A prospective investigation of students' academic achievement and dropout in higher education: a Self-Determination Theory approach
We investigate a model based on Self-Determination Theory (SDT) to predict academic achievement and dropout intentions among biology students in higher education in Norway. Students (n = 754) from a representative national sample participated in this cross-sectional study. The results align with our...
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Published in | Educational psychology (Dorchester-on-Thames) Vol. 38; no. 9; pp. 1163 - 1184 |
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Main Authors | , , |
Format | Journal Article |
Language | English |
Published |
Dorchester-on-Thames
Routledge
21.10.2018
Taylor & Francis Ltd |
Subjects | |
Online Access | Get full text |
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Summary: | We investigate a model based on Self-Determination Theory (SDT) to predict academic achievement and dropout intentions among biology students in higher education in Norway. Students (n = 754) from a representative national sample participated in this cross-sectional study. The results align with our hypotheses and SDT assumptions. The model explains a substantial amount of the variance in academic achievement and dropout intentions. Specifically, autonomous motivation and perceived competence positively predict academic achievement and negatively predict dropout intentions. Controlled motivation is unrelated to academic achievement and is a positive predictor of dropout intentions. Furthermore, significant indirect effects show that need-supportive teachers and students' intrinsic aspirations positively predict academic achievement and negatively predict dropout intentions, via autonomous motivation and perceived competence. We recommend teachers to support students' need for autonomy, competence and relatedness, by providing choice and volition to facilitate autonomous motivation, and give students effectance-relevant feedback and optimal challenges to increase perceived competence. |
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Bibliography: | ObjectType-Article-1 SourceType-Scholarly Journals-1 content type line 23 ObjectType-Report-2 |
ISSN: | 0144-3410 1469-5820 |
DOI: | 10.1080/01443410.2018.1502412 |