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Authors: Yitong Wei, et al.

SAGE Open, Volume 12, Issue 2, April-June 2022.
Academic self-efficacy is identified as one of the strongest predictors of students’ academic performance. However, few studies have explored the factors that influence students’ academic self-efficacy in a blended learning environment. By developing a comprehensive model, this study investigates the main factors that influence students’ academic self-efficacy in blended learning from the personal, interpersonal, and environmental perspectives. The relevant information was acquired through a questionnaire survey. The participants included 366 college students at a university in central China. Hierarchical regression analysis shows that intrinsic motivation, extrinsic motivation, instructor support, performance expectancy, and facilitating conditions are significant predictors of students’ academic self-efficacy in blended learning. The findings expand the understanding of students’ academic self-efficacy in technology-enhanced learning environments and provide valuable insights that could help to improve the appropriateness of instructional design in blended learning courses.

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