Background: Generative artificial intelligence (AI) represents a potentially powerful, time-saving tool for grading student essays. However, little is known about how AI-generated essay scores compare to human instructor scores. Objective: The purpose of this study was to compare the essay grading scores produced by AI with those of human…

Electronic feedback given via word-processing software (e.g., track changes in Microsoft Word) allows for a simple way to provide feedback to students during the drafting process. Research has mostly focused on student attitudes toward electronic feedback, with little investigation of how feedback format might affect the quality of instructor…

This study explored graduate teaching assistant (GTA) grading on 480 papers across two writing assignments as integrated into large Introductory Psychology courses. We measured GTA accuracy, consistency, and commenting (feedback) quality. Results indicate that GTA graders improved, although unevenly, in accuracy and consistency from Time 1 to 2…

Experts have advocated anonymous grading as a means of eliminating actual or perceived evaluator bias in subjective student assessment. The utility of anonymity in assessment rests on whether information derived from student identity can unduly influence evaluation. The halo effect provides a conceptual background for why a bias might occur. In…

Discusses the use of holistic scoring in the introductory college psychology course. Presents data showing the reliability, validity, and efficiency of the holistic scoring of students' written work by teaching assistants. Argues that holistic scoring is a high quality, low cost approach to scoring written work in large classes. (SG)