Sessions

Affective Computing

Monday, July 15, 11:00-12:30
Room 222
Session Chair: Jacob Whitehill

• 162 Andres Felipe Zambrano, Nidhi Nasiar, Jaclyn Ocumpaugh, Alex Goslen, Jiayi Zhang, Jonathan Rowe, Jordan Esiason, Jessica Vandenberg and Stephen Hutt Says Who? How different ground truth measures of emotion impact student affective modeling (Paper)
• JEDM-6 Kirk Vanacore, Ashish Gurung, Adam Sales, Neil Heffernan Effect of Gamification on Gamers: Evaluating Interventions for Students Who Game the System (Paper)
• 170 Andres Felipe Zambrano, Ryan S. Baker, Sami Baral, Neil Heffernan and Andrew Lan From Reaction to Anticipation: Predicting Future Affect86 Bledar Fazlija Feeling the Difficulty of Mathematics (Paper)
• 132 Celestine Akpanoko, Ashwin T S, Grayson Cordell and Gautam Biswas Investigating the relations between students’ affective states and the coherence in their activities in Open-Ended Learning Environments (Paper)
• 164* Robin Jephthah Rajarathinam, Christian Palaguachi and Jina Kang Enhancing Multimodal Learning Analytics: A Comparative Study of Facial Feature Capture Using Traditional vs 360-Degree Cameras in Collaborative Learning (Video, Paper)

Large language models in education (A)

Monday, July 15, 11:00-12:30
Room 236
Session Chair: Stephen Hutt

• 123* David Joyner, Zoey Anne Beda, Michael Cohen, Melanie Duffin, Amy Garcia Fernandez, Liz Hayes-Golding, Rebecca Johnson, Jonathan Hildreth, Alex Houk, Kayla Matchek and Ana Santos When Chatting Isn’t Cheating: Mining and Evaluating Student Use of Chatbots and Other Resources During Open-Internet Exams (Paper)
• 69 Fernando Martinez, Gary Weiss, Miguel Palma, Haoran Xue, Alexander Borelli and Yijun Zhao GPT vs. Llama2: Which Comes Closer to Human Writing? (Video, Paper)
• 194 Jionghao Lin, Eason Chen, Feifei Han, Ashish Gurung, Danielle R Thomas, Wei Tan, Ngoc Dang Nguyen and Kenneth Koedinger How Can I Improve? Using GPT to Highlight the Desired and Undesired Parts of Open-ended Responses (Video, Paper)157 Hongming Li, Seiyon Lee and Anthony F. Botelho This Paper Was Written with the Help of ChatGPT: Exploring the Consequences of AI-Driven Academic Writing on Scholarly Practices (Video, Paper)
• 88 Chengyuan Liu, Jialin Cui, Ruixuan Shang, Qinjin Jia, Parvez Rashid and Edward Gehringer Generative AI for Peer Assessment Helpfulness Evaluation (Paper)

Large language models in education (B)

Monday, July 15, 13:30-15:30
Room 236
Session Chair: Scott Crossley

• JEDM-2 Jacob Whitehill, Jennifer LoCasale-Crouch Automated Evaluation of Classroom Instructional Support with LLMs and BoWs: Connecting Global Predictions to Specific (Paper)
• 52 Joy He-Yueya, Noah Goodman and Emma Brunskill Evaluating and Optimizing Educational Content with Large Language Model Judgments (Video, Paper)
• 129 Qinjin Jia, Jialin Cui, Ruijie Xi, Haoze Du, Chengyuan Liu, Parvez Rashid, Ruochi Li and Edward Gehringer On Assessing the Faithfulness of System-generated Feedback on Student Assignments (Video, Paper)
• 51* Owen Henkel, Zach Levonian, Chenglu Li and Millie Postle Retrieval-augmented Generation to Improve Math Question-Answering: Trade-offs Between Groundedness and Human Preference (Video, Paper)
• 15* Bilal Ghanem and Alona Fyshe DISTO: Evaluating Textual Distractors for Multiple Choice Questions using a Negative Sampling based Approach (Video, Paper)
• 166* Shreya Singhal, Andres Felipe Zambrano, Maciej Pankiewicz, Xiner Liu, Chelsea Porter and Ryan S. Baker De-Identifying Student Personally Identifying Information with GPT-4 (Paper)
• 134 Jiayi Zhang, Conrad Borchers, Vincent Aleven and Ryan S. Baker Using Large Language Models to Detect Self-regulated Learning in Think-aloud Protocols (Paper)

Learning analytics and recommender systems

Monday, July 15, 13:30-15:30
Room 222
Session Chair: Atsushi Shimada

• 151* Benny Johnson, Jeff Dittel and Rachel Van Campenhout Investigating Student Ratings with Features of Automatically Generated Questions: A Large-Scale Analysis using Data from Natural Learning Contexts (Paper)
• 98* Conrad Borchers, Yinuo Xu and Zachary A. Pardos Are You an Early Dropper or Late Shopper? Mining Enrollment Transaction Data to Study Procrastination in Higher Education (Video, Paper)
• JEDM-5 Md Akib Zabed Khan, Agoritsa Polyzou Session-based Methods for Course Recommendation (Paper)
• 109 Ayaz Karimov, Mirka Saarela, Tommi Kärkkäinen and Sabina Aghayeva Principals’ use of data analytics in Finnish schools (Video, Paper)
• 85 Yiqiu Zhou and Luc Paquette Investigating Student Interest in a Minecraft Game-Based Learning Environment: A Changepoint Detection Analysis (Video, Paper)
• 176 Paras Sharma, Angela E.B. Stewart, Qichang Li, Krit Ravichander and Erin Walker Building Learner Activity Models From Log Data Using Sequence Mapping and Hidden Markov Models (Paper)
• 77 Wenhao Wang, Fuzheng Zhao, Etsuko Kumamoto and Chengjiu Yin A page jump recommendation model and result interpretation based on structured annotation methods (Video, Paper)

Poster Session A

Monday, July 15, 16:30-18:00

• 12    Student Answer Forecasting: Transformer-Driven Answer Choice Prediction for Language Learning (Paper)
• 24    Examining the Influence of Varied Levels of Domain Knowledge Base Inclusion in GPT-based Intelligent Tutors (Paper)
• 30    Uncovering the Evolution of Topics about AI Painting: Dynamic Topic Modeling of 180k Discourse Data in an Online Community (Paper)
• 41    Tracking Classroom Movement Patterns with Person Re-Id (Paper)
• 49    Fair Prediction of Students’ Summative Performance Changes Using Online Learning Behavior Data (Paper)
• 55   Automated Scoring of Learners’ Annotations of Multiple Digital Texts (Paper)
• 70    Navigating the Sky Together: Investigating Collaboration Dynamics through Annotation in an Immersive Learning Environment (Paper)
• 89    Relation of Linguistic Indicators to Civic Engagement in Special Education (Paper)
• 94    Automated Assessment in Math Education: A Comparative Analysis of LLMs for Open-Ended Responses (Paper)
• 105    Evaluating Algorithmic Bias in Models for Predicting Academic Performance of Filipino Students (Paper)
• 110    Prioritizing the Indicators of Effective Inclusive Education Assessment Framework using TOPSIS Analysis for children with Disabilities: A Case of Delhi (Paper)
• 122    Towards Modeling Learner Performance with Large Language Models (Paper)
• 127    Can Large Language Models Replicate ITS Feedback on Open-Ended Math Questions? (Paper)
• 135    Be back in 5 minutes: Exploring correlations between short breaks with student performance (Video, Paper)
• 141    Predicting Cognitive Load Using Sensor Data in a Literacy Game (Paper)
• 200    Same Learning Platform, Different Types of Research: A National-Level Analysis (Paper)
• 213    Prompting as Panacea? A Case Study of In-Context Learning Performance for Qualitative Coding of Classroom Dialog (Paper)
• 237    Identifying Off-Task Users in a Large-Scale, Game-Based Practice Assessment (Paper)
• 243    Easing the Prediction of Student Dropout for everyone by integrating AutoML and Explainable Artificial Intelligence (Paper)
• 245    LLM-generated Feedback in Real Classes and Beyond: Perspectives from Students and Instructors (Paper)
• 259    Complex Conversations: LLMs vs. Knowledge Engineered Conversation-based Assessment (Paper)
• 261    Enhancing the Accuracy of Predicting Students Grades in Open-Ended Questions through Adjustments to Attention Weights (Paper)
• 264    Tailored analysis of dropout in UBA distance postgraduate courses: first results (Video, Paper)
• 266    Explainability in Educational Data Mining and Learning Analytics: An Umbrella Review (Paper)
• 293    Math Multiple Choice Question Generation via Human-Large Language Model Collaboration (Paper)
• 295    Auditing an Automatic Grading Model with Reinforcement Learning (Paper)
• DC 13  Advancing High School Dropout Predictions Using Machine Learning
• DC 260  Identifying and Evaluating Novel Knowledge Component Models for Programming Skills (Paper)
• DC 265 Optimizing Human Learning under a Reinforcement Learning framework (Paper)
• DC 284 Challenge of Challenges: Examining the Impact of Difficulty Sequencing on Mastery Learning in Math (Paper)
• DC 286 Building Predictive Models for CS Students Help-Seeking Behaviors with Coding Log Data (Paper)

Industry Track

Tuesday, July 16, 11:30-12:30
Room 222

• 6 Jeffrey Matayoshi, Eric Cosyn, Christopher Lechuga and Hasan Uzun. An Evaluation of a Placement Assessment for an Adaptive Learning System (Paper)
• 9 Lief Esbenshade, Jonathan Vitale and Ryan Baker. Non-Overlapping Leave Future Out Validation (NOLFO): Implications for Graduation Prediction (Paper)
• 209 Andrew Emerson, Arti Ramesh, Patrick Houghton, Vinay Basheerabad, Navaneeth Jawahar and Chee Wee Leong. Multimodal, Multi-Class Bias Mitigation for Predicting Speaker Confidence (Video, Paper)
• 239 Mohammad Arif Ul Alam, Madhavi Pagare, Susan Davis, Geeta Verma, Ashis Biswas and Justin Barber. Empowering Predictions of the Social Determinants of Mental Health through Large Language Model Augmentation in Students’ Lived Experiential Essays (Video, Paper)

Reinforcement Learning/Pedagogical Agents

Tuesday, July 16, 11:30-12:30
Room 236
Session Chair: tba

• 202 Nazia Alam, Behrooz Mostafavi, Sutapa Dey Tithi, Min Chi and Tiffany Barnes How Much Training is Needed? Reducing Training Time using Deep Reinforcement Learning in an Intelligent Tutor (Video, Paper)
• 150 Bahar Radmehr, Adish Singla and Tanja Käser Towards Generalizable Agents in Text-Based Educational Environments: A Study of Integrating RL with LLMs (Video, Paper)
• 102 Md Mirajul Islam, Xi Yang, John Hostetter, Adittya Soukarjya Saha and Min Chi A Generalized Apprenticeship Learning Framework for Modeling Heterogeneous Student Pedagogical Strategies (Video, Paper)

Knowledge Tracing and Curricula

Tuesday, July 16, 13:30-15:30
Room 236
Session Chair: Yang Shi

• 21 Denis Shchepakin, Sreecharan Sankaranarayanan and Dawn Zimmaro Parametric Constraints for Bayesian Knowledge Tracing from First Principles (Video, Paper)
• 153 Napol Rachatasumrit, Paulo Carvalho and Kenneth Koedinger Beyond Accuracy: Embracing Meaningful Parameters in Educational Data Mining (Paper)
• 64 Yiyao Li, Lu Wang, Jung Jae Kim, Chor Seng Tan and Ye Luo On the Selection of Positive and Negative Samples for Contrastive Math Word Problem Neural Solver (Video, Paper)
• 63 Ying Zhang, Yan Zhang, Wei Xu, Zhifeng Wang and Jianwen Sun SingPAD: A Knowledge Tracing Dataset Based on Music Performance Assessment (Video, Paper)
• 145 Meng Cao, Philip Pavlik Jr., Wei Chu and Liang Zhang Integrating Attentional Factors and Spacing in Logistic Knowledge Tracing Models to Explore the Impact of Training Sequences on Category Learning (Video, Paper)
• 48 Gyuhun Jung, Markel Sanz Ausin, Tiffany Barnes and Min Chi More, May not the Better: Insights from Applying Deep Reinforcement Learning for Pedagogical Policy Induction (Video, Paper)
• JEDM-7 Avery Harrison Closer, Anthony F. Botelho, Jenny Yun-Chen Chan Exploring the Impact of Symbol Spacing and Problem Sequencing on Arithmetic Performance: An Educational Data Mining Approach (Paper)

Collaborative Learning

Tuesday, July 16, 16:00-18:00
Room 236
Session Chair: Jina Kang

• 90* Conrad Borchers, Kexin Yang, Jionghao Lin, Nikol Rummel, Kenneth R. Koedinger and Vincent Aleven Combining Dialog Acts and Skill Modeling: What Chat Interactions Enhance Learning Rates During AI-Supported Peer Tutoring? (Video, Paper)
• 138* Videep Venkatesha, Abhijnan Nath, Ibrahim Khebour, Avyakta Chelle, Mariah Bradford, Jingxuan Tu, James Pustejovsky, Nathaniel Blanchard and Nikhil Krishnaswamy Propositional Extraction from Natural Speech in Small Group Collaborative Tasks (Video, Paper)
• 76* Jiani Wang, Shiran Dudy, Xinlu He, Zhiyong Wang, Rosy Southwell and Jacob Whitehill Speaker Diarization in the Classroom: How Much Does Each Student Speak in Group Discussions? (Video, Paper)
• 174 Yuya Asano, Diane Litman, Quentin King-Shepard, Tristan Maidment, Tyree Langley, Teresa Davison, Timothy Nokes-Malach, Adriana Kovashka and Erin Walker What metrics of participation balance predict outcomes of collaborative learning with a robot better? (Video, Paper)
• 154 Hongming Li, Shan Zhang, Seiyon Lee, Ji-Eun Lee, Zirui Zhong, Erik Weitnauer and Anthony F. Botelho Math in Motion: Analyzing Real-Time Student Collaboration in Computer-Supported Learning Environments (Video, Paper)
• 117 Sören Rüttgers, Ulrike Kuhl, Benjamin Paaßen Automatic Matchmaking in two-versus-two sports (Video, Paper)
• 130* Nhat Tran, Richard Correnti, Lindsay Clare Matsumura, Benjamin Pierce and Diane Litman Analyzing Large Language Models for Classroom Discussion Assessment (Video, Paper)

Prediction and Supervised Learning

Tuesday, July 16, 16:00-18:00
Room 222
Session Chair: Christopher Brooks

• 32 Yijun Zhao, Zhengxin Qi, Son Tung Do, John Grossi, Jee Hun Kang and Gary Weiss Predicting GRE Scores from Application Materials in Test-Optional Admissions (Video, Paper)
• 20 Chenguang Pan and Zhou Zhang Examining the Algorithmic Fairness in Predicting High School Dropouts (Video, Paper)
• 121 Scott Crossley, Yu Tian, Joon Suh Choi, Langdon Holmes and Wesley Morris Plagiarism Detection Using Keystroke Logs (Video, Paper)
• 108 Jade Maï Cock, Hugues Saltini, Haoyu Sheng, Riya Ranjan, Richard Davis and Tanja Käser Investigation of Behavioural Differences: Uncovering Behavioral Sources of Demographic Bias in Educational Algorithms (Video, Paper)
• 183 Halim Acosta, Seung Lee, Bradford Mott, Haesol Bae, Krista Glazewski, Cindy Hmelo-Silver and James Lester Multimodal Analytics for Predicting Student Collaboration Satisfaction in Collaborative Game-Based Learning (Video, Paper)
• 71 Or Goren, Liron Cohen and Amir Rubinstein Early Prediction of Student Dropout in Higher Education using Machine Learning Models (Video, Paper)
• 101 Yuma Miyazaki, Valdemar Švábenský, Yuta Taniguchi, Fumiya Okubo, Tsubasa Minematsu and Atsushi Shimada E2Vec: Feature Embedding with Temporal Information for Analyzing Student Actions in E-Book Systems (Video, Paper)

Computer Science Education (A)

Wednesday, July 17, 11:30-12:30
Room 236
Session Chair: Kathryn Cunningham

• IAALDE* Toni V. Earle-Randell, Joseph B. Wiggins, Julianna Martinez Ruiz, Mehmet Celepkolu, Kristy Elizabeth Boyer, Collin F. Lynch, Maya Israel, Eric Wiebe Confusion, Conflict, Consensus: Modeling Dialogue Processes during Collaborative Learning with Hidden Markov Models (Paper)
• 46 Yang Shi, Min Chi, Tiffany Barnes and Thomas Price Evaluating Multi-Knowledge Component Interpretability of Deep Knowledge Tracing Models in Programming (Video, Paper)
• 126 Zhikai Gao, Gabriel Silva de Oliveira, Damilola Babalola, Collin Lynch and Sarah Heckman Who should I help next? Simulation of office hours queue scheduling strategy in a CS2 course (Video, Paper)
• 66 Manh Hung Nguyen, Sebastian Tschiatschek and Adish Singla Large Language Models for In-Context Student Modeling: Synthesizing Student’s Behavior in Visual Programming (Video, Paper)

Research Practices (A)

Wednesday, July 17, 11:30-12:30
Room 222
Session Chair: John Stamper

• 133 Charlotte Mann, Jiaying Wang, Adam Sales and Johann Gagnon-Bartsch Using Publicly Available Auxiliary Data to Improve Precision of Treatment Effect Estimation in a Randomized Efficacy Trial (Paper)
• 80 Duy Pham, Kirk Vanacore, Adam Sales and Johann Gagnon-Bartsch LOOL: Towards Personalization with Flexible & Robust Estimation of Heterogeneous Treatment Effects (Video, Paper)
• 36 Ryan S. Baker, Stephen Hutt, Christopher A. Brooks, Namrata Srivastava and Caitlin Mills Open Science and Educational Data Mining: Which Practices Matter Most? (Paper)
• 53 Aswani Yaramala, Soheila Farokhi and Hamid Karimi Navigating the Data-Rich Landscape of Online Learning: Insights and Predictions from ASSISTments (Paper)

Computer Science Education (A)

Wednesday, July 17, 13:30-15:00
Room 236
Session Chair: Jeremy Roschelle

• 44 Yunsung Kim, Jadon Geathers and Chris Piech Grading and Clustering Student Programs That Produce Probabilistic Output (Video, Paper)
• 50 Mehmet Arif Demirtas, Max Fowler and Kathryn Cunningham Reexamining Learning Curve Analysis in Programming Education: The Value of Many Small Problems (Video, Paper)
• 57 Muhammad Fawad Akbar Khan, Max Ramsdell, Erik Falor and Hamid Karimi Assessing the Promise and Pitfalls of ChatGPT for Automated CS1-driven Code Generation (Video, Paper)
• 29 Kaden Hart, Christopher Warren, Seth Poulsen and John Edwards Phone Use While Programming (Video, Paper)
• JEDM-1 Yang Shi, Robin Schmucker, Keith Tran, John Bacher, Kenneth Koedinger, Thomas Price, Min Chi, Tiffany Barnes The Knowledge Component Attribution Problem for Programming: Methods and Tradeoffs with Limited Labeled Data (Paper)

Research Practices (B)

Wednesday, July 17, 13:30-15:00
Room 222
Session Chair: Mingyu Feng

• JEDM-4 John Stamper, Philip I. Pavlik Jr., Steven Moore, Kenneth Koedinger, Carolyn P. Rosé LearnSphere: A Learning Data and Analytics Cyberinfrastructure (Paper)
• JEDM-3 Frank Stinar, Zihan Xiong, Nigel Bosch An Approach to Improve k-Anonymization Practices in Educational Data Mining (Paper)
• 118 Jaylin Lowe, Charlotte Mann, Jiaying Wang, Adam Sales and Johann Gagnon-Bartsch Power Calculations for Randomized Controlled Trials with Auxiliary Observational Data (Paper)
• 47 Golnaz Arastoopour Irgens, Ibrahim Adisa, Deepika Sistla, Tolulope Famaye, Cinamon Bailey, Atefeh Behboudi and Adenike Adefisayo Promoting Theory-Building in Design-Based Research through Data-Based Models (Paper)
• 82 Adam Sales, Kirk Vanacore, Hyeon-Ah Kang and Tiffany Whittaker Problem-Solving Types and EdTech Effectiveness: A Model for Exploratory Causal Analysis (Paper)
• 92 Mary Ann Simpson, Kole Norberg and Stephen Fancsali Replicating an “Astonishing Regularity in Student Learning Rates” (Paper)

Poster Session B

Wednesday, July 17, 16:00-17:30

• 11    Mining Epistemic Actions of Programming Problem Solving with Chat-GPT (Video, Paper)
• 23    The Construction and Analysis of Course Grades Across Public Universities (Paper)
• 27    Making Course Recommendation Explainable: A Knowledge Entity-Aware Model using Deep Learning (Paper)
• 28    How Ready Are Generative Pre-trained Large Language Models for Explaining Bengali Grammatical Errors? (Paper)
• 56    Examining LLM Prompting Strategies for Automatic Evaluation of Learner-Created Computational Artifacts (Paper)
• 78    Determining Perceived Text Complexity: An Evaluation of German Sentences Through Student Assessments (Paper)
• 81    Strategic Interface Design Can Improve Learning Efficiency in an Intelligent Tutoring System (Paper)
• 99    Social Network and Self-representation in Megathread: Group Formation in a Data Science Crowdsourcing Community (Paper)
• 144    The Cleaned Repository of Annotated Personally Identifiable Information (Paper)
• 148    Semantic Similarity of Teacher and Student Discourse Linked to Quality Ratings from Classroom Observations (Paper)
• 149    How Hard can this Question be? An Exploratory Analysis of Features Assessing Question Difficulty using LLMs (Paper)
• 161    It’s All About the Prompt: Deductive Coding’s Role in AI vs. Human Performance (Paper)
• 201    Cultural Diversity in Team Conversations: A Deep Dive into its Effects on Cohesion and Team Performance (Paper)
• 206    An Exploratory Analysis of Students’ Problem-Solving Strategies in the Water Cycle Game (Paper)
• 238    EduQuest: Lecture Texts and Questions for Higher Education (Paper)
• 263    Predicting Response Time of Questions Using Linear Mixed-effects Model (Video, Paper)
• 267    Comparing Clustering Methods in Group-level Test Collusion Detection (Video, Paper)
• 270    Ethical Educational Data Processing Differences of Students with Special Needs in Post-Soviet Countries (Paper)
• 272    FlexEval: a customizable tool for chatbot performance evaluation and dialogue analysis (Paper)
• 274    Uncertainty-preserving deep knowledge tracing with state-space models (Paper)
• 278    Comparative Analysis of Student Performance Predictions in Online Courses using Heterogeneous Knowledge Graphs (Video, Paper)
• 280    Investigating the Dynamic Change of Pre- and In-service Teachers’ Experiences, Attitudes, and Perceptions through CS Autobiography Using Topic Modeling (Paper)
• 283    Exploring Simultaneous Knowledge and Behavior Tracing (Paper)
• 292    Interpreting Latent Student Knowledge Representations in Programming Assignments (Paper)
• 294    Generating Feedback-Ladders for Logical Errors in Programming using Large Language Models (Paper)
• DC 241  Exploring the Capabilities of Prompted Large Language Models in Educational and Assessment Applications (Paper)
• DC 275 Intrinsically Interpretable Artificial Neural Networks For Learner Modeling (Paper)
• DC 277 Designing simulated student to emulate learner activity data in an open-ended learning environment (Paper)
• DC 281 Boosting Precision in Educational A/B Tests Using Auxiliary Information and Design-Based Estimators (Paper)
• DC 285 Developing Explainable AI Systems to Support Feedback for Students (Paper)
• DC 290  Evaluating the Effectiveness of Hints and Explanations Across Schools with Different Student Demographics