Student and Instructor Feedback on an AI-Assisted Grading Tool

A browser-based AI-assisted grading tool was deployed in an undergraduate mechanical engineering course, offering the instructor online grading capabilities, time savings, a transparent and unbiased evaluation process, personalized feedback, and detailed analytics for student performance visualization.A Likert-scale-based survey instrument gauged responses from a cohort of undergraduate mechanical engineering students, probing the efficiency of Gradescope, grading transparency, bias reduction, and overall satisfaction.Preliminary analysis indicates positive sentiment, with students expressing satisfaction with the speed and transparency of grading.The platform's ability to provide detailed feedback on problem-solving steps emerged as a significant benefit, contributing to a more standardized and unbiased grading experience.This study offers nuanced insights into student perspectives on technology-enhanced grading tools, contributing to discussions on digital platforms in academia.