Dr SO, Chi Fuk Henry
蘇賜福 博士
Senior Lecturer I
Department of Mathematics and Information Technology
Contact
ORCiD
0000-0003-1628-1137
Phone
(852) 2948 8416
Email
hcfso@eduhk.hk
Address
10 Lo Ping Road, Tai Po, New Territories, Hong Kong
Website
https://pappl.eduhk.hk/rich/web/person.xhtml?pid=108432&name=SO, Chi Fuk Henry
Scopus ID
7102919941
Research Interests
  • IT in education
  • STEM education
  • Computer applications in health care
  • Digital health and health informatics
  • Simulation-based learning
  • Mobile learning
  • Signal processing
  • Adaptive filtering
  • Deep learning
  • Data analytics
External Appointments

2018 - 2024 Adjunct Assistant Professor, Hong Kong Nang Yan College of Higher Education

2015 - 2017 Adjunct Assistant Professor, Department of Health and Physical Education, The Education University of Hong Kong

Personal Profile

Dr. Henry So is an Associate Director at the Centre for Learning, Teaching and Technology (LTTC) and a Senior Lecturer at the Department of Mathematics and Information Technology at The Education University of Hong Kong (EdUHK). With over 10 years of project management experience, he is a Chartered Engineer (CEng), a member of the IET, and a corporate member of HKIE. He is recognized for his innovative teaching methods, prioritizing experiential learning and student feedback. Dr. So's research interests span a wide range of areas, including AI Education, IT in education, STEM education, simulation-based learning, mobile learning, mobile apps development, digital health, health informatics, adaptive filtering, digital signal processing, machine learning, and data analytics.

Research Interests
  • IT in education
  • STEM education
  • Computer applications in health care
  • Digital health and health informatics
  • Simulation-based learning
  • Mobile learning
  • Signal processing
  • Adaptive filtering
  • Deep learning
  • Data analytics
External Appointments

2018 - 2024 Adjunct Assistant Professor, Hong Kong Nang Yan College of Higher Education

2015 - 2017 Adjunct Assistant Professor, Department of Health and Physical Education, The Education University of Hong Kong

Research Outputs
Journal Publications
Publication in refereed journal
Relmasira, S. C., Lai, Y. C., & So, C. F. H. (2021). Future jobs: Indonesian Primary Students’ Aspirations and Teachers’ predictions. The European Educational Researcher, 4(2), 209-225.
Chung, J.W.Y., So, C.F., Choi, M.M.T., Yan, V.C.M., & Wong, T.K.S. (2021). Artificial Intelligence in education: Using heart rate variability (HRV) as a biomarker to assess emotions objectively. Computers and Education: Artificial Intelligence, 2, 100011.
So, C.F. & Chung, J.W.Y. (2020). Exploring the Barriers to Resistance Exercise among Hong Kong Women. Journal of Physical Activity Research, 5(2), 85-90.
So, C. F., Choi, K. S., Wong, T. K. S., & Chung, J. W. Y. (2019). Deep Learning Analysis for Blood Glucose Monitoring Using Near Infrared Spectroscopy. Journal of Scientific & Technical Research, 21(3), 15865-15871.
Chung, J. W. Y., So, H. C. F., Yan, V. C. M., Kwok, P. S. T., Wong, B. Y. M., Yang, J. Y., and, Chan, A. P. C. (2019). A survey of work-related pain prevalence among construction workers in Hong Kong. International Journal of Environmental Research and Public Health, 16, 8-..
Chung, J.W.Y., Wong, B.Y.M., Yan, C.M., Chung, L.M.Y., So, H.C.F., Chan, A (2018). Cardiovascular health of construction workers in Hong Kong: A cross-sectional study.. International Journal of Environmental Research and Public Health, 15, 1251-1270.
So, C. F., & Chung, J. W. Y. (2018). Telehealth for diabetes self-management in primary health care – a systematic review and meta-analysis. Journal of Telemedicine and Telecare, 24(5), 356-364.
Or, P.P.L, So, H.C.F., Leung, C.L.C. & Chung, J.W.Y. (2017). Patient simulator to drive diagnostic thinking process and deep learning. Journal of Health Sciences and Nursing, 2(7), 45-58.
Law, Q.P.S., So, H.C.F., & Chung, J.W.Y. (2017). Effect of collaborative learning on enhancement of students’ self-efficacy, social skills and knowledge towards mobile apps development.. American Journal of Educational Research, 5(1), 25-29.
Mok, H. T., So, C. F., & Chung, J. W. Y. (2016). Effectiveness of high-fidelity patient simulation in teaching clinical reasoning skills. Clinical Simulation in Nursing, 12(10), 453-467.
So, C.F. & Leung, S.H. (2015). Maximum likelihood whitening pre-filtered total least squares for resolving closely spaced signals. Circuits, Systems, and Signal Processing, 34, 2739-2747. https://doi.org/10.1007/s00034-015-9983-x

Conference Papers
Refereed conference paper
Relmasira, S.C., Lai, Y.C., & So, C.F. (2021, December). AI Literacy: A Systematic Review of AI Teaching and Learning Practice for Children. Paper presented at the International Conference on Learning and Teaching 2021, Hong Kong. https://eduhk.hk/iclt2021/index.html
Relmasira, S. C, Lai, Y. C., & So, C. F. H. (2020, November). Understanding Students’ Artificial Intelligence Literacy and Career Aspirations: Students, Teachers, and Experts Views in Indonesian Context. Paper presented at the International Conference on Education and Artificial Intelligence 2020 (ICEAI 2020), Hong Kong SAR, China.
So, C.F., Lam, Y.S., Kwok, W.C.D., Mok, S.N.D., & Chung, J.W.Y. (2020, November). Deep Heart Rate Variability Analysis for VR-Learning. Paper presented at the International Conference on Education and Artificial Intelligence 2020, Hong Kong.
Relmasira, S. C, Lai, Y. C., & So, C. F. H. (2019, December). Examining Artificial Intelligence Literacy of Primary School Students in Indonesia. Paper presented at the International Conference on Advances in STEM Education 2019, Hong Kong SAR, China.

Projects
Developing an AI Chinese Composition Assessment System for Hong Kong Students
Writing literacy, a core ability demonstrating an individual's expression and communication skills is essential for students' lifelong development and future societal adaptability. The scientific assessment of writing literacy is becoming a prominent research topic. With the maturing of natural language processing technology, AI-based automated essay evaluation has become a frontier direction in current writing literacy assessment research. The ECNU developed an intelligent Chinese composition assessment system (小花獅作文智慧輔導系統) for mainland China's primary and secondary schools. This project revolves around a series of studies on the competent assessment of writing literacy of primary and secondary school students in the Hong Kong region. The research content includes defining literacy, automatic evaluation, and development suggestions. It aims to assess writing literacy and provide development suggestions through automated analysis of Hong Kong primary and secondary school students' essay texts.

Project Start Year: 2024, Principal Investigator(s): SO, Chi Fuk, Henry

 

Promoting Students’ Authentic Learning Experience through Programmable Robots to Support Innovative Teaching and Learning on Artificial Intelligence Literacy
The project will establish partnership and collaboration with robotics company in the Europe to apply latest technologies, such as programmable robots, in designing and delivering workshops on artificial intelligence (AI) literacy allowing EdUHK students to acquire more relevant skills by understanding the fundamental AI concepts and adoption in their teaching practice and workplace. The proposed project aims to:

- Develop students’ digital competency by providing authentic learning experience in robotic education through workshops and teaching practices;
- Enhance students’ employability and boost their confidence by providing teaching practices and reflection opportunities;
- Develop students’ collaborative skills, communication skills and problem-solving skills through the workshops and teaching practices.



Project Start Year: 2023, Principal Investigator(s): SO, Chi Fuk, Henry

 

Empowering artificial intelligence assessment of skills proficiency test for pre-service teachers in physical education
Although the influence of formative assessment has been widely examined and documented (Bennett, 2011; Black & Wiliam, 2009), the implementation of skill-based assessment by including formative assessment elements is understudied (e.g., Smee, 2003). Skill-specific assessment rubrics provide unique essential dimensions and performance indicators to teachers and students for motor skill assessment and development guidelines, like the hurdle clearance technique observational tool. Traditionally, those skill-specific assessment rubrics are presented in written or pictorial format. It is not easy for every pre-service teacher to understand the criteria by words or pictures.

Current technology allows pre-service teachers to visualize different levels of skill performance that facilitate their self-controlled feedback. However, Artificial Intelligence (AI) in formative assessment for Hurdle clearance could not be found in Physical Education (PE) or sports coaching industry. There is a compelling need to develop low-cost, reliable and valid measures that are suitable for improving students’ self-directed learning (see a systematic review by Eddy et al., 2020).

This TDG project aims to develop an AI in formative assessment (Hurdle). The assessment is purposefully designed for supporting the PE pre-service teachers by adopting artificial intelligence technology and innovative assessment method to ensure that the individual’s contribution is recognized and fairly assessed.

Project Start Year: 2023, Principal Investigator(s): WONG, Hoi Wai (SO, Chi Fuk, Henry as Co-Investigator)

 

Artificial Intelligence (AI)-enabled Web-interface Platform for Assessments and Feedback of Microscopy Image Analysis
.

Project Start Year: 2023, Principal Investigator(s): CHONG, Yee Ling (SO, Chi Fuk, Henry as Co-Investigator)

 

Developing Teaching Packages using VEX Robotics
This project aims to develop three sets of teaching and learning packages using the VEX Robotics for control and automation.

Project Start Year: 2020, Principal Investigator(s): SO, Chi Fuk Henry 蘇賜福

 

Development of a VR-learning monitoring kit
The project aims at assessing the emotions of learning status objectively. The proposal attempts to determine the distributions of various HRV parameters for different learning status emotions and ascertain whether emotions could be predicted with high performance in the use of VR-learning based on HRV parameters.

Project Start Year: 2020, Principal Investigator(s): SO, Chi Fuk Henry 蘇賜福

 

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 鄭國城 (SO, Chi Fuk Henry 蘇賜福 as Co-Investigator)

 

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 李偉強 (SO, Chi Fuk Henry 蘇賜福 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 (SO, Chi Fuk, Henry as Co-Investigator)

 

Designing and Developing Artificial Intelligence (AI) Teaching Packages for Junior Secondary Students
This project covers joint efforts to bring up the new generation of AI talent in our society. By designing and developing AI teaching packages for secondary students, we will actively engage in future educational activities by encouraging the young generation to explore AI and improve their literacy level, which includes the positive and ethical use of AI, as well as the limitations and risks.

Project Start Year: 2019, Principal Investigator(s): SO, Chi Fuk Henry 蘇賜福

 

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 潘建文 (SO, Chi Fuk Henry 蘇賜福 as Co-Investigator)

 

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 林惠民 (SO, Chi Fuk Henry 蘇賜福 as Co-Investigator)

 

Health Profiling of Construction Workers in Hong Kong
..

Project Start Year: 2017, Principal Investigator(s): CHUNG, Wai Yee Joanne 鍾慧儀 (SO, Chi Fuk Henry 蘇賜福 as Team Member)

 

Physical Fitness, Health and Nutrition Profile among Chinese Adults with Visual Impairments
We propose a survey to explore the health profile of Chinese adults with visual impairments in terms of physical fitness, health and nutrition conditions.

Project Start Year: 2017, Principal Investigator(s): LAW PUI SZE QUEENIE 羅佩詩 (SO, Chi Fuk Henry 蘇賜福 as Co-Investigator)

 

Prizes and awards
2022 lllC International Innovation & Invention Competition. Silver Medal
To develop digital games to provide real-time instant feedback to user and have different case scenarios for people in different age groups.
Date of receipt: 18/11/2022, Conferred by: IIIC in Taiwan
 
7th International Invention Innovation Competition in Canada Special Award
Develop AI hand hygiene game which simulate hand hygiene practices can be played anytime, anywhere in different age groups and it is culture free.
Date of receipt: /8/2022, Conferred by: iCAN
 
7th International Invention Innovation Competition in Canada Silver Medal
Develop AI hand hygiene game which simulate hand hygiene practices can be played anytime, anywhere in different age groups and it is culture free.
Date of receipt: 31/8/2022, Conferred by: iCAN
 
Bronze Medal
Shopgrouper is an e-commerce product search engine specialised in online shopping. Trained with intelligent machine learning models, the platform automatically gathers and displays product information from different online shops, making online shopping personalised, fast and accurate.
Date of receipt: 28/3/2022, Conferred by: 2022 Special Edition – Inventions Geneva Evaluation Days
 
Gold Medal

Date of receipt: 14/3/2021, Conferred by: 2021 Special Edition – Inventions Geneva Evaluation Days
 
Gold Medal

Date of receipt: 19/11/2020, Conferred by: 11th International Innovation and Invention Competition 2020
 
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
 
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
 
The 47th International Exhibition of Inventions of Geneva

Date of receipt: 14/4/2019, Conferred by: International Exhibition of Inventions of Geneva
 
Career Overview
The Education University of Hong Kong
Associate Director - Centre for Learning, Teaching and Technology
Date :07/2023- Present
The Education University of Hong Kong
Senior Lecturer I
Date :07/2023- Present