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Benjamin M. Torsney; Sarah Rawls; Joseph I. Eisman; Catherine Pressimone Beckowski; Cheryl B. Torsney – Educational and Developmental Psychologist, 2025
Objective: The objective of this study was threefold: (a) to create a rubric for response complexity (RC), defined as an admixture of response length, grammatical diversity, categorisation, and sophistication; (b) to measure behavioural and cognitive engagement through students' written responses on a school-based written activity, and (c) to…
Descriptors: College Students, Learner Engagement, Responses, Difficulty Level
Ernesto Panadero; Pablo Delgado; Lucía Barrenetxea-Mínguez; David Zamorano; Leire Pinedo; Alazne Fernández-Ortube – European Journal of Psychology of Education, 2025
The students' dominant language might influence how they use and process a rubric and its subsequent effect on task performance. However, our knowledge about these effects is limited. This study investigates how the dominant language of students is associated with their rubric reading patterns and their task performance in a written landscape…
Descriptors: Foreign Countries, Undergraduate Students, Spanish Speaking, Language Dominance
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
David DiSabito; Lisa Hansen; Thomas Mennella; Josephine Rodriguez – New Directions for Teaching and Learning, 2025
This chapter investigates the integration of generative AI (GenAI), specifically ChatGPT, into institutional and course-level assessment at Western New England University. It explores the potential of GenAI to streamline the assessment process, making it more efficient, equitable, and objective. Through the development of a proprietary GenAI tool,…
Descriptors: Artificial Intelligence, Technology Uses in Education, Man Machine Systems, Educational Assessment