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Andrea Fernández-Sánchez; Juan José Lorenzo-Castiñeiras; Ana Sánchez-Bello – European Journal of Education, 2025
The advent of artificial intelligence (AI) technologies heralds a transformative era in education. This study investigates the integration of AI tools in developing educational assessment rubrics within the 'Curriculum Design Development and Evaluation' course at the University of A Coruña during the 2023-2024 academic year. Employing an…
Descriptors: Foreign Countries, Higher Education, Artificial Intelligence, Technology Integration
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Li, Xu; Ouyang, Fan; Liu, Jianwen; Wei, Chengkun; Chen, Wenzhi – Journal of Educational Computing Research, 2023
The computer-supported writing assessment (CSWA) has been widely used to reduce instructor workload and provide real-time feedback. Interpretability of CSWA draws extensive attention because it can benefit the validity, transparency, and knowledge-aware feedback of academic writing assessments. This study proposes a novel assessment tool,…
Descriptors: Computer Assisted Testing, Writing Evaluation, Feedback (Response), Natural Language Processing
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Lloyd, D.; And Others – Assessment & Evaluation in Higher Education, 1996
In an engineering technology course at Coventry University (England), the utility of computer-assisted tests was compared with that of traditional paper-based tests. It was found that the computer-based technique was acceptable to students, produced valid results, and demonstrated potential for saving staff time. (Author/MSE)
Descriptors: Comparative Analysis, Computer Assisted Testing, Efficiency, Engineering Education
Van Nelson, C.; Henriksen, Larry W. – 1994
The potential for computer adaptive testing (CAT) has been well documented. In order to improve the efficiency of this process, it may be possible to utilize a neural network, or more specifically, a back propagation neural network. The paper asserts that in order to accomplish this end, it must be shown that grouping examinees by ability as…
Descriptors: Classification, College Freshmen, Computer Assisted Testing, Computer Uses in Education
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Vispoel, Walter P.; And Others – Applied Measurement in Education, 1994
Vocabulary fixed-item (FIT), computerized-adaptive (CAT), and self-adapted (SAT) tests were compared with 121 college students. CAT was more precise and efficient than SAT, which was more precise and efficient than FIT. SAT also yielded higher ability estimates for individuals with lower verbal self-concepts. (SLD)
Descriptors: Ability, Adaptive Testing, College Students, Comparative Analysis