AI Assisted Grading Increases Quality Feedback and Grading Efficiency in Undergraduate Chemistry Courses

06 June 2025, Version 1
This content is a preprint and has not undergone peer review at the time of posting.

Abstract

Online grading platforms constantly evolve to fit the needs of educational institutions. Current grading systems require significant involvement from instructors and graduate teaching assistants (GTAs) to provide feedback to the students, especially for laboratory-based courses. Here, we report our initial efforts using artificial intelligence (AI) assisted grading through StembleTM. Stemble is a grading platform designed for chemistry courses which provides AI-generated feedback to students. Our initial efforts in implementing this platform for more than 2000 students and 50+ GTAs have demonstrated that AI assisted grading provides more detailed feedback to students while decreasing grading time needed for GTAs to review students’ work.

Keywords

First-Year Undergraduate / General Educational Technology
Internet / Web-Based Learning
Artificial Intelligence

Supplementary materials

Title
Description
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Title
Examples and Surveys for Report of Using AI-Assisted Grading in Stemble
Description
PDF file contains information on course setup, assignment setup, and grading in Stemble, examples of feedback in Gradescope and Stemble, and TA and student surveys with IRB information
Actions

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