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Metacognitive Strategies, Language Learning Motivation, Self-Efficacy Belief, and English Achievement During Remote Learning: A Structural Equation Modelling Approach
RELC Journal ; : 1, 2021.
Article in English | Academic Search Complete | ID: covidwho-1495837
ABSTRACT
Metacognitive strategies, language learning motivation, and self-efficacy belief are crucial to online or remote learning success. The purpose of the present study was to evaluate the interrelationship among metacognitive strategies, language learning motivation, self-efficacy belief, and English learning achievement. The data were collected from three surveys and an English test. The participants were 590 Chinese university students. The findings revealed that self-efficacy belief predicts English learning achievement. In particular, metacognitive strategies and language learning motivation mediate the predictive effects of self-efficacy belief on English learning achievement. The findings show the potential of enhancing online English learning achievement by facilitating learners’ self-efficacy belief, motivation, and metacognitive strategies. Implications can be gained for remote learning within and beyond the coronavirus (COVID-19) context. [ABSTRACT FROM AUTHOR] Copyright of RELC Journal is the property of Sage Publications, Ltd. and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Full text: Available Collection: Databases of international organizations Database: Academic Search Complete Language: English Journal: RELC Journal Year: 2021 Document Type: Article

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Full text: Available Collection: Databases of international organizations Database: Academic Search Complete Language: English Journal: RELC Journal Year: 2021 Document Type: Article