文章基本信息

标题：Are Computer Adaptive Tests suitable for assessment in MOOCs
其他标题：Are Computer Adaptive Tests suitable for assessment in MOOCs
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作者：Veronica Rossano ; Enrica Pesare ; Teresa Roselli 等
期刊名称：Je-LKS
印刷版ISSN：1826-6223
电子版ISSN：1971-8829
出版年度：2017
卷号：13
期号：3
页码：71-81
DOI：10.20368/1971-8829/1393
出版社：Casalini Libri
摘要：Assessment is one of the basic issues in both formal and informal educational contexts. Current online courses are massive and online, thus it is important to find new strategies for improve the effectiveness of evaluation. In MOOCs (Massive Open Online Courses), indeed, there is also the certification of knowledge and skills acquisition that requires more formal and trustworthy methods. Researchers should work to combine pedagogical and technological solutions to guarantee the effectiveness of learning measures. In this context, the Computer Adaptive Testing (CAT) could be useful to better measure the knowledge acquisition using a quiz, as usually happens in MOOCs. These are the premises of this research work that, in order to understand if CAT could be suitable for assessment in MOOCs, proposes a first algorithm to measure the acquired knowledge using a quiz-game. The pilot study attests the appreciation of users.
关键词：Educational Technology; Computer Science;computer adaptive test; e; learning; MOOCs