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

Amanda Abiad, Bradley S. Richter, Maria Sophia Teresa Lee Padilla, María Assunção Flores, Jordan C. Thompson, Philip G. Lechner, Kimberly D. Edwards, Renée D. Link

2025Journal of Chemical Education5 citationsDOIOpen Access PDF

Abstract

High Resolution Image Download MS PowerPoint Slide Online grading platforms constantly evolve to meet 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 Stemble. Stemble is a grading platform designed for chemistry courses that 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 the grading time needed for GTAs to review students’ work.

Topics & Concepts

Grading (engineering)Computer scienceGraduate studentsHigher educationMathematics educationTeaching methodEngineering managementChemistryQuality assuranceMedical educationMultimediaMedical physicsBiomedical and Engineering EducationInnovative Teaching MethodsInnovations in Medical Education
AI-Assisted Grading Increases Quality Feedback and Grading Efficiency in Undergraduate Chemistry Courses | Litcius