Chenglu Li
Orcid: 0000-0002-1782-0457
According to our database1,
Chenglu Li
authored at least 22 papers
between 2020 and 2024.
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Bibliography
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
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
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
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
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
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