Jionghao Lin

Using Large Language Models to Provide Explanatory Feedback to Human Tutors

2023 · arXiv (Cornell University)

Research demonstrates learners engaging in the process of producing explanations to support their reasoning, can have a positive impact on learning. However, providing learners real-time explanatory feedback often presents challenges related to classification accuracy, particularly …

Bridging Global Pretraining and Similarity-Based Local Fine-Tuning in GAIN for Imputing Sparse Learner Performance Data

2025

Learner performance data (e.g., correct or incorrect responses) from the interaction logs of Intelligent Tutoring Systems (ITSs) are often sparse, hindering accurate predictions of learner performance and the delivery of effective, adaptive feedback. To address …