Artificial intelligence on the advance to enhance educational assessment: Scientific clickbait or genuine gamechanger?

被引:4
作者
Zehner, Fabian [1 ,2 ]
Hahnel, Carolin [1 ,2 ]
机构
[1] DIPF Leibniz Inst Res & Informat Educ, Ctr Technol Based Assessment TBA, Frankfurt, Germany
[2] Ctr Int Student Assessment ZIB eV, Frankfurt, Germany
关键词
artificial intelligence; educational assessment; log data analysis; machine learning; natural language processing;
D O I
10.1111/jcal.12810
中图分类号
G40 [教育学];
学科分类号
040101 ; 120403 ;
摘要
Contributions in the Special Issue: The special issue assembles papers centring around log data analysis, natural language processing, and machine learning used to advance educational assessment. They demonstrate how semi- and unstructured data such as log and text data can, despite their challenging nature, be handled appropriately to benefit educational assessment. In this editorial, we contextualize the special issue's contributions within the diverse field of modern technology-based assessments. Reflection on Terminology: Moreover, we raise concerns about nowadays' use of the term artificial intelligence (AI) in scientific communication. While the contribution of AI to scientific progress is indisputable, the mere use of methods that have evolved within AI research does not necessarily render tools or studies AI-related. We argue that academics have the social responsibility to adopt accurate terminology, given it is integral to scientific rigour and proper scientific communication.
引用
收藏
页码:695 / 702
页数:8
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