Session Level Program

Fairness, Privacy, and Ethics
Room F130 10:15 – 11:15
Chair: Alexandra I. Cristea

  • Long – Fairness of Bayesian Knowledge Tracing for Math Learners of Different Reading Ability – Frank Stinar, Haejin Lee, Clara Belitz, Nidhi Nasiar, Stephen Fancsali, Steve Ritter, Husni Almoubayyed, Ryan Baker, Jaclyn Ocumpaugh, Nigel Bosch
  • Short – Toward Sufficient Statistical Power in Algorithmic Bias Assessment: A Test for ABROCA – Conrad Borchers
  • Long – Privacy-Preserving Distributed Link Predictions Among Peers in Online Classrooms Using Federated Learning – Anurata Hridi, Muntasir Hoq, Rajeev Sahay, Seyyedali Hosseinalipour, Zhikai Gao, Collin Lynch, Bita Akram

Data Mining & Learning Analytics
Room F150 10:15 – 11:15
Chair: Andrew Olney

  • Long – Analysis of Students’ Attempts Trajectories in Learning Programming – Idir Saïdi, Nicolas Durand, Frédéric Flouvat
  • Short – What is a Step? A User Study on How to Sub‑divide the Solution Process of Introductory Python Tasks – Jesper Dannath, Alina Deriyeva, Benjamin Paassen
  • Long – Comparison of Data Imputation Performance in Deep Generative Models for Educational Tabular Missing Data – Wan Chong Choi, Chan Tong Lam, António José Mende

LLMs for Data Analysis and Student Modeling
Room F130 11:45 – 13:15
Chair: Tanya Nazaretsky

  • Long – Bridging the Data Gap: Using LLMs to Augment Datasets for Text Classification – Seyed Parsa Neshaei, Richard Lee Davis, Paola Mejia‑Domenzain, Tanya Nazaretsky, Tanja Käser
  • Long – Using Large Multimodal Models to Extract Knowledge Components for Knowledge Tracing from Multimedia Question Information – Hyeongdon Moon, Richard Lee Davis, Seyed Parsa Neshaei, Pierre Dillenbourg
  • Long – KCluster: An LLM‑based Clustering Approach to Knowledge Component Discovery – Yumou Wei, Paulo Carvalho, John Stamper
  • Short – Objective Metrics for Evaluating Large Language Models Using External Data Sources – Haoze Du, Richard Li, Ed Gehringer
  • Short – Enhancing LLM-Based Short Answer Grading with Retrieval-Augmented Generation – Yucheng Chu, Peng He, Hang Li, Haoyu Han, Kaiqi Yang, Yu Xue, Tingting Li, Joseph Krajcik, Jiliang Tang

LLMs and Human‑AI Interaction
Room F150 11:45 – 13:15
Chair: Zach Pardos

  • Long – A LLM‑Powered Automatic Grading Framework with Human‑Level Guidelines Optimization – Yucheng Chu, Hang Li, Kaiqi Yang, Harry Shomer, Yasemin Copur‑Gencturk, Leonora Kaldaras, Kevin Haudek, Joseph Krajcik, Namsoo Shin, Hui Liu, Jiliang Tang
  • Long – Examining the Role of LLM‑Driven Interactions on Attention and Cognitive Engagement in Virtual Classrooms – Süleyman Özdel, Can Sarpkaya, Efe Bozkir, Hong Gao, Enkelejda Kasneci
  • Long – Improving Course Recommendation Systems with Explainable AI: LLM‑Based Frameworks and Evaluations – Jiawei Li, Qianru Lyu, Wei Qiu, Andy W. H. Khong
  • Short – Comparing Human Roleplayers and LLM-Simulated Clients in Online Counselling Training: An Analysis of Counselling Patterns – Eric Rudolph, Philipp Steigerwald, Jens Albrecht
  • Short – Improving Generative AI Student Feedback: Direct Preference Optimization with Teachers in the Loop – Juliette Woodrow, Chris Piech, Sanmi Koyejo

Doctoral Consortium
Room F160 11:45 – 13:15

Data Mining & Learning Analytics
Room F130 14:30 – 15:30
Chair: Tanja Käser

  • [JEDM] Long – Developing a Feedback Taxonomy for Math: A Synergy of Perspectives through Data Mining Methods – Seiyon Lee, Sami Baral, Hongming (Chip) Li, Li Cheng, Shan Zhang, Carly Siegel Thorp, Jennifer St. John, Tamisha Thompson, Neil Heffernan, Anthony F. Botelho
  • Short – Heterogeneous Treatment Effects of Learning Analytics Dashboards: Do All Learners Benefit Equally? – Aylin Ozturk, Robin Schmucker, Tom Mitchell, Alper Tolga Kumtepe
  • Dataset Prize Award Talk: PERSUADE (Persuasive Essays for Rating, Selecting, and Understanding Argumentative and Discourse Elements) – L Burleigh, The Learning Agency

Discourse
Room F150 14:30 – 15:30
Chair: Giora Alexandron

  • Long – Multimodal Assessment of Classroom Discourse Quality: A Text‑Centered Attention‑Based Multi‑Task Learning Approach – Ruikun Hou, Babette Bühler, Tim Fütterer, Efe Bozkir, Peter Gerjets, Ulrich Trautwein, Enkelejda Kasneci
  • Short – Linguistic Features Predicting Math Word Problem Readability Among Less‑Skilled Readers – Kole Norberg, Husni Almoubayyed, Stephen Fancsali
  • Long – Improving the Generalizability of Models of Collaborative Discourse – Chelsea Chandler, Rohit Raju, Jason G. Reitman, William R. Penuel, Monica Ko, Jeffrey B. Bush, Quentin Biddy, Sidney K. D’Mello

Predictive Analytics and Data Exploration
Room F160 14:30 – 15:30
Chair: Luc Paquette

  • Long – Ranking‑Based At‑Risk Student Prediction Using Federated Learning and Differential Features – Shunsuke Yoneda, Valdemar Švábenský, Gen Li, Daisuke Deguchi, Atsushi Shimada
  • Long – A Comparison of Real‑Time User Classification Methods Using Interaction Data for Open‑Ended Learning – Rohit Murali, Cristina Conati, David Poole

Curriculum, Course Design & Recommendation Systems
Room F130 10:15 – 11:15
Chair: Paola Mejia

  • Short – Integrated Curriculum Analytics: Bridging Structure, Pass Rates, and Student Outcomes – Ahmad Slim, Chaouki Abdallah, Elisha Allen, Ameer Slim
  • Short – A Holistic Recommendation System for Higher Education Academic Activities – Rafael Alves da Silva, Lucas Nascimento Ferreira
  • Long – An Efficient Linearized Optimization Framework for Designing Balanced and Efficient Degree Plans – Ahmad Slim, Chaouki Abdallah, Ameer Slim

Teaching Practices & Feedback
Room F150 10:15 – 11:15
Chair: Anna Rafferty

  • Short – Humanizing Automated Programming Feedback: Fine‑Tuning Generative Models with Student‑Written Feedback – Victor‑Alexandru Pădurean, Tung Phung, Nachiket Kotalwar, Michael Liut, Juho Leinonen, Paul Denny, Adish Singla
  • Short – Natural Language‑Driven Teacher Gesture Recognition – Yu Xiong, Shengyi Chen, Ting Cai, Lulu Chen, Jun Li
  • Long – Towards Actionable Pedagogical Feedback: A Multi‑Perspective Analysis of Mathematics Teaching and Tutoring Dialogue – Jannatun Naim, Jie Cao, Fareen Tasneem, Jennifer Jacobs, Brent Milne, James Martin, Tamara Sumner

Learning Behavior Analysis
Room F130 11:45 – 13:15
Chair: Anthony Botelho

  • Short – Math Content Readability, Student Reading Ability, and Behavior Associated with Gaming the System in Adaptive Learning Software – Pranjli Khanna, Kaleb Mathieu, Kole Norberg, Husni Almoubayyed, Stephen Fancsali
  • Long – Automated Visual Attention Detection using Mobile Eye Tracking in Behavioral Classroom Studies – Efe Bozkir, Christian Kosel, Tina Seidel and Enkelejda Kasneci
  • Short – Data-Knowledge-Driven Automatic Discovery of Teacher Classroom Teaching Behavior Indicator Categories – Ting Cai, Qingyuan Tang, Yu Xiong and Lu Zhang
  • Long –A Constraints-Based Approach to Fully Interpretable Neural Networks for Detecting Learner Behaviors – Juan Pinto and Luc Paquette
  • Short – Assistant for the detection of potential cheating behavior in synchronous online programming exams – Francisco Ortin, Alonso Gago, Jose Quiroga and Miguel Garcia

Knowledge Tracing & Student Modeling
Room F150 11:45 – 13:15
Chair: Ken Koedinger

  • Short – Evolutionary Features for Mitigating Cold Starts in Logistic Knowledge Tracing – Philip I. Pavlik Jr. and Luke Eglington
  • Long – Evaluating multidimensional extensions of the Elo rating systems for tracking ability in online learning environments – Hanke Vermeiren, Abe Hofman and Maria Bolsinova
  • Short – How much mastery is enough mastery? The relationship between mastery in a lesson and the performance on the subsequent lesson – Jiayi Zhang, Kirk Vanacore, Ryan S. Baker, Nabil Ch, Caitlin Mills and Owen Henkel
  • Long – Are You Doubtful? Oh, It Might Be Difficult Then! Exploring the Use of Model Uncertainty for Question Difficulty Estimation – Leonidas Zotos, Hedderik van Rijn and Malvina Nissim
  • Short – srcML-DKT: Enhancing Deep Knowledge Tracing with Robust Code Representations from srcML – Maciej Pankiewicz, Yang Shi and Ryan S. Baker

Predictive Modeling & Student Success
Room F130 14:30 – 15:30
Chair: Nigel Bosch

  • Long – Predicting Student Success with Heterogeneous Graph Deep Learning and Machine Learning Models – Anca Muresan, Mihaela Cardei, Ionut Cardei
  • Long [JEDM] Using a Randomized Experiment to Compare Mastery Learning Thresholds – Jeffrey Matayoshi, Eric Cosyn, Hasan Uzun, Eyad Kurd‑Misto
  • Long [JEDM] Predicting Perceived Text Complexity: The Role of Person-Related Features in Profile-Based Models — Boris Thome, Friederike Hertweck, Stefan Conrad

Engagement, Motivation, & Misconceptions
Room F150 14:30 – 15:30
Chair: Stephen Hutt

  • Long – Starting Seatwork Earlier as a Valid Measure of Student Engagement – Ashish Gurung, Jionghao Lin, Zhongtian Huang, Conrad Borchers, Ryan Baker, Vincent Aleven, Kenneth Koedinger
  • Long – The Half‑Life of Epistemic Emotions: How Motivation Influences Affective Chronometry – Andres Felipe Zambrano, Jaclyn Ocumpaugh, Ryan S. Baker, Kirk Vanacore, Jordan Esiason, Jessica Vandenberg
  • Long – Automated Identification of Logical Errors in Programs: Advancing Scalable Analysis of Student Misconceptions – Muntasir Hoq, Ananya Rao, Reisha Jaishankar, Krish Piryani, Nithya Janapati, Jessica Vandenberg, Bradford Mott, Narges Norouzi, James Lester and Bita Akram

Industry Papers
Room F160 14:30 – 15:30
Chair: Yang Jiang

  • Industry – Practical Evaluation of Deep Knowledge Tracing Models for Use in Learning Platforms – Bogdan Yamkovenko, Charles Hogg, Maya Miller‑Vedam, Phillip Grimaldi, Walt Wells
  • Industry – A Bias-Aware Deep Learning Framework for Hierarchical Microcredential Classification – Mohammad Arif Ul Alam, Geeta Verma, Eumie Jhong, Justin Barber and Ashis Kumer Biswas
  • Industry – Preserving the integrity of study behaviour in online retrieval practice using quantified learner dynamics – Maarten van der Velde, Malte Krambeer and Hedderik van Rijn

Assessing Responses and Strategies
Room F130 09:00 – 10:00
Chair: Adam Sales

  • Short – Short answer grading with sentence similarity and a few given grades – Michel Desmarais, Arman Bakhtiari, Ovide Kuichua, Samira Chiny Folefack Temfack, Chahe Nerguizian
  • Long – Nonstandard English and the Automated Scoring of Open‑Ended Math Problems – Abubakir Siedahmed, Jaclyn Ocumpaugh, Zelda Ferris, Dinesh Kodwani, Neil Heffernan, Eamon Worden
  • Short – One Model to Score Them All: Unified Scoring of Learning Strategies with LLMs – Andreea Dutulescu, Stefan Ruseti, Mihai Dascalu, Danielle Mcnamara

Eye‑tracking & NLP Techniques
Room F150 09:00 – 10:00
Chair: Maria Mercedes (Didith) Rodrigo

  • Short – Multi‑Stage Speaker Diarization for Noisy Classrooms – Ali Sartaz Khan, Tolulope Ogunremi, Ahmed Attia, Dorottya Demszky
  • Long – Using Webcam‑Based Eye Tracking During a Learning Task to Understand Neurodivergence – Grace Jaiyeola, Aaron Wong, Richard Bryck, Caitlin Mills, Stephen Hutt
  • Short – From Discourse to Dynamics: Understanding Team Interactions Through Temporally Sensitive NLP – Seehee Park, Danielle Shariff, Mohammad Amin Samadi, Nia Nixon, Sidney D’Mello

Intelligent Tutoring Systems
Room F130 10:00 – 11:00
Chair: Neil Heffernan

  • Long – Fully Latent Principal Stratification with Misspecified Measurement Models in Intelligent Tutoring Systems – Yanping Pei, Adam Sales, Hyeon‑Ah Kang, Tiffany Whittaker
  • [JEDM] Long – Evaluating the Effects of Assignment Report Usage on Student Outcomes in an Intelligent Tutoring System: A Randomized‑Encouragement Design – Wen Chiang Lim, Neil T. Heffernan, Adam Sales
  • Short – Using Survival Analysis to Identify the Factors that Mitigate Attrition Among Adult Learners with Low Literacy Skills in an ITS‑based Literacy Program – Genghu Shi, Shun Peng, Daphne Greenberg, Jan Frijters, Arthur Graesser

Predictive Analytics and Data Exploration
Room F150 10:00 – 11:00
Chair: Michel Desmarais

  • Long – Human-crafted Features in Machine Learning Increase Trust but Risk Over-reliance – Liang Tang and Nigel Bosch
  • Long/JEDM – A Multi‑View Predictive Student Modeling Framework with Interpretable Causal Graph Discovery for Collaborative Learning Analytics – Halim Acosta, Seung Lee, Daeun Hong, Wookhee Min, Bradford Mott, Cindy Hmelo‑Silver, James Lester
  • Short – Understanding Predictive Models of Student Success with a Multiverse Analysis – Yunxuan Tang, Emma Harvey, Chengyuan Yao, Renzhe Yu, Rene Kizilcec and Christopher Brooks

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