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Publication search results
found 137 matches
- 2024
- Jiayi Zhang, Conrad Borchers, Vincent Aleven, Ryan S. Baker:
Using Large Language Models to Detect Self-Regulated Learning in Think-Aloud Protocols. EDM 2024 - Yang Shi, Peter Brusilovsky, Bita Akram, Thomas W. Price, Juho Leinonen, Kenneth R. Koedinger, Andrew S. Lan:
8th Educational Data Mining in Computer Science Education (CSEDM) Workshop. EDM 2024 - Yang Shi, Min Chi, Tiffany Barnes, Thomas W. Price:
Evaluating Multi-Knowledge Component Interpretability of Deep Knowledge Tracing Models in Programming. EDM 2024 - Jaewook Lee, Digory Smith, Simon Woodhead, Andrew S. Lan:
Math Multiple Choice Question Generation via Human-Large Language Model Collaboration. EDM 2024 - Halim Acosta, Seung Y. Lee, Bradford W. Mott, Haesol Bae, Krista D. Glazewski, Cindy E. Hmelo-Silver, James C. Lester:
Multimodal Learning Analytics for Predicting Student Collaboration Satisfaction in Collaborative Game-Based Learning. EDM 2024 - Celestine E. Akpanoko, Ashwin T. S., Grayson Cordell, Gautam Biswas:
Investigating the Relations between Students' Affective States and the Coherence in their Activities in Open-Ended Learning Environments. EDM 2024 - Nazia Alam, Behrooz Mostafavi, Sutapa Dey Tithi, Min Chi, Tiffany Barnes:
How Much Training is Needed? Reducing Training Time using Deep Reinforcement Learning in an Intelligent Tutor. EDM 2024 - Mohammad Arif Ul Alam, Madhavi Pagare, Susan Davis, Geeta Verma, Ashis Kumer Biswas, Justin Barbern:
Empowering Predictions of the Social Determinants of Mental Health through Large Language Model Augmentation in Students' Lived Experiential Essays. EDM 2024 - Antonio R. Anaya, Pablo M. Gómez, Ariel Lutenberg:
Tailored analysis of dropout in UBA distance postgraduate courses: first results. EDM 2024 - Yuya Asano, Diane J. Litman, Quentin King-Shepard, Tristan Maidment, Tyree Langley, Teresa Davison:
What metrics of participation balance predict outcomes of collaborative learning with a robot? EDM 2024 - Ryan Shaun Baker, Stephen Hutt, Christopher A. Brooks, Namrata Srivastava, Caitlin Mills:
Open Science and Educational Data Mining: Which Practices Matter Most? EDM 2024 - Sami Baral, Eamon Worden, Wen-Chiang Lim, Zhuang Luo, Christopher Santorelli, Ashish Gurung:
Automated Assessment in Math Education: A Comparative Analysis of LLMs for Open-Ended Responses. EDM 2024 - Conrad Borchers, Yinuo Xu, Zachary A. Pardos:
Are You an Early Dropper or Late Shopper? Mining Enrollment Transaction Data to Study Procrastination in Higher Education. EDM 2024 - Conrad Borchers, Kexin Yang, Jionghao Lin, Nikol Rummel, Kenneth R. Koedinger, Vincent Aleven:
Combining Dialog Acts and Skill Modeling: What Chat Interactions Enhance Learning Rates During AI-Supported Peer Tutoring? EDM 2024 - Anthony F. Botelho, Avery Harrison Closser, Adam C. Sales, Neil T. Heffernan, Kirk P. Vanacore:
Causal Inference in Educational Data Mining. EDM 2024 - Jessica Boyle, Scott A. Crossley:
Semantic Similarity of Teacher and Student Discourse Linked to Quality Ratings from Classroom Observations. EDM 2024 - Pamela Buñay-Guisñan, Juan Alfonso Lara, Alberto Cano, Rebeca Cerezo, Cristóbal Romero:
Easing the Prediction of Student Dropout for everyone integration AutoML and Explainable Artificial Intelligence. EDM 2024 - Minghao Cai, Carrie Demmans Epp:
Predicting Cognitive Load Using Sensor Data in a Literacy Game. EDM 2024 - Meng Cao, Philip I. Pavlik Jr., Wei Chu, Liang Zhang:
Integrating Attentional Factors and Spacing in Logistic Knowledge Tracing Models to Explore the Impact of Train-ing Sequences on Category Learning. EDM 2024 - Blake Castleman, Mehmet Kerem Türkcan:
Examining the Influence of Varied Levels of Domain Knowledge Base Inclusion in GPT-based Intelligent Tutors. EDM 2024 - S. Thomas Christie, Carson Cook, Anna N. Rafferty:
Uncertainty-preserving deep knowledge tracing with state-space models. EDM 2024 - S. Thomas Christie, Baptiste Moreau-Pernet, Yu Tian, John Whitmer:
FlexEval: a customizable tool for chatbot performance evaluation and dialogue analysis. EDM 2024 - Jade Maï Cock, Hugues Saltini, Haoyu Sheng, Riya Ranjan, Richard Davis, Tanja Käser:
Investigation of behavioral Differences: Uncovering Behavioral Sources of Demographic Bias in Educational Algorithms. EDM 2024 - Lea Cohausz:
Thinking Causally in EDM: A Hands-On Tutorial for Causal Modeling Using DAGs. EDM 2024 - Aubrey Condor, Zachary A. Pardos:
Auditing an Automatic Grading Model with deep Reinforcement Learning. EDM 2024 - David G. Cooper:
Beyond Tutor Logs: Utilizing sensor data for measuring student behavior. EDM 2024 - Scott A. Crossley, Yu Tian, Joon Suh Choi, Langdon Holmes, Wesley Morris:
Plagiarism Detection Using Keystroke Logs. EDM 2024 - Mehmet Arif Demirtas:
Identifying and Evaluating Novel Knowledge Component Models for Programming Skills. EDM 2024 - Mehmet Arif Demirtas, Max Fowler, Kathryn Cunningham:
Reexamining Learning Curve Analysis in Programming Education: The Value of Many Small Problems. EDM 2024 - Andreea-Nicoleta Dutulescu, Stefan Ruseti, Mihai Dascalu, Danielle McNamara:
How Hard can this Question be? An Exploratory Analysis of Features Assessing Question Difficulty using LLMs. EDM 2024
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