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Weipeng Yang; Xinyun Hu; Ibrahim H. Yeter; Jiahong Su; Yuqin Yang; John Chi-Kin Lee – Journal of Computer Assisted Learning, 2024
Background: Artificial Intelligence (AI) literacy is a crucial part of digital literacy that all individuals should possess in today's technologically advanced world. Despite the potential benefits that AI education offers, little research has been done on how to teach AI literacy to children. Objectives: This study aimed to fill that gap by…
Descriptors: Artificial Intelligence, Technology Uses in Education, Educational Technology, Digital Literacy
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Yang, Yuqin – Journal of Computer Assisted Learning, 2019
This study aimed to examine the role and process of reflective assessment supported by the Knowledge Connections Analyzer in helping low academic achievers to develop epistemic agency in knowledge building. The participants were 33 ninth-grade low achievers from a visual arts course in Hong Kong. A comparison class of 33 students, taught by the…
Descriptors: Reflection, Low Achievement, Academic Achievement, Epistemology
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He, Q.; Tymms, P. – Journal of Computer Assisted Learning, 2005
Computer-assisted assessment (CAA) has become increasingly important in education in recent years. A variety of computer software systems have been developed to help assess the performance of students at various levels. However, such systems are primarily designed to provide objective assessment of students and analysis of test items, and focus…
Descriptors: Foreign Countries, Computer Assisted Testing, Test Construction, Test Results