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Matt Bower; Jodie Torrington; Jennifer W. M. Lai; Peter Petocz; Mark Alfano – Education and Information Technologies, 2024
There has been widespread media commentary about the potential impact of generative Artificial Intelligence (AI) such as ChatGPT on the Education field, but little examination at scale of how educators believe teaching and assessment should change as a result of generative AI. This mixed methods study examines the views of educators (n = 318) from…
Descriptors: Artificial Intelligence, Teacher Evaluation, Surveys, Computer Assisted Testing
Oltman, Philip K. – 1994
The possibility exists that some people might be at a disadvantage in registering their responses to a computerized test if mouse manipulation were complicated. This would be of particular concern if some groups were differentially affected by the complexity of manipulation. This study analyzed data from a pilot test conducted in 1991 for the…
Descriptors: Computer Assisted Testing, Computer Literacy, Difficulty Level, Individual Differences
Powers, Donald E.; O'Neill, Kathleen – 1992
The objective of this study was to assess the degree to which the mode of administration of the computer-based Academic Skills Assessments of the "Praxis Series: Professional Assessments for Beginning Teachers" contributes to performance differences among test takers. Inexperienced or anxious computer users (Praxis pilot sample of 446…
Descriptors: Beginning Teachers, College Students, Computer Anxiety, Computer Assisted Testing
Tannenbaum, Richard J.; And Others – 1993
The purpose of this study was to determine if the 55 test specifications for the Praxis I: Academic Skills Assessments computer-based tests (CBT) and the Praxis I: Pre-Professional Skills Tests (PPST) were judged to be appropriate for entry-level vocational education teachers regardless of specialty area. The test specification statements were…
Descriptors: Academic Ability, Computer Assisted Testing, Evaluation Methods, Postsecondary Education