Dr CHENG, Kwok Shing    鄭國城 博士
Associate Professor
Department of Mathematics and Information Technology
Contact
ORCiD
0000-0002-5614-3348
Phone
(852) 2948 8394
Email
chengks@eduhk.hk
Address
10 Lo Ping Road, Tai Po, New Territories, Hong Kong
Scopus ID
35995385400
SDGs
4 - Quality Education
9 - Industry, Innovation and Infrastructure
10 - Reduced Inequality
17 - Partnerships for the Goals
Research Interests
Dr Gary Cheng's research interests include, but not limited to, Artificial Intelligence in Education, Learning Analytics, Technology-enhanced Second Language Learning, ePortfolio-mediated Learning, Computer Programming Education, Online Learning Management System, and e-Assessment.

Teaching Interests

Dr Gary Cheng's teaching interests include, but not limited to, Artificial Intelligence, Computer Programming, Computer Networks, Database, Data Mining, Design and Analysis of Algorithms, and Research Methods for IT in Education.

External Appointments

A. Editorship

  • Associate Editor, Computers & Education: X Reality (2022-Present)
  • Editorial Board Member, Data in Brief (2023-Present)
  • Guest Editor, Special Issue on “Sustainable Education Technologies in Big Data and Artificial Intelligence Era”, Sustainability (2023)
  • Guest Editor, Special Issue on “Affective Computing and Sentiment Analysis”, Future Internet (2022)
  • Guest Editor, Special Issue on “Intelligent Language Acquisition in the Mobile Era”, International Journal of Mobile Learning and Organisation (2021)

B. Selected Invited Talks

  • Invited Speaker, Developing an AI-powered chatbot to Promote Personalized Learning for Diverse Learners. Education Digital Intelligence Forum: Promoting Equitable Educational Development through Digital Intelligent Transformation, Graduate School of Education, Peking University (2025)
  • Invited Speaker, Embracing Technology in Schools. Senegal School Leadership Online Training Programme. Belt & Road Hong Kong Centre x EdUHK (2025)
  • Invited Speaker, Empowering Minds: Designing and Implementing an AI-Infused General Education Interdisciplinary Course. HKUST x EdUHK Joint Conference on AI and Education (2024)
  • Invited Speaker, How to Promote Healthy Living Through STEM? The Joint Government Secondary School STEM Innovation Competition cum Fair, Arts & Technology Education Centre (2022)
  • Invited Speaker, How to Cultivate Students' Mathematical and Scientific Inquiry Abilities? The Education University of Hong Kong Jockey Club Primary School (2021)
  • Keynote Speaker, Using AI to Support Reflection, Feedback and Revision in EFL Writing, The International Symposium on Artificial Intelligence and Big Data (AIBD 2019), The Open University of Hong Kong (2019)

C. Selected Conference Committees

  • Co-Chair of C1 Sub-conference on Artificial Intelligence in Education/Intelligent Tutoring System (AIED/ITS) and Adaptive Learning of the 33rd International Conference on Computers in Education (ICCE 2025), Chennai, India (2025)
  • Organising Committee Co-Chair, International Conference on Learning and Teaching 2025 (ICLT 2025), Hong Kong SAR, China (2025)
  • Organising Committee Member, International Congress on Educational Futures 2024 (ICEF 2024), Hong Kong SAR, China (2024)
  • Local Organising Co-Chair, The IASC-ARS Interim Conference 2022, Hong Kong SAR, China (2022)
  • General Co-Chair, The 5th International Symposium on User Modeling and Language Learning (UMLL 2021), Zhuhai, China (2020)
  • General Co-Chair, The International Conference on Education and Artificial Intelligence (ICEAI 2020), Hong Kong SAR, China (2020)
  • General Co-Chair, The 6th International Symposium on Semantic Computing and Personalization (SeCoP 2020), Jeju, South Korea (2020)

D. Board of Directors

  • Board of Directors (BoD) Ordinary Member, The Asian Regional Section of The International Association for Statistical Computing (IASC-ARS) (2019-2023)

E. Incorporated Management Committee (IMC)

  • IMC Manager, The Education University of Hong Kong Jockey Club Primary School (2020-2023)

F. Hong Kong Diploma of Secondary Education Examination (HKDSE)

  • Subject Committee Member, Information & Communication Technology, HKDSE, Hong Kong Examinations and Assessment Authority (2015-2021)

G. External Advisor / Reviewer / Examiner

  • Advisory Peer Group Member, Master of Education in Instructional Technology and Educational Innovation, School of Education and Languages, Hong Kong Metropolitan University, Hong Kong SAR (2024-2027)
  • External Reviewer, Application for Faculty Development Scheme (FDS), Hong Kong Metropolitan University, Hong Kong SAR (2023-2024)
  • External Reviewer, Application for Residence in Hong Kong under the Quality Migrant Admission Scheme, Immigration Department, The Government of Hong Kong SAR (2019-2021)
  • External Quality Review Member, Quality Review of the Information Technology Services Division (ITSD), Vocational Training Council, Hong Kong SAR (2018)
  • External Examiner, Diploma and Higher Diploma Courses in Computer Science and Use of Information Technology, Li Ka Shing Institute of Professional and Continuing Education, The Open University of Hong Kong (2017-2019)
  • External Examiner, Advanced Diploma in Business Management (ADBM), HKU School of Professional and Continuing Education (2010-2011)

H. Other Professional Activities

  • Assessor, HKICT Awards 2024: Student Innovation Award, Digital Policy Office, The Government of Hong Kong SAR (2024)
  • 评委,粤澳学生信息科技创新大赛(广东省教育厅主办)(2024)
  • Judge, The Joint Government Secondary School STEM Innovation Competition cum Fair, Arts & Technology Education Centre (2023)
  • Judge, Hong Kong ICT Awards 2020, Office of the Government Chief Information Office, HKSAR Government (2020)
  • Judge, Outstanding IT Teacher Award, The Hong Kong Association for Computer Education (2019)
  • External Recruitment Board Member, Recruitment for Senior Education Development Officer at the Centre for Learning & Teaching, Vocational Training Council, Hong Kong SAR (2015)

I. Journal Reviewer

  • Asia-Pacific Forum on Science Learning and Teaching (2018)
  • Australasian Journal of Educational Technology (2010, 2012, 2016-2018)
  • British Journal of Educational Technology (2020)
  • Cogent Education (2025)
  • Computer Assisted Language Learning (2024)
  • Computers & Education (2014, 2016, 2018, 2023)
  • Computers & Education: Artificial Intelligence (2024)
  • Computers & Education: X Reality (2024)
  • Data in Brief (2024-2025)
  • Educational Technology & Society (2020, 2022-2024)
  • International Journal of Comparative Education and Development (2019)
  • International Journal of Mobile Learning and Organisation (2020)
  • Research and Practice in Technology Enhanced Learning (2015)
  • Teaching and Teacher Education (2023, 2024)
  • The Internet and Higher Education (2012, 2015-2022, 2024)
Personal Profile

A. Biography

Dr Cheng is the Executive Co-Director of the Centre for Learning, Teaching, and Technology (LTTC), the Associate Co-Director of the Global Institute for Emerging Technologies (GIET), and an Associate Professor in the Department of Mathematics and Information Technology (MIT) at The Education University of Hong Kong (EdUHK). With over two decades of experience in higher education, he specializes in teaching computer studies and information technology. His research focuses on technology-enhanced learning, with projects funded by the university and the Research Grants Council of Hong Kong. These projects cover a broad range of topics, primarily centred around using emerging technologies in education (please refer to his project website (link) for more details). Additionally, he has demonstrated a strong commitment to organising conferences, seminars and events that promote coding, STEAM and AI in education. Dr Cheng has published refereed journal articles in prestigious journals such as Computers & EducationThe Internet and Higher EducationInteractive Learning Environments, and Educational Technology & Society. Currently, he holds the position of Associate Editor at the open-access journal called "Computers & Education: X Reality" (link) and serves as an Editorial Board Member at "Data in Brief" (link).

B. Award and Recognition

  • World’s Top 2% Most-cited Scientists by Stanford University (Single-year citation impact in 2022 and 2023).
  • Excellent Paper Award: Towards the Design of a Personalized Vocabulary Learning System for University Graduates Based on Context Readability and Task Diversity. The 6th International Conference on Technology in Education 2023 (ICTE 2023), 2023.
  • Best Paper Presentation Award: Automated Tracking of Student Engagement with Teacher Feedback in EFL Writing for Predicting Their Performance. The 1st APSCE International Conference on Future Language Learning 2022 (ICFULL 2022), 2022.
  • Special Inventor Award and Silver Medal: GMoodle: Online Evidence-based Assessment System for Student Group Activities. The International Invention Innovation Competition in Canada (iCAN) 2019. Canada, 2019.
  • Silver Medal, Silicon Valley International Invention Festival (SVIIF): An Automated System for Tracking Student Responses to Teacher Feedback. USA, 2019.
  • Best Extended Abstract Award: Investigating the Effectiveness of Written Corrective Feedback on Student Revision: A Case Study in Taiwan. 2018 London International Conference on Education (LICE 2018), UK, 2018.
  • Excellent Presentation Award: Towards Automatic Classification of Teacher Feedback on Student Writing. 2017 7th International Conference on Education, Research and Innovation (ICERI 2017), Taiwan, 2017.
Research Interests

Dr Gary Cheng's research interests include, but not limited to, Artificial Intelligence in Education, Learning Analytics, Technology-enhanced Second Language Learning, ePortfolio-mediated Learning, Computer Programming Education, Online Learning Management System, and e-Assessment.

Teaching Interests

Dr Gary Cheng's teaching interests include, but not limited to, Artificial Intelligence, Computer Programming, Computer Networks, Database, Data Mining, Design and Analysis of Algorithms, and Research Methods for IT in Education.

External Appointments

A. Editorship

  • Associate Editor, Computers & Education: X Reality (2022-Present)
  • Editorial Board Member, Data in Brief (2023-Present)
  • Guest Editor, Special Issue on “Sustainable Education Technologies in Big Data and Artificial Intelligence Era”, Sustainability (2023)
  • Guest Editor, Special Issue on “Affective Computing and Sentiment Analysis”, Future Internet (2022)
  • Guest Editor, Special Issue on “Intelligent Language Acquisition in the Mobile Era”, International Journal of Mobile Learning and Organisation (2021)

B. Selected Invited Talks

  • Invited Speaker, Developing an AI-powered chatbot to Promote Personalized Learning for Diverse Learners. Education Digital Intelligence Forum: Promoting Equitable Educational Development through Digital Intelligent Transformation, Graduate School of Education, Peking University (2025)
  • Invited Speaker, Embracing Technology in Schools. Senegal School Leadership Online Training Programme. Belt & Road Hong Kong Centre x EdUHK (2025)
  • Invited Speaker, Empowering Minds: Designing and Implementing an AI-Infused General Education Interdisciplinary Course. HKUST x EdUHK Joint Conference on AI and Education (2024)
  • Invited Speaker, How to Promote Healthy Living Through STEM? The Joint Government Secondary School STEM Innovation Competition cum Fair, Arts & Technology Education Centre (2022)
  • Invited Speaker, How to Cultivate Students' Mathematical and Scientific Inquiry Abilities? The Education University of Hong Kong Jockey Club Primary School (2021)
  • Keynote Speaker, Using AI to Support Reflection, Feedback and Revision in EFL Writing, The International Symposium on Artificial Intelligence and Big Data (AIBD 2019), The Open University of Hong Kong (2019)

C. Selected Conference Committees

  • Co-Chair of C1 Sub-conference on Artificial Intelligence in Education/Intelligent Tutoring System (AIED/ITS) and Adaptive Learning of the 33rd International Conference on Computers in Education (ICCE 2025), Chennai, India (2025)
  • Organising Committee Co-Chair, International Conference on Learning and Teaching 2025 (ICLT 2025), Hong Kong SAR, China (2025)
  • Organising Committee Member, International Congress on Educational Futures 2024 (ICEF 2024), Hong Kong SAR, China (2024)
  • Local Organising Co-Chair, The IASC-ARS Interim Conference 2022, Hong Kong SAR, China (2022)
  • General Co-Chair, The 5th International Symposium on User Modeling and Language Learning (UMLL 2021), Zhuhai, China (2020)
  • General Co-Chair, The International Conference on Education and Artificial Intelligence (ICEAI 2020), Hong Kong SAR, China (2020)
  • General Co-Chair, The 6th International Symposium on Semantic Computing and Personalization (SeCoP 2020), Jeju, South Korea (2020)

D. Board of Directors

  • Board of Directors (BoD) Ordinary Member, The Asian Regional Section of The International Association for Statistical Computing (IASC-ARS) (2019-2023)

E. Incorporated Management Committee (IMC)

  • IMC Manager, The Education University of Hong Kong Jockey Club Primary School (2020-2023)

F. Hong Kong Diploma of Secondary Education Examination (HKDSE)

  • Subject Committee Member, Information & Communication Technology, HKDSE, Hong Kong Examinations and Assessment Authority (2015-2021)

G. External Advisor / Reviewer / Examiner

  • Advisory Peer Group Member, Master of Education in Instructional Technology and Educational Innovation, School of Education and Languages, Hong Kong Metropolitan University, Hong Kong SAR (2024-2027)
  • External Reviewer, Application for Faculty Development Scheme (FDS), Hong Kong Metropolitan University, Hong Kong SAR (2023-2024)
  • External Reviewer, Application for Residence in Hong Kong under the Quality Migrant Admission Scheme, Immigration Department, The Government of Hong Kong SAR (2019-2021)
  • External Quality Review Member, Quality Review of the Information Technology Services Division (ITSD), Vocational Training Council, Hong Kong SAR (2018)
  • External Examiner, Diploma and Higher Diploma Courses in Computer Science and Use of Information Technology, Li Ka Shing Institute of Professional and Continuing Education, The Open University of Hong Kong (2017-2019)
  • External Examiner, Advanced Diploma in Business Management (ADBM), HKU School of Professional and Continuing Education (2010-2011)

H. Other Professional Activities

  • Assessor, HKICT Awards 2024: Student Innovation Award, Digital Policy Office, The Government of Hong Kong SAR (2024)
  • 评委,粤澳学生信息科技创新大赛(广东省教育厅主办)(2024)
  • Judge, The Joint Government Secondary School STEM Innovation Competition cum Fair, Arts & Technology Education Centre (2023)
  • Judge, Hong Kong ICT Awards 2020, Office of the Government Chief Information Office, HKSAR Government (2020)
  • Judge, Outstanding IT Teacher Award, The Hong Kong Association for Computer Education (2019)
  • External Recruitment Board Member, Recruitment for Senior Education Development Officer at the Centre for Learning & Teaching, Vocational Training Council, Hong Kong SAR (2015)

I. Journal Reviewer

  • Asia-Pacific Forum on Science Learning and Teaching (2018)
  • Australasian Journal of Educational Technology (2010, 2012, 2016-2018)
  • British Journal of Educational Technology (2020)
  • Cogent Education (2025)
  • Computer Assisted Language Learning (2024)
  • Computers & Education (2014, 2016, 2018, 2023)
  • Computers & Education: Artificial Intelligence (2024)
  • Computers & Education: X Reality (2024)
  • Data in Brief (2024-2025)
  • Educational Technology & Society (2020, 2022-2024)
  • International Journal of Comparative Education and Development (2019)
  • International Journal of Mobile Learning and Organisation (2020)
  • Research and Practice in Technology Enhanced Learning (2015)
  • Teaching and Teacher Education (2023, 2024)
  • The Internet and Higher Education (2012, 2015-2022, 2024)
Research Outputs

Scholarly Books, Monographs and Chapters
Chapter in an edited book (author)
Cheng, G, & Zou, D. (2023). Towards the design of a personalized vocabulary learning system for university graduates based on context readability and task diversity. In Simon K. S. Cheung, Fu Lee Wang, Naraphorn Paoprasert, Peerayuth Charnsethikul, Kam Cheong Li, Kongkiti Phusavat, Technology in Education. Innovative Practices for the New Normal: 6th International Conference on Technology in Education, ICTE 2023, Proceedings (pp. 129-138). Singapore: Springer. https://doi.org/10.1007/978-981-99-8255-4
Xie, H., Huang, X., Cheng, G., Wang, F.L., Chong, J. C. M. (2023). Flipped Data Science Classrooms with Peer Instruction and Just-In-Time Teaching: Students’ Perceptions and Learning Experiences. In C. S. González-González, B. Fernández-Manjón, F. Li, F. J. García-Peñalvo, F. Sciarrone, M. Spaniol, A. García-Holgado, M. Area-Moreira, M. Hemmje, & T. Hao (Eds.), Learning Technologies and Systems. ICWL SETE 2022. LNCS, vol 13869 (pp. 395-402). Cham: Springer.. https://doi.org/10.1007/978-3-031-33023-0_37
Chen, X., Zou, D., Cheng, G., & Xie, H. (2022). Understanding Classroom Interaction Using Epistemic and Social Network Analysis. In R. C. Li, S. K. S. Cheung, P. H. F. Ng, L. P. Wong, & F. L. Wang (Eds.), Blended Learning: Engaging Students in the New Normal Era. ICBL 2022. LNCS, vol 13357 (pp. 157-167). Cham: Springer.. https://doi.org/10.1007/978-3-031-08939-8_14
Chen, X., Zou, D., Xie, H., & Cheng, G. (2022). Socialization in language learning: Topic modeling and bibliometric analysis. In J. Colpaert & G. Stockwell (Eds.), SMART CALL: Personalization, Contextualization, & Socialization (pp. 151-183). London: Castledown.. https://doi.org/10.29140/9781914291012
Chen, X., Zou, D., Xie, H., & Cheng, G. (2022). Systematic Evaluation of Research Progress on Technology-Enhanced Language Learning: Content Analysis and Knowledge Mapping. In E. Popescu, T. Hao, T.-C. Hsu, H. Xie, M. Temperini, & W. Chen (Eds.), Emerging Technologies for Education. SETE 2021. LNCS, vol 13089 (pp. 334-343). Cham: Springer.. https://doi.org/10.1007/978-3-030-92836-0_29
Cheng, G., Chui, M.H.L., Mak, B.C.N. (2022). Investigating the Impact of Teacher Feedback on Content Revisions in EFL Students’ Writing by the Automated Tracking Approach. In E. Popescu, T. Hao, T.-C. Hsu, H. Xie, M. Temperini, & W. Chen (Eds.), Emerging Technologies for Education. SETE 2021. LNCS, vol 13089 (pp. 355-363). Cham: Springer.. https://doi.org/10.1007/978-3-030-92836-0_31
Chui, M.H.L., Mak, B.C.N., & Cheng, G. (2022). Exploring the potential, features, and functions of small talk in digital distance teaching on Zoom: A mixed-method study by quasi-experiment and conversation analysis. In E. Popescu, T. Hao, T.-C. Hsu, H. Xie, M. Temperini, & W. Chen (Eds.), Emerging Technologies for Education. SETE 2021. LNCS, vol 13089 (pp. 364-372.). Cham: Springer.. https://doi.org/10.1007/978-3-030-92836-0_32
Ng, W. S., Xie, H., & Cheng, G. (2020). Enhancing academic reading skills using a peer assessment of online collaborative annotation approach. In J. Filipe, A. Ghosh, R. O. Prates, & L. Zhou (Eds.), Communications in Computer and Information Science, vol 1302 (pp. 281-292). Singapore: Springer.. https://doi.org/10.1007/978-981-33-4594-2_24
Chen, X., Zou, D., Cheng, G., Xie, H., Wang, F. L., & Wong, L. P. (2020). Core Research Topics of Studies on Personalized Feedback in the Past Four Decades. In Y. Nah, C. Kim, S. H. Kim, Y.-S. Moon, & S. E. Whang (Eds.), Database Systems for Advanced Applications. DASFAA 2020. LNCS, vol 12115. (pp. 121-130). Cham: Springer.. https://doi.org/10.1007/978-3-030-59413-8_10
Chen, X., Zou, D., Xie, H., & Cheng, G. (2020). What are MOOCs Learners’ Concerns? Text Analysis of Reviews for Computer Science Courses. In Y. Nah, C. Kim, S. H. Kim, Y.-S. Moon, & S. E. Whang (Eds.), Database Systems for Advanced Applications. DASFAA 2020. LNCS, vol 12115. (pp. 73-79). Cham: Springer.. https://doi.org/10.1007/978-3-030-59413-8_6
Cheng, G., & Ng, W. S. (2019). Secondary Students’ Views on Using Flipped Classroom to Learn Computer Programming: Lessons Learned in a Mixed Methods Study. In S.K.S. Cheung, J. Jiao, L.-K. Lee, X. Zhang, K.C .Li, & Z. Zhan (Eds.), Technology in Education: Pedagogical Innovations (pp. 27-36). Singapore: Springer Nature.
Poon, L. K. M., Li, Z., & Cheng, G. (2017). Topic classification on short reflective writings for monitoring students’ progress. In S. K. Cheung, L.-F. Kwok, W. W. Ma, L.-K. Lee, & H. Yang (Eds.), Blended Learning. New Challenges and Innovative Practices. ICBL 2017. LNCS, vol 10309 (pp. 236-246). Cham: Springer.. https://doi.org/10.1007/978-3-319-59360-9_21
Cheng, G., & Chui, H. L. (2015). The Greater the Online Participation, the Better the Learning Achievement? A Study of Moodle into Learning. In K. C. Li, T. -L. Wong, S. K. S. Cheung, J. Lam, & K. K. Ng (Eds.), Technology in Education: Transforming Educational Practices with Technology (pp. 136-144). Berlin, Heidelberg: Springer-Verlag.. https://doi.org/10.1007/978-3-662-46158-7_14
Chui, H. L., Au-Yeung, H. K. C., & Cheng, G. (2015). Reflective Practice with Digital Portfolio for Teacher Readiness and Maturation of Prospective Teacher within the TPACK Framework. In K. C. Li, T. -L. Wong, S. K. S. Cheung, J. Lam, & K. K. Ng (Eds.), Technology in Education: Transforming Educational Practices with Technology (pp. 156-162). Berlin, Heidelberg: Springer-Verlag.. https://doi.org/10.1007/978-3-662-46158-7_16
Edited book (editor)
Cheng, G., Xie, H., & Zou, D. (Eds) (2020). Proceedings of International Conference on Education and Artificial Intelligence 2020 (ICEAI 2020). Hong Kong: The Education University of Hong Kong.
In S. So, W. Lam, H. Xie, & G. Cheng (Eds) (2019). Abstract Proceedings of the International Conference on Advances in STEM Education. Hong Kong: The Education University of Hong Kong.
Wang, Q.Y., Kong S.C., Zhang, B.H., Chang, B., Cheng, G., Shih, J.L., Lee, J.D., Sim, S.H., Wong, L.H., Tseng, C.C., Chun, C.C., Chao, C.C., Wang, A.C., Yen, C.J., Chen, C.P., Hong, J.C., Miao, C.Y., Looi, C.K., Li, X.M., & Shen, Z.Q. (Eds.) (2010). Workshop Proceedings of the 14th Global Chinese Conference on Computers in Education [CDROM]. Singapore: Global Chinese Society for Computers in Education.

Journal Publications
Publication in refereed journal
Zhang, R., Zou, D., & Cheng, G. (2024). Self-regulated digital game-based vocabulary learning: motivation, application of self-regulated learning strategies, EFL vocabulary knowledge development, and their interplay. Computer Assisted Language Learning, -, 1-43. https://doi.org/10.1080/09588221.2024.2344555
Chen, X., Zou, D., Cheng, G., & Xie, H. (2024). Deep neural networks for the automatic understanding of the semantic content of online course reviews. Education and Information Technologies, 29, 3953-3991. https://doi.org/10.1007/s10639-023-11980-6
Zhang, R., Zou, D. & Cheng, G. (2024). Technology-enhanced language learning with null and negative results since 2000: A systematic review based on the activity theory. Education and Information Technologies, 29, 5017-5077. https://doi.org/10.1007/s10639-023-11993-1
Wang, Z., Zou, D., Kohnke, L., Cheng, G., & Wang, L. (2024). A systematic review of mobile-based synchronous and asynchronous language teaching and learning. International Journal of Mobile Learning and Organisation, Online first, 1-31. http://dx.doi.org/10.1504/IJMLO.2024.10054424
Guo, X., Wang, Y., Liu, H., Xie, H., Cheng, G., & Wang, F. L. (2023). Steerable graph neural network on point clouds via second-order random walks. IEEE Transactions on Multimedia. https://doi.org/10.1109/TMM.2023.3330338
Zou, D., Jong, M. S. Y., Huang, X., Cheng, G., Hwang, G. J., & Jiang, M. Y. C. (2023). A systematic review of SVVR in language education in terms of the ADDIE model. Interactive Learning Environments. https://doi.org/10.1080/10494820.2023.2277747
Cheng, G., Zou, D., Xie, H., & Wang, F. L. (2023). Exploring differences in self-regulated learning strategy use between high- and low-performing students in introductory programming: An analysis of eye-tracking and retrospective think-aloud data from program comprehension. Computers and Education, 208., Article 104948. https://doi.org/10.1016/j.compedu.2023.104948
Zhang, R., Zou, D., & Cheng, G. (2023). A systematic review of technology-enhanced L2 listening development since 2000. Language Learning and Technology, 27(3), 41-64. https://www.lltjournal.org/item/10125-73531/
Zhang, R., Zou, D., & Cheng, G. (2023). Learner engagement in digital game-based vocabulary learning and its effects on EFL vocabulary development. System, 119., Article 103173. https://doi.org/10.1016/j.system.2023.103173
Chen, X. ., Zou, D., Cheng, G. ., Xie, H. ., & Su, F. (2023). Effects of flipped language classrooms on learning outcomes in higher education: A Bayesian meta-analysis. Australasian Journal of Educational Technology, 39(2), 65-97. https://doi.org/10.14742/ajet.8019
Wu, P., Gu, L., Yan, X., Xie, H., Wang, F. L., Cheng, G., & Wei, M. (2023). PV-RCNN++: Semantical point-voxel feature interaction for 3D object detection. Visual Computer, 39, 2425-2440.. https://doi.org/10.1007/s00371-022-02672-2
Zhang, R., Zou, D., & Cheng, G. (2023). Chatbot-Based Learning of Logical Fallacies in EFL Writing: Perceived Effectiveness in Improving Target Knowledge and Learner Motivation. Interactive Learning Environments, Advance online publication. https://doi.org/10.1080/10494820.2023.2220374
Huang, X., Zou, D., Cheng, G., Chen, X., Xie, H. (2023). A bibliometric analysis of the trends, topics, and findings of research publications on asynchronous and synchronous online language learning over three decades. Knowledge Management & E-Learning, 15(2), 153-173. https://doi.org/10.34105/j.kmel.2023.15.009.
Zhu, D., Wang, W., Xue, X., Xie, H., Cheng, G., Wang, F. L. (2023). Structure-preserving image smoothing via contrastive learning. The Visual Computer, xx, xx-xx.. https://doi.org/10.1007/s00371-023-02897-9
Chen, X., Xie, H., Li, Z., Zhang, D., Cheng, G., Wang, F. L., Dai, H.-N., & Li, Q. (2023). Leveraging deep learning for automatic literature screening in intelligent bibliometrics. International Journal of Machine Learning and Cybernetics, 14, 1483-1525.. https://doi.org/10.1007/s13042-022-01710-8
Chen, X., Zou, D., Cheng, G., Xie, H., & Jong, M. (2023). Blockchain in smart education: Contributors, collaborations, applications and research topics. Education and Information Technologies, 28, 4597-4627.. https://doi.org/10.1007/s10639-022-11399-5
Wei, X., Chow, M.-K., Huang, L., Huang, X., & Cheng, G. (2023). Teacher evaluation in primary and secondary schools: A systematic review of SSCI journal publications from 2012 to 2022. Sustainability, 15(9), 7280.. https://doi.org/10.3390/su15097280
Zhang, R., Zou, D., & Cheng, G. (2023). A review of chatbot-assisted learning: Pedagogical approaches, implementations, factors leading to effectiveness, theories, and future directions. Interactive Learning Environments, xx, xx- xx.. https://doi.org/10.1080/10494820.2023.2202704
Zhang, R., Zou, D., & Cheng, G. (2023). Chatbot-based training on logical fallacy in EFL argumentative writing. Innovation in Language Learning and Teaching, xx, xx- xx.. https://doi.org/10.1080/17501229.2023.2197417
Zhang, R., Zou, D., & Cheng, G. (2023). Concepts, affordances, and theoretical frameworks of mixed reality enhanced language learning. Interactive Learning Environments, xx, xx- xx.. https://doi.org/10.1080/10494820.2023.2187421
Shen, Y., Wang, Y., Wei, M., Chen, H., Xie, H., Cheng, G., & Wang, F. L. (2023). Semi-MoreGAN: Semi-supervised generative adversarial network for mixture of rain removal. Computer Graphics Forum, 41(7), 443-454.. https://doi.org/10.1111/cgf.14690
Chen, X., Zou, D., Xie, H., Chen, G., Lin, J. & Cheng, G. (2023). Exploring contributors, collaborations, and research topics in educational technology: A joint analysis of mainstream conferences. Education and Information Technologies, 28, 1323-1358.. https://doi.org/10.1007/s10639-022-11209-y
Chen, X., Cheng, G., Zou, D., Zhong, B., & Xie, H. (2023). Artificial intelligent robots for precision education: A topic modeling-based bibliometric analysis. Educational Technology and Society, 26(1), 171-186.. https://www.jstor.org/stable/48707975.
Chen, X., Xie, H., Li, Z., Cheng, G., Leng, M., & Wang, F. L. (2023). Information fusion and artificial intelligence for smart healthcare: A bibliometric study. Information Processing and Management, 60(1), 103113., Article 103113. https://doi.org/10.1016/j.ipm.2022.103113
Huang, X., Zou, D., Cheng, G., Chen, X., & Xie, H. (2023). Trends, research issues and applications of artificial intelligence in language education. Educational Technology and Society, 26(1), 112-131.. https://www.jstor.org/stable/48707971.
Wang, F. L., Zhao, Z., Cheng, G., Rao, Y., & Xie, H. (2023). Weighted cluster-level social emotion classification across domains. International Journal of Machine Learning and Cybernetics, 14, 2385- 2394.. https://doi.org/10.1007/s13042-022-01769-3
Li, P., Chen, Z., Xie, H., Wei, M., Wang, F. L., & Cheng, G. (2022). Interactive nonlocal joint learning network for red, green, blue plus depth salient object detection. Journal of Electronic Imaging, 31(6), 063040.. https://doi.org/10.1117/1.JEI.31.6.063040
Wang, F. L., Lu, Y., Cheng, G., Xie, H., & Rao Y (2022). Learning Chinese word embeddings from semantic and phonetic components. Multimedia Tools and Applications, 81, 42805-42820.. https://doi.org/10.1007/s11042-022-13488-6
Wang, L., Wang, J., Zhu, L., Fu, H., Li, P., Cheng, G., Feng, Z., Li, S., & Heng, P.-A. (2022). Dual multiscale mean teacher network for semi-supervised infection segmentation in chest CT volume for COVID-19. IEEE Transactions on Cybernetics, xx, xx- xx.. https://doi.org/10.1109/TCYB.2022.3223528
Yang, T., Wang, W., Cheng, G.*, Wei, M., Xie, H., & Wang, F. L. (2022). FDDL-Net: Frequency domain decomposition learning for speckle reduction in ultrasound images. Multimedia Tools and Applications, 81, 42769-42781.. https://doi.org/10.1007/s11042-022-13481-z
Zhu, D., Deng, S., Wang, W., Cheng, G., Wei, M., Wang, F. L., & Xie, H. (2022). HDRD-Net: High-resolution detail-recovering image deraining network. Multimedia Tools and Applications, 81, 42889-42906.. https://doi.org/10.1007/s11042-022-13489-5
Zhu, D., Zheng, C., Wang, W., Xie, H., Cheng, G., Wang, F. L., & Wei, M. (2022). Rapid fault extraction from seismic images via deep learning. Journal of Electronic Imaging, 31(5), 051423.. https://doi.org/10.1117/1.JEI.31.5.051423
Chen, X., Wang, F. L., Cheng, G., Chow, M.-K., & Xie, H. (2022). Understanding learners’ perception of MOOCs based on review data analysis using deep learning and sentiment analysis. Future Internet, 14(8), 218.. https://doi.org/10.3390/fi14080218
Chen, X., Zou, D., Cheng, G., & Xie, H. (2022). Thirty years of interactive learning environments: contributors, collaborations and research topics. International Journal of Mobile Learning and Organisation, 16(4), 447-474.. https://doi.org/10.1504/ijmlo.2022.125965
Zhang, R., Zou, D., Cheng, G., Xie, H., & Wang, F. L. (2022). Supportiveness of language MOOCs for self-regulated learning: A review of commercial language MOOCs on the market. International Journal of Mobile Learning and Organisation, 16(3), 323-348.. https://doi.org/10.1504/IJMLO.2022.124181
Wang, F. L., Zhu, D., Xie, H., Wang, W., & Cheng, G. (2022). Three-dimensional surface mesh optimization and centerline extraction of vasculatures for endovascular intervention simulation. Journal of Electronic Imaging, 31(3), 033038.. https://doi.org/10.1117/1.JEI.31.3.033038
Cheng, G. (2022). Using the community of inquiry framework to support and analyse BYOD implementation in the blended EFL classroom. Internet and Higher Education, 54, xx- xx., Article 100854. https://doi.org/10.1016/j.iheduc.2022.100854
Zhang, R., Zou, D., Cheng, G., & Xie, H. (2022). Implementing technology-enhanced collaborative writing in second and foreign language learning: A review of practices, technology and challenges. Education and Information Technologies, xx, xx-xx.. https://doi.org/10.1007/s10639-022-10941-9
Chen, X., Cheng, G., Wang, F. L., Tao, X., Xie, H., & Xu, L. (2022). Machine and cognitive intelligence for human health: Systematic review. Brain Informatics, 9., Article 5. https://doi.org/10.1186/s40708-022-00153-9
Fu, Q.-K., Zou, D., Xie, H., & Cheng, G. (2022). A review of AWE feedback: types, learning outcomes, and implications. Computer Assisted Language Learning, xx, xx- xx.. https://doi.org/10.1080/09588221.2022.2033787
Zhang, H., Li, Z., Xie, H., Lau, R. Y. K., Cheng, G., Li, Q., & Zhang, D. (2022). Leveraging statistical information in fine-grained financial sentiment analysis. World Wide Web, 25, 513-531.. https://doi.org/10.1007/s11280-021-00993-1
Chen, X., Zou, D., Xie, H., Cheng, G., & Liu, C. (2022). Two decades of artificial intelligence in education: Contributors, collaborations, research topics, challenges, and future directions. Educational Technology and Society, 25(1), 28-47.. https://www.j-ets.net/collection/published-issues/25_1
Cheng, G. (2022). Exploring the effects of automated tracking of student responses to teacher feedback in draft revision: evidence from an undergraduate EFL writing course. Interactive Learning Environments, 30(2), 353-375.. https://doi.org/10.1080/10494820.2019.1655769
Fu, Q.-K., Zou, D., Xie, H., Cheng, G., & Hwang, G.-J. (2022). Effects of a collaborative design approach on pre-service teachers’ ability of designing for learning with a digital game. Education and Information Technologies, 27, 5641-5664.. https://doi.org/10.1007/s10639-021-10818-3
Zhu, D., Chen, H., Wang, W., Xie, H., Cheng, G., Wei, M., Wang, J., & Wang, F. L. (2022). Non-local low-rank point cloud denoising for 3D measurement surfaces. IEEE Transactions on Instrumentation and Measurement, 71, 1-14., Article 5002214. https://doi.org/10.1109/TIM.2021.3139686
Chen, X., Zou, D., Xie, H., Cheng, G., & Su, F. (2021). A bibliometric analysis of game-based collaborative learning between 2000 and 2019. International Journal of Mobile Learning and Organisation, 16(1), 20-51.. https://doi.org/10.1504/IJMLO.2022.119952
Chen, X., Cheng, G., Xie, H., Chen, G., & Zou, D. (2021). Understanding MOOC Reviews: Text Mining using Structural Topic Model. Human-Centric Intelligent Systems, 1(3-4), 55-65.. https://doi.org/10.2991/hcis.k.211118.001
Cheng, G., Chwo, G. S.-M., & Ng, W. S. (2021). Automated tracking of student revisions in response to teacher feedback in EFL writing: Technological feasibility and teachers' perspectives. Interactive Learning Environments, xx, xx- xx.. https://doi.org/10.1080/10494820.2021.2001539
Chen, X., Xie, H., Wang, J., Li, Z., Cheng, G., Wong, M. L., & Wang, F. L. (2021). A bibliometric review of soft computing for recommender systems and sentiment analysis. IEEE Transactions on Artificial Intelligence, xx, xx-xx.. https://doi.org/10.1109/TAI.2021.3116551
Chen, Z., Ding, C., Rao, Y., Xie, H., Tao, X., Cheng, G., & Wang, F. L. (2021). Hierarchical neural topic modeling with manifold regularization. World Wide Web, 24, 2139-2160.. https://doi.org/10.1007/s11280-021-00963-7
Li, Z., Chen, X., Xie, H., Li, Q., Tao, X., & Cheng, G. (2021). EmoChannel-SA: exploring emotional dependency towards classification task with self-attention mechanism. World Wide Web, 24, 2049-2070.. https://doi.org/10.1007/s11280-021-00957-5
Poon, L. K. M., Ng, W. S., & Cheng, G. (2021). Automatic Topic Detection on Chinese Essays: A Technology Enhanced Approach for Facilitating Formative Use of Summative Assessment. International Journal of Mobile Learning and Organization, 15(4), 374-391.. https://doi.org/10.1504/IJMLO.2021.118434
Wu, Y., Zhang, R., Zhu, L., Wang, W., Wang, S., Xie, H., Cheng, G., Wang, F. L., He, X., & Zhang, H. (2021). BGM-Net: Boundary-guided multiscale network for breast lesion segmentation in ultrasound. Frontiers in Molecular Biosciences, 8, 698334.. https://doi.org/10.3389/fmolb.2021.698334
Chen, X., Xie, H., Li, Z., & Cheng, G. (2021). Topic analysis and development in knowledge graph research: A bibliometric review on three decades.. Neurocomputing, 461, 497-515.. https://doi.org/10.1016/j.neucom.2021.02.098
Zhang, R., Zou, D., Cheng, G., Xie, H., Wang, F. L., & Au, O. T. S. (2021). Target languages, types of activities, engagement, and effectiveness of extramural language learning. PLoS One, 16(6), e0253431.. https://doi.org/10.1371/journal.pone.0253431
Chen, X., Xie, H., Cheng, G., & Li, Z. (2021). A Decade of Sentic Computing: Topic Modeling and Bibliometric Analysis. Cognitive Computation, 14, 24-47.. https://doi.org/10.1007/s12559-021-09861-6
Huang, X., Zou, D., Cheng, G., & Xie, H. (2021). A Systematic Review of AR and VR Enhanced Language Learning.. Sustainability, 13, 1-28.
Li, Z., Xie, H., Cheng, G., & Li, Q. (2021). Word-level emotion distribution with two schemas for short text emotion classification. Knowledge-Based Systems, 227, 107163.. https://doi.org/10.1016/j.knosys.2021.107163
Chen, X., Zou, D., Xie, H., & Cheng, G. (2021). A Topic-Based Bibliometric Review of Computers in Human Behavior: Contributors, Collaborations, and Research Topics.. Sustainability, 13.4859, 1-21.
Chen, X., Zou, D., Xie, H., & Cheng, G. (2021). Twenty years of personalized language learning: topic modeling and knowledge mapping. Educational Technology & Society, 24(1), 205-222.
Yang, Q., Xie, H., Cheng, G., Wang, F. L., & Rao, Y. (2021). Pronunciation-enhanced Chinese Word Embedding. Cognitive Computation, 13, 688-697.. https://doi.org/10.1007/s12559-021-09850-9
Zhu, D., Zhang, Y., Li, Z., Wang, W., Xie, H., Wei, M., Cheng, G., & Wang, F. L. (2021). Cascaded Normal Filtering Neural Network for Geometry-aware Mesh Denoising of Measurement Surfaces. IEEE Transactions on Instrumentation & Measurement, 70, 1-13.. https://doi.org/10.1109/TIM.2021.3061247
Zhang, R., Cheng, G., & Chen, X. (2020). Game-based self-regulated language learning: Theoretical analysis and bibliometrics. PLoS One, 15(12), e0243827.. https://doi.org/10.1371/journal.pone.0243827
Chen, X.L., Zou, D., Cheng, G. & Xie, H. (2020). Detecting latent topics and trends in educational technologies over four decades using structural topic modeling: A retrospective of all volumes of Computers & Education. Computer & Education, 151, 1-21.
Chen, X., Chen, J., Cheng, G., & Gong, T. (2020). Topics and trends in artificial intelligence assisted human brain research. PLoS ONE, 15(4), e0231192.. https://doi.org/10.1371/journal.pone.0231192
Chen, X., Xie, H., Cheng, G., Poon, L. K. M., Leng, M., & Wang, F. L. (2020). Trends and Features of the Applications of Natural Language Processing Techniques for Clinical Trials Text Analysis. Applied Sciences, 10(6), 2157.. https://doi.org/10.3390/app10062157
Di Zou, Minhong Wang, Haoran Xie, Gary Cheng, Fu Lee Wang, Lap-Kei Lee (2020). A comparative study on linguistic theories for modelling EFL learners: facilitating personalized vocabulary learning via task recommendations. Interactive Learning Environments, xxx, 1-34.
Wong, T.L., Zou, D., Cheng, G., Tang, K.T., Cai, Y. & Wang, F.L. (2020). Enhancing Skill Prediction through Generalizing Bayesian Knowledge Tracing.. International Journal of Mobile Learning and Organisation., 0, 0-0.
Chen, X., Yu, G., Cheng, G., & Hao T. (2019). Research topics, author profiles, and collaboration networks in the top-ranked journal on educational technology over the past 40 years: a bibliometric analysis. Journal of Computers in Education, 6, 563-585.. https://doi.org/10.1007/s40692-019-00149-1
Ng, W. S., & Cheng, G. (2019). Integrating Drone Technology in STEM Education: A Case Study to Assess Teachers’ Readiness and Training Needs. Issues in Informing Science and Information Technology, 16, 61-70.. https://doi.org/10.28945/4288
Cheng, G. (2019). Exploring factors influencing the acceptance of visual programming environment among boys and girls in primary schools. Computers in Human Behavior, 92, 361-372.. https://doi.org/10.1016/j.chb.2018.11.043
Cheng, G., Chen, J., Foung, D., Lam, V., & Tom, M. (2018). Towards automatic classification of teacher feedback on student writing. International Journal of Information and Education Technology, 8(5), 342-346.. https://doi.org/10.18178/ijiet.2018.8.5.1060
Cheng, G. (2018). Design and analysis of Bring Your Own Device (BYOD) pedagogies in higher education. International Journal of Learning and Teaching, 4(1), 15-19.. https://doi.org/10.18178/ijlt.4.1.15-19
Cheng, G. (2017). The impact of online automated feedback on students’ reflective journal writing in an EFL course. The Internet and Higher Education, 34, 18-27.. https://doi.org/10.1016/j.iheduc.2017.04.002
Cheng, G. (2017). Towards an automatic classification system for supporting the development of critical reflective skills in L2 learning. Australasian Journal of Educational Technology, 33(4), 1-21.. https://doi.org/10.14742/ajet.3029
Cheng, G., Guan, Y., & Chau, J. (2016). An Empirical Study Towards Understanding User Acceptance of Bring Your Own Device (BYOD) in Higher Education. Australasian Journal of Educational Technology, 32(4), 1-17.. https://doi.org/10.14742/ajet.2792
Cheng, G., & Chau, J. (2016). Exploring the relationships between learning styles, online participation, learning achievement and course satisfaction: An empirical study of a blended learning course. British Journal of Educational Technology, 47(2), 257-278.. https://doi.org/10.1111/bjet.12243
Cheng, G. (2014). Exploring students’ learning styles in relation to their acceptance and attitudes towards using Second Life in education: A case study in Hong Kong. Computers & Education, 70, 105-115.. https://doi.org/10.1016/j.compedu.2013.08.011
Cheng, G., & Wong, T.-L. (2014). A Study on Learning Styles and Acceptance of Using Second Life for Learning in a Visual Arts Course. Open Journal of Social Sciences, 2(2), 22-28.. https://doi.org/10.4236/jss.2014.22004
Cheng, G., & Chau, J. (2013). Exploring the relationship between students' self-regulated learning ability and their ePortfolio achievement. The Internet and Higher Education, 17, 9-15.. https://doi.org/10.1016/j.iheduc.2012.09.005
Cheng, G., & Chau, J. (2013). A study of the effects of goal orientation on the reflective ability of electronic portfolio users. The Internet and Higher Education, 16, 51-56.. https://doi.org/10.1016/j.iheduc.2012.01.003
Chau, J., & Cheng, G. (2012). Developing Chinese Students' Reflective Second Language Learning Skills in Higher Education. The Journal of Language Teaching and Learning, 2(1), 15-32.. https://www.jltl.com.tr/index.php/jltl/article/view/88/7
Cheng, G., & Chau, J. (2011). A Comparative Study of Using Blogs and Wikis for Knowledge Construction. International Journal of Instructional Media, 38(1), 71-78.
Chau, J., & Cheng, G. (2010). Towards understanding the potential of e-portfolios for independent learning: A qualitative study. Australasian Journal of Educational Technology, 26(7), 932-950.. https://doi.org/10.14742/ajet.1026
Chau, J., & Cheng, G. (2010). ePortfolio, Technology, and Learning: a Reality Check. Journal of Interactive Learning Research, 21(3), 465-481.
Cheng, G., & Chau, J. (2009). Digital video for fostering self-reflection in an ePortfolio environment. Learning, Media and Technology, 34(4), 337-350.. https://doi.org/10.1080/17439880903338614
Cheng, G. (2009). Using game making pedagogy to facilitate student learning of interactive multimedia. Australasian Journal of Educational Technology, 25 (2), 204-220.. https://doi.org/10.14742/ajet.1150
Cheng, G. (2008). Implementation challenges of the English language ePortfolio system from various stakeholder perspectives. Journal of Educational Technology Systems, 37 (1), 97-118.. https://doi.org/10.2190/ET.37.1.h

Conference Papers
Refereed conference paper
Cheng, G., Jiang, B. , Sun, D., Gao, M., & Song, Z. (2024, November). Analyzing teacher-student dialogues in online one-on-one primary mathematics tutoring: A lag sequential analysis of group differences. Proceedings of the 32nd International Conference on Computers in Education, Philippines.
Cheng, G., & Ma, Y. T. (2024, April). Exploring the Relationship between University Students’ Perception of Alternative and Authentic Assessment Implementation and their Involvement. Proceedings of International Congress on Educational Futures 2024 (ICEF 2024), Hong Kong SAR, China.
Cheung, W. M. Y., Fu, H., & Cheng, G. K. S. (2024, April). Analyzing University Students’ Perception of Study Programmes and Development of Generic Intended Learning Outcomes with Machine Learning. Proceedings of International Congress on Educational Futures 2024 (ICEF 2024), Hong Kong SAR, China..
Chung, W. Y. K., Cheng, G., Chow, C. C., & Lam, S. M. S. (2023, May). Promoting AI Literacy in Pre-Service Teacher Education: Case Studies on Pedagogical Design. Programme Handbook of International Conference on Learning and Teaching for Future Readiness 2023 (ICLT 2023), Hong Kong SAR, China.
Chen, X., Zhang, R., Zou, D., Cheng, G., Xie, H., & Wang, F. L. (2022, October). Online learning research in the era of COVID-19: Bibliometric analysis and topic modeling. Proceedings of the 2022 IEEE International Conference on Behavioural and Social Computing (BESC-2022), Matsuyama, Japan.. https://doi.org/10.1109/BESC57393.2022.9994896
Cheng, G. (2022, July). Automated tracking of student engagement with teacher feedback in EFL writing for predicting their performance. Proceedings of The 1st APSCE International Conference on Future Language Learning (ICFULL 2022), Online.
Chen, X., Zou, D., Cheng, G., & Xie, H. (2021, July). Artificial intelligence-assisted personalized language learning: Systematic review and co-citation analysis. Proceedings of the International Conference on Advanced Learning Technologies (ICALT 2021). https://doi.org/10.1109/ICALT52272.2021.00079
Chen, X., Zou, D., Cheng, G., & Xie, H. (2020, November). Thirty years of Interactive Learning Environments: A text mining based bibliometric analysis. Proceedings of the International Conference on Education and Artificial Intelligence 2020 (ICEAI 2020), Online.
Chen, X., Zou, D., Xie, H., Cheng, G., & Liu, C. (2020, November). A Bibliometric Study on Artificial Intelligence in Education for Two Decades. Proceedings of the International Conference on Education and Artificial Intelligence 2020 (ICEAI 2020), Online.
Huang, X., Zou, D., & Cheng, G. (2020, November). Artificial Intelligence in language education. Proceedings of the International Conference on Education and Artificial Intelligence 2020 (ICEAI 2020), Online.
Lau, W. W. F., Jong, M. S. Y., Cheng, G. K. S., Chu, S. K. W., & Wang, X. (2020, November). Demographic Predictors of Teachers’ Stages of Concern for STEM Education in Hong Kong. Proceedings of the 28th International Conference on Computers in Education (ICCE 2020), Online.
Lau, W.W.F., Jong, M.S.Y., Cheng, G.K.S. & Chu, S.K.W. (2020, June). Teachers’ Concerns about STEM Education in Hong Kong. Proceedings of EdMedia + Innovate Learning, Online.
Cheng, G., Poon, L. K. M., Lau, W. W. F., & Zhou, R. C. (2019, July). Applying Eye Tracking to Identify Students’ Use of Learning Strategies in Understanding Program Code. Proceedings of the 3rd International Conference on Education and Multimedia Technology (ICEMT 2019), Nagoya, Japan.
Cheng, G., Poon, L. K. M., Lau, W. W. F., & Zhou, R. C. (2019, April). Exploring the Relationship between Self-Regulated Learning Strategies and Computer Programming Achievement in Higher Education. Proceedings of the 5th International Conference on Education (ICEDU 2019), Kuala Lumpur, Malaysia.
Cheng, G., & Ng, W.S. (2019, March). Exploring Students’ Views on Using Flipped Classroom to Learn Computer Programming in Secondary Education. Proceedings of the 4th International Conference on Technology in Education (ICTE 2019), Guangzhou, China.
Cheng, G., & Chwo, S.-M. G. (2018, December). Investigating the effectiveness of written corrective feedback on EFL student revision: A case study in Taiwan. Proceedings of London International Conference on Education 2018 (LICE 2018), Cambridge, United Kingdom.
Cheng, G., Chwo, S.-M. G., Chen, J., Lam, V., Law, E., & Lai, R (2018, July). Exploring the relationship between types of teacher feedback and types of student revision in EFL writing courses. Proceedings of International Symposium on Teaching, Education, and Learning (ISTEL 2018), Seoul, South Korea.
Ng, W. S., & Cheng, G. (2018, July). A collaborative blended learning approach for learning Web programming. Proceedings of the International Conference on Information, Communication Technologies in Education (ICICTE 2018), Crete, Greece.
Cheng, G., & Ng, W. S. (2018, April). Using an automatic approach to classify EFL students’ revisions of their academic writing. Proceedings of the International Conference on Education and Global Studies (IConEGS 2018), Osaka, Japan.
Poon, L. K. M., Zhang, N. L., Xie, H., & Cheng, G. (2018, April). Handling Collocations in Hierarchical Latent Tree Analysis for Topic Modeling. Paper presented in the 3rd International Conference on Computer and Communication Systems, Nagoya, Japan.
Cheng, G., Chwo, S.-M. G., Chen, J., Foung, D., Lam, V., & Tom, M. (2017, December). Automatic classification of teacher feedback and its potential applications for EFL writing. Proceedings of the 25th International Conference on Computers in Education (ICCE 2017), Christchurch, New Zealand.
Yan, O.-S. & Cheng, G. (2017, December). Exploring the impact of flipped classroom on students’ acceptance of programming in secondary education. Proceedings of the 2017 IEEE International Conference on Teaching, Assessment and Learning for Engineering (TALE 2017), Hong Kong.
Cheng, G., Law, E, & Wong, T.-L. (2016, December). Investigating Effects of Automated Feedback on EFL Students’ Reflective Learning Skills. Proceedings of the 2016 IEEE International Conference on Teaching, Assessment and Learning for Engineering (TALE 2016), Bangkok, Thailand.
Cheng, G., & Chau, J. (2015, July). Using an Automatic Approach to Classify Reflective Language Learning Skills of ESL Students. Proceedings of the 2015 IEEE 15th International Conference on Advanced Learning Technologies (ICALT 2015), Hualien, Taiwan.
Cheng, G., & Chau, J. (2015, May). Exploring Students' Perceptions on the Use of the A-S-E-R Framework in Reflective L2 Learning. Proceedings of the 3rd International Conference on Social Science and Management (ICSSAM), Kyoto, Japan.
Cheng, G., & Chui, H. L. (2014, July). The greater the online participation, the better the learning achievement? A study of integrating Moodle into learning. Proceedings of the Inaugural International Conference on Technology in Education (ICTE 2014), Hong Kong.
Chui, H. L., Au Yeung, H. K. C., & Cheng, G. (2014, July). Reflective practice with digital portfolio for teacher readiness and maturation of prospective teacher within the TPACK framework. Proceedings of the Inaugural International Conference on Technology in Education (ICTE 2014), Hong Kong.
Chau, J., & Cheng, G. (2014, May). Towards an Online Automatic System for Classifying Reflective Language Learning Abilities: from Development to Implementation.. Proceedings of the International Conference on Social, Education and Management Engineering (SEME 2014), Macau.
Wong, T.-L., Ho, W. S., Tang, J., Wang, F. L., & Cheng, G. (2014, January). An Automatic Approach for Analyzing Online Discussion Forum via Text Mining. Proceedings of the Inaugural International Conference on Open and Flexible Education (ICOFE 2014), Hong Kong.
Cheng, G., & Chau, J. (2013, December). An Approach to Identify Levels of Reflection Using Latent Semantic Analysis. Proceedings of the 3rd International Conference on IT Convergence and Security (ICITCS 2013), Macau.
Kong, S. C., Cheng, G., & Liu, M. L. (2010, December). Tracking classroom activities in mobile technology-mediated lessons. Proceedings of the 18th International Conference on Computers in Education (ICCE2010), Malaysia.
Kong, S. C., Li, K. M., Cheng, K. S., & Kwok, W. Y. (2010, June). Conceptualizing the Framework for Developing an Online Resource Bank Geared to School Education. Proceedings of the 14th Global Chinese Conference on Computers in Education (GCCCE 2010), Singapore.
Cheng, G., & Kong, S. C. (2010, April). Lessons Learned from Planning the Use of Mobile Technologies at Schools in Hong Kong. Proceedings of the 6th IEEE International Conference on Wireless, Mobile, and Ubiquitous Technologies in Education (WMUTE 2010), Kaohsiung, Taiwan.

Creative and Literary Works, Consulting Reports and Case Studies
Consulting or contract research report
Kong, S.C., Li, K.M., & Cheng, K.S. (2009). A report on the study on need analysis of an online depository of curriculum-based learning and teaching resources for various key learning areas at key stage 3. Hong Kong: Education Bureau.

Projects

Promoting Personalized Learning in Elementary Mathematics through Collaboration between Teachers and Chatbots
Chatbots, like ChatGPT, are revolutionizing education by offering immediate, personalized support using large language models (LLMs). They engage students through interactive dialogues, tailored to individual learning needs, and are instrumental in various educational applications such as sentiment analysis, machine translation, and content summarization. However, their effectiveness is limited in handling complex topics, risking the spread of misinformation. Additionally, teachers are unable to monitor student-chatbot interactions, hindering their ability to address misunderstandings and adapt learning materials to student needs.

To address these issues, a collaborative framework between teachers and chatbots is proposed. This framework integrates chatbots’ extensive knowledge with teachers’ subject expertise, creating a comprehensive knowledge base for personalized learning. Under the proposed collaborative framework, chatbots will use teacher-provided resources to respond to complex student queries. Teachers will have access to chat records, allowing them to understand student challenges and tailor learning materials accordingly. By continuously monitoring these interactions, teachers can evaluate the chatbot’s effectiveness and adjust teaching content based on student needs. This collaborative approach aims to enhance the personalized learning experience for students. In this project, this approach will be applied to support personalized learning in elementary mathematics.

Project Start Year: 2024, Principal Investigator(s): CHENG, Kwok Shing, JIANG, Bo
SDGs Information: 4 - Quality Education, 9 - Industry, Innovation and Infrastructure, 17 - Partnerships for the Goals
 
Towards Automatic Analysis of Student Behaviour and Work to Facilitate Self-regulated Learning in Computer Programming
Research highlights the importance of computer programming in fostering innovation, problem-solving, and higher-order thinking skills. Increasing emphasis has been placed on equipping students with programming abilities, yet it remains challenging for novices in higher education, as evidenced by high failure rates in introductory courses. To address this, studies have explored factors influencing poor performance, including gender, learning styles, prior skills, and self-regulated learning (SRL) strategies. Efforts have also been made to assist students in identifying coding errors through automated analysis.

However, existing research provides limited insight into student programming behavior and effective SRL support. This project integrates SRL research and advanced technologies to enhance student engagement in programming practice, monitoring, and reflection. An automatic analyzer will be developed to track programming behavior via keylogging, detect errors using static and dynamic code analysis, and provide corrective feedback through machine learning. By delivering timely, individualized feedback, the project aims to advance understanding of how to foster SRL in programming. The findings will have significant implications for promoting online programming education, particularly in remote learning contexts.

Project Start Year: 2022, Principal Investigator(s): CHENG, Kwok Shing
SDGs Information: 4 - Quality Education, 9 - Industry, Innovation and Infrastructure
 
Developing language teachers’ technological pedagogical content knowledge and enhancing students’ language learning in virtual learning environments
COVID-19 has considerably impacted our lives and education in these two years and has been a real test of our creativity and adaptability in language education. While we may not know when the pandemic will abate, we understand the importance of developing language teachers’ Technological Pedagogical Content Knowledge (TPACK) and enhancing students’ language learning in Virtual Learning Environments (VLE). Thus, this project aims to establish a Professional Learning Community (PLC) on technology enhanced language learning (TELL) in VLEs among researchers worldwide and in-service and pre-service language teachers in Hong Kong. The core project team will help language teachers develop TPACK as they learn by doing in the PLC. We will organize public seminars and workshops and provide language teachers with training sessions, consultations, tutorials, roundtable discussions, and technical support to promote their TPACK development. We will also create a Knowledge Transfer (KT) website to promote TELL in VLEs. This website will showcase useful resources and associated learning activities to demonstrate how to use various technologies (e.g., Augmented Reality (AR), Virtual Reality (VR), digital games, and diversified online learning systems), and disseminate effective pedagogies for quality language education in VLEs. Additionally, an international conference on TELL in VLEs will be organized to disseminate the project findings and further promote TELL in VLEs.The Education University of Hong Kong has a long history and a strong track record in teacher training, professional development programmes, and integrating technology into language education. With the support from Lingnan University, The University of Hong Kong, Chinese University of Hong Kong, and The Hong Kong Polytechnic University, this project will contribute to teaching development and language enhancement during the pandemic and the post-pandemic era. This Inter-Institutional Collaborative initiative will benefit language teachers by developing their TPACK through learning by doing in a PLC. In doing so, this project can effectively foster teachers in integrating technology in their language classrooms to meet the real-time curricular and pedagogical requirements and the needs from individual students.

Through TPACK development in the project, teachers will improve their capacities for developing various VLEs with technologies such as AR, VR, and digital games, which eventually enhance students’ language learning. The project will also evaluate the effects of these virtual learning activities on students’ language learning performance, motivation, engagement, and technology acceptance through assessment and questionnaire surveys. Moreover, student feedback will be continuously collected and analyzed to improve TELL implementation in the form of VLEs. The PLC will also disseminate the project findings concerning TELL by creating VLEs through seminars, workshops, international conferences, and international journal publications.

Project Start Year: 2022, Principal Investigator(s): WANG, Lixun (CHENG, Kwok Shing as Co-Investigator)
SDGs Information: 4 - Quality Education, 17 - Partnerships for the Goals
 
Identifying Students’ Use of Self-regulated Learning Strategies in Introductory Programming
This project aims to gain a better understanding of the self-regulated learning (SRL) strategies employed by undergraduate students in introductory programming tasks. By utilizing a multi-source data approach, the project will examine the relationship between various SRL strategies and students' programming achievement in higher education. First-year university students enrolled in an introductory programming course will be invited to participate. The participants will engage in an eye-tracking experiment to read and comprehend short program codes displayed on a computer screen, with their screen activity being recorded through video. Subsequently, a retrospective video-recall interview will be conducted to gather insights into their actions during the experiment. The data collected from both the experiments and interviews will be analyzed to identify the SRL strategies utilized by the participants. Furthermore, the project will assess the correlation between participants' strategy data and their course performance.
Project Start Year: 2022, Principal Investigator(s): CHENG, Kwok Shing
SDGs Information: 4 - Quality Education, 9 - Industry, Innovation and Infrastructure
 
A Personalized Task Recommendation System for Vocabulary Learning Based on Context Readability and Task Diversity for University Graduates
Vocabulary learning is widely recognized as the fundamental aspect of language acquisition for second language learners. However, university graduates, a significant group of language learners in Hong Kong, face two key challenges in acquiring new words. Firstly, due to the cognitive demands involved, university graduates are less likely to study and practice the usage of new words. Secondly, the limited support for self-paced vocabulary learning makes it difficult for them to sustain motivation and persistence in their learning efforts. To address these challenges and assist university graduates in enhancing vocabulary acquisition, a personalized vocabulary learning system will be proposed in this project. This system aims to provide customized learning opportunities based on the involvement load hypothesis, which estimates the cognitive and motivational workloads of various learning tasks. Two personalized learning strategies will be employed: task diversity and context readability. A comparison will be made between participants who utilize the system and those who do not, in terms of vocabulary retention and knowledge.
Project Start Year: 2022, Principal Investigator(s): CHENG, Kwok Shing
SDGs Information: 4 - Quality Education, 9 - Industry, Innovation and Infrastructure, 10 - Reduced Inequality
 
Establishing a Research Cluster for Promoting Artificial Intelligence in Technology-Enhanced Language Learning (AI-TELL) Research
This project aims to propose and establish a research cluster to promote artificial intelligence in technology-enhanced language learning (hereafter, AI-TELL) research in Hong Kong. The ultimate goal of the proposed AI-TELL research cluster is to identify and bridge the gap between AI techniques and TELL towards developing pedagogical innovations to enhance language learning.
Project Start Year: 2020, Principal Investigator(s): CHENG, Kwok Shing
SDGs Information: 4 - Quality Education, 9 - Industry, Innovation and Infrastructure, 10 - Reduced Inequality, 17 - Partnerships for the Goals
 
Facilitating Theme-based Vocabulary Learning by Neural Topic Modeling based on Completely Random Measures
In this interdisciplinary project, we will exploit the topics identified by our proposed neural topic models (NTMs) for theme-based vocabulary learning. The topics and relevant documents identified through NTMs will assist teachers to easily organize and produce appropriate learning materials for vocabulary learners. Drawing on the proposed models, a vocabulary learning framework will be developed to support students in learning theme-based vocabulary.
Project Start Year: 2020, Principal Investigator(s): CHENG, Kwok Shing
SDGs Information: 4 - Quality Education, 9 - Industry, Innovation and Infrastructure
 
Online Self-learning Programme on Statistical/Data Science
This project aims to provide an online self-learning programme with modules that are tailor made to meet the diverse needs of different students/projects taking into account that previous trainings in statistics may be very minimal. The modules will serve as a quick entry guide on a specific statistical skill set for students/research assistants of this faculty and the university at large.
Project Start Year: 2020, Principal Investigator(s): CHENG, Kwok Shing
SDGs Information: 4 - Quality Education, 10 - Reduced Inequality
 
Using AI Chatbot as Intelligent Tutor to provide Personalized Feedback and Enhance Learning Support
To provide an adaptive learning environment, we proposed to use Artificial Intelligence (AI) chatbot to provide personalized feedback to students to meet their diverse needs. One-on-one individualized tutoring can help to provide specific study tips to enhance students’ learning performance and experience if timely feedback can be received, but it is difficult to be employed in large class size or intensive courses. Using chatbots to create intelligent tutors is a potential solution. Students can ask questions and obtain immediate feedback without time and geographical limitations.In this project, the AI chatbot system will be integrated into an online evidence-based assessment system called GMoodle (from a completed TDG project in 2018-19) to provide timely fact-based feedback, retrieve real-time learning progress and provide personalized advice for students. On the other hand, teachers can also use it to build their knowledge database to improve teaching productivity, reduce repetitive tasks and identify common learning problems. To study the effect of using AI chatbots as intelligent tutors on the learning and teaching experiences of students and teachers in higher education, experiments will be conducted in four different undergraduate courses in the Department of MIT and C&I in EdUHK and the Department of Computing in PolyU.
Project Start Year: 2020, Principal Investigator(s): LAM, Wai Man, Winnie (CHENG, Kwok Shing as Co-Investigator)
SDGs Information: 4 - Quality Education, 9 - Industry, Innovation and Infrastructure, 17 - Partnerships for the Goals
 
Promoting AI Literacy and Effective Use of AI in Education
The objectives of this project are twofold: firstly to prepare students with AI literacy and secondly to explore and develop AI tools for teaching and learning in a range of academic disciplines. The project will offer a good opportunity not only to develop the AI literacy of students, but also to promote effective use of AI in education as well as to prepare students to adopt AI-powered technology in their future teaching careers.
Project Start Year: 2020, Principal Investigator(s): LI, Wai Keung (CHENG, Kwok Shing as Co-Principal Investigator)
SDGs Information: 4 - Quality Education, 9 - Industry, Innovation and Infrastructure, 10 - Reduced Inequality, 17 - Partnerships for the Goals
 
Facilitating Artificial Intelligence and Big Data Analytics Research in Education
This project aims to develop AI in education and big data analytics in education as the departmental strategic areas. It is also planned to facilitate the development of the two areas through various related research activities, which include organizing research seminars, undertaking collaborative research, and inviting world-leading scholars for discussion and consultation
Project Start Year: 2020, Principal Investigator(s): CHENG, Kwok Shing
SDGs Information: 4 - Quality Education, 9 - Industry, Innovation and Infrastructure, 17 - Partnerships for the Goals
 
Teachers’ Concerns about STEM Education: A Territory-wide Evaluation
This project draws upon a large-scale regionally representative sample of primary and secondary school teachers in Hong Kong and surveys their key concerns about STEM education. Findings of the study will make significant and original impact to policy makers, teachers, and researchers alike. Policy makers will be provided with an empirical understanding of teachers’ concerns about STEM education, allowing them to formulate evidence-based policy to institute educational change.
Project Start Year: 2020, Principal Investigator(s): LAU, Wilfred Wing Fat [CUHK] (CHENG, Kwok Shing 鄭國城 as Co-Investigator)

 
Infuse STEM/STEAM Elements into Mathematics and Information Technology Courses
This project aims to infuse STEM/STEAM elements into our subject-based courses in Mathematics and Information Technology courses. For each learning area of the subject-based courses, a relevant exemplar will be established to integrate STEM/STEAM elements into the teaching and learning of the subject. Instructional materials for each exemplar will be designed and implemented by a team of developers in consultation with the project’s supervisors. The materials will be freely available online to the teaching staff. Students can truly integrate the rich and supportive STEM/STEAM elements in their projects.
Project Start Year: 2019, Principal Investigator(s): SO, Wing Wah, Simon, YUEN, Man Wai (CHENG, Kwok Shing as Co-Investigator)

 
Cross-domain Beauty Item Retrieval via Unsupervised Embedding Learning
..
Project Start Year: 2019, Principal Investigator(s): CHENG, Kwok Shing, XIE, Haoran
SDGs Information: 9 - Industry, Innovation and Infrastructure
 
Emotion Detection for Discussion Logs in Collaborative Learning with Hybrid Neural Networks
To address the above problem, this project aims to develop a deep neural network, one of the recent techniques in artificial intelligence, to detect emotional signals form discussion logs of the collaborative learning process automatically.
Project Start Year: 2019, Principal Investigator(s): POON, Kin Man (CHENG, Kwok Shing as Co-Investigator)
SDGs Information: 4 - Quality Education, 9 - Industry, Innovation and Infrastructure, 17 - Partnerships for the Goals
 
Enhancing Students’ Mathematics Learning through Instructional STEM Activities with Mathematical Modeling
..
Project Start Year: 2019, Principal Investigator(s): LING, Man Ho Alpha 凌萬豪 (CHENG, Kwok Shing 鄭國城 as Co-Investigator)

 
Integrating Artificial Intelligence Techniques in Education
..
Project Start Year: 2019, Principal Investigator(s): CHENG, Kwok Shing, XIE, Haoran
SDGs Information: 4 - Quality Education, 9 - Industry, Innovation and Infrastructure, 17 - Partnerships for the Goals
 
Supervised Humor Detection Models with GAN-based Data Argumentation Framework for Affective Vocabulary Learning Systems
..
Project Start Year: 2019, Principal Investigator(s): XIE, Haoran, CHENG, Kwok Shing
SDGs Information: 4 - Quality Education, 9 - Industry, Innovation and Infrastructure, 17 - Partnerships for the Goals
 
Tracking Students’ Use of Self-Regulated Learning Strategies for Computer Programming in Teacher Education
This project aims to draw on the concept of self-regulated learning (SRL) to engage student teachers in goal setting, progress monitoring and strategic management through electronic portfolio (ePortfolio). Students’ use of SRL strategies to attain specific learning goals will be identified from a multitude of data sources, including their written reflective entries on the e-Portfolio platform, their eye-tracking and think-aloud data recorded in a computer lab, as well as their verbal feedback collected from semi-structured interviews. The project will investigate differences in the use of SRL strategies between high- and low-performing students and explore the relationship between students’ use of SRL strategies and their computer programming achievement. The findings of this project would contribute to: (1) better understanding of the significance of SRL strategies in developing students’ computer programming ability, and (2) further development of appropriate pedagogical strategies and adaptive learning tools for computer programming education.
Project Start Year: 2019, Principal Investigator(s): CHENG, Kwok Shing
SDGs Information: 4 - Quality Education, 9 - Industry, Innovation and Infrastructure
 
A Study of Online Evidence-based Assessment System to Promote Collaborative and Cooperative Learning in Group Activities
Many courses involve group projects and/or activities to let students to collaborate and work together to solve problems. However, it is not easy to ensure all students are actively contributed and collaborate with each other to complete the project. As teachers usually collect the final outcome and mark it as a whole, it is difficult to assess the group project fairly within a group if the workload is unevenly distributed. In this project, we proposed to use “An Online Evidence-based Assessment System” as a centralized platform for students to carry out group activities such as discussion, initiating activities, sharing resources, providing feedback and solution, etc. The proposed system will keep track of the progress of individuals within a group, and the best member and best group will be selected every week and showed on their main page as a compliment. Detailed reports will be generated for both students and teachers. Students will receive a regular report to show their current progress, such as the number of posts, replies, completed tasks, interaction degree with other members, etc., to promote active engagement and collaborative learning. Whereas teachers will receive activity log of all students in the class, which could be used to set assessment criteria and identify free-riders. We have invited six teachers to deliver group projects and/or activities with our pilot platform. To study the effect of this online evidence-based assessment approach on students and teachers in higher education, quantitative data will be analyzed by data mining modeling techniques to discover interesting learning patterns.
Project Start Year: 2018, Principal Investigator(s): LAM, Wai Man, Winnie (CHENG, Kwok Shing as Co-Investigator)
SDGs Information: 4 - Quality Education, 9 - Industry, Innovation and Infrastructure, 10 - Reduced Inequality, 17 - Partnerships for the Goals
 
Towards Automatic Tracking of Student Responses to Teacher Feedback in Draft Revision
This project aims to design and implement an automated system for identifying types of student revision and teacher feedback in L2 writing. In addition, it is designed to detect the associations between student revision and teacher feedback. The impact of the system on the teaching and learning process of L2 writing will also be investigated. The project opens up opportunities for students to be promptly informed about the links of their revisions with teacher feedback, generating a new layer of feedback to help students to review their revision strategies. It can also provide evidence for teachers to evaluate the effectiveness of their feedback types on students' revisions.
Project Start Year: 2017, Principal Investigator(s): CHENG, Kwok Shing
SDGs Information: 4 - Quality Education, 9 - Industry, Innovation and Infrastructure, 17 - Partnerships for the Goals
 
Setting up a Coding Education Centre/Unit at EdUHK/HKIEd
This project aims to set up the Coding Education Unit for EdUHK/HKIEd. The Unit is operated under the Centre for Learning, Teaching and Technology (LTTC). Its goal is to nurture youth’s competence, character, confidence, connection and caring for a healthy and productive life through coding education. The Unit organizes courses and activities for students in EdUHK/HKIEd and local schools to learn coding skills, App development, design and production of artifacts with 3D printing. Through learning the programming language such as Java and Swift, it provides opportunities to enhance students’ skill building, personal recognition, community involvement, and positive connections with adults. Those are important elements to lead to positivity in youth development, which are the process of developing teenagers to be well prepared and productive for challenges in everyday life.
Project Start Year: 2015, Principal Investigator(s): KONG, Siu Cheung 江紹祥 (CHENG, Kwok Shing 鄭國城 as Co-Investigator)

 
Design and analysis of Bring Your Own Device (BYOD) pedagogies in promoting student learning in higher education
The project is funded by eLearning and Blended Learning Development Grant (PolyUHK). It aims to design and implement the BYOD pedagogies at the levels of resources, communication and self-reflection for selected courses offered by the ELC of PolyUHK and the HKIEd in the academic years 2014/15 and 2015/16. In each BYOD class, students will have opportunities to explore and learn with various e-resources on a particular topic assigned by the subject teacher. They will also have opportunities to interact with peers and the subject teacher on their own devices to share views towards different aspects of the topic. The views recorded on the devices can further be used as artefacts to stimulate individual reflection and writing in and out of class. The pedagogical model supported by BYOD is expected to engage students in the learning process and help promote deep learning, independently or scaffolded by the teacher or peers.
Project Start Year: 2014, Principal Investigator(s): CHAU, Juliana (CHENG, Kwok Shing as Co-Principal Investigator)
SDGs Information: 4 - Quality Education, 9 - Industry, Innovation and Infrastructure, 17 - Partnerships for the Goals
 
Automatic Classification Techniques In Virtual Environments - The ACTIVE Project: Generating Immediate Feedback to Support Reflective Learning within ePortfolio Contexts
This project aims to support students to reflect on their English language (L2) experience in ePortfolio by making the best use of the affordances of the automatic classification technology. To guide students towards critical reflection, the project will develop an automatic software tool to evaluate levels of student reflection and subsequently generate immediate, adaptive and individualized feedback based on the evaluation results. The project will also investigate the impact of the automatic tool on students' reflective ability. It is expected that by integrating the automatic classification techniques with ePortfolio, the project will create more innovative and interactive learning experiences in reflective practice for students.
Project Start Year: 2014, Principal Investigator(s): CHENG, Kwok Shing
SDGs Information: 4 - Quality Education, 9 - Industry, Innovation and Infrastructure, 17 - Partnerships for the Goals
 
Bring Your Own Device (BYOD) for Reflective Engagement of Learners in Digital Classroom
The project aims to enhance the competency of HKIEd academic/teaching staff in promoting learners’ reflective engagement in line with HKIEd e-learning strategies. The project has the objectives to enhance the reflective engagement of learners in course learning in HKIEd; to enhance the reflective engagement of lecturers in course teaching in HKIEd; to enhance the sustainability of e-learning implementation in course learning and teaching in HKIEd; and to enhance the scalability of e-learning implementation in course learning and teaching in HKIEd.
Project Start Year: 2013, Principal Investigator(s): KONG, Siu Cheung 江紹祥, CHUNG, Wai Yee Joanne 鍾慧儀, SONG, Yanjie 宋燕捷 (CHENG, Kwok Shing 鄭國城 as Co-Investigator)

 
Exploring the relationship between students' learning styles and satisfaction with Moodle: A pilot study
This project aims to explore the relationship between students’ learning styles and their satisfaction with Learning Management System (LMS). In view of the HKIEd’s own experiences of adopting a new LMS namely Moodle for supporting student learning at institutional level (http://moodle.ied.edu.hk) and the findings obtained from previous studies suggesting that student use and acceptance of LMS varied rather widely in different contexts, consideration of students’ cognitive and affective preference becomes critical in the successful LMS implementation. Therefore, the purpose of this project is threefold: 1) to identify the Moodle features that are most/least frequently used by students with different learning styles; 2) to examine the relationship between students’ learning styles and their satisfaction with Moodle; and 3) to collect and analyze students’ views on the benefits and limitations of using Moodle for their learning. The significance of this project lies not only in its potential in identifying students having difficulties with LMS and thereby providing early assistance to them based on their learning styles, but also in its contribution to soliciting student views on the LMS implementation for their learning so that informed decision on the instructional design with LMS can be made.
Project Start Year: 2012, Principal Investigator(s): CHENG, Kwok Shing
SDGs Information: 4 - Quality Education
 
Provision of Services for Need Analysis of an Online Depository of Curriculum-based Learning and Teaching Resources for various KLA at Key Stage 3
The Education Bureau has commissioned the Hong Kong Institute of Education to conduct a study of need analysis of an online depository of curriculum-based learning and teaching resources for various Key Learning Areas (KLAs) at Key Stage 3. For the collection of solid information to inform the development of the captioned online depository, research activities including documentary analysis, focus group discussions and online questionnaire survey are going to be conducted to study the use of e-resources for teaching the six KLAs in secondary schools in Hong Kong.
Project Start Year: 2009, Principal Investigator(s): KONG, Siu Cheung 江紹祥, LI, Kai Ming 李啟明 (CHENG, Kwok Shing 鄭國城 as Co-Investigator)

 
Formative Evaluation of Using Mobile Device in Learning and Teaching for the QEF Project (Boundless School, Mobile Learning Project)
This project aims to evaluate the effectiveness of the use of mobile technology on school education. Eleven pilot schools will be invited to embed the designed mobile learning strategies in the learning and teaching of two selected subject units within the research period. Pre-test—Post-test instruments will be developed for evaluating the effect of the designed strategies on student achievement. Classroom observation will also be conducted to investigate student reaction to the designed strategies. Additionally, interviews will be organized for the individual teachers and selected students who participate in this study to look into their perception of the designed strategies.
Project Start Year: 2009, Principal Investigator(s): KONG Siu Cheung (CHENG Kwok Shing as Co-Investigator)

 
Prizes and awards

Excellent Paper Award
The 6th International Conference on Technology in Education 2023 (ICTE 2023) was attended by, and received contributions from, academics, professional experts and practitioners in virtually all aspects of education. This broadly covered curriculum planning, content development and delivery, communication among learners, instructors and institution, assessment and programme evaluation. In recognition of the outstanding contributions, the Programme Committee established “Excellent Paper Awards".
Date of receipt: 21/12/2023, Conferred by: The 6th International Conference on Technology in Education 2023 (ICTE 2023)
 
Best Paper Presentation Award
The 1st APSCE International Conference on Future Language Learning 2022 (ICFULL2022) aimed to involve scholars, practitioners and researchers to share and exchange their research findings in exploring the potential that cutting-edge technologies could provide for language pedagogical practices in an attempt to shed light on future language learning. Best paper presentations were selected in recognition of their contributions to this research field.
Date of receipt: 3/7/2022, Conferred by: The 1st APSCE International Conference on Future Language Learning 2022
 
Special Inventor Award
In iCAN 2019, EdUHK showcased four edtech innovations and the GMoodle system for assessment automation has been awarded with two prizes: silver medal and special award. The GMoodle system is developed for assessment of collaborative learning. The whole process of collaboration is recorded by the system to provide an objective measure and fair evaluation to reflect the actual contribution of each student in a group project.
Date of receipt: 24/8/2019, Conferred by: The International Invention Innovation Competition in Canada (iCAN) 2019
 
Silver Medal
In iCAN 2019, EdUHK showcased four edtech innovations and the GMoodle system for assessment automation has been awarded with two prizes: silver medal and special award. The GMoodle system is developed for assessment of collaborative learning. The whole process of collaboration is recorded by the system to provide an objective measure and fair evaluation to reflect the actual contribution of each student in a group project.
Date of receipt: 24/8/2019, Conferred by: The International Invention Innovation Competition in Canada (iCAN) 2019
 
Silver Medal
The medal was awarded for the invention of an automated system for tracking student responses to teacher feedback in draft revision. The automated system was designed to classify the types of teacher feedback and student revision in English as Foreign Language (EFL) writing, as well as to detect their connections. Teachers can use the system to identify those students with revision problems and in need of early assistance. Additionally, students can use the system to generate immediate and individualized analysis on how well they respond to teacher feedback for personal reflection.
Date of receipt: /6/2019, Conferred by: Silicon Valley International Invention Festival (SVIIF)
 
Best Extended Abstract
The 10th London International Conference on Education (LICE-2018) promoted collaborative excellence between academicians and professionals from education. The aim of LICE-2018 was to provide an opportunity for academicians and professionals from various educational fields with cross-disciplinary interests to bridge the knowledge gap, promote research esteem and the evolution of pedagogy. The "Best Extended Abstract" award was presented to the outstanding abstract that exemplified innovative research.
Date of receipt: 13/12/2018, Conferred by: London International Conference on Education (LICE-2018)
 
Excellent Presentation Award
The 7th International Conference on Education, Research and Innovation (ICERI 2017) was an international forum for the presentation of new advances and research results in the fields of theoretical, experimental, and applied Education, Research and Innovation. The conference brought together leading researchers, engineers and scientists in the domain of interest from around the world. The "Excellent Presentation Award" was presented to the best paper presentation in each parallel session.
Date of receipt: 7/8/2017, Conferred by: The 7th International Conference on Education, Research and Innovation 2017 (ICERI 2017)