A latent profile analysis of students’ motivation of engaging in one-to-one computing environment for English learning

Li, Shan and Zheng, Juan (2018) A latent profile analysis of students’ motivation of engaging in one-to-one computing environment for English learning. EAI Endorsed Transactions on e-Learning, 5 (17): 4. ISSN 2032-9253

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Abstract

This study used latent profile analysis to cluster students into three groups with homogenous motivational profiles based on self-reported self-efficacy, task value and task anxiety measures obtained from 263 middle school students. The results demonstrated that there were distinct motivation profiles among students while engaging in a one-to-one computing environment for English learning, which resulted in differences on their performance. In general, this eLearning environment had a significant positive effect on students’ learning achievements regardless of various motivation profiles. But students with high self-efficacy, task value while low task anxiety performed better than those in other profiles. This study also suggested that task anxiety impeded students from benefiting from the one-to-one computing environment, but it could not significantly affect students’ learning outcomes. The profiling of student motivation orientations enhanced our understanding of the complex interactions of various motivational components and extended our existing knowledge in this emerging area of student learning. Besides, the findings inform future interventions in curriculum design and effective scaffoldings.

Item Type: Article
Uncontrolled Keywords: one-to-one computing environment, latent profile analysis, self-efficacy, task value, task anxiety
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
QA75 Electronic computers. Computer science
Depositing User: EAI Editor I.
Date Deposited: 16 Sep 2020 12:28
Last Modified: 16 Sep 2020 12:28
URI: https://eprints.eudl.eu/id/eprint/347

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