Yang He, Cai Jin, Yang Harrison Hao, Wang Xiaochen
School of Computer, Hubei University of Education, Wuhan, 430205 China.
Wuhan Huada National E-Learning Technologies Co., Ltd, Central China Normal University, Wuhan, 430079 China.
J Comput High Educ. 2023;35(1):126-143. doi: 10.1007/s12528-022-09322-5. Epub 2022 May 26.
With the outbreak of the COVID-19 pandemic, blended learning became exceptionally widespread, especially in higher education. As a result, many college students became beginners in this learning method. To identify key factors that impact beginners' continuance intention in blended learning, this study surveyed 1845 first-year college students at a university in central China in the falls of 2020 and 2021 who used blended learning for the first time. Structural equation modeling was employed to verify a model that integrates intrinsic motivation and academic self-efficacy in the Expectation-Confirmation Model of Information System Continuance. The results show that performance expectancy, intrinsic motivation, and satisfaction significantly impact beginners' continuance intention in blended learning. Moreover, performance expectancy, intrinsic motivation, and confirmation significantly impact beginners' continuance intention through mediating variable satisfaction. Academic self-efficacy does not directly impact college students' continuance intention but indirectly impacts their continuance intention through intrinsic motivation. Finally, this study provides suggestions for educators to improve beginners' blended learning experience thus promoting their continuance intention in blended learning.
随着新冠疫情的爆发,混合式学习变得异常普遍,尤其是在高等教育领域。因此,许多大学生成为了这种学习方式的新手。为了确定影响新手在混合式学习中持续意愿的关键因素,本研究对2020年秋季和2021年秋季在中国中部一所大学首次使用混合式学习的1845名大一学生进行了调查。采用结构方程模型对信息系统持续使用期望确认模型中整合内在动机和学业自我效能感的模型进行验证。结果表明,绩效期望、内在动机和满意度显著影响新手在混合式学习中的持续意愿。此外,绩效期望、内在动机和确认通过中介变量满意度显著影响新手的持续意愿。学业自我效能感并不直接影响大学生的持续意愿,而是通过内在动机间接影响他们的持续意愿。最后,本研究为教育工作者提供了建议,以改善新手的混合式学习体验,从而提高他们在混合式学习中的持续意愿。