Concurrent Session #3: AI-Based Grading for Small Classes
Location
Cape Florida C
Start Date
24-9-2023 2:00 PM
End Date
24-9-2023 2:30 PM
Description
This proposed discussion explores the idea of AI-based grading for small classes and the challenges it poses. While AI-based grading through supervised learning has shown success in large classes, its feasibility in small classes is limited due to insufficient training data. In such cases, utilizing a detailed rubric and leveraging a Large Language Model (LLM) becomes essential. This discussion aims to investigate the effectiveness and acceptability of this approach. By examining the advantages and limitations of rubric-based grading with LLM assistance, this discussion seeks to provide insights into alternative grading methods suitable for small classes.
Recommended Citation
Shah, Piyush, "Concurrent Session #3: AI-Based Grading for Small Classes" (2023). Teaching and Learning with AI Conference Presentations. 39.
https://stars.library.ucf.edu/teachwithai/2023/sunday/39
Concurrent Session #3: AI-Based Grading for Small Classes
Cape Florida C
This proposed discussion explores the idea of AI-based grading for small classes and the challenges it poses. While AI-based grading through supervised learning has shown success in large classes, its feasibility in small classes is limited due to insufficient training data. In such cases, utilizing a detailed rubric and leveraging a Large Language Model (LLM) becomes essential. This discussion aims to investigate the effectiveness and acceptability of this approach. By examining the advantages and limitations of rubric-based grading with LLM assistance, this discussion seeks to provide insights into alternative grading methods suitable for small classes.