EDM Program Schedule: Educational Data Mining 2026-

Please see the full Festival of Learning program schedule for information on all concurrent events.

For individual presentation times, please see the session information at the bottom of this page

Monday, June 29

9:00-10:15	EDM #1: Process Data & Cognition
10:15-10:45	Coffee Break
10:45-12:00	EDM #2: Assessment Design
12:00-14:00	Lunch
14:00-15:15	Opening & Local Keynote Speaker: Sooinn Lee \| Co-founder & CEO, Enuma, Inc.
15:15-15:45	Coffee Break
15:45-17:00	EDM #3: Knowledge Tracing	EDM #4: Synthetic Data & Privacy	Panel Discussion
17:30-20:00	Reception

Note: Due to venue constraints, the conference will begin with concurrent presentation sessions and the Opening and Keynote will take place after the lunch break

Tuesday, June 30

9:00-10:15	L@S Keynote Speaker: Ashok Goel \| Georgia Institute of Technology
10:15-10:45	Coffee Break
10:45-12:00	EDM #5: Discourse and Inquiry
12:00-14:00	Lunch
14:00-15:15	EDM #6: Classroom Dialogue	Panel Discussion	EDM Doctoral Consortium
15:15-15:45	Coffee Break
15:45-17:00	EDM #7: Tutoring & Personalization	EDM #8: Learning Trajectories & SRL

Wednesday, July 1

9:00-10:15	EDM Keynote Speaker: Bongshin Lee \| Yonsei University
10:15-10:45	Coffee Break
10:45-12:00	EDM #9: JEDM + IAALDE I	EDM #10: Multimodal Analytics
12:00-14:00	Lunch
14:00-15:15	EDM #11: AI Methods & Metrics
15:15-15:45	Coffee Break
15:45-17:00	No EDM Sessions Scheduled – Explore Other Conference Sessions!

Thursday, July 2

9:00-10:15	AIED Keynote Speaker: Vincent Aleven \| Carnegie Mellon University
10:15-10:45	Poster Session #1	Coffee Break
10:45-12:00		EDM #12: Automated Assessment
12:00-14:00	Lunch
14:00-15:15	Poster Session #2	EDM #13: Prediction, Modeling, & Recommendation
15:15-15:45		Coffee Break
15:45-17:00		EDM #14: Language & Reading Analytics

Friday, July 3

9:00-10:15	EDM #15: JEDM + IAALDE II	EDM #16: Industry Track
10:15-10:45	Coffee Break
10:45-12:00	EDM #17: AI Evaluation in Math Learning	Panel Discussion
12:00-14:00	Lunch
14:00-15:15	EDM #18: Student Modeling	EDM #19: Programming & Learner Simulation
15:15-15:45	Coffee Break
15:45-17:00	Closing

EDM Sessions and Presentations

EDM #1: Process Data & Cognition \| Monday June 29 @9:00-10:15
@9:00 \| Stability and Contextual Sensitivity of Keystroke Process Features in Longitudinal Student Writing Portfolios Damilola Babalola, Naga Buddarapu, Piotr Mitros, Paul Deane and Collin Lynch @9:25 \| Leveraging Privileged Multimodal Data to Model Cognitive States in an Interactive Learning Platform Deniz Sonmez Unal, Theresa Mowad, Catherine Arrington, Erin Solovey and Erin Walker @9:50 \| To What Extent Do Keystroke Dynamics Differentiate Correct from Incorrect Problem Solving Oscar Deho, Ryan Baker, Digory Smith and Simon Woodhead

EDM #1: Process Data & Cognition | Monday June 29 @9:00-10:15

@9:00 | Stability and Contextual Sensitivity of Keystroke Process Features in Longitudinal Student Writing Portfolios
Damilola Babalola, Naga Buddarapu, Piotr Mitros, Paul Deane and Collin Lynch

@9:25 | Leveraging Privileged Multimodal Data to Model Cognitive States in an Interactive Learning Platform
Deniz Sonmez Unal, Theresa Mowad, Catherine Arrington, Erin Solovey and Erin Walker

@9:50 | To What Extent Do Keystroke Dynamics Differentiate Correct from Incorrect Problem Solving
Oscar Deho, Ryan Baker, Digory Smith and Simon Woodhead

EDM #2: Assessment Design \| Monday June 29 @10:45-12:00
@10:45 \| The Cognitive Cost of Poor Item Design: How Item-Writing Flaws Shape Response Time and Difficulty Across Assessment Domains Steven Moore @11:10 \| Toward LLM-supported Automated Assessment of Critical Thinking Subskills Marisa Peczuh, Nischal Ashok Kumar, Ryan Baker, Blair Lehman, Danielle Eisenberg, Caitlin Mills, Payu Wittawatolarn, Kushaan Naskar, Keerthi Chebrolu, Sudhip Nashi, Cadence Young, Brayden Liu, Sherry Lachman and Andrew Lan @11:35 \| Measuring Math or Mouse Skills? Behavioral Dimensions and Multiple Pathways to Test-Taking Efficiency in Computer-Based Testing Xinman Liu and Eunjung Myoung

EDM #2: Assessment Design | Monday June 29 @10:45-12:00

@10:45 | The Cognitive Cost of Poor Item Design: How Item-Writing Flaws Shape Response Time and Difficulty Across Assessment Domains
Steven Moore

@11:10 | Toward LLM-supported Automated Assessment of Critical Thinking Subskills
Marisa Peczuh, Nischal Ashok Kumar, Ryan Baker, Blair Lehman, Danielle Eisenberg, Caitlin Mills, Payu Wittawatolarn, Kushaan Naskar, Keerthi Chebrolu, Sudhip Nashi, Cadence Young, Brayden Liu, Sherry Lachman and Andrew Lan

@11:35 | Measuring Math or Mouse Skills? Behavioral Dimensions and Multiple Pathways to Test-Taking Efficiency in Computer-Based Testing
Xinman Liu and Eunjung Myoung

EDM #3: Knowledge Tracing \| Monday June 29 @15:45-17:00
@15:45 \| Time as a geometric property of the latent space: An empirical study of Time-and-Order RoPE in Knowledge Tracing Willian Costa, Filipe Dwan Pereira, Gabriel Alves, André Nascimento, Luiz Rodrigues, Mario A. P. Santos, Tyagi M. Lima and Rafael Ferreira Mello @16:10 \| Fair When Sparse, Accurate When Rich: RL-Gated Conversational Fusion for Temporally Equitable Knowledge Tracing Fan Zhang, Rui Guo and Hai Li @16:25 \| Federated Code-Aware Knowledge Tracing for Privacy-Preserving Student Performance Forecasting Anurata Prabha Hridi, Muntasir Hoq, Seyyedali Hosseinalipour, Rajeev Sahay and Bita Akram @16:40 \| To What Extent Can Early Keystroke Patterns Predict Knowledge Gain in Mathematics Oscar Deho, Ryan Baker, Digory Smith, Jiayi Zhang and Simon Woodhead

EDM #3: Knowledge Tracing | Monday June 29 @15:45-17:00

@15:45 | Time as a geometric property of the latent space: An empirical study of Time-and-Order RoPE in Knowledge Tracing
Willian Costa, Filipe Dwan Pereira, Gabriel Alves, André Nascimento, Luiz Rodrigues, Mario A. P. Santos, Tyagi M. Lima and Rafael Ferreira Mello

@16:10 | Fair When Sparse, Accurate When Rich: RL-Gated Conversational Fusion for Temporally Equitable Knowledge Tracing
Fan Zhang, Rui Guo and Hai Li

@16:25 | Federated Code-Aware Knowledge Tracing for Privacy-Preserving Student Performance Forecasting
Anurata Prabha Hridi, Muntasir Hoq, Seyyedali Hosseinalipour, Rajeev Sahay and Bita Akram

@16:40 | To What Extent Can Early Keystroke Patterns Predict Knowledge Gain in Mathematics
Oscar Deho, Ryan Baker, Digory Smith, Jiayi Zhang and Simon Woodhead

EDM #4: Synthetic Data & Privacy \| Monday June 29 @15:45-17:00
@15:45 \| Real Enough to Matter? Implications of Synthetic Data for Reproducible Learning Analytics Elena Tiukhova, Grzegorz Meller, Dimitri Van Landuyt, Tinne De Laet, Bart Baesens and Monique Snoeck @16:10 \| Stable and Privacy-Preserving Synthetic Educational Data with Empirical Marginals: A Copula-Based Approach Gabriel Diaz Ramos, Lorenzo Luzi, Debshila Basu Mallick and Richard Baraniuk @16:35 \| Utility-Preserving De-Identification for Math Tutoring: Investigating Numeric Ambiguity in the MathEd-PII Benchmark Dataset Zhuqian Zhou, Kirk Vanacore, Bakhtawar Ahtisham, Doug Pietrzak, Daryl Hedley, Jorge Dias, Jinsook Lee, René Kizilcec, Chris Shaw and Ruth Schäfer

EDM #4: Synthetic Data & Privacy | Monday June 29 @15:45-17:00

@15:45 | Real Enough to Matter? Implications of Synthetic Data for Reproducible Learning Analytics
Elena Tiukhova, Grzegorz Meller, Dimitri Van Landuyt, Tinne De Laet, Bart Baesens and Monique Snoeck

@16:10 | Stable and Privacy-Preserving Synthetic Educational Data with Empirical Marginals: A Copula-Based Approach
Gabriel Diaz Ramos, Lorenzo Luzi, Debshila Basu Mallick and Richard Baraniuk

@16:35 | Utility-Preserving De-Identification for Math Tutoring: Investigating Numeric Ambiguity in the MathEd-PII Benchmark Dataset
Zhuqian Zhou, Kirk Vanacore, Bakhtawar Ahtisham, Doug Pietrzak, Daryl Hedley, Jorge Dias, Jinsook Lee, René Kizilcec, Chris Shaw and Ruth Schäfer

EDM #5: Discourse and Inquiry \| Tuesday, June 30 @10:45-12:00
@10:45 \| LLM Reasoning Predicts When Models Are Right: Evidence from Coding Classroom Discourse Bakhtawar Ahtisham, Kirk Vanacore, Zhuqian Zhou, Jinsook Lee and Rene F. Kizilcec @11:10 \| Cross-Context Urgency Detection in MOOC Forums Shreya Singhal @11:25 \| The Medium is the Message: How Lecture Q&A Channel Structure Shapes Student Questioning Meenakshi Mittal, Kaden Tang, Christopher Mach and Narges Norouzi @11:40 \| Mining how curiosity spreads in student-led online discussions Farhan Ali

EDM #5: Discourse and Inquiry | Tuesday, June 30 @10:45-12:00

@10:45 | LLM Reasoning Predicts When Models Are Right: Evidence from Coding Classroom Discourse
Bakhtawar Ahtisham, Kirk Vanacore, Zhuqian Zhou, Jinsook Lee and Rene F. Kizilcec

@11:10 | Cross-Context Urgency Detection in MOOC Forums
Shreya Singhal

@11:25 | The Medium is the Message: How Lecture Q&A Channel Structure Shapes Student Questioning
Meenakshi Mittal, Kaden Tang, Christopher Mach and Narges Norouzi

@11:40 | Mining how curiosity spreads in student-led online discussions
Farhan Ali

EDM #6: Classroom Dialogue \| Tuesday, June 30 @14:00-15:15
@14:00 \| Do interviews change participants’ behaviors?: Using log data to investigate student reactivity during data-driven classroom interview Hyeongjo Kim, Luc Paquette, Yiqiu Zhou, Qianhui Liu, Jaclyn Ocumpaugh, Andres Felipe Zambrano and Amanda Barany @14:25 \| CantoTalk: Probing Teacher Expertise From Fine-Tuned Talk Move Representations Mayank Sharma, Xinman Liu and Gordon Yeung

EDM #6: Classroom Dialogue | Tuesday, June 30 @14:00-15:15

@14:00 | Do interviews change participants’ behaviors?: Using log data to investigate student reactivity during data-driven classroom interview
Hyeongjo Kim, Luc Paquette, Yiqiu Zhou, Qianhui Liu, Jaclyn Ocumpaugh, Andres Felipe Zambrano and Amanda Barany

@14:25 | CantoTalk: Probing Teacher Expertise From Fine-Tuned Talk Move Representations
Mayank Sharma, Xinman Liu and Gordon Yeung

EDM #7: Tutoring & Personalization \| Tuesday, June 30 @15:45-17:00
@15:45 \| The Semantic Gap in Behavioral Embeddings: Why Linear Methods Fail for Educational RAG in Mathematics Ricky Gole and Jamell Dacon @16:10 \| Personalization in Educational Data Mining and Learning Analytics: A Systematic Review (2015 – 2025) Sylvio Rüdian @16:35 \| Improving Hybrid Human-AI Tutoring by Differentiating Human Tutor Roles Based on Student Needs Ashish Gurung, Ge Gao, Boyuan Guo, Alex Houk, Erin Gatz, Danielle R Thomas, Shivang Gupta, Lee Branstetter, Emma Brunskill, Vincent Aleven, Kenneth Koedinger and Jordan Gutterman

EDM #7: Tutoring & Personalization | Tuesday, June 30 @15:45-17:00

@15:45 | The Semantic Gap in Behavioral Embeddings: Why Linear Methods Fail for Educational RAG in Mathematics
Ricky Gole and Jamell Dacon

@16:10 | Personalization in Educational Data Mining and Learning Analytics: A Systematic Review (2015 – 2025)
Sylvio Rüdian

@16:35 | Improving Hybrid Human-AI Tutoring by Differentiating Human Tutor Roles Based on Student Needs
Ashish Gurung, Ge Gao, Boyuan Guo, Alex Houk, Erin Gatz, Danielle R Thomas, Shivang Gupta, Lee Branstetter, Emma Brunskill, Vincent Aleven, Kenneth Koedinger and Jordan Gutterman

EDM #8: Learning Trajectories & SRL \| Tuesday, June 30 @15:45-17:00
@15:45 \| Multi-dimensional Trajectories of Expertise in Engineering: Perspective from Epistemic Frame Theory Amit Paikrao, Vishwas Badhe, Indrayani Nishane, Jyoti Shaha, Ramkumar Rajendran and Ritayan Mitra @16:10 \| Tracing Conceptual Overgeneralization in Middle School Students’ Reasoning about Quantum Randomness Jihyun Rho, Jiwon Kim, Zeynep G. Akdemir-Beveridge and Muhsin Menekse @16:25 \| A Human-in-the-Loop Pipeline for Multi-Class SRL Classification Andreas Sebastian Kissmehl, Olga Viberg, Olov Engwall and Richard Lee Davis @16:40 \| Spatiotemporal Link Formation Prediction in Social Learning Networks Using Graph Neural Networks Ali Mohammadiasl, Bita Akram, Seyyedali Hosseinalipour and Rajeev Sahay

EDM #8: Learning Trajectories & SRL | Tuesday, June 30 @15:45-17:00

@15:45 | Multi-dimensional Trajectories of Expertise in Engineering: Perspective from Epistemic Frame Theory
Amit Paikrao, Vishwas Badhe, Indrayani Nishane, Jyoti Shaha, Ramkumar Rajendran and Ritayan Mitra

@16:10 | Tracing Conceptual Overgeneralization in Middle School Students’ Reasoning about Quantum Randomness
Jihyun Rho, Jiwon Kim, Zeynep G. Akdemir-Beveridge and Muhsin Menekse

@16:25 | A Human-in-the-Loop Pipeline for Multi-Class SRL Classification
Andreas Sebastian Kissmehl, Olga Viberg, Olov Engwall and Richard Lee Davis

@16:40 | Spatiotemporal Link Formation Prediction in Social Learning Networks Using Graph Neural Networks
Ali Mohammadiasl, Bita Akram, Seyyedali Hosseinalipour and Rajeev Sahay

EDM #9: JEDM + IAALDE I \| Wednesday, July 1 @10:45-12:00
@10:45 \| Seeing Is Solving: MLLMs, Reasoning, and Refusal in Visual Math \| Invited JEDM Presentation Ethan Croteau and Neil Heffernan @11:10 \| Using Bayesian Knowledge Tracing to Evaluate Perceptual Scaffolding and Desirable Difficulties in a Math Intervention \| Invited JEDM Presentation Puyuan Zhang, Siddhartha Pradhan, Morgan Lee, Yanping Pei, Adam Sales and Erin Ottmar @11:35 \| Understanding the Triggers and Dynamics of Socially Shared Metacognitive Regulation in Teams with Divergent Outcomes \| ICCE 2025 Best Paper Award Winner Vishwas Badhe, Ramkumar Rajendran and Chandan Dasgupta

EDM #9: JEDM + IAALDE I | Wednesday, July 1 @10:45-12:00

@10:45 | Seeing Is Solving: MLLMs, Reasoning, and Refusal in Visual Math | Invited JEDM Presentation
Ethan Croteau and Neil Heffernan

@11:10 | Using Bayesian Knowledge Tracing to Evaluate Perceptual Scaffolding and Desirable Difficulties in a Math Intervention | Invited JEDM Presentation
Puyuan Zhang, Siddhartha Pradhan, Morgan Lee, Yanping Pei, Adam Sales and Erin Ottmar

@11:35 | Understanding the Triggers and Dynamics of Socially Shared Metacognitive Regulation in Teams with Divergent Outcomes | ICCE 2025 Best Paper Award Winner
Vishwas Badhe, Ramkumar Rajendran and Chandan Dasgupta

The Journal of Educational Data Mining (JEDM)
The International Alliance to Advance Learning in the Digital Era (IAALDE)

EDM #10: Multimodal Analytics \| Wednesday, July 1 @10:45-12:00
@10:45 \| MTBU-Bench: a Multimodal Benchmark for Evaluating Video-LLMs in Teacher Behavior Understanding Zhiyi Duan, Jiangshan Guan, Lei Gao and Qianli Xing @11:10 \| TS-Interact: A Multimodal Dataset for Characterizing Classroom Teacher- and Student-Led Instructional Behaviors Weigang Lu, Yaoxuan Peng, Saisai Ye and Cunling Bian @11:25 \| Improving Speech Recognition of Named Entities in Classroom Speech with LLM Revision and Phonetic-Semantic Context Viet Anh Trinh, Xinlu He and Jacob Whitehill

EDM #10: Multimodal Analytics | Wednesday, July 1 @10:45-12:00

@10:45 | MTBU-Bench: a Multimodal Benchmark for Evaluating Video-LLMs in Teacher Behavior Understanding
Zhiyi Duan, Jiangshan Guan, Lei Gao and Qianli Xing

@11:10 | TS-Interact: A Multimodal Dataset for Characterizing Classroom Teacher- and Student-Led Instructional Behaviors
Weigang Lu, Yaoxuan Peng, Saisai Ye and Cunling Bian

@11:25 | Improving Speech Recognition of Named Entities in Classroom Speech with LLM Revision and Phonetic-Semantic Context
Viet Anh Trinh, Xinlu He and Jacob Whitehill

EDM #11: AI Methods & Metrics \| Wednesday, July 1 @14:00-15:15
@14:00 \| No Single Metric Tells the Whole Story: Interpreting Multiple Pattern Mining Metrics Andres Felipe Zambrano, Jaclyn Ocumpaugh, Ryan S. Baker, Zhanlan Wei, Xiner Liu, Hyeongjo Kim, Qianhui Liu, Jeffrey Ginger, Luc Paquette and Amanda Barany @14:25 \| Temperature and Persona Shape LLM Agent Consensus With Minimal Accuracy Gains in Qualitative Coding Conrad Borchers, Bahar Shahrokhian, Francesco Balzan, Elham Tajik, Sreecharan Sankaranarayanan and Sebastian Simon @14:50 \| Characterizing Students’ LLM Usage Behaviors and Their Association with Learning in Critical Thinking Tasks Minju Park, Ivan Orozco Vasquez and Cristina Conati

EDM #11: AI Methods & Metrics | Wednesday, July 1 @14:00-15:15

@14:00 | No Single Metric Tells the Whole Story: Interpreting Multiple Pattern Mining Metrics
Andres Felipe Zambrano, Jaclyn Ocumpaugh, Ryan S. Baker, Zhanlan Wei, Xiner Liu, Hyeongjo Kim, Qianhui Liu, Jeffrey Ginger, Luc Paquette and Amanda Barany

@14:25 | Temperature and Persona Shape LLM Agent Consensus With Minimal Accuracy Gains in Qualitative Coding
Conrad Borchers, Bahar Shahrokhian, Francesco Balzan, Elham Tajik, Sreecharan Sankaranarayanan and Sebastian Simon

@14:50 | Characterizing Students’ LLM Usage Behaviors and Their Association with Learning in Critical Thinking Tasks
Minju Park, Ivan Orozco Vasquez and Cristina Conati

EDM #12: Automated Assessment \| Thursday, July 2 @10:45-12:00
@10:45 \| Confusion-Aware Rubric Optimization for LLM-based Automated Grading Yucheng Chu, Hang Li, Kaiqi Yang, Yasemin Copur-Gencturk, Joseph Krajcik, Namsoo Shin and Jiliang Tang @11:10 \| A Three-GenAI Consensus Model for Deductive Analysis of Response Data Amruth Kumar, Renée McCauley, Bonnie MacKellar and Tammy Vandegrift @11:25 \| From Flat to Structural: Enhancing Automated Short Answer Grading with GraphRAG Yucheng Chu, Haoyu Han, Shen Dong, Hang Li, Kaiqi Yang, Yasemin Copur-Gencturk, Joseph Krajcik, Namsoo Shin and Hui Liu @11:40 \| Estimating IRT Parameters from Text via an ICC-Based Supervised and Contrastive Loss Yoshiki Hori, Takumi Itamiya, Iwao Tanuma and Emiko Yoshihara

EDM #12: Automated Assessment | Thursday, July 2 @10:45-12:00

@10:45 | Confusion-Aware Rubric Optimization for LLM-based Automated Grading
Yucheng Chu, Hang Li, Kaiqi Yang, Yasemin Copur-Gencturk, Joseph Krajcik, Namsoo Shin and Jiliang Tang

@11:10 | A Three-GenAI Consensus Model for Deductive Analysis of Response Data
Amruth Kumar, Renée McCauley, Bonnie MacKellar and Tammy Vandegrift

@11:25 | From Flat to Structural: Enhancing Automated Short Answer Grading with GraphRAG
Yucheng Chu, Haoyu Han, Shen Dong, Hang Li, Kaiqi Yang, Yasemin Copur-Gencturk, Joseph Krajcik, Namsoo Shin and Hui Liu

@11:40 | Estimating IRT Parameters from Text via an ICC-Based Supervised and Contrastive Loss
Yoshiki Hori, Takumi Itamiya, Iwao Tanuma and Emiko Yoshihara

EDM #13: Prediction, Modeling, & Recommendation \| Thursday, July 2 @14:00-15:15
@14:00 \| From Heuristics to Analytics: Forecasting Effort and Progress in Online Learning Eric S. Qiu, Danielle R Thomas, Boyuan Guo, Vincent Aleven and Conrad Borchers @14:25 \| An Ensemble Stacking with Perception-aware Meta-learning (ESPM) for Apprenticeship Dropout Prediction in France Duaa Baig, Diana Nurbakova, Sylvie Calabretto and Baba Mbaye @14:40 \| Improved Power in a Reanalysis of an ASSISTments Efficacy Trial by Leveraging Auxiliary Data Adam Sales, Kevin Huang, Mingyu Feng and Johann Gagnon-Bartsch @14:55 \| Augmenting Student Profiles and Course Attributes with Large Language Models for Course Recommendation Tianyuan Yang, Ren Baofeng, Chenghao Gu, Feike Xu, Boxuan Ma and Shinichi Konomi

EDM #13: Prediction, Modeling, & Recommendation | Thursday, July 2 @14:00-15:15

@14:00 | From Heuristics to Analytics: Forecasting Effort and Progress in Online Learning
Eric S. Qiu, Danielle R Thomas, Boyuan Guo, Vincent Aleven and Conrad Borchers

@14:25 | An Ensemble Stacking with Perception-aware Meta-learning (ESPM) for Apprenticeship Dropout Prediction in France
Duaa Baig, Diana Nurbakova, Sylvie Calabretto and Baba Mbaye

@14:40 | Improved Power in a Reanalysis of an ASSISTments Efficacy Trial by Leveraging Auxiliary Data
Adam Sales, Kevin Huang, Mingyu Feng and Johann Gagnon-Bartsch

@14:55 | Augmenting Student Profiles and Course Attributes with Large Language Models for Course Recommendation
Tianyuan Yang, Ren Baofeng, Chenghao Gu, Feike Xu, Boxuan Ma and Shinichi Konomi

EDM #14: Language & Reading Analytics \| Thursday, July 2 @15:45-17:00
@15:45 \| Engagement-Driven Differences in Acoustic Features During Online Reading Comprehension Conversations E. Margaret Perkoff, Megan Lyons, Alexandria Mulqueen, Ryan S. Baker, Alan Gee, Jaclyn Ocumpaugh, Adam Porsch, Neville Ryant, Julia Parish-Morris and Lyle Ungar @16:10 \| Exploring Temporal Dynamics Underlying Eye Gaze, EEG, and Text Characteristics during Naturalistic Reading with Multi-Level Vector Autoregression Megan Caruso, Robert Moulder, Rosy Southwell and Sidney D’Mello @16:35 \| What Do LIWC Features Capture in Multilingual Classroom Talk? A Systemic Functional Linguistic Analysis Kaycie Barron, Ananya Ganesh, Shamya Karumbaiah and Mariana Castro

EDM #14: Language & Reading Analytics | Thursday, July 2 @15:45-17:00

@15:45 | Engagement-Driven Differences in Acoustic Features During Online Reading Comprehension Conversations
E. Margaret Perkoff, Megan Lyons, Alexandria Mulqueen, Ryan S. Baker, Alan Gee, Jaclyn Ocumpaugh, Adam Porsch, Neville Ryant, Julia Parish-Morris and Lyle Ungar

@16:10 | Exploring Temporal Dynamics Underlying Eye Gaze, EEG, and Text Characteristics during Naturalistic Reading with Multi-Level Vector Autoregression
Megan Caruso, Robert Moulder, Rosy Southwell and Sidney D’Mello

@16:35 | What Do LIWC Features Capture in Multilingual Classroom Talk? A Systemic Functional Linguistic Analysis
Kaycie Barron, Ananya Ganesh, Shamya Karumbaiah and Mariana Castro

EDM #15: JEDM, IAALDE, and More \| Friday, July 3 @9:00-10:15
@9:00 \| Personalizing Second Language Learning: Integrating AI with Learner Preference, Proficiency, and Engagement \| Invited JEDM Presentation Alireza Gharahighehi, Pedro Ilídio, Sameh Said-Metwaly, Ann-Sophie Noreillie, Robbe D’hondt, Anaïs Tack, Felipe Kenji Nakano, Changsheng Chen, Ann Fastré, Lucy Van Kleunen, Helena Van Nuffel, Fien Depaepe, Wim Van Den Noortgate, Celine Vens, Piet Desmet and Frederik Cornillie @9:25 \| Embracing Mess: Reflection on How We Engage with QE \| ICQE 2025 Best Paper Award Winner Danielle P. Espino and Adaurennaya C. Onyewuenyi @9:50 \| How Do Analytic Design Choices Shape MLLM-Based Detection of Non-Verbal Behaviors in 360° Classroom Video Yiqiu Zhou, Chris Palaguachi, Jina Kang, Luc Paquette, Noah Schroeder, Zhenhailong Wang and Yuji Zhang

EDM #15: JEDM, IAALDE, and More | Friday, July 3 @9:00-10:15

@9:00 | Personalizing Second Language Learning: Integrating AI with Learner Preference, Proficiency, and Engagement | Invited JEDM Presentation
Alireza Gharahighehi, Pedro Ilídio, Sameh Said-Metwaly, Ann-Sophie Noreillie, Robbe D’hondt, Anaïs Tack, Felipe Kenji Nakano, Changsheng Chen, Ann Fastré, Lucy Van Kleunen, Helena Van Nuffel, Fien Depaepe, Wim Van Den Noortgate, Celine Vens, Piet Desmet and Frederik Cornillie

@9:25 | Embracing Mess: Reflection on How We Engage with QE | ICQE 2025 Best Paper Award Winner
Danielle P. Espino and Adaurennaya C. Onyewuenyi

@9:50 | How Do Analytic Design Choices Shape MLLM-Based Detection of Non-Verbal Behaviors in 360° Classroom Video
Yiqiu Zhou, Chris Palaguachi, Jina Kang, Luc Paquette, Noah Schroeder, Zhenhailong Wang and Yuji Zhang

The Journal of Educational Data Mining (JEDM)
The International Alliance to Advance Learning in the Digital Era (IAALDE)

EDM #16: Industry Track \| Friday, July 3 @9:00-10:15
@9:00 \| Early Prediction of Student Dropout in a Large-Scale Cram School Using Longitudinal Test Performance Data Masanori Yamada, Xuewang Geng, Ryosuke Oogushi, Kouki Nakao, Hiroyuki Iwashita, Koji Takano, Yuji Hirata, Masaki Miyazono, Hiroshi Kamio and Toshihide Tsutsui @9:25 \| Assessing Early Literacy at Scale: Format Effects in Unsupervised Digital Assessment Harriet Crisp and Amar Lalwani @9:50 \| Decoding Chinese Pinyin Keystrokes by Comparing Transcription and Composition Tasks Qizhi Xu, Zedi Lin, Zongting Ge, Mo Zhang and Mengxiao Zhu

EDM #16: Industry Track | Friday, July 3 @9:00-10:15

@9:00 | Early Prediction of Student Dropout in a Large-Scale Cram School Using Longitudinal Test Performance Data
Masanori Yamada, Xuewang Geng, Ryosuke Oogushi, Kouki Nakao, Hiroyuki Iwashita, Koji Takano, Yuji Hirata, Masaki Miyazono, Hiroshi Kamio and Toshihide Tsutsui

@9:25 | Assessing Early Literacy at Scale: Format Effects in Unsupervised Digital Assessment
Harriet Crisp and Amar Lalwani

@9:50 | Decoding Chinese Pinyin Keystrokes by Comparing Transcription and Composition Tasks
Qizhi Xu, Zedi Lin, Zongting Ge, Mo Zhang and Mengxiao Zhu

EDM #17: AI Evaluation in Math Learning \| Friday, July 3 @10:45-12:00
@10:45 \| A Causal Framework for Estimating Local Effects of On-Demand Tutoring Kirk Vanacore, Danielle R Thomas, Digory Smith, Bibi Groot, Justin Reich and Rene Kizilcec @11:10 \| Identifying Items on Which Humans and Chatbots Diverge Using Differential Item Functioning Licol Zeinfeld, Alona Strugatski, Ziva Bar-Dov, Ron Blonder, Shelley Rap and Giora Alexandron @11:25 \| Multimodal LLM-based approach for detecting Disengagement from Task Goal (DTG) in Math problem solving Nidhi Nasiar, Ryan S. Baker, Jaclyn Ocumpaugh, Zeyneb S. Sarioglan, Caitlin Mills and Samuel Rhodes @11:40 \| Simulating Learners’ Task-Selection Strategies and System Constraints in Mastery Learning Haley Noh, Aarna Chowdhary, Jeroen Ooge, Vincent Aleven and Conrad Borchers

EDM #17: AI Evaluation in Math Learning | Friday, July 3 @10:45-12:00

@10:45 | A Causal Framework for Estimating Local Effects of On-Demand Tutoring
Kirk Vanacore, Danielle R Thomas, Digory Smith, Bibi Groot, Justin Reich and Rene Kizilcec

@11:10 | Identifying Items on Which Humans and Chatbots Diverge Using Differential Item Functioning
Licol Zeinfeld, Alona Strugatski, Ziva Bar-Dov, Ron Blonder, Shelley Rap and Giora Alexandron

@11:25 | Multimodal LLM-based approach for detecting Disengagement from Task Goal (DTG) in Math problem solving
Nidhi Nasiar, Ryan S. Baker, Jaclyn Ocumpaugh, Zeyneb S. Sarioglan, Caitlin Mills and Samuel Rhodes

@11:40 | Simulating Learners’ Task-Selection Strategies and System Constraints in Mastery Learning
Haley Noh, Aarna Chowdhary, Jeroen Ooge, Vincent Aleven and Conrad Borchers

EDM #18: Student Modeling \| Friday, July 3 @14:00-15:15
@14:00 \| UNVaMP: Neural Knowledge Tracing with Variational Regularization of Latent Knowledge Dynamics Carson Cook, Ahmed Zerouali, Anthony Schmidt, Reginald Ziedzor, Paul Lin and Luke Eglington @14:25 \| A New Domain-Informed Learner Model with Uncertainty-Aware Knowledge Mastery Propagation Rania Ait Chabane, Armelle Brun and Azim Roussanaly @14:50 \| Pattern-based Knowledge Component Extraction from Student Code Using Representation Learning Muntasir Hoq, Griffin Pitts, Tirth Bhatt, Aum Pandya, Andrew Lan, Peter Brusilovsky and Bita Akram

EDM #18: Student Modeling | Friday, July 3 @14:00-15:15

@14:00 | UNVaMP: Neural Knowledge Tracing with Variational Regularization of Latent Knowledge Dynamics
Carson Cook, Ahmed Zerouali, Anthony Schmidt, Reginald Ziedzor, Paul Lin and Luke Eglington

@14:25 | A New Domain-Informed Learner Model with Uncertainty-Aware Knowledge Mastery Propagation
Rania Ait Chabane, Armelle Brun and Azim Roussanaly

@14:50 | Pattern-based Knowledge Component Extraction from Student Code Using Representation Learning
Muntasir Hoq, Griffin Pitts, Tirth Bhatt, Aum Pandya, Andrew Lan, Peter Brusilovsky and Bita Akram

EDM #19: Programming & Learner Simulation \| Friday, July 3 @14:00-15:15
@14:00 \| A Psychometric Framework for Context-Conditional Evaluation of LLM Tutoring in Programming Education Jinnie Shin, Zhe Li, Pauline Aguinalde and Laura Cruz Castro @14:25 \| Teaching Language Models How to Code Like Learners: Conversational Serialization for Student Simulation Charles Koutcheme, Juho Leinonen and Arto Hellas @14:40 \| Simulating Students’ Java Programming Errors with Large Language Models Ali Keramati, Jie Cao, Iman Mohammadi, Mark Warschauer and Yang Shi @14:55 \| Multimodal Learning Analytics for Programming: Cognitive Difficulties, Attention Dynamics, and Physiological Regulation Huiyong Li and Boxuan Ma

EDM #19: Programming & Learner Simulation | Friday, July 3 @14:00-15:15

@14:00 | A Psychometric Framework for Context-Conditional Evaluation of LLM Tutoring in Programming Education
Jinnie Shin, Zhe Li, Pauline Aguinalde and Laura Cruz Castro

@14:25 | Teaching Language Models How to Code Like Learners: Conversational Serialization for Student Simulation
Charles Koutcheme, Juho Leinonen and Arto Hellas

@14:40 | Simulating Students’ Java Programming Errors with Large Language Models
Ali Keramati, Jie Cao, Iman Mohammadi, Mark Warschauer and Yang Shi

@14:55 | Multimodal Learning Analytics for Programming: Cognitive Difficulties, Attention Dynamics, and Physiological Regulation
Huiyong Li and Boxuan Ma