Long Papers
- DISTO: Evaluating Textual Distractors for Multiple Choice Questions using a Negative Sampling based Approach – Bilal Ghanem and Alona Fyshe
- Parametric Constraints for Bayesian Knowledge Tracing from First Principles – Denis Shchepakin, Sreecharan Sankaranarayanan and Dawn Zimmaro
- Predicting GRE Scores from Application Materials in Test-Optional Admissions – Yijun Zhao, Zhengxin Qi, Son Tung Do, John Grossi, Jee Hun Kang and Gary Weiss
- Grading and Clustering Student Programs That Produce Probabilistic Output – Yunsung Kim, Jadon Geathers and Chris Piech
- Reexamining Learning Curve Analysis in Programming Education: The Value of Many Small Problems – Mehmet Arif Demirtas, Max Fowler and Kathryn Cunningham
- Evaluating and Optimizing Educational Content with Large Language Model Judgments – Joy He-Yueya, Noah Goodman and Emma Brunskill
- Assessing the Promise and Pitfalls of ChatGPT for Automated CS1-driven Code Generation – Muhammad Fawad Akbar Khan, Max Ramsdell, Erik Falor and Hamid Karimi
- On the Selection of Positive and Negative Samples for Contrastive Math Word Problem Neural Solver – Yiyao Li, Lu Wang, Jung Jae Kim, Chor Seng Tan and Ye Luo
- GPT vs. Llama2: Which Comes Closer to Human Writing? – Fernando Martinez, Gary Weiss, Miguel Palma, Haoran Xue, Alexander Borelli and Yijun Zhao
- Combining Dialog Acts and Skill Modeling: What Chat Interactions Enhance Learning Rates During AI-Supported Peer Tutoring? – Conrad Borchers, Kexin Yang, Jionghao Lin, Nikol Rummel, Kenneth R. Koedinger and Vincent Aleven
- A Generalized Apprenticeship Learning Framework for Modeling Heterogeneous Student Pedagogical Strategies – Md Mirajul Islam, Xi Yang, John Hostetter, Adittya Soukarjya Saha and Min Chi
- When Chatting Isn’t Cheating: Mining and Evaluating Student Use of Chatbots and Other Resources During Open-Internet Exams – David Joyner, Zoey Anne Beda, Michael Cohen, Melanie Duffin, Amy Garcia Fernandez, Liz Hayes-Golding, Jonathan Hildreth, Alex Houk, Rebecca Johnson, Kayla Matchek and Ana Santos
- Using Large Language Models to Detect Self-Regulated Learning in Think-Aloud Protocols – Jiayi Zhang, Conrad Borchers, Vincent Aleven and Ryan S. Baker
- Propositional Extraction from Natural Speech in Small Group Collaborative Tasks – Videep Venkatesha, Abhijnan Nath, Ibrahim Khebour, Avyakta Chelle, Mariah Bradford, Jingxuan Tu, James Pustejovsky, Nathaniel Blanchard and Nikhil Krishnaswamy
- Towards Generalizable Agents in Text-Based Educational Environments: A Study of Integrating RL with LLMs – Bahar Radmehr, Adish Singla and Tanja Käser
- Investigating Student Ratings with Features of Automatically Generated Questions: A Large-Scale Analysis using Data from Natural Learning Contexts – Benny Johnson, Jeff Dittel and Rachel Van Campenhout
- Beyond Accuracy: Embracing Meaningful Parameters in Educational Data Mining – Napol Rachatasumrit, Paulo Carvalho and Kenneth Koedinger
- Says Who? How different ground truth measures of emotion impact student affective modeling – Andres Felipe Zambrano, Nidhi Nasiar, Jaclyn Ocumpaugh, Alex Goslen, Jiayi Zhang, Jonathan Rowe, Jordan Esiason, Jessica Vandenberg and Stephen Hutt
- Multimodal Learning Analytics for Predicting Student Collaboration Satisfaction in Collaborative Game-Based Learning – Halim Acosta, Seung Lee, Bradford Mott, Haesol Bae, Krista Glazewski, Cindy Hmelo-Silver and James Lester
- How Can I Improve? Using GPT to Highlight the Desired and Undesired Parts of Open-ended Responses – Jionghao Lin, Eason Chen, Feifei Han, Ashish Gurung, Danielle R Thomas, Wei Tan, Ngoc Dang Nguyen and Kenneth Koedinger
- How Much Training is Needed? Reducing Training Time using Deep Reinforcement Learning in an Intelligent Tutor – Nazia Alam, Behrooz Mostafavi, Sutapa Dey Tithi, Min Chi and Tiffany Barnes
Industry & Short Papers
- An Evaluation of a Placement Assessment for an Adaptive Learning System – Jeffrey Matayoshi, Eric Cosyn, Christopher Lechuga and Hasan Uzun
- Non-Overlapping Leave Future Out Validation (NOLFO): Implications for Graduation Prediction – Lief Esbenshade, Jonathan Vitale and Ryan Baker
- Examining the Algorithmic Fairness in Predicting High School Dropouts – Chenguang Pan and Zhou Zhang
- Phone Use While Programming – Kaden Hart, Christopher Warren, Seth Poulsen and John Edwards
- Open Science and Educational Data Mining: Which Practices Matter Most? – Ryan S. Baker, Stephen Hutt, Christopher A. Brooks, Namrata Srivastava and Caitlin Mills
- Evaluating Multi-Knowledge Component Interpretability of Deep Knowledge Tracing Models in Programming – Yang Shi, Min Chi, Tiffany Barnes and Thomas Price
- Promoting Theory-Building in Design-Based Research through Data-Based Models – Golnaz Arastoopour Irgens, Ibrahim Adisa, Deepika Sistla, Tolulope Famaye, Cinamon Bailey, Atefeh Behboudi and Adenike Adefisayo
- More, May not the Better: Insights from Applying Deep Reinforcement Learning for Pedagogical Policy Induction – Gyuhun Jung, Markel Sanz Ausin, Tiffany Barnes and Min Chi
- Retrieval-augmented Generation to Improve Math Question-Answering: Trade-offs Between Groundedness and Human Preference – Owen Henkel, Zach Levonian, Chenglu Li and Millie Postle
- Navigating the Data-Rich Landscape of Online Learning: Insights and Predictions from ASSISTments – Aswani Yaramala, Soheila Farokhi and Hamid Karimi
- SingPAD: A Knowledge Tracing Dataset Based on Music Performance Assessment – Ying Zhang, Yan Zhang, Wei Xu, Zhifeng Wang and Jianwen Sun
- Large Language Models for In-Context Student Modeling: Synthesizing Student’s Behavior in Visual Programming – Manh Hung Nguyen, Sebastian Tschiatschek and Adish Singla
- Early Prediction of Student Dropout in Higher Education using Machine Learning Models – Or Goren, Liron Cohen and Amir Rubinstein
- Speaker Diarization in the Classroom: How Much Does Each Student Speak in Group Discussions? – Jiani Wang, Shiran Dudy, Xinlu He, Zhiyong Wang, Rosy Southwell and Jacob Whitehill
- A page jump recommendation model and result interpretation based on structured annotation methods – Wenhao Wang, Etsuko Kumamoto and Chengjiu Yin
- LOOL: Towards Personalization with Flexible & Robust Estimation of Heterogeneous Treatment Effects – Duy Pham, Kirk Vanacore, Adam Sales and Johann Gagnon-Bartsch
- Problem-Solving Types and EdTech Effectiveness: A Model for Exploratory Causal Analysis – Adam Sales, Kirk Vanacore, Hyeon-Ah Kang and Tiffany Whittaker
- Investigating Student Interest in a Minecraft Game-Based Learning Environment: A Changepoint Detection Analysis – Yiqiu Zhou and Luc Paquette
- Feeling the Difficulty of Mathematics – Bledar Fazlija
- Generative AI for Peer Assessment Helpfulness Evaluation – Chengyuan Liu, Jialin Cui, Ruixuan Shang, Qinjin Jia, Parvez Rashid and Edward Gehringer
- Replicating an “Astonishing Regularity in Student Learning Rates” – Mary Ann Simpson, Kole Norberg and Stephen Fancsali
- Are You an Early Dropper or Late Shopper? Mining Enrollment Transaction Data to Study Procrastination in Higher Education – Conrad Borchers, Yinuo Xu and Zachary A. Pardos
- E2Vec: Feature Embedding with Temporal Information for Analyzing Student Actions in E-Book Systems – Yuma Miyazaki, Valdemar Švábenský, Yuta Taniguchi, Fumiya Okubo, Tsubasa Minematsu and Atsushi Shimada
- Investigation of Behavioural Differences: Uncovering Behavioral Sources of Demographic Bias in Educational Algorithms – Jade Maï Cock, Hugues Saltini, Haoyu Sheng, Riya Ranjan, Richard Davis and Tanja Käser
- Principals’ use of data analytics in Finnish schools – Ayaz Karimov, Mirka Saarela, Tommi Kärkkäinen and Sabina Aghayeva
- Automatic Matchmaking in two-versus-two sports – Sören Rüttgers, Ulrike Kuhl and Benjamin Paaßen
- Power Calculations for Randomized Controlled Trials with Auxiliary Observational Data – Jaylin Lowe, Charlotte Mann, Jiaying Wang, Adam Sales and Johann Gagnon-Bartsch
- Plagiarism Detection Using Keystroke Logs – Scott Crossley, Yu Tian, Joon Suh Choi, Langdon Holmes and Wesley Morris
- Who Should I Help Next? Simulation of Office Hours Queue Scheduling Strategy in a CS2 Course – Zhikai Gao, Gabriel Silva de Oliveira, Damilola Babalola, Collin Lynch and Sarah Heckman
- On Assessing the Faithfulness of LLM-generated Feedback on Student Assignments – Qinjin Jia, Jialin Cui, Ruijie Xi, Chengyuan Liu, Parvez Rashid, Ruochi Li and Edward Gehringer
- Analyzing Large Language Models for Classroom Discussion Assessment – Nhat Tran, Richard Correnti, Lindsay Clare Matsumura, Benjamin Pierce and Diane Litman
- Investigating the relations between students’ affective states and the coherence in their activities in Open-Ended Learning Environments – Celestine Akpanoko, Ashwin T S, Grayson Cordell and Gautam Biswas
- Using Publicly Available Auxiliary Data to Improve Precision of Treatment Effect Estimation in a Randomized Efficacy Trial – Charlotte Mann, Jiaying Wang, Adam Sales and Johann Gagnon-Bartsch
- Integrating Attentional Factors and Spacing in Logistic Knowledge Tracing Models to Explore the Impact of Train-ing Sequences on Category Learning – Meng Cao, Philip Pavlik Jr., Wei Chu and Liang Zhang
- Math in Motion: Analyzing Real-Time Student Collaboration in Computer-Supported Learning Environments – Hongming Li, Shan Zhang, Seiyon Lee, Ji-Eun Lee, Zirui Zhong, Erik Weitnauer and Anthony F. Botelho
- This Paper Was Written with the Help of ChatGPT: Exploring the Consequences of AI-Driven Academic Writing on Scholarly Practices – Hongming Li, Seiyon Lee and Anthony F. Botelho
- Enhancing Multimodal Learning Analytics: A Comparative Study of Facial Feature Capture Using Traditional vs 360-Degree Cameras in Collaborative Learning – Robin Jephthah Rajarathinam, Christian Palaguachi and Jina Kang
- De-Identifying Student Personally Identifying Information with GPT-4 – Shreya Singhal, Andres Felipe Zambrano, Maciej Pankiewicz, Xiner Liu, Chelsea Porter and Ryan S. Baker
- From Reaction to Anticipation: Predicting Future Affect – Andres Felipe Zambrano, Ryan S. Baker, Sami Baral, Neil Heffernan and Andrew Lan
- What metrics of participation balance predict outcomes of collaborative learning with a robot? – Yuya Asano, Diane Litman, Quentin King-Shepard, Tristan Maidment, Tyree Langley, Teresa Davison, Timothy Nokes-Malach, Adriana Kovashka and Erin Walker
- Building Learner Activity Models From Log Data Using Sequence Mapping and Hidden Markov Models – Paras Sharma, Angela E.B. Stewart, Qichang Li, Krit Ravichander and Erin Walker
- Multimodal, Multi-Class Bias Mitigation for Predicting Speaker Confidence – Andrew Emerson, Arti Ramesh, Patrick Houghton, Vinay Basheerabad, Navaneeth Jawahar and Chee Wee Leong
- Empowering Predictions of the Social Determinants of Mental Health through Large Language Model Augmentation in Students’ Lived Experiential Essays – Mohammad Arif Ul Alam, Madhavi Pagare, Susan Davis, Geeta Verma, Ashis Biswas and Justin Barber
Posters & Demos
- Mining Epistemic Actions of Programming Problem Solving with Chat-GPT – Rwitajit Majumdar, Prajish Prasad and Aamod Sane
- Student Answer Forecasting: Transformer-Driven Answer Choice Prediction for Language Learning – Elena Grazia Gado, Tommaso Martorella, Luca Zunino, Paola Mejia-Domenzain, Vinitra Swamy, Jibril Frej and Tanja Käser
- Connecting Blinks to Constructs: How are We Arguing for Validity in Multimodal Learning Analytics? – Gahyun Sung and Hanall Sung
- The Construction and Analysis of Course Grades Across Public Universities – Hyun Jeong, Gary M. Weiss, Audrey Leung and Daniel D. Leeds
- Examining the Influence of Varied Levels of Domain Knowledge Base Inclusion in GPT-based Intelligent Tutors – Blake Castleman and Mehmet Kerem Turkcan
- Making Course Recommendation Explainable: A Knowledge Entity-Aware Model using Deep Learning – Tianyuan Yang, Baofeng Ren, Boxuan Ma, Md Akib Zabed Khan, Tianjia He and Shin’Ichi Konomi
- How Ready Are Generative Pre-trained Large Language Models for Explaining Bengali Grammatical Errors? – Subhankar Maity, Aniket Deroy and Sudeshna Sarkar
- Uncovering the Evolution of Topics about AI Painting: Dynamic Topic Modeling of 180k Discourse Data in an Online Community – Shiyao Wei and Ran Bi
- Tracking Classroom Movement Patterns with Person Re-Id – Xinlu He, Jiani Wang, Viet Anh Trinh, Andrew McReynolds and Jacob Whitehill
- Fair Prediction of Students’ Summative Performance Changes Using Online Learning Behavior Data – Zifeng Liu, Xinyue Jiao, Chenglu Li and Wanli Xing
- AUTOMATED SCORING OF LEARNERS’ ANNOTATIONS OF MULTIPLE DIGITAL TEXTS – Alexandra List
- Examining LLM Prompting Strategies for Automatic Evaluation of Learner-Created Computational Artifacts – Xiaoyi Tian, Amogh Mannekote, Carly E. Solomon, Yukyeong Song, Christine Fry Wise, Tom Mcklin, Joanne Barrett, Kristy Elizabeth Boyer and Maya Israel
- Navigating the Sky Together: Investigating Collaboration Dynamics through Annotation in an Immersive Learning Environment – Yiqiu Zhou, Philo Wang and Jina Kang
- Determining Perceived Text Complexity: An Evaluation of German Sentences Through Student Assessments – Boris Thome, Friederike Hertweck and Stefan Conrad
- Strategic Interface Design Can Improve Learning Efficiency in an Intelligent Tutoring System – Sutapa Dey Tithi, Behrooz Mostafavi, Arun Kumar Ramesh and Tiffany Barnes
- Relation of Linguistic Indicators to Civic Engagement in Special Education – Chak Li, Scott Crossley, Meghan Burke and Zach Rossetti
- Automated Assessment in Math Education: A Comparative Analysis of LLMs for Open-Ended Responses – Sami Baral, Eamon Worden, Wen-Chiang Lim, Zhuang Luo, Christopher Santorelli, Ashish Gurung and Neil Heffernan
- Social Network and Self-representation in Megathread: Group Formation in a Data Science Crowdsourcing Community – Shiyao Wei and Ran Bi
- Evaluating Algorithmic Bias in Models for Predicting Academic Performance of Filipino Students – Valdemar Švábenský, Mélina Verger, Maria Mercedes T. Rodrigo, Clarence James G. Monterozo, Ryan S. Baker, Miguel Zenon Nicanor Lerias Saavedra, Sébastien Lallé and Atsushi Shimada
- Prioritizing the Indicators of Effective Inclusive Education Assessment Framework using TOPSIS Analysis for children with Disabilities: A Case of Delhi. – Umesh Kumar and Haimanti Banerji
- Towards Modeling Learner Performance with Large Language Models – Seyed Parsa Neshaei, Richard Davis, Adam Hazimeh, Bojan Lazarevski, Pierre Dillenbourg and Tanja Käser
- Can Large Language Models Replicate ITS Feedback on Open-Ended Math Questions? – Hunter McNichols, Jaewook Lee, Stephen Fancsali, Steve Ritter and Andrew Lan
- Be back in 5 minutes: Exploring correlations between short breaks with student performance – Yu-Chia Kao and Anthony Botelho
- Predicting Cognitive Load Using Sensor Data in a Literacy Game – Minghao Cai and Carrie Demmans Epp
- The Cleaned Repository of Annotated Personally Identifiable Information – Langdon Holmes, Scott Crossley, Jiahe Wang and Weixuan Zhang
- Semantic Similarity of Teacher and Student Discourse Linked to Quality Ratings from Classroom Observations – Jessica Boyle and Scott Crossley
- How Hard can this Question be? An Exploratory Analysis of Features Assessing Question Difficulty using LLMs – Andreea Dutulescu, Stefan Ruseti, Mihai Dascalu and Danielle Mcnamara
- It’s All About the Prompt: Deductive Coding’s Role in AI vs. Human Performance – Jeanne McClure, Daria Smyslova, Amanda Hall and Shiyan Jiang
- The Early Bird Gets the Grade: Student Use of Class Time for Ed-Tech Practice Predicts Learning – Ashish Gurung, Jionghao Lin, Zhongtian Huang, Ryan S. Baker, Vincent Aleven and Kenneth Koedinger
- Same Learning Platform, Different Types of Research: A National-Level Analysis – Nidhi Nasiar, Ryan S. Baker, J. M. Alexandra Andres and Namrata Srivastava
- Cultural Diversity in Team Conversations: A Deep Dive into its Effects on Cohesion and Team Performance – Mohammad Amin Samadi and Nia Nixon
- An Exploratory Analysis of Students’ Problem-Solving Strategies in the Water Cycle Game – Jing Zhang and Luc Paquette
- Prompting as Panacea? A Case Study of In-Context Learning Performance for Qualitative Coding of Classroom Dialog – Ananya Ganesh, Chelsea Chandler, Sidney D’Mello, Martha Palmer and Katharina Kann
- Identifying Off-Task Users in a Large-Scale, Game-Based Practice Assessment – Matthew Emery, David Laing, Philip Simmons, Jacob Seybert, Katrina Yu, Erica Snow and Jack Buckley
- EduQuest: Lecture Texts and Questions for Higher Education – Oliver Holl, Filipe Szolnoky Cunha, David Streuli and Timothé Laborie
- Easing the Prediction of Student Dropout for everyone by integrating AutoML and Explainable Artificial Intelligence – Pamela Buñay-Guisñan, Juan Alfonso Lara, Alberto Cano, Rebeca Cerezo and Cristóbal Romero
- LLM-generated Feedback in Real Classes and Beyond: Perspectives from Students and Instructors – Qinjin Jia, Jialin Cui, Haoze Du, Parvez Rashid, Ruijie Xi, Ruochi Li and Edward Gehringer
- Complex Conversations: LLMs vs. Knowledge Engineered Conversation-based Assessment – Carol Forsyth, Diego Zapata-Rivera, Edith Aurora Graf and Yang Jiang
- Enhancing the Accuracy of Predicting Students Grades in Open-Ended Questions through Adjustments to Attention Weights – Masaki Koike, Hirokazu Kohama, Tsubasa Hirakawa, Takayoshi Yamashita and Hironobu Fujiyoshi
- Predicting Response Time of Questions Using Linear Mixed-effects Model – Luyao Peng
- Tailored analysis of dropout in UBA distance postgraduate courses: first results – Antonio R. Anaya, Pablo M. Gómez and Ariel Lutenberg
- Explainability in Educational Data Mining and Learning Analytics: An Umbrella Review – Sachini Gunasekara and Mirka Saarela
- Comparing Clustering Methods in Group-level Test Collusion Detection – Luyao Peng
- Ethical Educational Data Processing Differences of Students with Special Needs in Post-Soviet Countries – Ayaz Karimov, Mirka Saarela and Tommi Kärkkäinen
- FlexEval: a customizable tool for chatbot performance evaluation and dialogue analysis – S. Thomas Christie, Baptiste Moreau-Pernet, Yu Tian and John Whitmer
- Uncertainty-preserving deep knowledge tracing with state-space models – Thomas Christie, Carson Cook and Anna Rafferty
- Comparative Analysis of Student Performance Predictions in Online Courses using Heterogeneous Knowledge Graphs – Thomas Trask, Michael Boyle, Ahmed Ali Abdo Abdullah Mubarak, David Joyner and Nick Lytle
- Investigating the Dynamic Change of Pre- and In-service Teachers’ Experiences, Attitudes, and Perceptions through CS Autobiography Using Topic Modeling – Shan Zhang, Hai Li, Hongming Li, Anthony F. Botelho and Maya Israel
- Exploring Simultaneous Knowledge and Behavior Tracing – Siqian Zhao and Sherry Sahebi
- Interpreting Latent Student Knowledge Representations in Programming Assignments – Nigel Fernandez and Andrew Lan
- Math Multiple Choice Question Generation via Human-Large Language Model Collaboration – Jaewook Lee, Digory Smith, Simon Woodhead and Andrew Lan
- Generating Feedback-Ladders for Logical Errors in Programming using Large Language Models – Hasnain Heickal and Andrew Lan
- Auditing an Automatic Grading Model with Reinforcement Learning – Aubrey Condor and Zachary Pardos