Dr HUANG, Lingyun
黃凌云 博士
Assistant Professor
Department of Curriculum and Instruction
Contact
ORCiD
0000-0002-7336-7079
Phone
(852) 2948 7525
Fax
(852) 2948 7563
Email
lingyunhuang@eduhk.hk
Address
10 Lo Ping Road, Tai Po, New Territories, Hong Kong
Website
https://pappl.eduhk.hk/rich/web/person.xhtml?pid=300256&name=HUANG, Lingyun
Scopus ID
57195130967
Research Interests
Designs of technology-rich environments
Technology-enabled teacher professional development
Self- and Socially shared regulated learning
Learning emotions
Learning sciences and analytics 
Teachers' digital literacy
Teaching Interests

Technology in teaching and learning

Data literacy and assessment

Research methods

Learning sciences and analytics

Other Activities

Editorial Services

Executive Editor for Knowledge Management and E-Learning: An International Journal (2022-present)


Review Services

Computers and Education

Journal of Intelligence

Education and Information Technologies

BMC Medical Education

 

Conference Program Chair Services

International Society of Learning Science Conference 2023

International Conference on Artificial Intelligence in Education 2023

ICCE Sub-Conference on Computer-supported Collaborative Learning (CSCL) and Learning Sciences 2023

GCCCE C2: Mobile, Ubiquitous & Contextual Learning 2023

The 22nd IEEE International Conference on Advanced Learning Technologies 202


Student Supervision

I am available to supervise EdD (English) students in 24/25 and would welcome inquiries for supervision.

Expected background are educational psychology and educational technology

Personal Profile

Lingyun Huang (Franco) is an Assistant Professor in the Department of Curriculum and Instruction of the Faculty of Education and Human Development at the Education University of Hong Kong. He received his Ph.D. from McGill University (Learning Sciences), M.Ed. from Technical University Munich (Education), and B.A from Jiangxi Normal University (English Education). Before joining the Education University of Hong Kong in 2023, he was a postdoctoral fellow at the University of Hong Kong, holding the RGC Postdoctoral Fellowship Award.


Dr. Huang’s research explores the potential of technology in education, including but not limited to designing intelligent technology-rich learning environments and assessing the effectiveness of such environments on teaching and learning. As a learning scientist, Dr. Huang is interested in adopting artificial intelligence computational techniques to examine learners’ cognition, metacognition, behavioral, and affective patterns hidden in learning trajectories. His research makes implications for improving the designs of environments, making them more intelligent, adaptive, and ergonomic for teachers and learners across disciplines to increase their productivity and performance.


Research Interests
Designs of technology-rich environments
Technology-enabled teacher professional development
Self- and Socially shared regulated learning
Learning emotions
Learning sciences and analytics 
Teachers' digital literacy
Teaching Interests

Technology in teaching and learning

Data literacy and assessment

Research methods

Learning sciences and analytics

Other Activities

Editorial Services

Executive Editor for Knowledge Management and E-Learning: An International Journal (2022-present)


Review Services

Computers and Education

Journal of Intelligence

Education and Information Technologies

BMC Medical Education

 

Conference Program Chair Services

International Society of Learning Science Conference 2023

International Conference on Artificial Intelligence in Education 2023

ICCE Sub-Conference on Computer-supported Collaborative Learning (CSCL) and Learning Sciences 2023

GCCCE C2: Mobile, Ubiquitous & Contextual Learning 2023

The 22nd IEEE International Conference on Advanced Learning Technologies 202


Student Supervision

I am available to supervise EdD (English) students in 24/25 and would welcome inquiries for supervision.

Expected background are educational psychology and educational technology

Research Outputs
Journal Publications
Publication in refereed journal
HUANG Lingyun; LIANG Min; XIONG Yuhan, WU Xiaomeng, LIM Cher Ping (2024). A Systematic Review of Technology-Enabled Teacher Professional Development during COVID -19 Pandemic. Computers and Education, 223, 1-18. https://doi.org/10.1016/j.compedu.2024.105168
Huang, L., Zheng, J., Lajoie, S. P., Chen, Y., Hmelo-Silver, C., & Wang, M. (2024). Examining university teachers’ self-regulation in using a learning analytics dashboard for online collaboration. Education and Information Technologies, 29, 8523-8547. https://doi.org/10.1007/s10639-023-12131-7
HUANG Lingyun; DOLECK Tenzin; CHEN Boyin; HUANG Xiaoshan; TAN Chengyi; LAJOIE Susanne P; WANG Minhong (2023). Multimodal learning analytics for assessing teachers’ self-regulated learning in planning technology-integrated lessons in a computer-based environment. Education and Information Technologies, 28, 15823-15843. https://doi.org/10.1007/s10639-023-11804-7
Liu, Y., Huang, Li., Doleck, T. (2023). How teachers’ self-regulation, emotions, perceptions, and experiences predict their capacities for learning analytics dashboard: A Bayesian approach. Education and Information Technologies, 1- 36. https://doi.org/10.1007/s10639-023-12163-z
Yue, X., Liu, F., Yang, Y., Zheng, X., Huang, L. (2023). Examining the antecedent factors and their influences on English language anxiety via the lens of control-value theory and data mining approaches. Current Psychology, 43, 11050-11061. https://doi-org.ezproxy.eduhk.hk/10.1007/s12144-023-05219-3

Conference Papers
Refereed conference paper
Huang, L., Liang, M., Xiong, Y., & Lim, C. (2024, April). A Systematic Review of Technology-Enabled Teacher Professional Development during COVID -19 Pandemic. American Educational Research Association Annual Meeting, Philadelphia, USA.
Huang, L. (2024, March). Student Teachers’ Self-Regulation in Learning Complex Professional Knowledge: A Sequential and Clustering Analysis with Think-Aloud Protocols. 14th International Conference on Learning Analytics & Knowledge (LAK24), Kyoto, Japan.

Projects
The Role of ChatGPT in Enhancing Academic Performance: Behavioral Patterns and Effective Implementation Strategies
The proposal involves delving into how students interact with AI-powered chatbots, understanding how they perceive and respond to the generated content, and examining the impact on their learning outcomes. By analyzing these behavioral patterns, our research aims to identify the strengths and limitations of ChatGPT as an educational tool and propose effective strategies to maximize its benefits while mitigating potential risks. This includes considerations for ethical use, addressing biases, promoting critical thinking, and fostering meaningful human-AI interactions.

Project Start Year: 2024, Principal Investigator(s): HUANG, Lingyun

 

SPROTI, an Online Learning Environments Informed by Regulation of Learning Theory for Teacher Technology Education
The project proposes to develop an online environment to support preservice and in-service teachers' technology integration development.

Project Start Year: 2024, Principal Investigator(s): HUANG, Lingyun