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The Relationship Among Non-English Majors’ Autonomous Learning Ability, Learning Burnout and English Grades: A Structural Equation Modeling Study

  • Youkun Wang

    Youkun WANG is an associate professor in the College of Liberal Arts and Laws at Fujian Agriculture and Forestry University. Her research efforts have focused on psycholinguistics.

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Published/Copyright: May 16, 2019
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Abstract

This study aims to explore the relationship among autonomous learning ability, learning burnout and English grades by structural equation modeling. The survey of 481 non-English majors showed that autonomous learning ability, learning burnout and English grades correlated significantly with each other, and the structural equation model of the three variables was stable. This suggests that the stronger the autonomous learning ability, the lower the level of learning burnout, the higher the English grades. This empirical study shows that the autonomous learning ability of non-English majors can influence the level of learning burnout, which in turn influences English grades. Learning burnout can mediate the effects of autonomous learning ability on English grades.


* This research is supported by the Teaching Reform Project of Fujian Agriculture and Forestry University (111110011) (111418224), the Ninth Chinese Foreign Language Educational Fund of Chinese Foreign Language Education and Research Center (ZGWYJYJJ2018B92), and “The 13th Five-Year Plan” Project of Fujian Educational Science (FJJKCG18-001).


About the author

Youkun Wang

Youkun WANG is an associate professor in the College of Liberal Arts and Laws at Fujian Agriculture and Forestry University. Her research efforts have focused on psycholinguistics.

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Published Online: 2019-05-16
Published in Print: 2019-03-26

© 2019 FLTRP, Walter de Gruyter, Cultural and Education Section British Embassy

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