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Ishaya Gambo; Faith-Jane Abegunde; Omobola Gambo; Roseline Oluwaseun Ogundokun; Akinbowale Natheniel Babatunde; Cheng-Chi Lee – Education and Information Technologies, 2025
The current educational system relies heavily on manual grading, posing challenges such as delayed feedback and grading inaccuracies. Automated grading tools (AGTs) offer solutions but come with limitations. To address this, "GRAD-AI" is introduced, an advanced AGT that combines automation with teacher involvement for precise grading,…
Descriptors: Automation, Grading, Artificial Intelligence, Computer Assisted Testing
Terence G. Favero – Advances in Physiology Education, 2025
This article describes the implementation of alternative grading (AG) strategies in an upper-division kinesiology and functional human anatomy course. Traditional point-based grading systems can negatively impact student mental health, decrease intrinsic motivation, and hinder learning. To address these issues, a proficiency-based grading approach…
Descriptors: Alternative Assessment, Grading, Program Implementation, Kinesiology
Frederick M. Hess; Greg Fournier – Manhattan Institute for Policy Research, 2025
American colleges and universities are being scrutinized as never before. From rising tuition costs and allegations of plagiarism at the highest levels to concerns about low rates of completion and the state of free inquiry on campus, four-year colleges in the U.S. are under the microscope. Yet one crucial issue that is too rarely accorded the…
Descriptors: College Students, Study Habits, Student Behavior, Time Management
Elizabeth L. Wetzler; Kenneth S. Cassidy; Margaret J. Jones; Chelsea R. Frazier; Nickalous A. Korbut; Chelsea M. Sims; Shari S. Bowen; Michael Wood – Teaching of Psychology, 2025
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…
Descriptors: Essays, Writing Evaluation, Scores, Evaluators
Meghan Velez; Zackery Reed; Darryl Chamberlain; Cihan Aydiner – Thresholds in Education, 2025
In fewer than two years, generative artificial intelligence (GenAI) has transformed the educational experience for both students and faculty. Writing feedback and evaluation tools like MyEssayFeedback, EssayGrader, and Markr have been released with the promise that faculty will be able to focus more on teaching than simply grading. However, the…
Descriptors: Writing Across the Curriculum, Artificial Intelligence, Feedback (Response), Scores
Ashley Russell; Laura Cruz – Biochemistry and Molecular Biology Education, 2025
Researchers and practitioners have identified the ability to read scientific literature effectively as a core competency in undergraduate STEM education, but comparatively little research has been conducted on how students engage, both cognitively and affectively, with advanced scientific research. This mixed-methods study assesses the process…
Descriptors: Reading Research, Reading Skills, Reading Comprehension, Scientific Research
Seval Kemal; Aysegül Liman-Kaban – Asian Journal of Distance Education, 2025
This study conducts a comprehensive analysis of the assessment of journal writing in English as a Foreign Language (EFL) at the secondary school level, comparing the performance of a Generative Artificial Intelligence (GenAI) platform with two human graders. Employing a convergent parallel mixed methods design, quantitative data were collected…
Descriptors: Artificial Intelligence, Secondary School Students, Feedback (Response), Writing Assignments

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