EDM B

137 papers

YearTitle / Authors
20248th Educational Data Mining in Computer Science Education (CSEDM) Workshop.
Yang Shi, Peter Brusilovsky, Bita Akram, Thomas W. Price, Juho Leinonen, Kenneth R. Koedinger, Andrew S. Lan
2024A Comparative Analysis of Student Performance Predictions in Online Courses using Heterogeneous Knowledge Graphs.
Thomas Trask, Nick Lytle, Michael Boyle, David A. Joyner, Ahmed Mubarak
2024A Generalized Apprenticeship Learning Framework for Modeling Heterogeneous Student Pedagogical Strategies.
Md. Mirajul Islam, Xi Yang, John Wesley Hostetter, Adittya Soukarjya Saha, Min Chi
2024A page jump recommendation model and result interpretation based on structured annotation methods.
Wenhao Wang, Etsuko Kumamoto, Chengjiu Yin
2024An Evaluation of a Placement Assessment for an Adaptive Learning System.
Jeffrey Matayoshi, Eric Cosyn, Christopher Lechuga, Hasan Uzun
2024An Exploratory Analysis of Students' Problem-Solving Strategies in the Water Cycle Game.
Jing Zhang, Luc Paquette
2024Analyzing Large Language Models for Classroom Discussion Assessment.
Nhat Tran, Benjamin Pierce, Diane J. Litman, Richard Correnti, Lindsay Clare Matsumura
2024Are You an Early Dropper or Late Shopper? Mining Enrollment Transaction Data to Study Procrastination in Higher Education.
Conrad Borchers, Yinuo Xu, Zachary A. Pardos
2024Assessing the Promise and Pitfalls of ChatGPT for Automated CS1-driven Code Generation.
Muhammad Fawad Akbar Khan, Max Ramsdell, Erik Falor, Hamid Karimi
2024Auditing an Automatic Grading Model with deep Reinforcement Learning.
Aubrey Condor, Zachary A. Pardos
2024Automated 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
2024Automated Scoring of Students' Annotations When Learning from Multiple Texts.
Alexandra List
2024Automatic Matchmaking in Two-Versus-Two Sports.
Sören Rüttgers, Ulrike Kuhl, Benjamin Paaßen
2024Be back in 5 minutes: Exploring correlations between short breaks with student performance.
Yu-Chia Kao, Anthony Botelho
2024Beyond Accuracy: Embracing Meaningful Parameters in Educational Data Mining.
Napol Rachatasumrit, Paulo Carvalho, Kenneth R. Koedinger
2024Beyond Tutor Logs: Utilizing sensor data for measuring student behavior.
David G. Cooper
2024Boosting Precision in Educational A/B Tests Using Auxiliary Information and Design-Based Estimators.
Yanping Pei, Adam Sales, Johann Gagnon-Bartsch
2024Building Learner Activity Models From Log Data Using Sequence Mapping and Hidden Markov Models.
Paras Sharma, Angela E. B. Stewart, Qichang Li, Krit Ravichander, Erin Walker
2024Building Predictive Models for CS Students Help-Seeking Behaviors with Coding Log Data.
Zhikai Gao, Collin Lynch
2024Can Large Language Models Replicate ITS Feedback on Open-Ended Math Questions?
Hunter McNichols, Jaewook Lee, Stephen Fancsali, Steven Ritter, Andrew S. Lan
2024Causal Inference in Educational Data Mining.
Anthony F. Botelho, Avery Harrison Closser, Adam C. Sales, Neil T. Heffernan, Kirk P. Vanacore
2024Combining 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, Vincent Aleven
2024Comparing Clustering Methods in Group-level Test Collusion Detection.
Luyao Peng
2024Complex Conversations: LLM vs. Knowledge Engineering Conversation-based Assessment.
Carol M. Forsyth, Diego Zapata-Rivera, Edith Aurora Graf, Yang Jiang
2024Cultural Diversity in Team Conversations: A Deep Dive into its Effects on Cohesion and Team Performance.
Mohammad Amin Samadi, Nia Nixon
2024DISTO: Textual Distractors for Multiple Choice Reading Comprehension Questions using Negative Sampling.
Bilal Ghanem, Alona Fyshe
2024De-Identifying Student Personally Identifying Information with GPT-4.
Shreya Singhal, Andres Felipe Zambrano, Maciej Pankiewicz, Xiner Liu, Chelsea Porter, Ryan S. Baker
2024Deductive Coding's Role in AI vs. Human Performance.
Jeanne McClure, Daria Smyslova, Amanda Hall, Shiyan Jiang
2024Designing Simulated Students to Emulate Learner Activity Data in an Open-Ended Learning Environment.
Paras Sharma, Qichang Li
2024Determining Perceived Text Complexity: An Evaluation of German Sentences Through Student Assessments.
Boris Thome, Friederike Hertweck, Stefan Conrad
2024Developing Explainable AI Systems to Support Feedback for Students.
Hongming Li, Anthony F. Botelho
2024E2Vec: Feature Embedding with Temporal Information for Analyzing Student Actions in E-Book Systems.
Yuma Miyazaki, Valdemar Svábenský, Yuta Taniguchi, Fumiya Okubo, Tsubasa Minematsu, Atsushi Shimada
2024Early Prediction of Student Dropout in Higher Education using Machine Learning Models.
Or Goren, Liron Cohen, Amir Rubinstein
2024Easing the Prediction of Student Dropout for everyone integration AutoML and Explainable Artificial Intelligence.
Pamela Buñay-Guisñan, Juan Alfonso Lara, Alberto Cano, Rebeca Cerezo, Cristóbal Romero
2024EduQuest: Lecture Texts and Questions for Higher Education.
Oliver Holl, Filipe Szolnoky Cunha, David Streuli, Timothé Laborie
2024Educational Data Mining in Writing and Literacy Instruction.
Collin Lynch, Paul Deane, Piotr Mitros, Zhikai Gao, Damilola Babalola
2024Empowering 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 Kumer Biswas, Justin Barbern
2024Enhancing Multimodal Learning Analytics: A Comparative Study of Facial Features Captured Using Traditional vs 360-Degree Cameras in Collaborative Learning.
Robin Jephthah Rajarathinam, Christian Palaguachi, Jina Kang
2024Enhancing the Accuracy of Predicting Students Grades in Open-Ended Questions through Adjustments to Attention Weights.
Masaki Koike, Hirokazu Kohama, Tsubasa Hirakawa, Takayoshi Yamashita, Hironobu Fujiyoshi
2024Ethical Educational Data Processing Differences of Students with Special Needs in Post-Soviet Countries.
Ayaz Karimov, Mirka Saarela, Tommi Kärkkäinen
2024Evaluating Algorithmic Bias in Models for Predicting Academic Performance of Filipino Students.
Valdemar Svábenský, Mélina Verger, Maria Mercedes T. Rodrigo, Clarence James G. Monterozo, Ryan S. Baker, Miguel Zenon Nicanor Lerias Saavedra, Sébastien Lallé, Atsushi Shimada
2024Evaluating Multi-Knowledge Component Interpretability of Deep Knowledge Tracing Models in Programming.
Yang Shi, Min Chi, Tiffany Barnes, Thomas W. Price
2024Evaluating and Optimizing Educational Content with Large Language Model Judgments.
Joy He-Yueya, Noah D. Goodman, Emma Brunskill
2024Examining 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, Maya Israel
2024Examining the Algorithmic Fairness in Predicting High School Dropouts.
Chenguang Pan, Zhou Zhang
2024Examining the Influence of Varied Levels of Domain Knowledge Base Inclusion in GPT-based Intelligent Tutors.
Blake Castleman, Mehmet Kerem Türkcan
2024Explainability in Educational Data Mining and Learning Analytics: An Umbrella Review.
Sachini Gunasekara, Mirka Saarela
2024Exploring Simultaneous Knowledge and Behavior Tracing.
Siqian Zhao, Sherry Sahebi
2024Exploring the Capabilities of Prompted Large Language Models in Educational and Assessment Applications.
Subhankar Maity, Aniket Deroy, Sudeshna Sarkar
2024Fair Prediction of Students' Summative Performance Changes Using Online Learning Behavior Data.
Zifeng Liu, Xinyue Jiao, Chenglu Li, Wanli Xing
2024Feeling the Difficulty of Mathematics.
Bledar Fazlija
2024FlexEval: a customizable tool for chatbot performance evaluation and dialogue analysis.
S. Thomas Christie, Baptiste Moreau-Pernet, Yu Tian, John Whitmer
2024From Reaction to Anticipation: Predicting Future Affect.
Andres Felipe Zambrano, Ryan S. Baker, Sami Baral, Neil T. Heffernan, Andrew S. Lan
2024GPT vs. Llama2: Which Comes Closer to Human Writing?
Fernando Martinez, Gary M. Weiss, Miguel Palma, Haoran Xue, Alexander Borelli, Yijun Zhao
2024Generating Feedback-Ladders for Logical Errors in Programming using Large Language Models.
Hasnain Heickal, Andrew S. Lan
2024Generative AI for Peer Assessment Helpfulness Evaluation.
Chengyuan Liu, Jialin Cui, Ruixuan Shang, Qinjin Jia, M. Parvez Rashid, Edward F. Gehringer
2024Grading and Clustering Student Programs That Produce Probabilistic Output.
Yunsung Kim, Jadon Geathers, Chris Piech
2024How Can I Improve? Using GPT to Highlight the Desired and Undesired Parts of Open-ended Responses.
Jionghao Lin, Eason Chen, Zifei FeiFei Han, Ashish Gurung, Danielle R. Thomas, Wei Tan, Ngoc Dang Nguyen, Kenneth R. Koedinger
2024How Hard can this Question be? An Exploratory Analysis of Features Assessing Question Difficulty using LLMs.
Andreea-Nicoleta Dutulescu, Stefan Ruseti, Mihai Dascalu, Danielle S. McNamara
2024How Much Training is Needed? Reducing Training Time using Deep Reinforcement Learning in an Intelligent Tutor.
Nazia Alam, Behrooz Mostafavi, Sutapa Dey Tithi, Min Chi, Tiffany Barnes
2024How Ready Are Generative Pre-trained Large Language Models for Explaining Bengali Grammatical Errors?
Subhankar Maity, Aniket Deroy, Sudeshna Sarkar
2024Human-Centric eXplainable AI in Education (HEXED) Workshop.
Juan D. Pinto, Luc Paquette, Vinitra Swamy, Tanja Käser, Qianhui Liu, Lea Cohausz
2024Identifying Off-Task Users in a Large-Scale, Game-Based Practice Assessment.
Matthew A. Emery, David Laing, Philip Simmons, Jacob Seybert, Katrina Yu, Erica L. Snow, Jack Buckley
2024Identifying and Evaluating Novel Knowledge Component Models for Programming Skills.
Mehmet Arif Demirtas
2024Integrating Attentional Factors and Spacing in Logistic Knowledge Tracing Models to Explore the Impact of Train-ing Sequences on Category Learning.
Meng Cao, Philip I. Pavlik Jr., Wei Chu, Liang Zhang
2024Interpreting Latent Student Knowledge Representations in Programming Assignments.
Nigel Fernandez, Andrew S. Lan
2024Intrinsically Interpretable Artificial Neural Networks for Learner Modeling.
Juan D. Pinto, Luc Paquette, Nigel Bosch
2024Introduction to the Proceedings.
2024Investigating Student Interest in a Minecraft Game-Based Learning Environment: A Changepoint Detection Analysis.
Yiqiu Zhou, Luc Paquette
2024Investigating Student Ratings with Features of Automatically Generated Questions: A Large-Scale Analysis using Data from Natural Learning Contexts.
Benny G. Johnson, Jeffrey S. Dittel, Rachel Van Campenhout
2024Investigating 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, Maya Israel
2024Investigating the Relations between Students' Affective States and the Coherence in their Activities in Open-Ended Learning Environments.
Celestine E. Akpanoko, Ashwin T. S., Grayson Cordell, Gautam Biswas
2024Investigation of behavioral Differences: Uncovering Behavioral Sources of Demographic Bias in Educational Algorithms.
Jade Maï Cock, Hugues Saltini, Haoyu Sheng, Riya Ranjan, Richard Davis, Tanja Käser
2024LLM-generated Feedback in Real Classes and Beyond: Perspectives from Students and Instructors.
Qinjin Jia, Jialin Cui, Haoze Du, M. Parvez Rashid, Ruijie Xi, Ruochi Li, Edward F. Gehringer
2024LOOL: Towards Personalization with Flexible \& Robust Estimation of Heterogeneous Treatment Effects.
Duy M. Pham, Kirk P. Vanacore, Adam C. Sales, Johann Gagnon-Bartsch
2024Large Language Models for In-Context Student Modeling: Synthesizing Student's Behavior in Visual Programming.
Manh Hung Nguyen, Sebastian Tschiatschek, Adish Singla
2024Leveraging Large Language Models for Next-Generation Educational Technologies.
Neil T. Heffernan, Rose E. Wang, Christopher MacLellan, Arto Hellas, Chenglu Li, Candace A. Walkington, Joshua Littenberg-Tobias, David Joyner, Steven Moore, Adish Singla, Zach A. Pardos, Maciej Pankiewicz, Juho Kim, Shashank Sonkar, Clayton Cohn, Anthony Botelho, Andrew S. Lan, Lan Jiang, Mingyu Feng, Tanja Käser, Eamon Worden
2024Logistic Knowledge Tracing Tutorial: Practical Educational Applications.
Philip I. Pavlik Jr., Luke G. Eglington, Meng Cao, Wei Chu
2024Making Course Recommendation Explainable: A Knowledge Entity-Aware Model using Deep Learning.
Tianyuan Yang, Baofeng Ren, Boxuan Ma, Md. Akib Zabed Khan, Tianjia He, Shin'ichi Konomi
2024Math Multiple Choice Question Generation via Human-Large Language Model Collaboration.
Jaewook Lee, Digory Smith, Simon Woodhead, Andrew S. Lan
2024Math 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, Anthony F. Botelho
2024Mining Epistemic Actions of Programming Problem Solving with Chat-GPT.
Rwitajit Majumdar, Prajish Prasad, Aamod Sane
2024More, May not the Better: Insights from Applying Deep Reinforcement Learning for Pedagogical Policy Induction.
Gyuhun Jung, Markel Sanz Ausin, Tiffany Barnes, Min Chi
2024Multimodal Learning Analytics for Predicting Student Collaboration Satisfaction in Collaborative Game-Based Learning.
Halim Acosta, Seung Y. Lee, Bradford W. Mott, Haesol Bae, Krista D. Glazewski, Cindy E. Hmelo-Silver, James C. Lester
2024Multimodal, Multi-Class Bias Mitigation for Predicting Speaker Confidence.
Andrew Emerson, Arti Ramesh, Patrick Houghton, Vinay Basheerabad, Navaneeth Jawahar, Chee Wee Leong
2024Navigating the Data-Rich Landscape of Online Learning: Insights and Predictions from ASSISTments.
Aswani Yaramala, Soheila Farokhi, Hamid Karimi
2024Navigating the Sky Together: Investigating Collaboration Dynamics through Annotation in an Immersive Learning Environment.
Yiqiu Zhou, Philo Wang, Jina Kang
2024Non-Overlapping Leave Future Out Validation (NOLFO): Implications for Graduation Prediction.
Lief Esbenshade, Jonathan Vitale, Ryan S. Baker
2024On Assessing the Faithfulness of LLM-generated Feedback on Student Assignments.
Qinjin Jia, Jialin Cui, Ruijie Xi, Chengyuan Liu, M. Parvez Rashid, Ruochi Li, Edward F. Gehringer
2024On the Selection of Positive and Negative Samples for Contrastive Math Word Problem Neural Solver.
Yiyao Li, Lu Wang, Jung-Jae Kim, Chor Seng Tan, Ye Luo
2024Open Science and Educational Data Mining: Which Practices Matter Most?
Ryan Shaun Baker, Stephen Hutt, Christopher A. Brooks, Namrata Srivastava, Caitlin Mills
2024Optimizing Human Learning using Reinforcement Learning.
Samuel Girard, Jill-Jênn Vie, Françoise Tort, Amel Bouzeghoub
2024Parametric Constraints for Bayesian Knowledge Tracing from First Principles.
Denis Shchepakin, Sreecharan Sankaranarayanan, Dawn Zimmaro
2024Phone Use While Programming.
Kaden Hart, Christopher M. Warren, Seth Poulsen, John Edwards
2024Plagiarism Detection Using Keystroke Logs.
Scott A. Crossley, Yu Tian, Joon Suh Choi, Langdon Holmes, Wesley Morris
2024Power Calculations for Randomized Controlled Trials with Auxiliary Observational Data.
Jaylin Lowe, Charlotte Z. Mann, Jiaying Wang, Adam Sales, Johann A. Gagnon-Bartsch
2024Predicting Cognitive Load Using Sensor Data in a Literacy Game.
Minghao Cai, Carrie Demmans Epp
2024Predicting GRE Scores from Application Materials in Test-Optional Admissions.
Yijun Zhao, Zhengxin Qi, Son Tung Do, John Grossi, Jee Hun Kang, Gary M. Weiss
2024Predicting Response Time of Questions Using Linear Mixed-effects Model.
Luyao Peng
2024Principals' use of data analytics in Finnish schools.
Ayaz Karimov, Mirka Saarela, Tommi Kärkkäinen, Sabina Aghayeva
2024Prioritizing the Indicators of Effective Inclusive Education Assessment Framework using TOPSIS Analysis for children with Disabilities: A Case of Delhi.
Umesh Kumar, Haimanti Banerji
2024Problem-Solving Behavior and EdTech Effectiveness: A Model for Exploratory Causal Analysis.
Adam C. Sales, Kirk P. Vanacore, Hyeon-Ah Kang, Tiffany A. Whittaker
2024Proceedings of the 17th International Conference on Educational Data Mining, EDM 2024, Atlanta, Georgia, USA, July 14-17, 2024
David A. Joyner, Benjamin Paaßen, Carrie Demmans Epp
2024Promoting Open Science in Educational Data Mining: An Interactive Tutorial on Licensing, Data, and Containers.
Aaron Haim, Stephen Hutt, Stacy T. Shaw, Neil T. Heffernan
2024Prompting 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, Katharina Kann
2024Propositional 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, Nikhil Krishnaswamy
2024Reexamining Learning Curve Analysis in Programming Education: The Value of Many Small Problems.
Mehmet Arif Demirtas, Max Fowler, Kathryn I. Cunningham
2024Relation of Linguistic Indicators to Civic Engagement in Special Education.
Chak Li, Scott A. Crossley, Meghan Burke, Zach Rossetti
2024Replicating an "Astonishing Regularity in Student Learning Rate".
Mary Ann Simpson, Kole A. Norberg, Stephen E. Fancsali
2024Retrieval-augmented Generation to Improve Math Question-Answering: Trade-offs Between Groundedness and Human Preference.
Owen Henkel, Zachary Levonian, Chenglu Li, Millie-Ellen Postle
2024Same Learning Platform, Different Types of Research: A National-Level Analysis.
Nidhi Nasiar, Ryan S. Baker, Juliana Ma. Alexandra L. Andres, Namrata Srivastava
2024Says Who? How different ground truth measures of emotion impact student affective modeling.
Andres Felipe Zambrano, Nidhi Nasiar, Jaclyn Ocumpaugh, Alex Goslen, Jiayi Zhang, Jonathan P. Rowe, Jordan Esiason, Jessica Vandenberg, Stephen Hutt
2024Semantic Similarity of Teacher and Student Discourse Linked to Quality Ratings from Classroom Observations.
Jessica Boyle, Scott A. Crossley
2024SingPAD: A Knowledge Tracing Dataset Based on Music Performance Assessment.
Ying Zhang, Yan Zhang, Wei Xu, Zhifeng Wang, Jianwen Sun
2024Social Network and Self-representation in Megathread: Group Formation in a Data Science Crowdsourcing Community.
Shiyao Wei, Ran Bi
2024Speaker Diarization in the Classroom: How Much Does Each Student Speak in Group Discussions?
Jiani Wang, Shiran Dudy, Xinlu He, Zhiyong Wang, Rosy Southwell, Jacob Whitehill
2024Strategic Interface Design Can Improve Learning Efficiency in an Intelligent Tutoring System.
Sutapa Dey Tithi, Behrooz Mostafavi, Arun Kumar Ramesh, Tiffany Barnes
2024Student Answer Forecasting: Transformer-Driven Answer Choice Prediction for Language Learning.
Elena Grazia Gado, Tommaso Martorella, Luca Zunino, Paola Mejia-Domenzain, Vinitra Swamy, Jibril Frej, Tanja Käser
2024Supporting Theory Building in Design-Based Research through Large Scale Data-Based Models.
Golnaz Arastoopour Irgens, Ibrahim Oluwajoba Adisa, Deepika Sistla, Tolulope Famaye, Cinamon Bailey, Atefeh Behboudi, Adenike Omolara Adefisayo
2024Tailored analysis of dropout in UBA distance postgraduate courses: first results.
Antonio R. Anaya, Pablo M. Gómez, Ariel Lutenberg
2024The Challenge of Challenges: Examining the Impact of Difficulty Dynamics on Mastery Learning in Math.
Seiyon M. Lee, Anthony F. Botelho
2024The Cleaned Repository of Annotated Personally Identifiable Information.
Langdon Holmes, Scott A. Crossley, Jiahe Wang, Weixuan Zhang
2024The Construction and Analysis of Course Grades Across Public Universities.
Hyun Jeong, Gary M. Weiss, Audrey Leung, Daniel D. Leeds
2024Thinking Causally in EDM: A Hands-On Tutorial for Causal Modeling Using DAGs.
Lea Cohausz
2024This Paper Was Written with the Help of ChatGPT: Exploring the Consequences of AI-Driven Academic Writing on Scholarly Practices.
Hongming Li, Seiyon Lee, Anthony F. Botelho
2024Threads of Complexity: Lessons learnt from Predicting Student Failure through Discussion Forums' Social-Temporal Dynamics.
Nidia Guadalupe López Flores, Víctor Uc-Cetina, Anna Sigridur Islind, María Óskarsdóttir
2024Tools for Planning and Analyzing Randomized Controlled Trials and A/B Tests.
Adam C. Sales, Johann A. Gagnon-Bartsch, Duy M. Pham
2024Towards Generalizable Agents in Text-Based Educational Environments: A Study of Integrating RL with LLMs.
Bahar Radmehr, Adish Singla, Tanja Käser
2024Towards Modeling Learner Performance with Large Language Models.
Seyed Parsa Neshaei, Richard Lee Davis, Adam Hazimeh, Bojan Lazarevski, Pierre Dillenbourg, Tanja Käser
2024Tracking Classroom Movement Patterns with Person Re-ID.
Xinlu He, Jiani Wang, Viet Anh Trinh, Andrew A. McReynolds, Jacob Whitehill
2024Uncertainty-preserving deep knowledge tracing with state-space models.
S. Thomas Christie, Carson Cook, Anna N. Rafferty
2024Uncovering the Evolution of Topics about AI Painting: Dynamic Topic Modeling of 180k Discourse Data in an Online Community.
Shiyao Wei, Ran Bi
2024Using Large Language Models to Detect Self-Regulated Learning in Think-Aloud Protocols.
Jiayi Zhang, Conrad Borchers, Vincent Aleven, Ryan S. Baker
2024Using Publicly Available Auxiliary Data to Improve Precision of Treatment Effect Estimation in a Randomized Efficacy Trial.
Charlotte Z. Mann, Jiaying Wang, Adam Sales, Johann A. Gagnon-Bartsch
2024What metrics of participation balance predict outcomes of collaborative learning with a robot?
Yuya Asano, Diane J. Litman, Quentin King-Shepard, Tristan Maidment, Tyree Langley, Teresa Davison
2024When 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, Ana Santos
2024Who Should I Help Next? Simulation of Office Hours Queue Scheduling Strategy in a CS2 Course.
Zhikai Gao, Gabriel Silva de Oliveira, Damilola Babalola, Collin F. Lynch, Sarah Heckman