文章基本信息

标题：Deep and Surface Processing of Instructor's Feedback in an Online Course
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作者：Kun Huang ; Xun Ge ; Victor Law 等
期刊名称：Educational Technology and Society
印刷版ISSN：1176-3647
电子版ISSN：1436-4522
出版年度：2017
卷号：20
期号：4
页码：247-260
出版社：IFETS - Attn Kinshuck
摘要：This study investigated the characteristics of deep and surface approaches to learning in online students responses to instructors qualitative feedback given to a multi-stage, ill-structured design project. Further, the study examined the relationships between approaches to learning and two learner characteristics: epistemic beliefs (EB) and need for closure (NFC). Four emerging themes were identified where the students approaches to learning spread along a spectrum of deep to surface learning: number of feedback items addressed, understanding of feedback, quality in addressing feedback, and holistic thinking. In addition, the maturity of EB was likely to be associated with students understanding of feedback and the systematic and relational thinking demonstrated in their responses to feedback. The relationship was unclear between NFC and deep/surface learning characteristics. The findings provide implications for the design of feedback to scaffold deep learning in ill-structured problem solving.
关键词：Approaches to learning; Deep learning; Epistemic beliefs; Feedback; Need for closure; Problem solving