Publications

  • Yukyeong Song, Wanli Xing, Chenglu Li, Xiaoyi Tian & Yingbo Ma (2024). Investigating the Relationship between Math Literacy and Linguistic Synchrony in Mathematical Discussions through Large Scale Data Analytics. Wiley. Accepted, 02/10/2024.
  • Chenglu Li, Wangda Zhu, Wanli Xing & Rui Guo (2023). Analyzing Student Attention and Acceptance of Conversational AI for Math Learning: Insights from a Randomized Controlled Trial . ACM. Accepted, 11/29/2023.
  • Hai Li, Chenglu Li, Wanli Xing, Sami Baral & Neil Heffernan (2023). Automated Feedback for Student Math Responses Based on Multi-Modality and Fine-Tuning . ACM. Accepted, 11/29/2023.
  • Yukyeong Song, Chenglu Li, Wanli Xing, Shan Li & Hakeoung Hannah Lee (2023). A Fair Clustering Approach to Self-Regulated Learning Behaviors in a Virtual Learning Environment . ACM. Accepted, 11/29/2023.
  • Zilong Pan, Chenglu Li, Wenting Zou & Min Liu (2023). Applying Learning Analytics Approaches to Detect and Track Students' Cognitive States During Virtual Problem-Solving Activities. IGI Global. Published, 10/30/2023.
    https://doi.org/10.4018/978-1-6684-9527-8.ch002
  • Zachary Levonian, Chenglu Li, Wangda Zhu, Anoushka Gade, Owen Henkel, Millie-Ellen Postle & Wanli Xing (2023). Retrieval-augmented generation to improve math question-answering: Trade-offs between groundedness and human preference. NeurIPS. Published, 10/24/2023.
    https://gaied.org/neurips2023/files/40/40_paper.pd...
  • Yukyeong Song, Wanli Xing, Alec Barron, Hyunju Oh, Chenglu Li & Victor Minces (2023). M-flow: a Flow-based Music Creation Platform Improves Underrepresented Children’s Attitudes toward Computer Programming. ACM. Published, 06/19/2023.
    https://doi.org/10.1145/3585088.3589383
  • Wanli Xing & Chenglu Li (2023). Fair Artificial Intelligence to Support STEM Education: A Hitchhiker’s Guide.. Oxford University Press. Accepted, 06/01/2023.
  • Fan Zhang, Wanli Xing & Chenglu Li (2023). Predicting Students’ Algebra I Performance using Reinforcement Learning with Multi-Group Fairness. ACM. Published, 03/13/2023.
    https://doi.org/10.1145/3576050.3576104
  • Yukyeong Song, Wanli Xing, Xiaoyi Tian & Chenglu Li (2023). Are We on the Same Page? Modeling Lin- guistic Synchrony and Math Literacy in Mathematical Discussions. ACM. Published, 03/13/2023.
    https://doi.org/10.1145/3576050.3576082
  • Wanli Xing, Xudong Huang, Chenglu Li & Charles Xie (2023). Teaching thermodynamics with augmented interaction and learning analytics. Elsevier. Published, 01/09/2023.
    https://doi.org/10.1016/j.compedu.2023.104726

Presentations

  • Li, H., Xing, W., Li, C., Zhu, W. (under review). Unraveling Positive Affective Feedback Mechanisms in Mathematics Teaching: Utilizing Multimodal Data Mining and Explainable Analysis to Develop a Scaffolding Tool. 2024 ACM Learning @ Scale Conference. Conference Paper, Refereed, Submitted, 02/17/2024.
  • Li, H., Guo, R., Li, C., & Xing, W. (under review). Automated Quality Assessment of Multimodal Mathematical Stories Generated by Generative Artificial Intelligence: Text-Image Coherence and Grade Level Appropriateness. 2024 ACM Learning @ Scale Conference. Conference Paper, Refereed, Submitted, 02/17/2024.
  • Lyu, B., Li, C., Li, H., & Xing, W. (under review). Influences of Joining Time and Social Interactions on Sustaining Students’ Participation in an Online Mathematics Discussion Board. 2024 ACM Learning @ Scale Conference. Conference Paper, Refereed, Submitted, 02/17/2024.
  • Zhu, W., Li, C., Zhu, G., Li, Y., & Xing, W. (accepted). iSEA: Instructor-in-the-loop Student Engagement Analytics via FAccT AI. International Society of the Learning Sciences Annual Meeting. Conference Paper, Refereed, Accepted, 02/16/2024.
  • Liu, Z., Jiao, X., Zhang, S., Jiang, S., Li, C., & Xing, W. (under review). Predicting Changes in Students' Performance Using Online Learning Behavior Data and Group Fairness. Educational Data Mining 2024. Conference Paper, Refereed, Submitted, 02/07/2024.
  • Henkel, O., Levonian, Z., Li, C., & Postle, M. (under review). Retrieval-augmented Generation to Improve Math Question-Answering: Trade-offs Between Groundedness and Human Preference. Educational Data Mining 2024. Conference Paper, Refereed, Submitted, 02/06/2024.
  • Li C., & Xing, W. (2023, October 16-20). Investigating Social Support Dynamics of Online Math Learning Using Core-Periphery-xPeriphery Structures [Conference presentation]. Association for Educational Communications & Technology International Convention, Orlando, FL, United States. Presentation, Presented, 10/18/2023.
  • Song, Y., Xing, W., Barron, A., Oh, H., Li, C., & Minces, V. (2023, October 16-20). Unlocking the Potential of Coding Music for Young Students through M-flow Platform [Conference presentation]. Association for Educational Communications & Technology International Convention, Orlando, FL, United States. Presentation, Presented, 10/17/2023.
  • Zhang, F., Xing, W., & Li, C. (2023, October 16-20). Using Reinforcement Learning with Multi-Group Fairness to Predict Students' Algebra I Performance [Workshop]. Association for Educational Communications & Technology International Convention, Orlando, FL, United States. Other, Presented, 10/15/2023.
  • Zou, W., Pan, Z., Li, C., & Yang, Y. (2023, October 16-20). Mathmagician: Co-creating an AI-based Culturally Responsive Math Word Problem Generator with Educators and Learners [Poster presentation]. Association for Educational Communications & Technology International Convention, Orlando, FL, United States. Presentation, Presented, 10/15/2023.
  • Lin, S., Pringle Z., Cipriano, C., Li, C., Wood, M., & Brackett, M. (2023, April 13-16). Mixed Affect Among Educators During the COVID-19 Pandemic: A Network Analysis. American Educational Research Association 2023 Annual Meeting, Chicago, IL, United States. Presentation, Presented, 04/15/2023.
  • Li, C., Xing, W., & Leite, W. (2023, April 13-16). Enhancing the Safety of Conversational Artificial Intelligence to Support Online Learning Using Educational Big Data. American Educational Research Association 2023 Annual Meeting, Chicago, IL, United States. Presentation, Presented, 04/13/2023.

Grants, Contracts & Research Gifts

  • Learning Engineering Virtual Institute. PI: Chenglu Li. University of Florida, 10/06/2023 - 09/30/2024. Total project budget to date: $200,000.00

Languages

  • Chinese, fluent.
  • English, fluent.
  • Vietnamese, basic.