Proceedings of the 18th International Conference on Educational Data Mining
Introduction to the Proceedings
Full Papers
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A Comparison of Real-Time User Classification Methods using Interaction Data for Open-ended Learning
Murali, Rohit
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Conati, Cristina
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Poole, David
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A Constraints-Based Approach to Fully Interpretable Neural Networks for Detecting Learner Behaviors
Pinto, Juan
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Paquette, Luc
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A LLM-Powered Automatic Grading Framework with Human-Level Guidelines Optimization
Chu, Yucheng
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Li, Hang
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Yang, Kaiqi
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Shomer, Harry
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Copur-Gencturk, Yasemin
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Kaldaras, Leonora
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Haudek, Kevin
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Krajcik, Joseph
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Shin, Namsoo
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Liu, Hui
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Tang, Jiliang
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A Multi-View Predictive Student Modeling Framework with Interpretable Causal Graph Discovery for Collaborative Learning Analytics
Acosta, Halim
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Lee, Seung
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Hong, Daeun
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Min, Wookhee
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Mott, Bradford
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Hmelo-Silver, Cindy
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Lester, James
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An Efficient Linearized Optimization Framework for Designing Balanced and Efficient Degree Plans
Slim, Ahmad
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Abdallah, Chaouki
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Slim, Ameer
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Analysis of Students' Attempts Trajectories in Learning Programming
Saidi, Idir
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Durand, Nicolas
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Flouvat, Frederic
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Are You Doubtful? Oh, It Might Be Difficult Then! Exploring the Use of Model Uncertainty for Question Difficulty Estimation
Zotos, Leonidas
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van Rijn, Hedderik
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Nissim, Malvina
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Automated Identification of Logical Errors in Programs: Advancing Scalable Analysis of Student Misconceptions
Hoq, Muntasir
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Rao, Ananya
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Jaishankar, Reisha
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Piryani, Krish
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Janapati, Nithya
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Vandenberg, Jessica
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Mott, Bradford
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Norouzi, Narges
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Lester, James
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Akram, Bita
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Automated Visual Attention Detection using Mobile Eye Tracking in Behavioral Classroom Studies
Bozkir, Efe
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Kosel, Christian
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Seidel, Tina
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Kasneci, Enkelejda
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Bridging the Data Gap: Using LLMs to Augment Datasets for Text Classification
Neshaei, Seyed Parsa
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Davis, Richard Lee
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Mejia-Domenzain, Paola
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Nazaretsky, Tanya
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Kaser, Tanja
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Comparison of Data Imputation Performance in Deep Generative Models for Educational Tabular Missing Data
Choi, Wan Chong
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Lam, Chan Tong
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Mendes, António José
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Evaluating multidimensional extensions of the Elo rating systems for tracking ability in online learning environments
Vermeiren, Hanke
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Hofman, Abe
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Bolsinova, Maria
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Examining the Role of LLM-Driven Interactions on Attention and Cognitive Engagement in Virtual Classrooms
Özdel, Süleyman
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Sarpkaya, Can
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Bozkir, Efe
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Gao, Hong
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Kasneci, Enkelejda
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Fairness of Bayesian Knowledge Tracing for Math Learners of Different Reading Ability
Stinar, Frank
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Lee, Haejin
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Belitz, Clara
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Nasiar, Nidhi
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Fancsali, Stephen
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Ritter, Steve
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Almoubayyed, Husni
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Baker, Ryan
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Ocumpaugh, Jaclyn
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Bosch, Nigel
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Fully Latent Principal Stratification with Misspecified Measurement Models in Intelligent Tutoring Systems
Pei, Yanping
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Sales, Adam
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Kang, Hyeon-Ah
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Whittaker, Tiffany
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Human-crafted Features in Machine Learning Increase Trust but Risk Over-reliance
Tang, Liang
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Bosch, Nigel
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Improving Course Recommendation Systems with Explainable AI: LLM-Based Frameworks and Evaluations
Li, Jiawei
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Lyu, Qianru
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Qiu, Wei
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Khong, Andy W. H.
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Improving the Generalizability of Models of Collaborative Discourse
Chandler, Chelsea
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Raju, Rohit
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Reitman, Jason G.
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Penuel, William R.
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Ko, Monica
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Bush, Jeffrey B.
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Biddy, Quentin
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D'Mello, Sidney K.
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KCluster: An LLM-based Clustering Approach to Knowledge Component Discovery
Wei, Yumou
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Carvalho, Paulo
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Stamper, John
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Multimodal Assessment of Classroom Discourse Quality: A Text-Centered Attention-Based Multi-Task Learning Approach
Hou, Ruikun
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Buhler, Babette
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Futterer, Tim
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Bozkir, Efe
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Gerjets, Peter
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Trautwein, Ulrich
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Kasneci, Enkelejda
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Nonstandard English and the Automated Scoring of Open-Ended Math Problems
Siedahmed, Abubakir
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Ocumpaugh, Jaclyn
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Ferris, Zelda
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Kodwani, Dinesh
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Heffernan, Neil
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Worden, Eamon
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Predicting Student Success with Heterogeneous Graph Deep Learning and Machine Learning Models
Muresan, Anca
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Cardei, Mihaela
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Cardei, Ionut
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Privacy-Preserving Distributed Link Predictions Among Peers in Online Classrooms Using Federated Learning
Hridi, Anurata
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Hoq, Muntasir
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Gao, Zhikai
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Lynch, Collin
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Sahay, Rajeev
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Hosseinalipour, Seyyedali
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Akram, Bita
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Ranking-Based At-Risk Student Prediction Using Federated Learning and Differential Features
Yoneda, Shunsuke
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Svabensky, Valdemar
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Li, Gen
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Deguchi, Daisuke
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Shimada, Atsushi
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Starting Seatwork Earlier as a Valid Measure of Student Engagement
Gurung, Ashish
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Lin, Jionghao
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Huang, Zhongtian
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Borchers, Conrad
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Baker, Ryan
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Aleven, Vincent
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Koedinger, Kenneth
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The Half-Life of Epistemic Emotions: How Motivation Influences Affective Chronometry
Zambrano, Andres Felipe
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Ocumpaugh, Jaclyn
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Baker, Ryan S.
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Vanacore, Kirk
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Esiason, Jordan
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Vandenberg, Jessica
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Towards Actionable Pedagogical Feedback: A Multi-Perspective Analysis of Mathematics Teaching and Tutoring Dialogue
Naim, Jannatun
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Cao, Jie
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Tasneem, Fareen
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Jacobs, Jennifer
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Milne, Brent
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Martin, James
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Sumner, Tamara
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Using Large Multimodal Models to Extract Knowledge Components for Knowledge Tracing from Multimedia Question Information
Moon, Hyeongdon
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Davis, Richard Lee
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Neshaei, Seyed Parsa
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Dillenbourg, Pierre
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Using Webcam-Based Eye Tracking during a Learning Task to Understand Neurodivergence
Jaiyeola, Grace
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Wong, Aaron
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Bryck, Richard
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Mills, Caitlin
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Hutt, Stephen
Short Papers
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A Holistic Recommendation System for Higher Education Academic Activities
da Silva, Rafael Alves
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Ferreira, Lucas N.
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Assistant for the detection of potential cheating behavior in synchronous online programming exams
Ortin, Francisco
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Gago, Alonso
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Quiroga, Jose
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Garcia, Miguel
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Comparing Human Roleplayers and LLM-Simulated Clients in Online Counselling Training: An Analysis of Counselling Patterns
Rudolph, Eric
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Steigerwald, Philipp
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Albrecht, Jens
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Data-Knowledge-Driven Automatic Discovery of Teacher Classroom Teaching Behavior Indicator Categories
Cai, Ting
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Tang, Qingyuan
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Xiong, Yu
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Zhang, Lu
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Enhancing LLM-Based Short Answer Grading with Retrieval-Augmented Generation
Chu, Yucheng
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He, Peng
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Li, Hang
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Han, Haoyu
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Yang, Kaiqi
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Xue, Yu
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Li, Tingting
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Krajcik, Joseph
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Tang, Jiliang
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Evolutionary Features for Mitigating Cold Starts in Logistic Knowledge Tracing
Jr., Philip I. Pavlik
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Eglington, Luke
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From Discourse to Dynamics: Understanding Team Interactions Through Temporally Sensitive NLP
Park, Seehee
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Shariff, Danielle
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Samadi, Mohammad Amin
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Nixon, Nia
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D'Mello, Sidney
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Heterogeneous Treatment Effects of Learning Analytics Dashboards: Do All Learners Benefit Equally?
Ozturk, Aylin
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Schmucker, Robin
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Mitchell, Tom
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Kumtepe, Alper Tolga
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How Much Mastery is Enough Mastery? The Relationship between Mastery in a Lesson and the Performance on the Subsequent Lesson
Zhang, Jiayi
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Vanacore, Kirk
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Baker, Ryan S.
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Ch, Nabil
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Mills, Caitlin
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Henkel, Owen
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Humanizing Automated Programming Feedback: Fine-Tuning Generative Models with Student-Written Feedback
Pădurean, Victor-Alexandru
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Phung, Tung
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Kotalwar, Nachiket
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Liut, Michael
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Leinonen, Juho
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Denny, Paul
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Singla, Adish
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Improving Generative AI Student Feedback: Direct Preference Optimization with Teachers in the Loop
Woodrow, Juliette
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Piech, Chris
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Koyejo, Sanmi
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Integrated Curriculum Analytics: Bridging Structure, Pass Rates, and Student Outcomes
Slim, Ahmad
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Abdallah, Chaouki
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Allen, Elisha
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Slim, Ameer
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Linguistic Features Predicting Math Word Problem Readability Among Less-Skilled Readers
Norberg, Kole
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Almoubayyed, Husni
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Fancsali, Stephen
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Math Content Readability, Student Reading Ability, and Behavior Associated with Gaming the System in Adaptive Learning Software
Khanna, Pranjli
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Mathieu, Kaleb
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Norberg, Kole
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Almoubayyed, Husni
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Fancsali, Stephen
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Multi-Stage Speaker Diarization for Noisy Classrooms
Khan, Ali Sartaz
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Ogunremi, Tolulope
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Attia, Ahmed
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Demszky, Dorottya
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Natural Language-Driven Teacher Gesture Recognition
Xiong, Yu
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Chen, Shengyi
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Cai, Ting
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Chen, Lulu
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Li, Jun
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Objective Metrics for Evaluating Large Language Models Using External Data Sources
Du, Haoze
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Li, Richard
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Gehringer, Ed
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One Model to Score Them All: Unified Scoring of Learning Strategies with LLMs
Dutulescu, Andreea
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Ruseti, Stefan
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Dascalu, Mihai
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Mcnamara, Danielle
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Short answer grading with sentence similarity and a few given grades
Desmarais, Michel
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Bakhtiari, Arman
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Kuichua, Ovide
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Temfack, Samira Chiny Folefack
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Nerguizian, Chahe
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Toward Sufficient Statistical Power in Algorithmic Bias Assessment: A Test for ABROCA
Borchers, Conrad
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Understanding Predictive Models of Student Success with a Multiverse Analysis
Tang, Yunxuan
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Harvey, Emma
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Yao, Chengyuan
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Yu, Renzhe
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Kizilcec, Rene
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Brooks, Christopher
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Using Survival Analysis to Identify the Factors that Mitigate Attrition among Adult Learners with Low Literacy Skills in an ITS-based Literacy Program
Shi, Genghu
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Peng, Shun
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Greenberg, Daphne
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Frijters, Jan
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Graesser, Arthur
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What is a Step? A User Study on How to Sub-divide the Solution Process of Introductory Python Tasks
Dannath, Jesper
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Deriyeva, Alina
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Paassen, Benjamin
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srcML-DKT: Enhancing Deep Knowledge Tracing with Robust Code Representations from srcML
Pankiewicz, Maciej
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Shi, Yang
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Baker, Ryan S.
Posters and Demos
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Building Explainable Recommender System for Engineering Students Work-Integrated Learning (WIL)
Hwang, Woorin
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Li, Hongming
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Aguinalde, Anna Pauline
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Zhang, Yilin
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Shin, Jinnie
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Crippen, Kent
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Carroll, Bruce
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Can Language Models Grade Algebra Worked Solutions? Evaluating LLM-Based Autograders Against Human Grading
Bhandari, Shreya
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Pardos, Zach
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Choosing to Learn: Achievement Goals, Immersion, and Competition in Non-Educational Gaming Contexts
Farzan, Farshid
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Naiyer, Israt
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Jahan, Shaeekh Al
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Booth, Brandon M
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Coping with ADHD in College: Topic Modeling and Sentiment Analysis of Online Peer Discussions on Reddit
Jian, Sihan
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Bhowmik, Saptarshi
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Staudt Willet, Bret
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Does Student Learning Rate Depend on Feedback Type and Prior Knowledge?
Fleischer, Hendrik
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Noglik, Arne
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Borchers, Conrad
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Schanze, Sascha
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Effect estimates using publicly available school-level data in a cluster-randomized educational experiment
Sales, Adam
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Mann, Charlotte
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Gagnon-Bartsch, Johann
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Heffernan, Neil
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Evaluating Local LLMs on Japanese National University Entrance Examination Dataset in Comparison with Student Performance
Takami, Kyosuke
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Sekine, Satoshi
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Miyao, Yusuke
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Extracting Causal Relations in Deep Knowledge Tracing
Hong, Kevin
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Karbasi, Kia
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Pottie, Gregory
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Generating Competitive Distractors from Student Error Data
Braam, Myrthe
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van der Velde, Maarten
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van Rijn, Hedderik
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Implementation, Not Capabilities: How Chatbot Utilization Shapes Learners' Navigation Patterns in MOOCs
Han, Songhee
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Na, Hunhui
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Kim, Chaewon
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Just Read the Question: Enabling Generalization to New Assessment Items with Text Awareness
Khan, Arisha
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Li, Nathaniel
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Shen, Tori
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Rafferty, Anna
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LLM-supported Thematic Analysis: Evaluating GATOS Workflow on Complex Qualitative Data
Kim, Chaewon
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Ke, Fengfeng
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Zhang, Nuodi
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Barrett, Alex
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Mining for Knowledge, Not Trouble: GDPR's Impact on Educational Data Mining
Ismayilzada, Aytaj
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Saarela, Mirka
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Karimov, Ayaz
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Multi-Agent Collaborative Framework For Math Problem Generation
Karbasi, Kia
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Hong, Kevin
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Samadi, Mohammad Amin
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Pottie, Gregory
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On the Practicality of Differential Privacy for Knowledge Tracing
Kabir, Anika
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Tankala, Chandan
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Lowd, Daniel
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Predicting Course Transferability Using Deep Embeddings and Traditional Classifiers
Kim, Mark
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Raghuraman, Shreyas
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Puder, Arno
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Hayward, Craig
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Yang, Hui
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Quest-Genius: An AI-Driven Personalised Learning Platform Bridging Educational Gaps for Secondary Students - A Quasi-Experimental Study on Academic Performance, Engagement, and Equity
Prakash, Vijay
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Bansal, Rishabh
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Sharma, Sanjay
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Visualization of Solution Processes to Reach the Correct Answer in Online Math Tests
Takada, Tomoki
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Higuchi, Saburo
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Nakamura, Yasuyuki
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Who to Help? A Time-Slice Analysis of K-12 Teachers' Decisions in Classes with AI-Supported Tutoring
Jin, Qiao
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Borchers, Conrad
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Fancsali, Stephen
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Aleven, Vincent
Doctoral Consortium
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Accelerating Practical Knowledge Sharing in Teachers' Communities with Human-aware Artificial Intelligence
Xinyi, He
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Concept Drift Detection for Knowledge Tracing
Lee, Morgan
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Heffernan, Neil
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Investigating Cognitive Strategies in a Mental Rotation Task using Eye Tracking Heat Maps
Khanikar, Kabyashree
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Scaffolding AI Literacy Through Student-AI Collaboration in Chatbot Development
Zhang, Shan
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Botelho, Anthony F.
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When LLMs Hallucinate: Examining the Effects of Erroneous Feedback in Math Tutoring Systems
Steinbach, Marlene
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Bhandari, Shreya
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Meyer, Jennifer
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Pardos, Zach
Workshops and Tutorials
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2nd Workshop on Educational Data Mining in Writing and Literacy Instruction
Lynch, Collin
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Deane, Paul
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Mitros, Piotr
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Gao, Zhikai
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Babalola, Damilola
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9th Educational Data Mining in Computer Science Education (CSEDM) Workshop
Akram, Bita
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Shi, Yang
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Brusilovsky, Peter
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Price, Thomas
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Koedinger, Ken
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Carvalho, Paulo
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Zhang, Shan
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Lan, Andrew
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Leinonen, Juho
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Applying DebiasEd: A Package for Mitigating Unfairness in Educational Data
Cock, Jade
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Stinar, Frank
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Kizilcec, Rene
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Kaser, Tanja
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Bringing Generative Artificial Intelligence (GenAI) to Education
Li, Hang
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Yang, Kaiqi
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Chu, Yucheng
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Tang, Jiliang
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CausalEDM: Linking Innovations in Instructional Design and the Complex Behaviors that Underlie Learning Processes and Outcomes
Vanacore, Kirk
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Botelho, Anthony F.
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Closer, Avery
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Sales, Adam
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Heffernan, Neil
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Interactive Workshop: Multimodal, Multiparty Learning Analytics (MMLA)
Foltz, Peter
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Biswas, Gautam
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D'Mello, Sidney
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Leveraging KOALA for Programming Data Collection: A Half-Day Tutorial for Research Application
Karol, Daniil
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Vlasov, Ilya
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Dzialets, Katsiaryna
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Potriasaeva, Anna
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Birillo, Anastasiia
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The 2nd Human-Centric eXplainable AI in Education (HEXED) Workshop
Swamy, Vinitra
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Kuzilek, Jakub
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Pinto, Juan
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Paquette, Luc
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Kaser, Tanja
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Liu, Qianhui Sophie
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Cohausz, Lea
Industry Track
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A Bias-Aware Deep Learning Framework for Hierarchical Microcredential Classification
Alam, Mohammad Arif Ul
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Verma, Geeta
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Jhong, Eumie
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Barber, Justin
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Biswas, Ashis Kumer
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Practical Evaluation of Deep Knowledge Tracing Models for use in Learning Platforms
Yamkovenko, Bogdan
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Hogg, Charles
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Miller-Vedam, Maya
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Grimaldi, Phillip
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Wells, Walt
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Preserving the integrity of study behaviour in online retrieval practice using quantified learner dynamics
van der Velde, Maarten
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Krambeer, Malte
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van Rijn, Hedderik