Validity Arguments Meet Artificial Intelligence in Innovative Educational Assessment: A Discussion and Look Forward

IF 1.4 4区 心理学 Q3 PSYCHOLOGY, APPLIED
David W. Dorsey, Hillary R. Michaels
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引用次数: 1

Abstract

In this concluding article of the special issue, we provide an overall discussion and point to future emerging trends in AI that might shape our approach to validity and building validity arguments.

创新教育评估中的有效性论证与人工智能:探讨与展望
在本期特刊的最后一篇文章中,我们进行了全面的讨论,并指出了人工智能未来的新兴趋势,这些趋势可能会影响我们对有效性和建立有效性论证的方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
2.30
自引率
7.70%
发文量
46
期刊介绍: The Journal of Educational Measurement (JEM) publishes original measurement research, provides reviews of measurement publications, and reports on innovative measurement applications. The topics addressed will interest those concerned with the practice of measurement in field settings, as well as be of interest to measurement theorists. In addition to presenting new contributions to measurement theory and practice, JEM also serves as a vehicle for improving educational measurement applications in a variety of settings.
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