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An Empirical Examination of Goals, Student Approaches to Learning, and Adaptive Outcomes

Huy P Phan, Bing H Ngu

Research output: Chapter in Book/Report/Conference proceedingChapterResearchpeer-review

Abstract

This chapter examines the different structural pathways that explain deep learning, meaningful engagement, and academic achievement for students who are studying via distance (e.g., mastery-approach goal a deep approach to learning). At the same time, the chapter studies the inclination toward engagement of maladaptive practices (e.g., a mastery-avoidance goal a surface approach to learning). A correlational design was employed in the present study to explore a conceptual model of effective learning. First year university students (N = 236) were recruited participating in an online learning study. A path analysis of the data yielded some interesting results for discussion, namely: (i) mastery-avoidance goal a deep approach to learning (-ve association), (ii) a deep approach to learning absorption (+ve association), (iii) absorption academic achievement (+ve association), and (iv) a surface approach to learning academic achievement (-ve association). This empirical evidence, overall, has made significant theoretical contributions, especially in relation to our understanding of students’ learning experiences in academic contexts. A deep approach to learning, for example, is motivational and enables an individual to absorb in his/her academic studies. A surface approach to learning, in contrast, is more dysfunctional, resulting in low academic achievements.
Original languageEnglish
Title of host publicationStrategies for Deep learning with Digital Technology: Theories and Practices in Education
Editors Zheng, Robert Z
Place of PublicationNew York, United States of America
PublisherNova Science Publishers, Inc
Pages197-223
ISBN (Print)9781536131826, 9781536131833, 1536131830
Publication statusPublished - 2018

Publication series

NameEducation in a Competitive and Globalizing World

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