Examining key factors of beginner's continuance intention in blended learning in higher education

被引:25
作者
Yang, He [1 ,2 ]
Cai, Jin [1 ]
Yang, Harrison Hao [3 ,4 ]
Wang, Xiaochen [5 ]
机构
[1] Hubei Univ Educ, Sch Comp, Wuhan 430205, Peoples R China
[2] Cent China Normal Univ, Wuhan Huada Natl Elearning Technol Co Ltd, Wuhan 430079, Peoples R China
[3] SUNY Coll Oswego, Sch Educ, 4060 Route 104, Oswego, NY 13126 USA
[4] Cent China Normal Univ, Natl Engn Res Ctr Elearning, Wuhan 430079, Peoples R China
[5] Capital Normal Univ, Coll Teacher Educ, Beijing 100091, Peoples R China
基金
中国博士后科学基金;
关键词
Blended learning; Continuance intention; Expectation-confirmation model; Intrinsic motivation; Academic self-efficacy; TECHNOLOGY ACCEPTANCE MODEL; SELF-DETERMINATION THEORY; INFORMATION-TECHNOLOGY; GENDER-DIFFERENCES; USER ACCEPTANCE; SATISFACTION; EXPECTATION; MOTIVATION; EFFICACY; FACULTY;
D O I
10.1007/s12528-022-09322-5
中图分类号
G40 [教育学];
学科分类号
040101 ; 120403 ;
摘要
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.
引用
收藏
页码:126 / 143
页数:18
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  • [1] Examining the Main Mobile Learning System Drivers' Effects: A Mix Empirical Examination of Both the Expectation-Confirmation Model (ECM) and the Technology Acceptance Model (TAM)
    Alshurideh, Muhammad
    Al Kurdi, Barween
    Salloum, Said A.
    [J]. PROCEEDINGS OF THE INTERNATIONAL CONFERENCE ON ADVANCED INTELLIGENT SYSTEMS AND INFORMATICS 2019, 2020, 1058 : 406 - 417
  • [2] [Anonymous], 2015, NMC horizon report: 2015 K-12 edition
  • [3] It's not about seat time: Blending, flipping, and efficiency in active learning classrooms
    Baepler, Paul
    Walker, J. D.
    Driessen, Michelle
    [J]. COMPUTERS & EDUCATION, 2014, 78 : 227 - 236
  • [4] Bandura A., 1977, SOCIAL LEARNING THEO, DOI DOI 10.1891/0889-8391.13.2.158
  • [5] Barclay D., 1995, TECHNOL STUDIES, V2, P285
  • [6] Understanding information systems continuance: An expectation-confirmation model
    Bhattacherjee, A
    [J]. MIS QUARTERLY, 2001, 25 (03) : 351 - 370
  • [7] INFORMATION TECHNOLOGY CONTINUANCE: A THEORETIC EXTENSION AND EMPIRICAL TEST
    Bhattacherjee, Anol
    Perols, Johan
    Sanford, Clive
    [J]. JOURNAL OF COMPUTER INFORMATION SYSTEMS, 2008, 49 (01) : 17 - 26
  • [8] Bonk C.J., 2012, HDB BLENDED LEARNING
  • [9] Brown S., 2010, ALL AC INT C AC ORG
  • [10] A Case Study to Promote Computational Thinking: The Lab Rotation Approach
    Cai, Jin
    Yang, Harrison Hao
    Gong, Di
    MacLeod, Jason
    Jin, Yao
    [J]. BLENDED LEARNING: ENHANCING LEARNING SUCCESS, 2018, 10949 : 393 - 403