Conrad Borchers
Orcid: 0000-0003-3437-8979
According to our database1,
Conrad Borchers
authored at least 21 papers
between 2021 and 2024.
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Bibliography
2024
Data Augmentation for Sparse Multidimensional Learning Performance Data Using Generative AI.
CoRR, 2024
CoRR, 2024
Gaining Insights into Group-Level Course Difficulty via Differential Course Functioning.
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.
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.
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.
Proceedings of the 14th Learning Analytics and Knowledge Conference, 2024
Predicting Learning Performance with Large Language Models: A Study in Adult Literacy.
Proceedings of the Adaptive Instructional Systems, 2024
Combining Dialog Acts and Skill Modeling: What Chat Interactions Enhance Learning Rates During AI-Supported Peer Tutoring?
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.
Proceedings of the 17th International Conference on Educational Data Mining, 2024
Using Large Language Models to Detect Self-Regulated Learning in Think-Aloud Protocols.
Proceedings of the 17th International Conference on Educational Data Mining, 2024
Leveraging Multimodal Classroom Data for Teacher Reflection: Teachers' Preferences, Practices, and Privacy Considerations.
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.
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.
Internet High. Educ., 2023
Proceedings of the LAK 2023: 13th International Learning Analytics and Knowledge Conference, 2023
Optimizing Parameters for Accurate Position Data Mining in Diverse Classrooms Layouts.
Proceedings of the 16th International Conference on Educational Data Mining, 2023
Timing Matters: Inferring Educational Twitter Community Switching from Membership Characteristics.
Proceedings of the 16th International Conference on Educational Data Mining, 2023
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.
Proceedings of the Artificial Intelligence in Education - 24th International Conference, 2023
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.
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.
Proceedings of the 14th International Conference on Educational Data Mining, 2021