MedSimAI: Simulation and Formative Feedback Generation to Enhance Deliberate Practice in Medical Education.
CoRR, March, 2025
Benchmarking Generative AI for Scoring Medical Student Interviews in Objective Structured Clinical Examinations (OSCEs).
CoRR, January, 2025
The life cycle of large language models in education: A framework for understanding sources of bias.
Br. J. Educ. Technol., September, 2024
The Life Cycle of Large Language Models: A Review of Biases in Education.
CoRR, 2024
Enhancing Tutoring Effectiveness Through Automated Feedback: Preliminary Findings from a Pilot Randomized Controlled Trial on SAT Tutoring.
Proceedings of the Eleventh ACM Conference on Learning @ Scale, 2024
Knowledge Tracing Challenge: Optimal Activity Sequencing for Students.
CoRR, 2023
ChaTA: Towards an Intelligent Question-Answer Teaching Assistant using Open-Source LLMs.
CoRR, 2023
Automated Essay Scoring in Argumentative Writing: DeBERTeachingAssistant.
CoRR, 2023
From Human Days to Machine Seconds: Automatically Answering and Generating Machine Learning Final Exams.
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Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023
Assessing the efficacy of large language models in generating accurate teacher responses.
Proceedings of the 18th Workshop on Innovative Use of NLP for Building Educational Applications, 2023
A Dataset for Learning University STEM Courses at Scale and Generating Questions at a Human Level.
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Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023
Human Evaluation of Text-to-Image Models on a Multi-Task Benchmark.
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CoRR, 2022
A Dataset and Benchmark for Automatically Answering and Generating Machine Learning Final Exams.
CoRR, 2022