Does Social Presence Play a Role in Learners' Positions in MOOC Learner Network? A Machine Learning Approach to Analyze Social Presence in Discussion Forums. - Wenting Zou; Zilong Pan; Chenglu Li; Min Liu 004 (ICQE, 2020)

Learning Analytics Dashboard for Problem-based Learning. - Zilong Pan; Chenglu Li; Min Liu 004 (L@S, 2020)

What do participants think of today's MOOCs: an updated look at the benefits and challenges of MOOCs designed for working professionals. - Min Liu 004; Wenting Zou; Yi Shi; Zilong Pan; Chenglu Li (J. Comput. High. Educ., 2020)

Using Fair AI with Debiased Network Embeddings to Support Help Seeking in an Online Math Learning Platform. - Chenglu Li; Wanli Xing; Walter L. Leite (AIED (2), 2021)

Yet Another Predictive Model? Fair Predictions of Students' Learning Outcomes in an Online Math Learning Platform. - Chenglu Li; Wanli Xing; Walter L. Leite (LAK, 2021)

Natural Language Generation Using Deep Learning to Support MOOC Learners. - Chenglu Li; Wanli Xing (Int. J. Artif. Intell. Educ., 2021)

Exploring the relationship between social presence and learners' prestige in MOOC discussion forums using automated content analysis and social network analysis. - Wenting Zou; Xiao Hu; Zilong Pan; Chenglu Li; Ying Cai; Min Liu 004 (Comput. Hum. Behav., 2021)

Enhancing distance learning of science - Impacts of remote labs 2.0 on students' behavioural and cognitive engagement. - Shannon Hsianghan-Huang Sung; Chenglu Li; Xudong Huang; Charles Xie (J. Comput. Assist. Learn., 2021)

Do Gender and Race Matter? Supporting Help-Seeking with Fair Peer Recommenders in an Online Algebra Learning Platform. - Chenglu Li; Wanli Xing; Walter L. Leite (LAK, 2022)

Revealing Factors Influencing Students' Perceived Fairness: A Case with a Predictive System for Math Learning. - Chenglu Li; Wanli Xing (L@S, 2022)

Building socially responsible conversational agents using big data to support online learning: A case with Algebra Nation. - Chenglu Li; Wanli Xing; Walter L. Leite (Br. J. Educ. Technol., 2022)

Engaging Students in Distance Learning of Science With Remote Labs 2.0. - Charles Xie; Chenglu Li; Shannon Sung; Rundong Jiang (IEEE Trans. Learn. Technol., 2022)

M-flow: a Flow-based Music Creation Platform Improves Underrepresented Children's Attitudes toward Computer Programming. - Yukyeong Song; Wanli Xing; Alec Barron; Hyunju Oh; Chenglu Li; Victor Minces (IDC, 2023)

Are We on the Same Page? Modeling Linguistic Synchrony and Math Literacy in Mathematical Discussions. - Yukyeong Song; Wanli Xing; Xiaoyi Tian 001; Chenglu Li (LAK, 2023)

Predicting Students' Algebra I Performance using Reinforcement Learning with Multi-Group Fairness. - Fan Zhang 118; Wanli Xing; Chenglu Li (LAK, 2023)

Retrieval-augmented Generation to Improve Math Question-Answering: Trade-offs Between Groundedness and Human Preference. - Zachary Levonian; Chenglu Li; Wangda Zhu; Anoushka Gade; Owen Henkel; Millie-Ellen Postle; Wanli Xing (CoRR, 2023)

Teaching thermodynamics with augmented interaction and learning analytics. - Wanli Xing; Xudong Huang; Chenglu Li; Charles Xie (Comput. Educ., 2023)

Mining big data to help make informed decisions for designing effective digital educational games. - Min Liu 004; Chenglu Li; Zilong Pan; Xin Pan (Interact. Learn. Environ., 2023)

Robust multi-view non-negative matrix factorization with adaptive graph and diversity constraints. - Chenglu Li; Hangjun Che; Man-Fai Leung; Cheng Liu 001; Zheng Yan 001 (Inf. Sci., 2023)

Leveraging Large Language Models for Next-Generation Educational Technologies. - Neil T. Heffernan; Rose E. Wang; Christopher MacLellan; Arto Hellas; Chenglu Li; Candace A. Walkington; Joshua Littenberg-Tobias; David Joyner; Steven Moore; Adish Singla; Zach A. Pardos; Maciej Pankiewicz; et al. (EDM, 2024)

Retrieval-augmented Generation to Improve Math Question-Answering: Trade-offs Between Groundedness and Human Preference. - Owen Henkel; Zachary Levonian; Chenglu Li; Millie-Ellen Postle (EDM, 2024)

Fair Prediction of Students' Summative Performance Changes Using Online Learning Behavior Data. - Zifeng Liu; Xinyue Jiao; Chenglu Li; Wanli Xing (EDM, 2024)

Explainable Analysis of AI-Generated Responses in Online Learning Discussions. - Zifeng Liu; Wanli Xing; Chenglu Li (HEXED/L3MNGET@EDM, 2024)

WIP: Examining Disparities in Mathematical Literacy Within an Asynchronous Online Discussion Community through Core & Periphery & Extra-Periphery Structure. - Hai Li; Rui Guo; Wangda Zhu; Chenglu Li; Wanli Xing (FIE, 2024)

Automated Feedback for Student Math Responses Based on Multi-Modality and Fine-Tuning. - Hai Li; Chenglu Li; Wanli Xing; Sami Baral; Neil T. Heffernan (LAK, 2024)

Analyzing Student Attention and Acceptance of Conversational AI for Math Learning: Insights from a Randomized Controlled Trial. - Chenglu Li; Wangda Zhu; Wanli Xing; Rui Guo (LAK, 2024)

A Fair Clustering Approach to Self-Regulated Learning Behaviors in a Virtual Learning Environment. - Yukyeong Song; Chenglu Li; Wanli Xing; Shan Li; Hakeoung Hannah Lee (LAK, 2024)

Automated Quality Assessment of Multimodal Mathematical Stories Generated by Generative Artificial Intelligence. - Hai Li; Rui Guo; Chenglu Li; Wanli Xing (L@S, 2024)

Positive Affective Feedback Mechanisms in an Online Mathematics Learning Platform. - Hai Li; Wanli Xing; Chenglu Li; Wangda Zhu; Neil T. Heffernan (L@S, 2024)

Roles of Joining Time, Technology Use, and Social Interaction in Sustaining Student Participation in an Online Mathematics Discussion Board. - Bailing Lyu; Chenglu Li; Hai Li; Wanli Xing (L@S, 2024)

Interplay Among Students' Technical, Social, and Content-Related Participation Patterns in an Online Mathematical Discussion Board. - Bailing Lyu; Chenglu Li; Hai Li; Wanli Xing (L@S, 2024)

Students' Perceived Roles, Opportunities, and Challenges of a Generative AI-powered Teachable Agent: A Case of Middle School Math Class. - Yukyeong Song; Jinhee Kim; Zifeng Liu; Chenglu Li; Wanli Xing (CoRR, 2024)

Elementary School Students' and Teachers' Perceptions Towards Creative Mathematical Writing with Generative AI. - Yukyeong Song; Jinhee Kim; Wanli Xing; Zifeng Liu; Chenglu Li; Hyunju Oh (CoRR, 2024)

Using fair AI to predict students' math learning outcomes in an online platform. - Chenglu Li; Wanli Xing; Walter L. Leite (Interact. Learn. Environ., 2024)

Investigating the relationship between math literacy and linguistic synchrony in online mathematical discussions through large-scale data analytics. - Yukyeong Song; Wanli Xing; Chenglu Li; Xiaoyi Tian 001; Yingbo Ma (Br. J. Educ. Technol., 2024)

Text-Based Teachable Agents in Math Learning: Examining the Effects of Tone and Emojis on Student-Agent Interaction and Knowledge Application. - Bailing Lyu; Chenglu Li; Hai Li; Wanli Xing; Gökhan Gülfidan; Linlin Wu (AIED (4), 2025)

Who Should Be My Tutor? Analyzing the Interactive Effects of Automated Text Personality Styles Between Middle School Students and a Mathematics Chatbot. - Hai Li; Wanli Xing; Chenglu Li; Wangda Zhu; Bailing Lyu; Fan Zhang 118; Zifeng Liu (LAK, 2025)

Exploring the Role of Teachable AI Agents' Personality Traits in Shaping Student Interaction and Learning in Mathematics Education. - Bailing Lyu; Chenglu Li; Hai Li; Hyunju Oh; Yukyeong Song; Wangda Zhu; Wanli Xing (LAK, 2025)

Bridging the Gender Gap: The Role of AI-Powered Math Story Creation in Learning Outcomes. - Wangda Zhu; Wanli Xing; Bailing Lyu; Chenglu Li; Fan Zhang 118; Hai Li (LAK, 2025)

RICE AlgebraBot: Lessons learned from designing and developing responsible conversational AI using induction, concretization, and exemplification to support algebra learning. - Chenglu Li; Wanli Xing; Yukyeong Song; Bailing Lyu (Comput. Educ. Artif. Intell., 2025)

The role of teachable agents' personality traits on student-AI interactions and math learning. - Bailing Lyu; Chenglu Li; Hai Li; Hyunju Oh; Yukyeong Song; Wangda Zhu; Wanli Xing (Comput. Educ., 2025)

Weight consistency and cluster diversity based concept factorization for multi-view clustering. - Youyang Tao; Hangjun Che; Chenglu Li; Baicheng Pan; Man-Fai Leung (Digit. Signal Process., 2025)

Investigating perceived fairness of AI prediction system for math learning: A mixed-methods study with college students. - Yukyeong Song; Chenglu Li; Wanli Xing; Bailing Lyu; Wangda Zhu (Internet High. Educ., 2025)

Integrating Option Tracing into Knowledge Tracing: Enhancing Learning Analytics for Mathematics Multiple-Choice Questions. - Hai Li; Wanli Xing; Chenglu Li; Wangda Zhu; Simon Woodhead 002 (J. Learn. Anal., 2025)

Robust Hypergraph Regularized Deep Non-Negative Matrix Factorization for Multi-View Clustering. - Hangjun Che; Chenglu Li; Man-Fai Leung; Deqiang Ouyang; Xiangguang Dai; Shiping Wen 001 (IEEE Trans. Emerg. Top. Comput. Intell., 2025)

Are simpler math stories better? Automatic readability assessment of GAI-generated multimodal mathematical stories validated by engagement. - Hai Li; Wanli Xing; Chenglu Li; Wangda Zhu; Hyunju Oh (Br. J. Educ. Technol., 2025)

Robust Deep Matrix Factorization With Low-Rank and Hypergraph Learning for Multi-View Data Processing. - Baicheng Pan; Hangjun Che; Chenglu Li; Hongfei Li 001 (IEEE Trans. Consumer Electron., 2025)

Math-LLMs: AI Cyberinfrastructure with Pre-trained Transformers for Math Education. - Fan Zhang 118; Chenglu Li; Owen Henkel; Wanli Xing; Sami Baral; Neil T. Heffernan; Hai Li (Int. J. Artif. Intell. Educ., 2025)

What are the differences between student and ChatGPT-generated pseudocode? Detecting AI-generated pseudocode in high school programming using explainable machine learning. - Zifeng Liu; Wanli Xing; Xinyue Jiao; Chenglu Li; Wangda Zhu (Educ. Inf. Technol., 2025)