Conrad Borchers

According to our database, Conrad Borchers authored at least 14 papers between 2021 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of three.

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

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

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

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