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Conrad Borchers

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2024
[c17]
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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]
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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]
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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]
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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]
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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]
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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]
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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]
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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]
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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]
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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
[i9]
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  - journals/corr/abs-2402-01746
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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)
[i8]
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  - journals/corr/abs-2402-14594
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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)
[i7]
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  - journals/corr/abs-2403-14668
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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)
[i6]
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  - journals/corr/abs-2406-04348
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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)
[i5]
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  - journals/corr/abs-2409-15631
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Liang Zhang, Jionghao Lin, John Sabatini, Conrad Borchers, Daniel Weitekamp, 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)
2023
[j1]
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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]
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  - conf/aied/KarumbaiahBSFLN23
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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]
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  - conf/ectel/BorchersCXLKA23
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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]
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Conrad Borchers, Lennart Klein, Hayden Johnson, Christian Fischer:
Timing Matters: Inferring Educational Twitter Community Switching from Membership Characteristics. EDM 2023
[c4]
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Tianze Shou, Conrad Borchers, Shamya Karumbaiah, Vincent Aleven:
Optimizing Parameters for Accurate Position Data Mining in Diverse Classrooms Layouts. EDM 2023
[c3]
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Conrad Borchers, Zachary A. Pardos:
Insights into undergraduate pathways using course load analytics. LAK 2023: 219-229
[i4]
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  - journals/corr/abs-2312-05675
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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]
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  - journals/corr/abs-2312-10826
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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]
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  - journals/corr/abs-2205-11374
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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]
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  - journals/corr/abs-2212-09974
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Conrad Borchers, Zachary A. Pardos:
Insights into undergraduate pathways using course load analytics. CoRR abs/2212.09974 (2022)
2021
[c2]
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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]
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  - conf/edm/Burchfield0BTG021
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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

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