đź’ŽGEM Lab
Why GEM Lab?
GEM Lab was established in 2024. The name GEM stands for Get Everyone Moving OR Guiding AI in Education: Methods and Applications. To be honest, I chose the name not only for its meaning, but also because I believe every member of this team is a true GEM đź’Ž
Hello! If you’re interested in joining our team, please fill out the EOI form [Link]
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Doctoral Researchers
Serve as Main Supervisor
Email: TBA
(2025 Sept - )
Field of Study: Learning Analytics; Artificial Intelligence in Education; Dialogic Learning, and Computer-Supported Collaborative Learning (CSCL)
M.Phil., Education (Psychology and Education)
B.Sc., Psychology with Education
Email: u3012309@connect.hku.hk
(2025 Sept - )
Field of Study: Artificial Intelligence in Education; Educational Data Mining; Learning Analytics; Machine Learning for Education; Natural Language Processing;Â
M.Sc., Data Science for Sustainability
B.E., Software Engineering
Email: TBA
(2025 Sept - )
Field of Study: Artificial Intelligence in Education; UX Design; Learning Design; Learning Experience Design; Human Computer Interaction
M.A., Interior and Spatial DesignÂ
B.A., Product Design
Email: TBA
(2025 Sept - )
Field of Study: Artificial Intelligence in Education; Learning Analytics; Intelligent Tutoring Systems; Educational Cybersecurity; Machine Learning for Education
M.Sc., Applied Analytics
B.S., Computer Science
Email: TBA
Your Name Here
Field of Study:Â
Email: TBA
Your Name Here
Field of Study:Â
Serve as Associate Supervisor
Email: nan1004@connect.hku.hk
(2025 Sept - )
Field of Study: Participatory Design; Learning Analytics; Learning Design; Professional Development
Email: u3629658@connect.hku.hk
Jie SHEN
(2025 Feb - )
Field of Study: AI in Education, Learning Design, Learning Analytics
Research Assistants
Qianhui (Chloe) Zhao
(2024 Sept - )
CMU (METALS)
Zilyu JiÂ
(2024 May - )
CMU (CS)
Glen Xu
(2024 May -)
CMU (LTI)
🔊The GEM Show is a weekly seminar where members of the GEM team share their insights on various technologies and methods. This series is an integral part of our initiative, Getting Everyone Moving (GEM), which aims to create a collaborative learning environment that aligns with our team's core values.
[1] Tutorial on Retrieval Augmented Generation (May/29/2024). đź’ŽPresenter: Jiarui Rao. Slide Link: Click Here
[2] Tutorial on Prompt Engineering (June/5/2024). đź’ŽPresenter: Jack Shen. Slide Link: Click Here
[3] Tutorial on Generative AI and Course Design (June/12/2024). đź’ŽPresenter: Sandy Zhao. Slide Link: Click_Here
[4] Tutorial on Data Augmentation in Education (June/19/2024). đź’ŽPresenter: Glenn Xu. Slide Link: Click_Here
[5] Tutorial on Understanding Tutoring Process (June/26/2024). đź’ŽPresenter: Jahnvi Shah. Slide Link: Click_Here
[6] Tutorial on Data Privacy in Educational Data Mining (July/3/2024). đź’ŽPresenter: Owen Lalis. Slide Link: Click_Here
[7] Tutorial on Mitigating Algorithmic Bias in Educational Data Mining (July/24/2024). đź’ŽPresenter: Wenyuan Shen & Jingyang Peng. Slide Link: Click_Here
[8] Tutorial on Intro to Front End Development in Education (July/31/2024). đź’ŽPresenter: Megan Gu. Slide Link: Click_Here
[9] Tutorial on Analyzing Tutoring Dialogue Transcripts Project Updates (Aug/7/2024). đź’ŽPresenter: Nikhil Patel. Slide Link: Click_Here
[10] Tutorial on Assessing LLMs' Reading Comprehension Question Generation (Aug/14/2024). đź’ŽPresenter: Yoshee Jain. Slide Link: Click_Here
[11] Tutorial on Retrieval Augmented Generation in Chemistry (Aug/21/2024). đź’ŽPresenter: Zilyu Ji. Slide Link: Click_Here
Previous Members
Jingyang (Eric) Peng - Sci. in Math and Stat. (Undergraduate), CMU - 2024 -2025 Â (Research Associate)
Wenyuan Shen - Sci. in Math and Stat. (Undergraduate), CMU - 2024 -2025 Â (Research Associate)
Jenny Ou - Mathematics, Operations Research and Statistics (Undergraduate), CMU - 2024 -2025 Â (Research Associate)
Yuting Wang— Info Sys (Undergraduate), CMU — 2024 - 2025 (Research Associate)
Megan Gu— Computer Science (Undergraduate), CMU — 2024 - 2025 (Research Associate)
Yoshee Jain—Siebel School of Computing and Data Science (Undergraduate), UIUC — 2024 (Summer Research Intern)
Nikhil Patel— Computer Science (Master Student), CMU — 2024 (Summer Research Intern)
Jahnvi Shah — Electrical and Computer Engineering (Undergraduate), CMU — 2024 (Summer Research Intern)
Claire Liu — Science in Statistics and Machine Learning (Undergraduate), CMU — 2024 (Summer Research Intern)
Amber He — Computer Science (Undergraduate), CMU — 2024 (Summer Research Intern)
Sunny (Jiahui) Tang — Information System and Artificial Intelligence (Undergraduate), CMU — 2024 (Summer Research Intern)
Owen Lalis — Science in Math and Computer Science (Undergraduate), CMU — 2024 (Summer Research Intern)
Andra Liu — Science in Statistics and Machine Learning (Undergraduate), CMU — 2024 (Summer Research Intern)
Cathleen Chen — Computer Science (Undergraduate), CMU — 2024 (Summer Research Intern)
Vismitha Narayanaswamy — Engineering & Technology Innovation Management (Graduate), CMU — 2024 (Summer Research Intern)
Hugo Content — Computer Science (Undergraduate), CMU — 2023 (Summer Research Intern)
Liang Zhang — Computer Engineering, Institute for Intelligent Systems (PhD student), University of Memphis — 2023 (Summer Research Intern)
Zifei (FeiFei) Han — Computer Science (Graduate), University of Toronto — 2023 - 2024 (Research Associate)
