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Jiangang Hao; Alina A. von Davier; Victoria Yaneva; Susan Lottridge; Matthias von Davier; Deborah J. Harris – Educational Measurement: Issues and Practice, 2024
The remarkable strides in artificial intelligence (AI), exemplified by ChatGPT, have unveiled a wealth of opportunities and challenges in assessment. Applying cutting-edge large language models (LLMs) and generative AI to assessment holds great promise in boosting efficiency, mitigating bias, and facilitating customized evaluations. Conversely,…
Descriptors: Evaluation Methods, Artificial Intelligence, Educational Change, Computer Software
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Bakker, Steven – Educational Measurement: Issues and Practice, 2012
A particular trait of the educational system under socialist reign was accountability at the input side--appropriate facilities, centrally decided curriculum, approved text-books, and uniformly trained teachers--but no control on the output. It was simply assumed that it met the agreed standards, which was, in turn, proven by the statistics…
Descriptors: Accountability, Social Problems, Ethics, Foreign Students
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Popham, W. James – Educational Measurement: Issues and Practice, 1992
Test developers have an obligation to create the most appropriate assessment instruments possible as L. J. Kilian argues, but whether they do or not, educators still are responsible for providing test preparation that is professionally ethical and educationally defensible. (SLD)
Descriptors: Educational Assessment, Elementary Secondary Education, Ethics, Evaluation Methods
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Kilian, Lawrence J. – Educational Measurement: Issues and Practice, 1992
Guidelines for appropriate test preparation practices are presented to ensure that tests used in high-stakes situations generate scores that represent their domains validly. These guidelines do not rely directly on two evaluative standards proposed by W. J. Popham (1991), although they share the concern for appropriate test preparation. (SLD)
Descriptors: Educational Assessment, Elementary Secondary Education, Ethics, Evaluation Criteria