Chenglu Li

Orcid: 0000-0002-1782-0457

According to our database1, Chenglu Li authored at least 62 papers between 2020 and 2026.

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Bibliography

2026
Fair AI in educational predictions: A multi-group fairness approach using reinforcement learning.
Internet High. Educ., 2026

The alignment of knowledge focus during teaching preparation and AI-powered learning-by-teaching and their effects on mathematics learning outcomes in the context of high-stakes state assessments.
Comput. Educ., 2026

How Pedagogical Agents' Instructional, Cognitive, and Pastoral Conversational Strategies Interactively Shape Students' Learning.
Proceedings of the LAK26: 16th International Learning Analytics and Knowledge Conference, 2026

Designing AI Teachable Agents with Personality: Supporting Student Emotions in Mathematics Learning.
Proceedings of the LAK26: 16th International Learning Analytics and Knowledge Conference, 2026

Understanding Attention Patterns toward Embodied AI Agents in Immersive Learning Environments.
Proceedings of the Extended Abstracts of the 2026 CHI Conference on Human Factors in Computing Systems, 2026

2025
Leveraging contrastive learning to improve group and individual fairness in predictive analytics for online learning.
J. Comput. High. Educ., December, 2025

Diversity Embedding Deep Optimal Graph Regularized Nonnegative Matrix Factorization for Robust Multiview Clustering.
IEEE Trans. Comput. Soc. Syst., October, 2025

Development of a generative AI-powered teachable agent for middle school mathematics learning: A design-based research study.
Br. J. Educ. Technol., September, 2025

Investigating the motivational and knowledge affordances of conversational AI using induction, concretization and exemplification in math learning.
Br. J. Educ. Technol., September, 2025

What are the differences between student and ChatGPT-generated pseudocode? Detecting AI-generated pseudocode in high school programming using explainable machine learning.
Educ. Inf. Technol., July, 2025

Math-LLMs: AI Cyberinfrastructure with Pre-trained Transformers for Math Education.
Int. J. Artif. Intell. Educ., June, 2025

Robust Deep Matrix Factorization With Low-Rank and Hypergraph Learning for Multi-View Data Processing.
IEEE Trans. Consumer Electron., May, 2025

Are simpler math stories better? Automatic readability assessment of GAI-generated multimodal mathematical stories validated by engagement.
Br. J. Educ. Technol., May, 2025

Robust Hypergraph Regularized Deep Non-Negative Matrix Factorization for Multi-View Clustering.
IEEE Trans. Emerg. Top. Comput. Intell., April, 2025

Exploring Automated Assessment of Primary Students' Creativity in a Flow-Based Music Programming Environment.
J. Learn. Anal., 2025

Exploring Fairness and Explainability in LLM-Generated Support for Online Learning Discussion Forums.
J. Learn. Anal., 2025

Integrating Option Tracing into Knowledge Tracing: Enhancing Learning Analytics for Mathematics Multiple-Choice Questions.
J. Learn. Anal., 2025

Investigating perceived fairness of AI prediction system for math learning: A mixed-methods study with college students.
Internet High. Educ., 2025

Weight consistency and cluster diversity based concept factorization for multi-view clustering.
Digit. Signal Process., 2025

The role of teachable agents' personality traits on student-AI interactions and math learning.
Comput. Educ., 2025

RICE AlgebraBot: Lessons learned from designing and developing responsible conversational AI using induction, concretization, and exemplification to support algebra learning.
Comput. Educ. Artif. Intell., 2025

Bridging the Gender Gap: The Role of AI-Powered Math Story Creation in Learning Outcomes.
Proceedings of the 15th International Learning Analytics and Knowledge Conference, 2025

Exploring the Role of Teachable AI Agents' Personality Traits in Shaping Student Interaction and Learning in Mathematics Education.
Proceedings of the 15th International Learning Analytics and Knowledge Conference, 2025

Who Should Be My Tutor? Analyzing the Interactive Effects of Automated Text Personality Styles Between Middle School Students and a Mathematics Chatbot.
Proceedings of the 15th International Learning Analytics and Knowledge Conference, 2025

Tackling Low-Resource K-12 Hand-Drawn Mathematics VQA: Unified Regularization with Compute-Aware Expert Token Architecture.
Proceedings of the IEEE International Conference on Big Data, 2025

Text-Based Teachable Agents in Math Learning: Examining the Effects of Tone and Emojis on Student-Agent Interaction and Knowledge Application.
Proceedings of the Artificial Intelligence in Education - 26th International Conference, 2025

Leveraging Multi-modality and Collaborative Filtering for Supporting Automatic Scoring in Mathematics Education.
Proceedings of the Artificial Intelligence in Education. Posters and Late Breaking Results, Workshops and Tutorials, Industry and Innovation Tracks, Practitioners, Doctoral Consortium, Blue Sky, and WideAIED, 2025

2024
Investigating the relationship between math literacy and linguistic synchrony in online mathematical discussions through large-scale data analytics.
Br. J. Educ. Technol., September, 2024

Using fair AI to predict students' math learning outcomes in an online platform.
Interact. Learn. Environ., March, 2024

Elementary School Students' and Teachers' Perceptions Towards Creative Mathematical Writing with Generative AI.
CoRR, 2024

Students' Perceived Roles, Opportunities, and Challenges of a Generative AI-powered Teachable Agent: A Case of Middle School Math Class.
CoRR, 2024

Interplay Among Students' Technical, Social, and Content-Related Participation Patterns in an Online Mathematical Discussion Board.
Proceedings of the Eleventh ACM Conference on Learning @ Scale, 2024

Roles of Joining Time, Technology Use, and Social Interaction in Sustaining Student Participation in an Online Mathematics Discussion Board.
Proceedings of the Eleventh ACM Conference on Learning @ Scale, 2024

Positive Affective Feedback Mechanisms in an Online Mathematics Learning Platform.
Proceedings of the Eleventh ACM Conference on Learning @ Scale, 2024

Automated Quality Assessment of Multimodal Mathematical Stories Generated by Generative Artificial Intelligence.
Proceedings of the Eleventh ACM Conference on Learning @ Scale, 2024

A Fair Clustering Approach to Self-Regulated Learning Behaviors in a Virtual Learning Environment.
Proceedings of the 14th Learning Analytics and Knowledge Conference, 2024

Analyzing Student Attention and Acceptance of Conversational AI for Math Learning: Insights from a Randomized Controlled Trial.
Proceedings of the 14th Learning Analytics and Knowledge Conference, 2024

Automated Feedback for Student Math Responses Based on Multi-Modality and Fine-Tuning.
Proceedings of the 14th Learning Analytics and Knowledge Conference, 2024

WIP: Examining Disparities in Mathematical Literacy Within an Asynchronous Online Discussion Community through Core & Periphery & Extra-Periphery Structure.
Proceedings of the IEEE Frontiers in Education Conference, 2024

Explainable Analysis of AI-Generated Responses in Online Learning Discussions.
Proceedings of the 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), 2024

Fair Prediction of Students' Summative Performance Changes Using Online Learning Behavior Data.
Proceedings of the 17th International Conference on Educational Data Mining, 2024

Retrieval-augmented Generation to Improve Math Question-Answering: Trade-offs Between Groundedness and Human Preference.
Proceedings of the 17th International Conference on Educational Data Mining, 2024


2023
Robust multi-view non-negative matrix factorization with adaptive graph and diversity constraints.
Inf. Sci., July, 2023

Mining big data to help make informed decisions for designing effective digital educational games.
Interact. Learn. Environ., July, 2023

Teaching thermodynamics with augmented interaction and learning analytics.
Comput. Educ., April, 2023

Retrieval-augmented Generation to Improve Math Question-Answering: Trade-offs Between Groundedness and Human Preference.
CoRR, 2023

Predicting Students' Algebra I Performance using Reinforcement Learning with Multi-Group Fairness.
Proceedings of the LAK 2023: 13th International Learning Analytics and Knowledge Conference, 2023

Are We on the Same Page? Modeling Linguistic Synchrony and Math Literacy in Mathematical Discussions.
Proceedings of the LAK 2023: 13th International Learning Analytics and Knowledge Conference, 2023

M-flow: a Flow-based Music Creation Platform Improves Underrepresented Children's Attitudes toward Computer Programming.
Proceedings of the 22nd Annual ACM Interaction Design and Children Conference, 2023

2022
Engaging Students in Distance Learning of Science With Remote Labs 2.0.
IEEE Trans. Learn. Technol., 2022

Building socially responsible conversational agents using big data to support online learning: A case with Algebra Nation.
Br. J. Educ. Technol., 2022

Revealing Factors Influencing Students' Perceived Fairness: A Case with a Predictive System for Math Learning.
Proceedings of the L@S'22: Ninth ACM Conference on Learning @ Scale, New York City, NY, USA, June 1, 2022

Do Gender and Race Matter? Supporting Help-Seeking with Fair Peer Recommenders in an Online Algebra Learning Platform.
Proceedings of the LAK 2022: 12th International Learning Analytics and Knowledge Conference, Online Event, USA, March 21, 2022

2021
Enhancing distance learning of science - Impacts of remote labs 2.0 on students' behavioural and cognitive engagement.
J. Comput. Assist. Learn., 2021

Exploring the relationship between social presence and learners' prestige in MOOC discussion forums using automated content analysis and social network analysis.
Comput. Hum. Behav., 2021

Natural Language Generation Using Deep Learning to Support MOOC Learners.
Int. J. Artif. Intell. Educ., 2021

Yet Another Predictive Model? Fair Predictions of Students' Learning Outcomes in an Online Math Learning Platform.
Proceedings of the LAK'21: 11th International Learning Analytics and Knowledge Conference, 2021

Using Fair AI with Debiased Network Embeddings to Support Help Seeking in an Online Math Learning Platform.
Proceedings of the Artificial Intelligence in Education - 22nd International Conference, 2021

2020
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., 2020

Learning Analytics Dashboard for Problem-based Learning.
Proceedings of the L@S'20: Seventh ACM Conference on Learning @ Scale, 2020

Does Social Presence Play a Role in Learners' Positions in MOOC Learner Network? A Machine Learning Approach to Analyze Social Presence in Discussion Forums.
Proceedings of the Advances in Quantitative Ethnography - Second International Conference, 2020


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