| 2026 | AIED | Understanding Teacher Revisions of Large Language Model-Generated Feedback. | Conrad Borchers, Luiz A. L. Rodrigues, Newarney Torrezo da Costa, Cleon Xavier, Rafael Ferreira Mello |
| 2026 | AIED | Multimodal Analytics of Cybersecurity Crisis Preparation Exercises: What Predicts Success? | Conrad Borchers, Valdemar Svbensk, Sandesh K. Kafle, Kevin K. Tang, Jan Vykopal |
| 2026 | AIED | Representation Learning to Study Temporal Dynamics in Tutorial Scaffolding. | Conrad Borchers, Jiayi Zhang, Ashish Gurung |
| 2026 | AIED | A Benchmark for Gender Bias in Large Language Model Feedback on Student Essays. | Yishan Du, Conrad Borchers, Mutlu Cukurova |
| 2026 | AIED | Physiological and Semantic Patterns in Medical Teams Using an Intelligent Tutoring System. | Xiaoshan Huang, Conrad Borchers, Jiayi Zhang, Susanne P. Lajoie |
| 2026 | AIED | Evaluating a Data-Driven Redesign Process for Intelligent Tutoring Systems. | Qianru Lyu, Conrad Borchers, Meng Xia, Karen Xiao, Paulo Carvalho, Kenneth R. Koedinger, Vincent Aleven |
| 2026 | AIED | Modernizing Ground Truth: Four Shifts Toward Improving Reliability and Validity in AI in Education. | Danielle R. Thomas, Conrad Borchers, Kirk P. Vanacore, Kenneth R. Koedinger, Ren F. Kizilcec |
| 2026 | LAK | Toward Trait-Aware Learning Analytics. | Conrad Borchers, Hannah Deininger, Zachary A. Pardos |
| 2026 | LAK | Brief but Impactful: How Human Tutoring Interactions Shape Engagement in Online Learning. | Conrad Borchers, Ashish Gurung, Qinyi Liu, Danielle R. Thomas, Mohammad Khalil, Kenneth R. Koedinger |
| 2026 | LAK | Disentangling Learning from Judgment: Representation Learning for Open Response Analytics. | Conrad Borchers, Manit Patel, Seiyon M. Lee, Anthony F. Botelho |
| 2026 | LAK | Sticky Help, Bounded Effects: Session-by-Session Analytics of Teacher Interventions in K-12 Classrooms. | Qiao Jin, Conrad Borchers, Ashish Gurung, Sean Jackson, Sameeksha Agarwal, Cancan Wang, Yichen Andy Yu, Pragati Maheshwary, Vincent Aleven |
| 2026 | LAK | Measuring the Impact of Student Gaming Behaviors on Learner Modeling. | Qinyi Liu, Lin Li, Valdemar Svbensk, Conrad Borchers, Mohammad Khalil |
| 2026 | LAK | Fifteen Years of Learning Analytics Research: Topics, Trends, and Challenges. | Valdemar Svbensk, Conrad Borchers, Elvin Fortuna, Elizabeth B. Cloude, Dragan Gasevic |
| 2026 | LAK | Disagreement as Data: Reasoning Trace Analytics in Multi-Agent Systems. | Elham Tajik, Conrad Borchers, Bahar Shahrokhian, Sebastian Simon, Ali Keramati, Sonika Pal, Sreecharan Sankaranarayanan |
| 2026 | LAK | Using Large Language Models to Detect Socially Shared Regulation of Collaborative Learning. | Jiayi Zhang, Conrad Borchers, Clayton Cohn, Namrata Srivastava, Caitlin Snyder, Siyuan Guo, Ashwin T. S., Naveeduddin Mohammed, Haley Noh, Gautam Biswas |
| 2026 | LAK | Understanding Gaming the System by Analyzing Self-Regulated Learning in Think-Aloud Protocols. | Jiayi Zhang, Conrad Borchers, Canwen Wang, Vishal Kumar, Leah Teffera, Bruce M. McLaren, Ryan S. Baker |
| 2025 | AIED | Engagement and Learning Benefits of Goal Setting with Rewards in Human-AI Tutoring. | Conrad Borchers, Alex Houk, Vincent Aleven, Kenneth R. Koedinger |
| 2025 | AIED | Intelligent Support for Practice Goal Setting to Enhance Learning. | Conrad Borchers, Kenneth R. Koedinger, Vincent Aleven |
| 2025 | AIED | Involving Parents in Tutoring Systems to Increase Content Confidence: A Design Probe Study. | Conrad Borchers, Ha Tien Nguyen, Paulo F. Carvalho, Kenneth R. Koedinger, Vincent Aleven |
| 2025 | AIED | Student Perceptions of Adaptive Goal Setting Recommendations: A Design Prototyping Study. | Conrad Borchers, Cindy Peng, Qianru Lyu, Paulo F. Carvalho, Kenneth R. Koedinger, Vincent Aleven |
| 2025 | AIED | Can Large Language Models Match Tutoring System Adaptivity? A Benchmarking Study. | Conrad Borchers, Tianze Shou |
| 2025 | AIED | Comparing a Human's and a Multi-Agent System's Thematic Analysis: Assessing Qualitative Coding Consistency. | Sebastian Simon, Sreecharan Sankaranarayanan, Elham Tajik, Conrad Borchers, Bahar Shahrokhian, Francesco Balzan, Sebastian Strau, Sree Aurovindh Viswanathan, Amine Hatun Atas, Mia Carapina, Li Liang, Berkan Celik |
| 2025 | AIED | Improving Open-Response Assessment with LearnLM. | Danielle R. Thomas, Conrad Borchers, Shambhavi Bhushan, Sanjit Kakarla, Alex Houk, Ralph Abboud, Shivang Gupta, Erin Gatz, Kenneth R. Koedinger |
| 2025 | EDM | Toward Sufficient Statistical Power in Algorithmic Bias Assessment: A Test for ABROCA. | Conrad Borchers |
| 2025 | EDM | Combining Log Data and Collaborative Dialogue Features to Predict Project Quality in Middle School AI Education. | Conrad Borchers, Xiaoyi Tian, Kristy Elizabeth Boyer, Maya Israel |
| 2025 | EDM | Does Student Learning Rate Depend on Feedback Type and Prior Knowledge? | Hendrik Fleischer, Arne Noglik, Conrad Borchers, Sascha Schanze |
| 2025 | EDM | Starting Seatwork Earlier as a Valid Measure of Student Engagement. | Ashish Gurung, Jionghao Lin, Zhongtian Huang, Conrad Borchers, Ryan Baker, Vincent Aleven, Kenneth R. Koedinger |
| 2025 | EDM | Who to Help? A Time-Slice Analysis of K-12 Teachers' Decisions in Classes with AI-Supported Tutoring. | Qiao Jin, Conrad Borchers, Stephen Fancsali, Vincent Aleven |
| 2025 | LAK | ABROCA Distributions For Algorithmic Bias Assessment: Considerations Around Interpretation. | Conrad Borchers, Ryan S. Baker |
| 2025 | LAK | How Learner Control and Explainable Learning Analytics About Skill Mastery Shape Student Desires to Finish and Avoid Loss in Tutored Practice. | Conrad Borchers, Jeroen Ooge, Cindy Peng, Vincent Aleven |
| 2025 | LAK | Does the Doer Effect Generalize To Non-WEIRD Populations? Toward Analytics in Radio and Phone-Based Learning. | Darren Butler, Conrad Borchers, Michael W. Asher, Yongmin Lee, Sonya Karnataki, Sameeksha Dangi, Samyukta Athreya, John C. Stamper, Amy Ogan, Paulo Carvalho |
| 2025 | LAK | Automating Thematic Analysis with Multi-Agent LLM Systems. | Sreecharan Sankaranarayanan, Conrad Borchers, Sebastian Simon, Elham Tajik, Amine Hatun Atas, Berkan Celik, Francesco Balzan, Bahar Shahrokhian |
| 2025 | LAK | Evaluating the Impact of Data Augmentation on Predictive Model Performance. | Valdemar Svbensk, Conrad Borchers, Elizabeth B. Cloude, Atsushi Shimada |
| 2025 | LAK | Does Multiple Choice Have a Future in the Age of Generative AI? A Posttest-only RCT. | Danielle R. Thomas, Conrad Borchers, Sanjit Kakarla, Jionghao Lin, Shambhavi Bhushan, Boyuan Guo, Erin Gatz, Kenneth R. Koedinger |
| 2025 | LAK | Do Tutors Learn from Equity Training and Can Generative AI Assess It? | Danielle R. Thomas, Conrad Borchers, Sanjit Kakarla, Jionghao Lin, Shambhavi Bhushan, Boyuan Guo, Erin Gatz, Kenneth R. Koedinger |
| 2025 | LAK | Combining Large Language Models with Tutoring System Intelligence: A Case Study in Caregiver Homework Support. | Devika Venugopalan, Ziwen Yan, Conrad Borchers, Jionghao Lin, Vincent Aleven |
| 2024 | AIED | Ethical AIED and AIED Ethics: Toward Synergy Between AIED Research and Ethical Frameworks. | Conrad Borchers, Xinman Liu, Hakeoung Hannah Lee, Jiayi Zhang |
| 2024 | EDM | Using Large Language Models to Detect Self-Regulated Learning in Think-Aloud Protocols. | Jiayi Zhang, Conrad Borchers, Vincent Aleven, Ryan S. Baker |
| 2024 | EDM | Are You an Early Dropper or Late Shopper? Mining Enrollment Transaction Data to Study Procrastination in Higher Education. | Conrad Borchers, Yinuo Xu, Zachary A. Pardos |
| 2024 | EDM | 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, Vincent Aleven |
| 2024 | HCI | Predicting Learning Performance with Large Language Models: A Study in Adult Literacy. | Liang Zhang, Jionghao Lin, Conrad Borchers, John Sabatini, John Hollander, Meng Cao, Xiangen Hu |
| 2024 | LAK | Using Think-Aloud Data to Understand Relations between Self-Regulation Cycle Characteristics and Student Performance in Intelligent Tutoring Systems. | Conrad Borchers, Jiayi Zhang, Ryan S. Baker, Vincent Aleven |
| 2024 | LAK | Revealing Networks: Understanding Effective Teacher Practices in AI-Supported Classrooms using Transmodal Ordered Network Analysis. | Conrad Borchers, Yeyu Wang, Shamya Karumbaiah, Muhammad Ashiq, David Williamson Shaffer, Vincent Aleven |
| 2024 | LAK | 3DG: A Framework for Using Generative AI for Handling Sparse Learner Performance Data From Intelligent Tutoring Systems. | Liang Zhang, Jionghao Lin, Conrad Borchers, Meng Cao, Xiangen Hu |
| 2023 | AIED | A Spatiotemporal Analysis of Teacher Practices in Supporting Student Learning and Engagement in an AI-Enabled Classroom. | Shamya Karumbaiah, Conrad Borchers, Tianze Shou, Ann-Christin Falhs, Pinyang Liu, Tomohiro Nagashima, Nikol Rummel, Vincent Aleven |
| 2023 | EDM | Timing Matters: Inferring Educational Twitter Community Switching from Membership Characteristics. | Conrad Borchers, Lennart Klein, Hayden Johnson, Christian Fischer |
| 2023 | EDM | Optimizing Parameters for Accurate Position Data Mining in Diverse Classrooms Layouts. | Tianze Shou, Conrad Borchers, Shamya Karumbaiah, Vincent Aleven |
| 2023 | LAK | Insights into undergraduate pathways using course load analytics. | Conrad Borchers, Zachary A. Pardos |
| 2021 | EDM | To Scale or Not to Scale: Comparing Popular Sentiment Analysis Dictionaries on Educational Twitter Data. | Conrad Borchers, Joshua Rosenberg, Benjamin Gibbons, Macy Alana Burchfield, Christian Fischer |
| 2021 | EDM | Are Violations of Student Privacy "Quick and Easy"? Investigating the Privacy of Students' Images and Names in the Context of K-12 Educational Institution's Posts on Facebook. | Macy Burchfield, Joshua Rosenberg, Conrad Borchers, Tayla Thomas, Benjamin Gibbons, Christian Fischer |