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Direct linkJonas Flodén – British Educational Research Journal, 2025
This study compares how the generative AI (GenAI) large language model (LLM) ChatGPT performs in grading university exams compared to human teachers. Aspects investigated include consistency, large discrepancies and length of answer. Implications for higher education, including the role of teachers and ethics, are also discussed. Three…
Descriptors: College Faculty, Artificial Intelligence, Comparative Testing, Scoring
Emily B. Goldberg; Sheila R. Pratt; Malcolm R. McNeil; Neil Szuminsky; Kenneth DeHaan; Leslie Q. Zhen – Journal of Speech, Language, and Hearing Research, 2025
Purpose: The present study assessed the test-retest reliability of the American Sign Language (ASL) version of the Computerized Revised Token Test (CRTT-ASL) and compared the differences and similarities between ASL and English reading by Deaf and hearing users of ASL. Method: Creation of the CRTT-ASL involved filming, editing, and validating CRTT…
Descriptors: American Sign Language, Reliability, Validity, Test Construction
Kershree Padayachee; M. Matimolane – Teaching in Higher Education, 2025
In the shift to Emergency Remote Teaching and Learning (ERT&L) during the COVID-19 pandemic, remote assessment and feedback became a major source of discontent and challenge for students and staff. This paper is a reflection and analysis of assessment practices during ERT&L, and our theorisation of the possibilities for shifts towards…
Descriptors: Educational Quality, Social Justice, Distance Education, Feedback (Response)
