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Cechinel, Cristian; Ochoa, Xavier; Lemos dos Santos, Henrique; Carvalho Nunes, João Batista; Rodés, Virginia; Marques Queiroga, Emanuel – British Journal of Educational Technology, 2020
The growth of Learning Analytics (LA) as a research field has been extensively documented since its beginnings. This paper provides a broad overview of the publications that Latin American authors have published in the last years by performing a quantitative review of the literature (from 2011 to 2019). A total of 282 papers were collected and…
Descriptors: Data Analysis, Authors, Foreign Countries, Ethics
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Qin, Fen; Li, Kai; Yan, Jianyuan – British Journal of Educational Technology, 2020
Artificial Intelligence (AI) has penetrated the field of education. Trust has long been regarded as a driver for the acceptance of technology. Netnography and interviews were used to investigate trust in AI-based educational systems from the perspective of users. We identified the factors influencing trust in AI-based educational systems and…
Descriptors: Trust (Psychology), Artificial Intelligence, Classification, Context Effect
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Wu, Chih-Hung; Huang, Yueh-Min; Hwang, Jan-Pan – British Journal of Educational Technology, 2016
Affect can significantly influence education/learning. Thus, understanding a learner's affect throughout the learning process is crucial for understanding motivation. In conventional education/learning research, learner motivation can be known through postevent self-reported questionnaires. With the advance of affective computing technology,…
Descriptors: Computer Uses in Education, Educational Trends, Affective Behavior, Learning Motivation
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Heidt, Erhard U. – British Journal of Educational Technology, 1977
The author proposes that Guilford's structure-of-intellect model be used as a starting point for researchers studying the interaction of instructional media attributes with individual differences in cognitive variables. (BD)
Descriptors: Aptitude Treatment Interaction, Classification, Cognitive Style, Educational Media