To Scale or Not to Scale: Comparing Popular Sentiment Analysis Dictionaries on Educational Twitter Data. - Conrad Borchers; Joshua Rosenberg 001; Benjamin Gibbons; Macy Alana Burchfield; Christian Fischer 007 (EDM, 2021)

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 001; Conrad Borchers; Tayla Thomas; Benjamin Gibbons; Christian Fischer 007 (EDM, 2021)

Looking for a Handsome Carpenter! Debiasing GPT-3 Job Advertisements. - Conrad Borchers; Dalia Sara Gala; Benjamin Gilburt; Eduard Oravkin; Wilfried Bounsi; Yuki M. Asano; Hannah Rose Kirk (CoRR, 2022)

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 (AIED, 2023)

What Makes Problem-Solving Practice Effective? Comparing Paper and AI Tutoring. - Conrad Borchers; Paulo F. Carvalho; Meng Xia 002; Pinyang Liu; Kenneth R. Koedinger; Vincent Aleven (EC-TEL, 2023)

Timing Matters: Inferring Educational Twitter Community Switching from Membership Characteristics. - Conrad Borchers; Lennart Klein; Hayden Johnson; Christian Fischer 007 (EDM, 2023)

Optimizing Parameters for Accurate Position Data Mining in Diverse Classrooms Layouts. - Tianze Shou; Conrad Borchers; Shamya Karumbaiah; Vincent Aleven (EDM, 2023)

Insights into undergraduate pathways using course load analytics. - Conrad Borchers; Zachary A. Pardos (LAK, 2023)

Credit hours is not enough: Explaining undergraduate perceptions of course workload using LMS records. - Zachary A. Pardos; Conrad Borchers; Run Yu 002 (Internet High. Educ., 2023)

Ethical AIED and AIED Ethics: Toward Synergy Between AIED Research and Ethical Frameworks. - Conrad Borchers; Xinman Liu; Hakeoung Hannah Lee; Jiayi Zhang 004 (AIED Companion (1), 2024)

Leveraging Multimodal Classroom Data for Teacher Reflection: Teachers' Preferences, Practices, and Privacy Considerations. - Kexin Bella Yang; Conrad Borchers; Ann-Christin Falhs; Vanessa Echeverría; Shamya Karumbaiah; Nikol Rummel; Vincent Aleven (EC-TEL (1), 2024)

Using Large Language Models to Detect Self-Regulated Learning in Think-Aloud Protocols. - Jiayi Zhang 004; Conrad Borchers; Vincent Aleven; Ryan S. Baker 001 (EDM, 2024)

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 (EDM, 2024)

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 (EDM, 2024)

Predicting Learning Performance with Large Language Models: A Study in Adult Literacy. - Liang Zhang; Jionghao Lin; Conrad Borchers; John Sabatini 001; John Hollander; Meng Cao; Xiangen Hu (HCI (44), 2024)

Using Think-Aloud Data to Understand Relations between Self-Regulation Cycle Characteristics and Student Performance in Intelligent Tutoring Systems. - Conrad Borchers; Jiayi Zhang 004; Ryan S. Baker 001; Vincent Aleven (LAK, 2024)

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 (LAK, 2024)

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 (LAK Workshops, 2024)

Gaining Insights into Group-Level Course Difficulty via Differential Course Functioning. - Frederik Baucks; Robin Schmucker; Conrad Borchers; Zachary A. Pardos; Laurenz Wiskott (L@S, 2024)

Improving Assessment of Tutoring Practices using Retrieval-Augmented Generation. - Zifei FeiFei Han; Jionghao Lin; Ashish Gurung; Danielle R. Thomas; Eason Chen; Conrad Borchers; Shivang Gupta; Kenneth R. Koedinger (CoRR, 2024)

How Learner Control and Explainable Learning Analytics on Skill Mastery Shape Student Desires to Finish and Avoid Loss in Tutored Practice. - Conrad Borchers; Jeroen Ooge; Cindy Peng; Vincent Aleven (CoRR, 2024)

Does the Doer Effect Exist Beyond 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 F. Carvalho (CoRR, 2024)

Supplementary Materials: Evaluating the Impact of Data Augmentation on Predictive Model Performance. - Valdemar Svábenský; Conrad Borchers; Elizabeth B. Cloude; Atsushi Shimada 001 (Zenodo, 2024)

Supplementary Materials: Evaluating the Impact of Data Augmentation on Predictive Model Performance. - Valdemar Svábenský; Conrad Borchers; Elizabeth B. Cloude; Atsushi Shimada 001 (Zenodo, 2024)

Engagement and Learning Benefits of Goal Setting with Rewards in Human-AI Tutoring. - Conrad Borchers; Alex Houk; Vincent Aleven; Kenneth R. Koedinger (AIED (4), 2025)

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 (AIED (6), 2025)

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 (AIED (5), 2025)

Can Large Language Models Match Tutoring System Adaptivity? A Benchmarking Study. - Conrad Borchers; Tianze Shou (AIED (2), 2025)

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 Strauß; Sree Aurovindh Viswanathan; Amine Hatun Atas; Mia Carapina; Li Liang; Berkan Celik (AIED (3), 2025)

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 (AIED (5), 2025)

Detecting LLM-Generated Short Answers and Effects on Learner Performance. - Shambhavi Bhushan; Danielle R. Thomas; Conrad Borchers; Isha Raghuvanshi; Ralph Abboud; Erin Gatz; Shivang Gupta; Kenneth R. Koedinger (EC-TE (1), 2025)

Goal Setting Engages More Caregivers in Online Math Homework than Instructional Support. - Conrad Borchers; Ha Tien Nguyen; Paulo F. Carvalho; Kenneth R. Koedinger; Vincent Aleven (EC-TE (1), 2025)

Is More Gamification Better? Evaluating Playful Interactions and Narratives for Algebra Learning. - Conrad Borchers; Tomohiro Nagashima; Pinyang Liu; Martha W. Alibali; Vincent Aleven (EC-TE (1), 2025)

Designing the Course Load Analytics Platform. - Conrad Borchers; Shreya K. Sheel; Anirudh Pai; Sher Shah; Zachary A. Pardos (EC-TEL (2), 2025)

How Expertise Levels Shape Preferences and Reflection Needs: Towards AI Reflection Systems for Teacher Empowerment. - Ann-Christin Falhs; Conrad Borchers; Vanessa Echeverría; Kexin Bella Yang; Nikol Rummel; Vincent Aleven (EC-TEL (2), 2025)

Error Classification in Stoichiometry Tutoring Systems with Different Levels of Scaffolding: Comparing Rule-Based Classification and Machine Learning. - Hendrik Fleischer; Conrad Borchers; Sascha Schanze; Vincent Aleven (EC-TEL (2), 2025)

Using Log Data to Analyze the Impact of Adaptive Support on Self-Regulated Learning in Adult Online Education. - Katharina Teich; Conrad Borchers; Nikol Rummel (EC-TE (1), 2025)

LLM-Generated Feedback Supports Learning if Learners Choose to Use it. - Danielle R. Thomas; Conrad Borchers; Shambhavi Bhushan; Erin Gatz; Shivang Gupta; Kenneth R. Koedinger (EC-TE (1), 2025)

Leveraging LLMs to Assess Tutor Moves in Real-Life Dialogues: A Feasibility Study. - Danielle R. Thomas; Conrad Borchers; Jionghao Lin; Sanjit Kakarla; Shambhavi Bhushan; Erin Gatz; Shivang Gupta; Ralph Abboud; Kenneth R. Koedinger (EC-TEL (2), 2025)

Optimizing Mastery Learning by Fast-Forwarding Over-Practice Steps. - Meng Xia 002; Robin Schmucker; Conrad Borchers; Vincent Aleven (EC-TE (1), 2025)

Toward Sufficient Statistical Power in Algorithmic Bias Assessment: A Test for ABROCA. - Conrad Borchers (EDM, 2025)

Does Student Learning Rate Depend on Feedback Type and Prior Knowledge? - Hendrik Fleischer; Arne Noglik; Conrad Borchers; Sascha Schanze (EDM, 2025)

Starting Seatwork Earlier as a Valid Measure of Student Engagement. - Ashish Gurung; Jionghao Lin; Zhongtian Huang; Conrad Borchers; Ryan Baker 001; Vincent Aleven; Kenneth R. Koedinger (EDM, 2025)

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 (EDM, 2025)

ABROCA Distributions For Algorithmic Bias Assessment: Considerations Around Interpretation. - Conrad Borchers; Ryan S. Baker 001 (LAK, 2025)

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 (LAK, 2025)

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 004 (LAK, 2025)

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 (LAK Workshops, 2025)

Evaluating the Impact of Data Augmentation on Predictive Model Performance. - Valdemar Svábenský; Conrad Borchers; Elizabeth B. Cloude; Atsushi Shimada 001 (LAK, 2025)

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 (LAK, 2025)

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 (LAK, 2025)

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 (LAK, 2025)

High scaffolding of an unfamiliar strategy improves conceptual learning but reduces enjoyment compared to low scaffolding and strategy freedom. - Conrad Borchers; Hendrik Fleischer; Sascha Schanze; Katharina Scheiter; Vincent Aleven (Comput. Educ., 2025)

Data Augmentation for Sparse Multidimensional Learning Performance Data Using Generative AI. - Liang Zhang; Jionghao Lin; John Sabatini 001; Conrad Borchers; Daniel Weitekamp III; Meng Cao; John Hollander; Xiangen Hu; Arthur C. Graesser (IEEE Trans. Learn. Technol., 2025)

Comparing Few-Shot Prompting of GPT-4 LLMs with BERT Classifiers for Open-Response Assessment in Tutor Equity Training. - Sanjit Kakarla; Conrad Borchers; Danielle Thomas; Shambhavi Bhushan; Kenneth R. Koedinger (CoRR, 2025)

Augmenting Human-Annotated Training Data with Large Language Model Generation and Distillation in Open-Response Assessment. - Conrad Borchers; Danielle R. Thomas; Jionghao Lin; Ralph Abboud; Kenneth R. Koedinger (CoRR, 2025)

An Integrated Platform for Studying Learning with Intelligent Tutoring Systems: CTAT+TutorShop. - Vincent Aleven; Conrad Borchers; Yun Huang 002; Tomohiro Nagashima; Bruce M. McLaren; Paulo Carvalho 004; Octav Popescu; Jonathan Sewall; Kenneth R. Koedinger (CoRR, 2025)

VTutor for High-Impact Tutoring at Scale: Managing Engagement and Real-Time Multi-Screen Monitoring with P2P Connections. - Eason Chen; Xinyi Tang; Aprille J. Xi; Chenyu Lin; Conrad Borchers; Shivang Gupta; Jionghao Lin; Kenneth R. Koedinger (CoRR, 2025)

Combining Log Data and Collaborative Dialogue Features to Predict Project Quality in Middle School AI Education. - Conrad Borchers; Xiaoyi Tian 001; Kristy Elizabeth Boyer; Maya Israel (CoRR, 2025)

Temperature and Persona Shape LLM Agent Consensus With Minimal Accuracy Gains in Qualitative Coding. - Conrad Borchers; Bahar Shahrokhian; Francesco Balzan; Elham Tajik; Sreecharan Sankaranarayanan; Sebastian Simon (CoRR, 2025)

Beyond Agreement: Rethinking Ground Truth in Educational AI Annotation. - Danielle R. Thomas; Conrad Borchers; Kenneth R. Koedinger (CoRR, 2025)