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2025
[j19]
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Fan Zhang, Chenglu Li, Owen Henkel, Wanli Xing, Sami Baral, Neil T. Heffernan, Hai Li:
Math-LLMs: AI Cyberinfrastructure with Pre-trained Transformers for Math Education. Int. J. Artif. Intell. Educ. 35(2): 509-532 (2025)
[j18]
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Hai Li, Wanli Xing, Chenglu Li, Wangda Zhu, Hyunju Oh:
Are simpler math stories better? Automatic readability assessment of GAI-generated multimodal mathematical stories validated by engagement. Br. J. Educ. Technol. 56(3): 1092-1117 (2025)
[j17]
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Chenglu Li, Wanli Xing, Yukyeong Song, Bailing Lyu:
RICE AlgebraBot: Lessons learned from designing and developing responsible conversational AI using induction, concretization, and exemplification to support algebra learning. Comput. Educ. Artif. Intell. 8: 100338 (2025)
[j16]
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Bailing Lyu, Chenglu Li, Hai Li, Hyunju Oh, Yukyeong Song, Wangda Zhu, Wanli Xing:
The role of teachable agents' personality traits on student-AI interactions and math learning. Comput. Educ. 234: 105314 (2025)
[j15]
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Youyang Tao, Hangjun Che, Chenglu Li, Baicheng Pan, Man-Fai Leung:
Weight consistency and cluster diversity based concept factorization for multi-view clustering. Digit. Signal Process. 157: 104879 (2025)
[j14]
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Yukyeong Song, Chenglu Li, Wanli Xing, Bailing Lyu, Wangda Zhu:
Investigating perceived fairness of AI prediction system for math learning: A mixed-methods study with college students. Internet High. Educ. 65: 101000 (2025)
[j13]
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Hai Li, Wanli Xing, Chenglu Li, Wangda Zhu, Simon Woodhead:
Integrating Option Tracing into Knowledge Tracing: Enhancing Learning Analytics for Mathematics Multiple-Choice Questions. J. Learn. Anal. 12(1): 322-337 (2025)
[j12]
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Hangjun Che, Chenglu Li, Man-Fai Leung, Deqiang Ouyang, Xiangguang Dai, Shiping Wen:
Robust Hypergraph Regularized Deep Non-Negative Matrix Factorization for Multi-View Clustering. IEEE Trans. Emerg. Top. Comput. Intell. 9(2): 1817-1829 (2025)
[c25]
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Bailing Lyu, Chenglu Li, Hai Li, Wanli Xing, Gökhan Gülfidan, Linlin Wu:
Text-Based Teachable Agents in Math Learning: Examining the Effects of Tone and Emojis on Student-Agent Interaction and Knowledge Application. AIED (4) 2025: 134-147
[c24]
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Bailing Lyu, Chenglu Li, Hai Li, Hyunju Oh, Yukyeong Song, Wangda Zhu, Wanli Xing:
Exploring the Role of Teachable AI Agents' Personality Traits in Shaping Student Interaction and Learning in Mathematics Education. LAK 2025: 887-894
[c23]
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Hai Li, Wanli Xing, Chenglu Li, Wangda Zhu, Bailing Lyu, Fan Zhang, Zifeng Liu:
Who Should Be My Tutor? Analyzing the Interactive Effects of Automated Text Personality Styles Between Middle School Students and a Mathematics Chatbot. LAK 2025: 910-917
[c22]
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Wangda Zhu, Wanli Xing, Bailing Lyu, Chenglu Li, Fan Zhang, Hai Li:
Bridging the Gender Gap: The Role of AI-Powered Math Story Creation in Learning Outcomes. LAK 2025: 918-923
2024
[j11]
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Yukyeong Song, Wanli Xing, Chenglu Li, Xiaoyi Tian, Yingbo Ma:
Investigating the relationship between math literacy and linguistic synchrony in online mathematical discussions through large-scale data analytics. Br. J. Educ. Technol. 55(5): 2226-2256 (2024)
[j10]
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Chenglu Li, Wanli Xing, Walter L. Leite:
Using fair AI to predict students' math learning outcomes in an online platform. Interact. Learn. Environ. 32(3): 1117-1136 (2024)
[c21]
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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, Juho Kim, Shashank Sonkar, Clayton Cohn, Anthony Botelho, Andrew S. Lan, Lan Jiang, Mingyu Feng, Tanja Käser, Eamon Worden:
Leveraging Large Language Models for Next-Generation Educational Technologies. EDM 2024
[c20]
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Owen Henkel, Zachary Levonian, Chenglu Li, Millie-Ellen Postle:
Retrieval-augmented Generation to Improve Math Question-Answering: Trade-offs Between Groundedness and Human Preference. EDM 2024
[c19]
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Zifeng Liu, Xinyue Jiao, Chenglu Li, Wanli Xing:
Fair Prediction of Students' Summative Performance Changes Using Online Learning Behavior Data. EDM 2024
[c18]
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Zifeng Liu, Wanli Xing, Chenglu Li:
Explainable Analysis of AI-Generated Responses in Online Learning Discussions. HEXED/L3MNGET@EDM 2024
[c17]
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Hai Li, Rui Guo, Wangda Zhu, Chenglu Li, Wanli Xing:
WIP: Examining Disparities in Mathematical Literacy Within an Asynchronous Online Discussion Community through Core & Periphery & Extra-Periphery Structure. FIE 2024: 1-4
[c16]
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Hai Li, Chenglu Li, Wanli Xing, Sami Baral, Neil T. Heffernan:
Automated Feedback for Student Math Responses Based on Multi-Modality and Fine-Tuning. LAK 2024: 763-770
[c15]
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Yukyeong Song, Chenglu Li, Wanli Xing, Shan Li, Hakeoung Hannah Lee:
A Fair Clustering Approach to Self-Regulated Learning Behaviors in a Virtual Learning Environment. LAK 2024: 771-778
[c14]
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Chenglu Li, Wangda Zhu, Wanli Xing, Rui Guo:
Analyzing Student Attention and Acceptance of Conversational AI for Math Learning: Insights from a Randomized Controlled Trial. LAK 2024: 836-842
[c13]
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Hai Li, Rui Guo, Chenglu Li, Wanli Xing:
Automated Quality Assessment of Multimodal Mathematical Stories Generated by Generative Artificial Intelligence. L@S 2024: 110-121
[c12]
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Hai Li, Wanli Xing, Chenglu Li, Wangda Zhu, Neil T. Heffernan:
Positive Affective Feedback Mechanisms in an Online Mathematics Learning Platform. L@S 2024: 371-375
[c11]
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Bailing Lyu, Chenglu Li, Hai Li, Wanli Xing:
Roles of Joining Time, Technology Use, and Social Interaction in Sustaining Student Participation in an Online Mathematics Discussion Board. L@S 2024: 398-402
[c10]
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Bailing Lyu, Chenglu Li, Hai Li, Wanli Xing:
Interplay Among Students' Technical, Social, and Content-Related Participation Patterns in an Online Mathematical Discussion Board. L@S 2024: 466-470
[e1]
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Juan D. Pinto, Eamon Worden, Anthony Botelho, Lea Cohausz, Clayton Cohn, Mingyu Feng, Neil T. Heffernan, Arto Hellas, Lan Jiang, David Joyner, Tanja Käser, Juho Kim, Andrew S. Lan, Chenglu Li, Joshua Littenberg-Tobias, Qianhui Liu, Christopher MacLellan, Steven Moore, Maciej Pankiewicz, Luc Paquette, Zach A. Pardos, Anna N. Rafferty, Adish Singla, Shashank Sonkar, Vinitra Swamy, Rose E. Wang, Candace A. Walkington:
Joint Proceedings of the Human-Centric eXplainable AI in Education and the Leveraging Large Language Models for Next Generation Educational Technologies Workshops (HEXED-L3MNGET 2024) co-located with 17th International Conference on Educational Data Mining (EDM 2024), Atlanta, Georgia, USA, July 14, 2024. CEUR Workshop Proceedings 3840, CEUR-WS.org 2024 [contents]
[i3]
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  - journals/corr/abs-2409-06721
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Yukyeong Song, Jinhee Kim, Zifeng Liu, Chenglu Li, Wanli Xing:
Students' Perceived Roles, Opportunities, and Challenges of a Generative AI-powered Teachable Agent: A Case of Middle School Math Class. CoRR abs/2409.06721 (2024)
[i2]
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Yukyeong Song, Jinhee Kim, Wanli Xing, Zifeng Liu, Chenglu Li, Hyunju Oh:
Elementary School Students' and Teachers' Perceptions Towards Creative Mathematical Writing with Generative AI. CoRR abs/2409.06723 (2024)
2023
[j9]
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Wanli Xing, Xudong Huang, Chenglu Li, Charles Xie:
Teaching thermodynamics with augmented interaction and learning analytics. Comput. Educ. 196: 104726 (2023)
[j8]
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Min Liu, Chenglu Li, Zilong Pan, Xin Pan:
Mining big data to help make informed decisions for designing effective digital educational games. Interact. Learn. Environ. 31(5): 2562-2582 (2023)
[j7]
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Chenglu Li, Hangjun Che, Man-Fai Leung, Cheng Liu, Zheng Yan:
Robust multi-view non-negative matrix factorization with adaptive graph and diversity constraints. Inf. Sci. 634: 587-607 (2023)
[c9]
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  - conf/acmidc/SongXBOLM23
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Yukyeong Song, Wanli Xing, Alec Barron, Hyunju Oh, Chenglu Li, Victor Minces:
M-flow: a Flow-based Music Creation Platform Improves Underrepresented Children's Attitudes toward Computer Programming. IDC 2023: 233-238
[c8]
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Yukyeong Song, Wanli Xing, Xiaoyi Tian, Chenglu Li:
Are We on the Same Page? Modeling Linguistic Synchrony and Math Literacy in Mathematical Discussions. LAK 2023: 599-605
[c7]
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Fan Zhang, Wanli Xing, Chenglu Li:
Predicting Students' Algebra I Performance using Reinforcement Learning with Multi-Group Fairness. LAK 2023: 657-662
[i1]
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  - journals/corr/abs-2310-03184
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Zachary Levonian, Chenglu Li, Wangda Zhu, Anoushka Gade, Owen Henkel, Millie-Ellen Postle, Wanli Xing:
Retrieval-augmented Generation to Improve Math Question-Answering: Trade-offs Between Groundedness and Human Preference. CoRR abs/2310.03184 (2023)
2022
[j6]
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Chenglu Li, Wanli Xing, Walter L. Leite:
Building socially responsible conversational agents using big data to support online learning: A case with Algebra Nation. Br. J. Educ. Technol. 53(4): 776-803 (2022)
[j5]
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Charles Xie, Chenglu Li, Shannon Sung, Rundong Jiang:
Engaging Students in Distance Learning of Science With Remote Labs 2.0. IEEE Trans. Learn. Technol. 15(1): 15-31 (2022)
[c6]
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Chenglu Li, Wanli Xing, Walter L. Leite:
Do Gender and Race Matter? Supporting Help-Seeking with Fair Peer Recommenders in an Online Algebra Learning Platform. LAK 2022: 432-437
[c5]
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Chenglu Li, Wanli Xing:
Revealing Factors Influencing Students' Perceived Fairness: A Case with a Predictive System for Math Learning. L@S 2022: 409-412
2021
[j4]
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Chenglu Li, Wanli Xing:
Natural Language Generation Using Deep Learning to Support MOOC Learners. Int. J. Artif. Intell. Educ. 31(2): 186-214 (2021)
[j3]
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Wenting Zou, Xiao Hu, Zilong Pan, Chenglu Li, Ying Cai, Min Liu:
Exploring the relationship between social presence and learners' prestige in MOOC discussion forums using automated content analysis and social network analysis. Comput. Hum. Behav. 115: 106582 (2021)
[j2]
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Shannon Hsianghan-Huang Sung, Chenglu Li, Xudong Huang, Charles Xie:
Enhancing distance learning of science - Impacts of remote labs 2.0 on students' behavioural and cognitive engagement. J. Comput. Assist. Learn. 37(6): 1606-1621 (2021)
[c4]
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Chenglu Li, Wanli Xing, Walter L. Leite:
Using Fair AI with Debiased Network Embeddings to Support Help Seeking in an Online Math Learning Platform. AIED (2) 2021: 245-250
[c3]
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Chenglu Li, Wanli Xing, Walter L. Leite:
Yet Another Predictive Model? Fair Predictions of Students' Learning Outcomes in an Online Math Learning Platform. LAK 2021: 572-578
2020
[j1]
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Min Liu, Wenting Zou, Yi Shi, Zilong Pan, Chenglu Li:
What do participants think of today's MOOCs: an updated look at the benefits and challenges of MOOCs designed for working professionals. J. Comput. High. Educ. 32(2): 307-329 (2020)
[c2]
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Wenting Zou, Zilong Pan, Chenglu Li, Min Liu:
Does Social Presence Play a Role in Learners' Positions in MOOC Learner Network? A Machine Learning Approach to Analyze Social Presence in Discussion Forums. ICQE 2020: 248-264
[c1]
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Zilong Pan, Chenglu Li, Min Liu:
Learning Analytics Dashboard for Problem-based Learning. L@S 2020: 393-396

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