Conrad Borchers

According to our database, Conrad Borchers authored at least 61 papers between 2021 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2025

Beyond Agreement: Rethinking Ground Truth in Educational AI Annotation.

Danielle R. Thomas, Conrad Borchers, Kenneth R. Koedinger

CoRR, August, 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, July, 2025

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

CoRR, June, 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, May, 2025

An Integrated Platform for Studying Learning with Intelligent Tutoring Systems: CTAT+TutorShop.

Vincent Aleven, Conrad Borchers, Yun Huang, Tomohiro Nagashima, Bruce M. McLaren, Paulo Carvalho, Octav Popescu, Jonathan Sewall, Kenneth R. Koedinger

CoRR, February, 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, January, 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, January, 2025

Data Augmentation for Sparse Multidimensional Learning Performance Data Using Generative AI.

Liang Zhang, Jionghao Lin, John Sabatini, Conrad Borchers, Daniel Weitekamp III, Meng Cao, John Hollander, Xiangen Hu, Arthur C. Graesser

IEEE Trans. Learn. Technol., 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

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

Proceedings of the 15th International Learning Analytics and Knowledge Conference, 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

Proceedings of the 15th International Learning Analytics and Knowledge Conference, 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

Proceedings of the 15th International Learning Analytics and Knowledge Conference, 2025

Evaluating the Impact of Data Augmentation on Predictive Model Performance.

Valdemar Svábenský, Conrad Borchers, Elizabeth B. Cloude, Atsushi Shimada

Proceedings of the 15th International Learning Analytics and Knowledge Conference, 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

Proceedings of the Joint Proceedings of LAK 2025 Workshops co-located with 15th International Conference on Learning Analytics and Knowledge (LAK 2025), 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

Proceedings of the 15th International Learning Analytics and Knowledge Conference, 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

Proceedings of the 15th International Learning Analytics and Knowledge Conference, 2025

ABROCA Distributions For Algorithmic Bias Assessment: Considerations Around Interpretation.

Conrad Borchers, Ryan S. Baker

Proceedings of the 15th International Learning Analytics and Knowledge Conference, 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

Proceedings of the 18th International Conference on Educational Data Mining, 2025

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

Proceedings of the 18th International Conference on Educational Data Mining, 2025

Does Student Learning Rate Depend on Feedback Type and Prior Knowledge?

Hendrik Fleischer, Arne Noglik, Conrad Borchers, Sascha Schanze

Proceedings of the 18th International Conference on Educational Data Mining, 2025

Toward Sufficient Statistical Power in Algorithmic Bias Assessment: A Test for ABROCA.

Conrad Borchers

Proceedings of the 18th International Conference on Educational Data Mining, 2025

Optimizing Mastery Learning by Fast-Forwarding Over-Practice Steps.

Meng Xia, Robin Schmucker, Conrad Borchers, Vincent Aleven

Proceedings of the Two Decades of TEL. From Lessons Learnt to Challenges Ahead, 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

Proceedings of the Two Decades of TEL. From Lessons Learnt to Challenges Ahead, 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

Proceedings of the Two Decades of TEL. From Lessons Learnt to Challenges Ahead, 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

Proceedings of the Two Decades of TEL. From Lessons Learnt to Challenges Ahead, 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

Proceedings of the Two Decades of TEL. From Lessons Learnt to Challenges Ahead, 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

Proceedings of the Two Decades of TEL. From Lessons Learnt to Challenges Ahead, 2025

Designing the Course Load Analytics Platform.

Conrad Borchers, Shreya K. Sheel, Anirudh Pai, Sher Shah, Zachary A. Pardos

Proceedings of the Two Decades of TEL. From Lessons Learnt to Challenges Ahead, 2025

Is More Gamification Better? Evaluating Playful Interactions and Narratives for Algebra Learning.

Conrad Borchers, Tomohiro Nagashima, Pinyang Liu, Martha W. Alibali, Vincent Aleven

Proceedings of the Two Decades of TEL. From Lessons Learnt to Challenges Ahead, 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

Proceedings of the Two Decades of TEL. From Lessons Learnt to Challenges Ahead, 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

Proceedings of the Two Decades of TEL. From Lessons Learnt to Challenges Ahead, 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

Proceedings of the Artificial Intelligence in Education - 26th International Conference, 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

Proceedings of the Artificial Intelligence in Education - 26th International Conference, 2025

Can Large Language Models Match Tutoring System Adaptivity? A Benchmarking Study.

Conrad Borchers, Tianze Shou

Proceedings of the Artificial Intelligence in Education - 26th International Conference, 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

Proceedings of the Artificial Intelligence in Education - 26th International Conference, 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

Proceedings of the Artificial Intelligence in Education - 26th International Conference, 2025

Engagement and Learning Benefits of Goal Setting with Rewards in Human-AI Tutoring.

Conrad Borchers, Alex Houk, Vincent Aleven, Kenneth R. Koedinger

Proceedings of the Artificial Intelligence in Education - 26th International Conference, 2025

2024

Supplementary Materials: Evaluating the Impact of Data Augmentation on Predictive Model Performance.

Valdemar Svábenský, Conrad Borchers, Elizabeth B. Cloude, Atsushi Shimada

Dataset, December, 2024

Supplementary Materials: Evaluating the Impact of Data Augmentation on Predictive Model Performance.

Valdemar Svábenský, Conrad Borchers, Elizabeth B. Cloude, Atsushi Shimada

Dataset, November, 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

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

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

Gaining Insights into Group-Level Course Difficulty via Differential Course Functioning.

Frederik Baucks, Robin Schmucker, Conrad Borchers, Zachary A. Pardos, Laurenz Wiskott

Proceedings of the Eleventh ACM Conference on Learning @ Scale, 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

Proceedings of the Joint Proceedings of LAK 2024 Workshops co-located with 14th International Conference on Learning Analytics and Knowledge (LAK 2024), 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

Proceedings of the 14th Learning Analytics and Knowledge Conference, 2024

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

Proceedings of the 14th Learning Analytics and Knowledge Conference, 2024

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

Proceedings of the Adaptive Instructional Systems, 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

Proceedings of the 17th International Conference on Educational Data Mining, 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

Proceedings of the 17th International Conference on Educational Data Mining, 2024

Using Large Language Models to Detect Self-Regulated Learning in Think-Aloud Protocols.

Jiayi Zhang, Conrad Borchers, Vincent Aleven, Ryan S. Baker

Proceedings of the 17th International Conference on Educational Data Mining, 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

Proceedings of the Technology Enhanced Learning for Inclusive and Equitable Quality Education, 2024

Ethical AIED and AIED Ethics: Toward Synergy Between AIED Research and Ethical Frameworks.

Conrad Borchers, Xinman Liu, Hakeoung Hannah Lee, Jiayi Zhang

Proceedings of the Artificial Intelligence in Education. Posters and Late Breaking Results, Workshops and Tutorials, Industry and Innovation Tracks, Practitioners, Doctoral Consortium and Blue Sky, 2024

2023

Credit hours is not enough: Explaining undergraduate perceptions of course workload using LMS records.

Zachary A. Pardos, Conrad Borchers, Run Yu

Internet High. Educ., 2023

Insights into undergraduate pathways using course load analytics.

Conrad Borchers, Zachary A. Pardos

Proceedings of the LAK 2023: 13th International Learning Analytics and Knowledge Conference, 2023

Optimizing Parameters for Accurate Position Data Mining in Diverse Classrooms Layouts.

Tianze Shou, Conrad Borchers, Shamya Karumbaiah, Vincent Aleven

Proceedings of the 16th International Conference on Educational Data Mining, 2023

Timing Matters: Inferring Educational Twitter Community Switching from Membership Characteristics.

Conrad Borchers, Lennart Klein, Hayden Johnson, Christian Fischer

Proceedings of the 16th International Conference on Educational Data Mining, 2023

What Makes Problem-Solving Practice Effective? Comparing Paper and AI Tutoring.

Conrad Borchers, Paulo F. Carvalho, Meng Xia, Pinyang Liu, Kenneth R. Koedinger, Vincent Aleven

Proceedings of the Responsive and Sustainable Educational Futures, 2023

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

Proceedings of the Artificial Intelligence in Education - 24th International Conference, 2023

2022

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

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, Conrad Borchers, Tayla Thomas, Benjamin Gibbons, Christian Fischer

Proceedings of the 14th International Conference on Educational Data Mining, 2021

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

Proceedings of the 14th International Conference on Educational Data Mining, 2021