πGEM 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 π
Hello! If youβre interested in joining our team, please fill out the EOI form [Link]
Image from Here
Doctoral Researchers
Serve as main supervisor
Email: zhangyujing@connect.hku.hk
(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: zhihang330@connect.hku.hk
(2025 Sept - )
Field of Study: Artificial Intelligence in Education; Educational Data Mining; Learning Analytics; Machine Learning for Education; Natural Language Processing;Β
M.Sc., Data Science for Sustainability
B.E., Software Engineering
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
Research Assistants
Yuyang GUO
(2025 Oct - )
HKU (MEng)
Ryan Ngigi KIMANI
(2025 Oct - )
HKU (BEng)
Qianhui (Chloe) Zhao
(2024 Sept - )
CMU (METALS)
Zilyu JiΒ
(2024 May - )
CMU (CS)
Glen Xu
(2024 May -)
CMU (LTI)
πThe 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). πPresenter: Jiarui Rao. Slide Link: Click Here
[2] Tutorial on Prompt Engineering (June/5/2024). πPresenter: Jack Shen. Slide Link: Click Here
[3] Tutorial on Generative AI and Course Design (June/12/2024). πPresenter: Sandy Zhao. Slide Link: Click_Here
[4] Tutorial on Data Augmentation in Education (June/19/2024). πPresenter: Glenn Xu. Slide Link: Click_Here
[5] Tutorial on Understanding Tutoring Process (June/26/2024). πPresenter: Jahnvi Shah. Slide Link: Click_Here
[6] Tutorial on Data Privacy in Educational Data Mining (July/3/2024). πPresenter: Owen Lalis. Slide Link: Click_Here
[7] Tutorial on Mitigating Algorithmic Bias in Educational Data Mining (July/24/2024). πPresenter: Wenyuan Shen & Jingyang Peng. Slide Link: Click_Here
[8] Tutorial on Intro to Front End Development in Education (July/31/2024). πPresenter: Megan Gu. Slide Link: Click_Here
[9] Tutorial on Analyzing Tutoring Dialogue Transcripts Project Updates (Aug/7/2024). πPresenter: Nikhil Patel. Slide Link: Click_Here
[10] Tutorial on Assessing LLMs' Reading Comprehension Question Generation (Aug/14/2024). πPresenter: Yoshee Jain. Slide Link: Click_Here
[11] Tutorial on Retrieval Augmented Generation in Chemistry (Aug/21/2024). πPresenter: Zilyu Ji. Slide Link: Click_Here
Previous Members
Shan (Mary) Tang - Information Technology in Education. (Graduate), HKU - 2025 Β (Research Associate)
Jiarui Rao - Infomation System. (Graduate), CMU - 2024 - 2025 (Research Associate)
Jingyang (Eric) Peng - Sci. in Math and Stat. (Undergraduate), CMU - 2024 -2025 Β (Research Associate)
Wenyuan Shen - Sci. in Math and Stat. (Undergraduate), CMU - 2024 -2025 Β (Research Associate)
Jenny Ou - Mathematics, Operations Research and Statistics (Undergraduate), CMU - 2024 -2025 Β (Research Associate)
Yuting Wangβ Info Sys (Undergraduate), CMU β 2024 - 2025 (Research Associate)
Megan Guβ Computer Science (Undergraduate), CMU β 2024 - 2025 (Research Associate)
Yoshee JainβSiebel School of Computing and Data Science (Undergraduate), UIUC β 2024 (Summer Research Intern)
Nikhil Patelβ Computer Science (Master Student), CMU β 2024 (Summer Research Intern)
Jahnvi Shah β Electrical and Computer Engineering (Undergraduate), CMU β 2024 (Summer Research Intern)
Claire Liu β Science in Statistics and Machine Learning (Undergraduate), CMU β 2024 (Summer Research Intern)
Amber He β Computer Science (Undergraduate), CMU β 2024 (Summer Research Intern)
Sunny (Jiahui) Tang β Information System and Artificial Intelligence (Undergraduate), CMU β 2024 (Summer Research Intern)
Owen Lalis β Science in Math and Computer Science (Undergraduate), CMU β 2024 (Summer Research Intern)
Andra Liu β Science in Statistics and Machine Learning (Undergraduate), CMU β 2024 (Summer Research Intern)
Cathleen Chen β Computer Science (Undergraduate), CMU β 2024 (Summer Research Intern)
Vismitha Narayanaswamy β Engineering & Technology Innovation Management (Graduate), CMU β 2024 (Summer Research Intern)
Hugo Content β Computer Science (Undergraduate), CMU β 2023 (Summer Research Intern)
Liang ZhangΒ β Computer Engineering, Institute for Intelligent Systems (PhD student), University of Memphis β 2023 (Summer Research Intern)
Zifei (FeiFei) Han β Computer Science (Graduate), University of Toronto β 2023Β - 2024 (Research Associate)
