Improvement of Students’ Autonomous Learning Behavior by Optimizing Foreign Language Blended Learning Mode

Xue Wang and Wei Zhang

SAGE Open, 2022, vol. 12, issue 1, 21582440211071108

Abstract: Given the significance of cultivating students’ autonomous learning ability, there is a need to develop an instructional model that can improve students’ awareness and behavior of autonomous learning, as well as to explore the effectiveness and optimization of this model effectively. Taking college English course as a case study, this paper constructs a blended learning mode based on SPOC, which combines advantages of online and offline teaching. 15 types of nonredundant sets resulting from 500 questionnaires has been explored, and the optimal factor combinations have been found out from 15 types with the technology of data mining to optimize the mode constructed previously. Optimized blended learning mode, emphasizing the optimal factors more, has been applied to College English curriculum design and teaching practice in China. Surveys of students’ achievement and autonomous learning behavior have been conducted after experiment. The results of the research indicate that the optimized blended learning mode will stimulate foreign language learners’ learning motivation, cultivate their autonomous learning ability, so as to construct and improve their autonomous learning behavior further.

Keywords: autonomous learning behavior; blended learning mode; foreign language teaching; teaching optimization; data mining (search for similar items in EconPapers)
Date: 2022
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Citations: View citations in EconPapers (3)

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Persistent link: https://EconPapers.repec.org/RePEc:sae:sagope:v:12:y:2022:i:1:p:21582440211071108

DOI: 10.1177/21582440211071108

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