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2020 – today
- 2026
[c71]Conrad Borchers
, Jiayi Zhang, Ashish Gurung:
Representation Learning to Study Temporal Dynamics in Tutorial Scaffolding. AIED (3) 2026: 36-45- [c70]Xiaoshan Huang, Conrad Borchers, Jiayi Zhang, Susanne P. Lajoie:
Physiological and Semantic Patterns in Medical Teams Using an Intelligent Tutoring System. AIED (5) 2026: 48-56 - [c69]Conrad Borchers, Luiz A. L. Rodrigues, Newarney Torrezão da Costa, Cleon Xavier, Rafael Ferreira Mello:
Understanding Teacher Revisions of Large Language Model-Generated Feedback. AIED 2026: 60-74 - [c68]Qianru Lyu, Conrad Borchers, Meng Xia, Karen Xiao, Paulo Carvalho, Kenneth R. Koedinger, Vincent Aleven:
Evaluating a Data-Driven Redesign Process for Intelligent Tutoring Systems. AIED (3) 2026: 103-112 - [c67]Danielle R. Thomas, Conrad Borchers, Kirk P. Vanacore, Kenneth R. Koedinger, René F. Kizilcec:
Modernizing Ground Truth: Four Shifts Toward Improving Reliability and Validity in AI in Education. AIED (6) 2026: 117-131 - [c66]Yishan Du, Conrad Borchers, Mutlu Cukurova:
A Benchmark for Gender Bias in Large Language Model Feedback on Student Essays. AIED (6) 2026: 163-178 - [c65]Conrad Borchers, Valdemar Svábenský, Sandesh K. Kafle, Kevin K. Tang, Jan Vykopal:
Multimodal Analytics of Cybersecurity Crisis Preparation Exercises: What Predicts Success? AIED (3) 2026: 427-442 - [c64]Jiayi Zhang, Conrad Borchers, Canwen Wang, Vishal Kumar, Leah Teffera, Bruce M. McLaren, Ryan S. Baker:
Understanding Gaming the System by Analyzing Self-Regulated Learning in Think-Aloud Protocols. LAK 2026: 22-31 - [c63]Qinyi Liu, Lin Li, Valdemar Svábenský, Conrad Borchers, Mohammad Khalil:
Measuring the Impact of Student Gaming Behaviors on Learner Modeling. LAK 2026: 106-116 - [c62]Conrad Borchers, Ashish Gurung, Qinyi Liu, Danielle R. Thomas, Mohammad Khalil, Kenneth R. Koedinger:
Brief but Impactful: How Human Tutoring Interactions Shape Engagement in Online Learning. LAK 2026: 160-170 - [c61]Conrad Borchers, Hannah Deininger, Zachary A. Pardos:
Toward Trait-Aware Learning Analytics. LAK 2026: 250-260 - [c60]Qiao Jin, Conrad Borchers, Ashish Gurung, Sean Jackson, Sameeksha Agarwal, Cancan Wang, YiChen Yu, Pragati Maheshwary, Vincent Aleven:
Sticky Help, Bounded Effects: Session-by-Session Analytics of Teacher Interventions in K-12 Classrooms. LAK 2026: 663-673 - [c59]Valdemar Svábenský, Conrad Borchers, Elvin Fortuna, Elizabeth B. Cloude, Dragan Gasevic:
Fifteen Years of Learning Analytics Research: Topics, Trends, and Challenges. LAK 2026: 697-708 - [c58]Conrad Borchers, Manit Patel, Seiyon M. Lee, Anthony F. Botelho:
Disentangling Learning from Judgment: Representation Learning for Open Response Analytics. LAK 2026: 744-750 - [c57]Jiayi Zhang, Conrad Borchers, Clayton Cohn, Namrata Srivastava, Caitlin Snyder, Siyuan Guo, Ashwin T. S., Naveeduddin Mohammed, Haley Noh, Gautam Biswas:
Using Large Language Models to Detect Socially Shared Regulation of Collaborative Learning. LAK 2026: 883-890 - [c56]Elham Tajik, Conrad Borchers, Bahar Shahrokhian, Sebastian Simon, Ali Keramati, Sonika Pal, Sreecharan Sankaranarayanan:
Disagreement as Data: Reasoning Trace Analytics in Multi-Agent Systems. LAK 2026: 933-939 - [c55]Conrad Borchers, Olga Viberg, René F. Kizilcec:
Who Decides in AI-Mediated Learning? The Agency Allocation Framework. L@S 2026: 22-33 - [c54]Conrad Borchers, Lijin Zhang, Kexin Yang, Tomohiro Nagashima, Benjamin W. Domingue:
Understanding Student Effort Using Response-Time Propensities During Problem Solving. L@S 2026: 34-45 - [c53]Jinwon Kim, Qiujie Li, Conrad Borchers, Zilu Jiang, Di Xu:
Student, Course Design, or Context? Studying the Determinants of Academic Procrastination at Scale. L@S 2026: 168-178 - [c52]Jinsook Lee, Conrad Borchers, A. J. Alvero, Thorsten Joachims, René F. Kizilcec:
The Digital Divide in Generative AI: Evidence from Large Language Model Use in College Admissions Essays. L@S 2026: 179-190 - [c51]Conrad Borchers, Robin Schmucker, Ashutosh Tiwari, Zachary A. Pardos:
Push and Pull in Community College Cross-Enrollment: Remoteness, Articulation, and Student Mobility. L@S 2026: 390-394 - [d4]Valdemar Svábenský, Conrad Borchers, Elvin Fortuna, Elizabeth B. Cloude, Dragan Gasevic:
Supplementary Materials: Fifteen Years of Learning Analytics Research: Topics, Trends, and Challenges. Version 1.0.0. Zenodo, 2026 [all versions]
- [d3]Valdemar Svábenský, Conrad Borchers, Elvin Fortuna, Elizabeth B. Cloude, Dragan Gasevic:
Supplementary Materials: Fifteen Years of Learning Analytics Research: Topics, Trends, and Challenges. Version 1.0.1. Zenodo, 2026 [all versions] - [i56]Jiayi Zhang, Conrad Borchers, Clayton Cohn, Namrata Srivastava, Caitlin Snyder, Siyuan Guo, T. S. Ashwin, Naveeduddin Mohammed, Hae Young Noh, Gautam Biswas:
Using Large Language Models to Detect Socially Shared Regulation of Collaborative Learning. CoRR abs/2601.04458 (2026) - [i55]Jiayi Zhang, Conrad Borchers, Canwen Wang, Vishal Kumar, Leah Teffera, Bruce M. McLaren, Ryan S. Baker:
Understanding Gaming the System by Analyzing Self-Regulated Learning in Think-Aloud Protocols. CoRR abs/2601.04487 (2026) - [i54]Valdemar Svábenský, Conrad Borchers, Elvin Fortuna, Elizabeth B. Cloude, Dragan Gasevic:
Fifteen Years of Learning Analytics Research: Topics, Trends, and Challenges. CoRR abs/2601.07629 (2026) - [i53]Conrad Borchers, Ashish Gurung, Qinyi Liu, Danielle R. Thomas, Mohammad Khalil, Kenneth R. Koedinger:
Brief but Impactful: How Human Tutoring Interactions Shape Engagement in Online Learning. CoRR abs/2601.09994 (2026) - [i52]Elham Tajik, Conrad Borchers, Bahar Shahrokhian, Sebastian Simon, Ali Keramati, Sonika Pal, Sreecharan Sankaranarayanan:
Disagreement as Data: Reasoning Trace Analytics in Multi-Agent Systems. CoRR abs/2601.12618 (2026) - [i51]Qiao Jin, Conrad Borchers, Ashish Gurung, Sean Jackson, Sameeksha Agarwal, Cancan Wang, YiChen Yu, Pragati Maheshwary, Vincent Aleven:
Sticky Help, Bounded Effects: Session-by-Session Analytics of Teacher Interventions in K-12 Classrooms. CoRR abs/2601.13520 (2026) - [i50]Conrad Borchers, Hannah Deininger, Zachary A. Pardos:
Toward Trait-Aware Learning Analytics. CoRR abs/2602.00018 (2026) - [i49]Conrad Borchers, Jill-Jênn Vie, Roger Azevedo:
Large Language Models as Students Who Think Aloud: Overly Coherent, Verbose, and Confident. CoRR abs/2602.01015 (2026) - [i48]Jinsook Lee, Conrad Borchers, A. J. Alvero, Thorsten Joachims, René F. Kizilcec:
The Digital Divide in Generative AI: Evidence from Large Language Model Use in College Admissions Essays. CoRR abs/2602.17791 (2026) - [i47]Conrad Borchers, Jiayi Zhang, Ashish Gurung:
Representation Learning to Study Temporal Dynamics in Tutorial Scaffolding. CoRR abs/2603.24535 (2026) - [i46]Conrad Borchers, Luiz A. L. Rodrigues, Newarney Torrezão da Costa, Cleon Xavier, Rafael Ferreira Mello:
Understanding Teacher Revisions of Large Language Model-Generated Feedback. CoRR abs/2603.27806 (2026) - [i45]Conrad Borchers, Valdemar Svábenský, Sandesh K. Kafle, Kevin K. Tang, Jan Vykopal:
Multimodal Analytics of Cybersecurity Crisis Preparation Exercises: What Predicts Success? CoRR abs/2603.28553 (2026) - [i44]Qianru Lyu, Conrad Borchers, Meng Xia, Karen Xiao, Paulo F. Carvalho, Kenneth R. Koedinger, Vincent Aleven:
Evaluating a Data-Driven Redesign Process for Intelligent Tutoring Systems. CoRR abs/2603.29094 (2026) - [i43]Danielle R. Thomas, Conrad Borchers, Kirk P. Vanacore, Kenneth R. Koedinger, René F. Kizilcec:
Modernizing Ground Truth: Four Shifts Toward Improving Reliability and Validity in AI in Education. CoRR abs/2603.29141 (2026) - [i42]Xiaoshan Huang, Conrad Borchers, Jiayi Zhang, Susanne P. Lajoie:
Physiological and Semantic Patterns in Medical Teams Using an Intelligent Tutoring System. CoRR abs/2603.29950 (2026) - [i41]Conrad Borchers, Olga Viberg, René F. Kizilcec:
Who Decides in AI-Mediated Learning? The Agency Allocation Framework. CoRR abs/2604.13534 (2026) - [i40]Conrad Borchers, Lijin Zhang, Kexin Bella Yang, Tomohiro Nagashima, Benjamin W. Domingue:
Understanding Student Effort Using Response-Time Propensities During Problem Solving. CoRR abs/2605.08943 (2026) - [i39]Eric S. Qiu, Danielle R. Thomas, Boyuan Guo, Vincent Aleven, Conrad Borchers:
From Heuristics to Analytics: Forecasting Effort and Progress in Online Learning. CoRR abs/2605.12788 (2026) - [i38]Conrad Borchers, Robin Schmucker, Ashutosh Tiwari, Zachary A. Pardos:
Push and Pull in Community College Cross-Enrollment: Remoteness, Articulation, and Student Mobility. CoRR abs/2605.16992 (2026) - [i37]Haley Noh, Aarna Chowdhary, Jeroen Ooge, Vincent Aleven, Conrad Borchers:
Simulating Learners' Task-Selection Strategies and System Constraints in Mastery Learning. CoRR abs/2605.21613 (2026) - [i36]Xinfei Cen, Vincent Aleven, Kenneth R. Koedinger, Conrad Borchers, Paulo F. Carvalho:
Self-Efficacy and Favorability Shape Learning from Tutoring Systems and Paper Practice. CoRR abs/2606.17470 (2026) - [i35]Danielle R. Thomas, Marie Cynthia Abijuru Kamikazi, Clara Brandt, Conrad Borchers, Kenneth R. Koedinger:
AI-Driven Assessment of Human Tutors: Linking Training Performance to Real-Life Practice. CoRR abs/2606.18617 (2026) - [i34]Conrad Borchers:
Framing the 5% Problem: Teachers' Perspectives on Persistence in Educational Technology. CoRR abs/2606.22294 (2026) - 2025
- [j4]Conrad Borchers, Hendrik Fleischer, Sascha Schanze, Katharina Scheiter, Vincent Aleven:
High scaffolding of an unfamiliar strategy improves conceptual learning but reduces enjoyment compared to low scaffolding and strategy freedom. Comput. Educ. 236: 105364 (2025) - [j3]Conrad Borchers, Zachary A. Pardos:
Course Load Analytics Interventions on Higher Education Course Selection: Experimental Evidence. J. Learn. Anal. 12(2): 293-311 (2025) - [j2]Liang Zhang, Jionghao Lin, John Sabatini, Conrad Borchers, Daniel Weitekamp III, Meng Cao, John Hollander, Xiangen Hu, Arthur C. Graesser:
Data Augmentation for Sparse Multidimensional Learning Performance Data Using Generative AI. IEEE Trans. Learn. Technol. 18: 145-164 (2025) - [c50]Conrad Borchers, Alex Houk, Vincent Aleven, Kenneth R. Koedinger:
Engagement and Learning Benefits of Goal Setting with Rewards in Human-AI Tutoring. AIED (4) 2025: 46-59 - [c49]Sebastian Simon, Sreecharan Sankaranarayanan, Elham Tajik, Conrad Borchers, Bahar Shahrokhian, Francesco Balzan, Sebastian Strauß, Sree Aurovindh Viswanathan, Amine Hatun Atas, Mia Carapina, Li Liang, Berkan Celik:
Comparing a Human's and a Multi-Agent System's Thematic Analysis: Assessing Qualitative Coding Consistency. AIED (3) 2025: 60-73 - [c48]Conrad Borchers, Ha Tien Nguyen, Paulo F. Carvalho, Kenneth R. Koedinger, Vincent Aleven:
Involving Parents in Tutoring Systems to Increase Content Confidence: A Design Probe Study. AIED (6) 2025: 107-114 - [c47]Danielle R. Thomas, Conrad Borchers, Shambhavi Bhushan, Sanjit Kakarla, Alex Houk, Ralph Abboud, Shivang Gupta, Erin Gatz, Kenneth R. Koedinger:
Improving Open-Response Assessment with LearnLM. AIED (5) 2025: 220-227 - [c46]Conrad Borchers, Cindy Peng, Qianru Lyu, Paulo F. Carvalho, Kenneth R. Koedinger, Vincent Aleven:
Student Perceptions of Adaptive Goal Setting Recommendations: A Design Prototyping Study. AIED (5) 2025: 244-251 - [c45]Conrad Borchers, Kenneth R. Koedinger, Vincent Aleven:
Intelligent Support for Practice Goal Setting to Enhance Learning. AIED Companion (1) 2025: 397-402 - [c44]Conrad Borchers, Tianze Shou:
Can Large Language Models Match Tutoring System Adaptivity? A Benchmarking Study. AIED (2) 2025: 407-420 - [c43]Shambhavi Bhushan, Danielle R. Thomas, Conrad Borchers, Isha Raghuvanshi, Ralph Abboud, Erin Gatz, Shivang Gupta, Kenneth R. Koedinger:
Detecting LLM-Generated Short Answers and Effects on Learner Performance. EC-TE (1) 2025: 47-60 - [c42]Conrad Borchers, Ha Tien Nguyen, Paulo F. Carvalho, Kenneth R. Koedinger, Vincent Aleven:
Goal Setting Engages More Caregivers in Online Math Homework than Instructional Support. EC-TE (1) 2025: 61-75 - [c41]Conrad Borchers, Tomohiro Nagashima, Pinyang Liu, Martha W. Alibali, Vincent Aleven:
Is More Gamification Better? Evaluating Playful Interactions and Narratives for Algebra Learning. EC-TE (1) 2025: 76-90 - [c40]Conrad Borchers, Shreya K. Sheel, Anirudh Pai, Sher Shah, Zachary A. Pardos:
Designing the Course Load Analytics Platform. EC-TEL (2) 2025: 113-119 - [c39]Ann-Christin Falhs, Conrad Borchers, Vanessa Echeverría, Kexin Bella Yang, Nikol Rummel, Vincent Aleven:
How Expertise Levels Shape Preferences and Reflection Needs: Towards AI Reflection Systems for Teacher Empowerment. EC-TEL (2) 2025: 120-125 - [c38]Hendrik Fleischer, Conrad Borchers, Sascha Schanze, Vincent Aleven:
Error Classification in Stoichiometry Tutoring Systems with Different Levels of Scaffolding: Comparing Rule-Based Classification and Machine Learning. EC-TEL (2) 2025: 126-131 - [c37]Danielle R. Thomas, Conrad Borchers, Jionghao Lin, Sanjit Kakarla, Shambhavi Bhushan, Erin Gatz, Shivang Gupta, Ralph Abboud, Kenneth R. Koedinger:
Leveraging LLMs to Assess Tutor Moves in Real-Life Dialogues: A Feasibility Study. EC-TEL (2) 2025: 268-273 - [c36]Katharina Teich, Conrad Borchers, Nikol Rummel:
Using Log Data to Analyze the Impact of Adaptive Support on Self-Regulated Learning in Adult Online Education. EC-TE (1) 2025: 457-472 - [c35]Danielle R. Thomas, Conrad Borchers, Shambhavi Bhushan, Erin Gatz, Shivang Gupta, Kenneth R. Koedinger:
LLM-Generated Feedback Supports Learning if Learners Choose to Use it. EC-TE (1) 2025: 489-503 - [c34]Meng Xia, Robin Schmucker, Conrad Borchers, Vincent Aleven:
Optimizing Mastery Learning by Fast-Forwarding Over-Practice Steps. EC-TE (1) 2025: 549-563 - [c33]Conrad Borchers:
Toward Sufficient Statistical Power in Algorithmic Bias Assessment: A Test for ABROCA. EDM 2025 - [c32]Conrad Borchers, Xiaoyi Tian, Kristy Elizabeth Boyer, Maya Israel:
Combining Log Data and Collaborative Dialogue Features to Predict Project Quality in Middle School AI Education. CSEDM@EDM 2025 - [c31]Hendrik Fleischer, Arne Noglik, Conrad Borchers, Sascha Schanze:
Does Student Learning Rate Depend on Feedback Type and Prior Knowledge? EDM 2025 - [c30]Ashish Gurung, Jionghao Lin, Zhongtian Huang, Conrad Borchers, Ryan Baker, Vincent Aleven, Kenneth R. Koedinger:
Starting Seatwork Earlier as a Valid Measure of Student Engagement. EDM 2025 - [c29]Qiao Jin, Conrad Borchers, Stephen Fancsali, Vincent Aleven:
Who to Help? A Time-Slice Analysis of K-12 Teachers' Decisions in Classes with AI-Supported Tutoring. EDM 2025 - [c28]Conrad Borchers, Danielle R. Thomas, Jionghao Lin, Ralph Abboud, Kenneth R. Koedinger:
Augmenting Human-Annotated Training Data with Large Language Model Generation and Distillation in Open-Response Assessment (short paper). GenAI-LA@LAK 2025: 42-50 - [c27]Valdemar Svábenský, Conrad Borchers, Elizabeth B. Cloude, Atsushi Shimada:
Evaluating the Impact of Data Augmentation on Predictive Model Performance. LAK 2025: 126-136 - [c26]Sreecharan Sankaranarayanan, Conrad Borchers, Sebastian Simon, Elham Tajik, Amine Hatun Atas, Berkan Celik, Francesco Balzan, Bahar Shahrokhian:
Automating Thematic Analysis with Multi-Agent LLM Systems. LAK Workshops 2025: 229-238 - [c25]Devika Venugopalan, Ziwen Yan, Conrad Borchers, Jionghao Lin, Vincent Aleven:
Combining Large Language Models with Tutoring System Intelligence: A Case Study in Caregiver Homework Support. LAK 2025: 373-383 - [c24]Danielle R. Thomas, Conrad Borchers, Sanjit Kakarla, Jionghao Lin, Shambhavi Bhushan, Boyuan Guo, Erin Gatz, Kenneth R. Koedinger:
Does Multiple Choice Have a Future in the Age of Generative AI? A Posttest-only RCT. LAK 2025: 494-504 - [c23]Danielle R. Thomas, Conrad Borchers, Sanjit Kakarla, Jionghao Lin, Shambhavi Bhushan, Boyuan Guo, Erin Gatz, Kenneth R. Koedinger:
Do Tutors Learn from Equity Training and Can Generative AI Assess It? LAK 2025: 505-515 - [c22]Conrad Borchers, Jeroen Ooge, Cindy Peng, Vincent Aleven:
How Learner Control and Explainable Learning Analytics About Skill Mastery Shape Student Desires to Finish and Avoid Loss in Tutored Practice. LAK 2025: 810-816 - [c21]Conrad Borchers, Ryan S. Baker:
ABROCA Distributions For Algorithmic Bias Assessment: Considerations Around Interpretation. LAK 2025: 837-843 - [c20]Darren Butler, Conrad Borchers, Michael W. Asher, Yongmin Lee, Sonya Karnataki, Sameeksha Dangi, Samyukta Athreya, John C. Stamper, Amy Ogan, Paulo Carvalho:
Does the Doer Effect Generalize To Non-WEIRD Populations? Toward Analytics in Radio and Phone-Based Learning. LAK 2025: 844-850 - [c19]Eason Chen, Xinyi Tang, Aprille J. Xi, Chenyu Lin, Conrad Borchers, Shivang Gupta, Jionghao Lin, Kenneth R. Koedinger:
VTutor for High-Impact Tutoring at Scale: Managing Engagement and Real-Time Multi-Screen Monitoring with P2P Connections. L@S 2025: 320-324 - [c18]Eason Chen, Xinyi Tang, Aprille Xi, Chenyu Lin, Conrad Borchers, Shivang Gupta, Jionghao Lin, Kenneth R. Koedinger:
Demo of VTutor for High-Impact Tutoring at Scale: A Real-Time Multi-Screen Tutor Support System with P2P Connections. L@S 2025: 398-400 - [i33]Conrad Borchers:
Toward Sufficient Statistical Power in Algorithmic Bias Assessment: A Test for ABROCA. CoRR abs/2501.04683 (2025) - [i32]Sanjit Kakarla, Conrad Borchers, Danielle Thomas, Shambhavi Bhushan, Kenneth R. Koedinger:
Comparing Few-Shot Prompting of GPT-4 LLMs with BERT Classifiers for Open-Response Assessment in Tutor Equity Training. CoRR abs/2501.06658 (2025) - [i31]Conrad Borchers, Danielle R. Thomas, Jionghao Lin, Ralph Abboud, Kenneth R. Koedinger:
Augmenting Human-Annotated Training Data with Large Language Model Generation and Distillation in Open-Response Assessment. CoRR abs/2501.09126 (2025) - [i30]Vincent Aleven, Conrad Borchers, Yun Huang, Tomohiro Nagashima, Bruce M. McLaren, Paulo Carvalho, Octav Popescu, Jonathan Sewall, Kenneth R. Koedinger:
An Integrated Platform for Studying Learning with Intelligent Tutoring Systems: CTAT+TutorShop. CoRR abs/2502.10395 (2025) - [i29]Conrad Borchers, Tianze Shou:
Can Large Language Models Match Tutoring System Adaptivity? A Benchmarking Study. CoRR abs/2504.05570 (2025) - [i28]Eason Chen, Xinyi Tang, Aprille J. Xi, Chenyu Lin, Conrad Borchers, Shivang Gupta, Jionghao Lin, Kenneth R. Koedinger:
VTutor for High-Impact Tutoring at Scale: Managing Engagement and Real-Time Multi-Screen Monitoring with P2P Connections. CoRR abs/2505.07736 (2025) - [i27]Ashish Gurung, Jionghao Lin, Zhongtian Huang, Conrad Borchers, Ryan S. Baker, Vincent Aleven, Kenneth R. Koedinger:
Starting Seatwork Earlier as a Valid Measure of Student Engagement. CoRR abs/2505.13341 (2025) - [i26]Conrad Borchers, Xiaoyi Tian, Kristy Elizabeth Boyer, Maya Israel:
Combining Log Data and Collaborative Dialogue Features to Predict Project Quality in Middle School AI Education. CoRR abs/2506.11326 (2025) - [i25]Danielle R. Thomas, Conrad Borchers, Shambhavi Bhushan, Erin Gatz, Shivang Gupta, Kenneth R. Koedinger:
LLM-Generated Feedback Supports Learning If Learners Choose to Use It. CoRR abs/2506.17006 (2025) - [i24]Shambhavi Bhushan, Danielle R. Thomas, Conrad Borchers, Isha Raghuvanshi, Ralph Abboud, Erin Gatz, Shivang Gupta, Kenneth R. Koedinger:
Detecting LLM-Generated Short Answers and Effects on Learner Performance. CoRR abs/2506.17196 (2025) - [i23]Danielle R. Thomas, Conrad Borchers, Jionghao Lin, Sanjit Kakarla, Shambhavi Bhushan, Erin Gatz, Shivang Gupta, Ralph Abboud, Kenneth R. Koedinger:
Leveraging LLMs to Assess Tutor Moves in Real-Life Dialogues: A Feasibility Study. CoRR abs/2506.17410 (2025) - [i22]Meng Xia, Robin Schmucker, Conrad Borchers, Vincent Aleven:
Optimizing Mastery Learning by Fast-Forwarding Over-Practice Steps. CoRR abs/2506.17577 (2025) - [i21]Conrad Borchers, Bahar Shahrokhian, Francesco Balzan, Elham Tajik, Sreecharan Sankaranarayanan, Sebastian Simon:
Temperature and Persona Shape LLM Agent Consensus With Minimal Accuracy Gains in Qualitative Coding. CoRR abs/2507.11198 (2025) - [i20]Danielle R. Thomas, Conrad Borchers, Kenneth R. Koedinger:
Beyond Agreement: Rethinking Ground Truth in Educational AI Annotation. CoRR abs/2508.00143 (2025) - [i19]Yishan Du, Conrad Borchers, Mutlu Cukurova:
Benchmarking Educational LLMs with Analytics: A Case Study on Gender Bias in Feedback. CoRR abs/2511.08225 (2025) - [i18]Qinyi Liu, Lin Li, Valdemar Svábenský, Conrad Borchers, Mohammad Khalil:
Measuring the Impact of Student Gaming Behaviors on Learner Modeling. CoRR abs/2512.18659 (2025) - [i17]Conrad Borchers, Manit Patel, Seiyon M. Lee, Anthony F. Botelho:
Disentangling Learning from Judgment: Representation Learning for Open Response Analytics. CoRR abs/2512.23941 (2025) - 2024
- [c17]Conrad Borchers, Xinman Liu, Hakeoung Hannah Lee, Jiayi Zhang:
Ethical AIED and AIED Ethics: Toward Synergy Between AIED Research and Ethical Frameworks. AIED Companion (1) 2024: 18-31 - [c16]Kexin Bella Yang, Conrad Borchers, Ann-Christin Falhs, Vanessa Echeverría, Shamya Karumbaiah, Nikol Rummel, Vincent Aleven:
Leveraging Multimodal Classroom Data for Teacher Reflection: Teachers' Preferences, Practices, and Privacy Considerations. EC-TEL (1) 2024: 498-511 - [c15]Jiayi Zhang, Conrad Borchers, Vincent Aleven, Ryan S. Baker:
Using Large Language Models to Detect Self-Regulated Learning in Think-Aloud Protocols. EDM 2024 - [c14]Conrad Borchers, Yinuo Xu, Zachary A. Pardos:
Are You an Early Dropper or Late Shopper? Mining Enrollment Transaction Data to Study Procrastination in Higher Education. EDM 2024 - [c13]Conrad Borchers, Kexin Yang, Jionghao Lin, Nikol Rummel, Kenneth R. Koedinger, Vincent Aleven:
Combining Dialog Acts and Skill Modeling: What Chat Interactions Enhance Learning Rates During AI-Supported Peer Tutoring? EDM 2024 - [c12]Liang Zhang, Jionghao Lin, Conrad Borchers, John Sabatini, John Hollander, Meng Cao, Xiangen Hu:
Predicting Learning Performance with Large Language Models: A Study in Adult Literacy. HCI (44) 2024: 333-353 - [c11]Liang Zhang, Jionghao Lin, Conrad Borchers, Meng Cao, Xiangen Hu:
3DG: A Framework for Using Generative AI for Handling Sparse Learner Performance Data From Intelligent Tutoring Systems. LAK Workshops 2024: 173-184 - [c10]Conrad Borchers, Yeyu Wang, Shamya Karumbaiah, Muhammad Ashiq, David Williamson Shaffer, Vincent Aleven:
Revealing Networks: Understanding Effective Teacher Practices in AI-Supported Classrooms using Transmodal Ordered Network Analysis. LAK 2024: 371-381 - [c9]Conrad Borchers, Jiayi Zhang, Ryan S. Baker, Vincent Aleven:
Using Think-Aloud Data to Understand Relations between Self-Regulation Cycle Characteristics and Student Performance in Intelligent Tutoring Systems. LAK 2024: 529-539 - [c8]Frederik Baucks, Robin Schmucker, Conrad Borchers, Zachary A. Pardos, Laurenz Wiskott:
Gaining Insights into Group-Level Course Difficulty via Differential Course Functioning. L@S 2024: 165-176 - [d2]Valdemar Svábenský, Conrad Borchers, Elizabeth B. Cloude, Atsushi Shimada:
Supplementary Materials: Evaluating the Impact of Data Augmentation on Predictive Model Performance. Version 1. Zenodo, 2024 [all versions] - [d1]Valdemar Svábenský, Conrad Borchers, Elizabeth B. Cloude, Atsushi Shimada:
Supplementary Materials: Evaluating the Impact of Data Augmentation on Predictive Model Performance. Version 2. Zenodo, 2024 [all versions] - [i16]Liang Zhang, Jionghao Lin, Conrad Borchers, Meng Cao, Xiangen Hu:
3DG: A Framework for Using Generative AI for Handling Sparse Learner Performance Data From Intelligent Tutoring Systems. CoRR abs/2402.01746 (2024) - [i15]Zifei FeiFei Han, Jionghao Lin, Ashish Gurung, Danielle R. Thomas, Eason Chen, Conrad Borchers, Shivang Gupta, Kenneth R. Koedinger:
Improving Assessment of Tutoring Practices using Retrieval-Augmented Generation. CoRR abs/2402.14594 (2024) - [i14]Liang Zhang, Jionghao Lin, Conrad Borchers, John Sabatini, John Hollander, Meng Cao, Xiangen Hu:
Predicting Learning Performance with Large Language Models: A Study in Adult Literacy. CoRR abs/2403.14668 (2024) - [i13]Frederik Baucks, Robin Schmucker, Conrad Borchers, Zachary A. Pardos, Laurenz Wiskott:
Gaining Insights into Group-Level Course Difficulty via Differential Course Functioning. CoRR abs/2406.04348 (2024) - [i12]Liang Zhang, Jionghao Lin, John Sabatini, Conrad Borchers, Daniel Weitekamp III, Meng Cao, John Hollander, Xiangen Hu, Arthur C. Graesser:
Data Augmentation for Sparse Multidimensional Learning Performance Data Using Generative AI. CoRR abs/2409.15631 (2024) - [i11]Conrad Borchers, Ryan S. Baker:
ABROCA Distributions For Algorithmic Bias Assessment: Considerations Around Interpretation. CoRR abs/2411.19090 (2024) - [i10]Valdemar Svábenský, Conrad Borchers, Elizabeth B. Cloude, Atsushi Shimada:
Evaluating the Impact of Data Augmentation on Predictive Model Performance. CoRR abs/2412.02108 (2024) - [i9]Danielle R. Thomas, Conrad Borchers, Sanjit Kakarla, Jionghao Lin, Shambhavi Bhushan, Boyuan Guo, Erin Gatz, Kenneth R. Koedinger:
Does Multiple Choice Have a Future in the Age of Generative AI? A Posttest-only RCT. CoRR abs/2412.10267 (2024) - [i8]Conrad Borchers, Jeroen Ooge, Cindy Peng, Vincent Aleven:
How Learner Control and Explainable Learning Analytics on Skill Mastery Shape Student Desires to Finish and Avoid Loss in Tutored Practice. CoRR abs/2412.10568 (2024) - [i7]Danielle R. Thomas, Conrad Borchers, Sanjit Kakarla, Jionghao Lin, Shambhavi Bhushan, Boyuan Guo, Erin Gatz, Kenneth R. Koedinger:
Do Tutors Learn from Equity Training and Can Generative AI Assess It? CoRR abs/2412.11255 (2024) - [i6]Devika Venugopalan, Ziwen Yan, Conrad Borchers, Jionghao Lin, Vincent Aleven:
Combining Large Language Models with Tutoring System Intelligence: A Case Study in Caregiver Homework Support. CoRR abs/2412.11995 (2024) - [i5]Darren Butler, Conrad Borchers, Michael W. Asher, Yongmin Lee, Sonya Karnataki, Sameeksha Dangi, Samyukta Athreya, John C. Stamper, Amy Ogan, Paulo F. Carvalho:
Does the Doer Effect Exist Beyond WEIRD Populations? Toward Analytics in Radio and Phone-Based Learning. CoRR abs/2412.20923 (2024) - 2023
- [j1]Zachary A. Pardos, Conrad Borchers, Run Yu:
Credit hours is not enough: Explaining undergraduate perceptions of course workload using LMS records. Internet High. Educ. 56: 100882 (2023) - [c7]Shamya Karumbaiah, Conrad Borchers, Tianze Shou, Ann-Christin Falhs, Pinyang Liu, Tomohiro Nagashima, Nikol Rummel, Vincent Aleven:
A Spatiotemporal Analysis of Teacher Practices in Supporting Student Learning and Engagement in an AI-Enabled Classroom. AIED 2023: 450-462 - [c6]Conrad Borchers, Paulo F. Carvalho, Meng Xia, Pinyang Liu, Kenneth R. Koedinger, Vincent Aleven:
What Makes Problem-Solving Practice Effective? Comparing Paper and AI Tutoring. EC-TEL 2023: 44-59 - [c5]Conrad Borchers, Lennart Klein, Hayden Johnson, Christian Fischer:
Timing Matters: Inferring Educational Twitter Community Switching from Membership Characteristics. EDM 2023 - [c4]Tianze Shou, Conrad Borchers, Shamya Karumbaiah, Vincent Aleven:
Optimizing Parameters for Accurate Position Data Mining in Diverse Classrooms Layouts. EDM 2023 - [c3]Conrad Borchers, Zachary A. Pardos:
Insights into undergraduate pathways using course load analytics. LAK 2023: 219-229 - [i4]Conrad Borchers, Jiayi Zhang, Ryan Shaun Baker, Vincent Aleven:
Using Think-Aloud Data to Understand Relations between Self-Regulation Cycle Characteristics and Student Performance in Intelligent Tutoring Systems. CoRR abs/2312.05675 (2023) - [i3]Conrad Borchers, Yeyu Wang, Shamya Karumbaiah, Muhammad Ashiq, David Williamson Shaffer, Vincent Aleven:
Revealing Networks: Understanding Effective Teacher Practices in AI-Supported Classrooms using Transmodal Ordered Network Analysis. CoRR abs/2312.10826 (2023) - 2022
- [i2]Conrad Borchers, Dalia Sara Gala, Benjamin Gilburt, Eduard Oravkin, Wilfried Bounsi, Yuki M. Asano, Hannah Rose Kirk:
Looking for a Handsome Carpenter! Debiasing GPT-3 Job Advertisements. CoRR abs/2205.11374 (2022) - [i1]Conrad Borchers, Zachary A. Pardos:
Insights into undergraduate pathways using course load analytics. CoRR abs/2212.09974 (2022) - 2021
- [c2]Conrad Borchers, Joshua Rosenberg, Benjamin Gibbons, Macy Alana Burchfield, Christian Fischer:
To Scale or Not to Scale: Comparing Popular Sentiment Analysis Dictionaries on Educational Twitter Data. EDM 2021 - [c1]Macy Burchfield, Joshua Rosenberg, Conrad Borchers, Tayla Thomas, Benjamin Gibbons, Christian Fischer:
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. EDM 2021
Coauthor Index
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