Student Experience, Satisfaction and Commitment in Blended Learning: A Structural Equation Modelling Approach

被引:5
|
作者
Batista-Toledo, Santiago [1 ]
Gavilan, Diana [1 ]
机构
[1] Univ Complutense Madrid, Dept Mkt, Madrid 28040, Spain
关键词
higher education; student experience; blended learning; satisfaction; commitment; ACHIEVEMENT;
D O I
10.3390/math11030749
中图分类号
O1 [数学];
学科分类号
0701 ; 070101 ;
摘要
The COVID-19 pandemic led to higher education institutions adopting alternative teaching models to continue their work while complying with health measures. Specifically, in Spain, once the lockdown period was over, universities adopted the blended learning (BL) model, which allowed for a partial return to the classroom. The BL model meant a completely new approach for students that impacted their learning experience. Using structural equation modelling (SEM), this paper explores in-depth students' experience with BL-social-behavioural, cognitive-affective, sensory and formative-and tests the impact of BL on students' satisfaction and their commitment to learning. Data were collected from a sample of 467 undergraduate students at Complutense University of Madrid (Spain) who filled out a self-administered questionnaire. The model proposed shows fit indices above the recommended thresholds, indicating an adequate model fit. Results suggest a positive influence of the different dimensions of BL experience on satisfaction. In addition, satisfaction with BL had a positive impact on students' affective commitment. Going by these results, the students' experience with BL has been positive, increasing their willingness to study. Finally, the implications of these results for higher educational institutions are discussed and future research lines suggested.
引用
收藏
页数:15
相关论文
共 50 条
  • [1] A structural equation modelling of factors influencing student teachers' satisfaction with e-learning
    Teo, Timothy
    [J]. BRITISH JOURNAL OF EDUCATIONAL TECHNOLOGY, 2010, 41 (06) : E150 - E152
  • [2] Investigating student engagement in blended learning settings using experience sampling and structural equation modeling
    Manwaring, Kristine C.
    Larsen, Ross
    Graham, Charles R.
    Henrie, Curtis R.
    Halverson, Lisa R.
    [J]. INTERNET AND HIGHER EDUCATION, 2017, 35 : 21 - 33
  • [3] A Comprehensive Approach for Monitoring Student Satisfaction in Blended Learning Courses
    Gaftandzhieva, Silvia N.
    Doneva, Rositsa Zh.
    Bliznakov, Milen P.
    [J]. CYBERNETICS AND INFORMATION TECHNOLOGIES, 2023, 23 (04) : 181 - 198
  • [4] Unveiling student academic resilience in language learning: a structural equation modelling approach
    Duan, Siyu
    Han, Xiaoyu
    Li, Xiaoxue
    Liu, Honggang
    [J]. BMC PSYCHOLOGY, 2024, 12 (01)
  • [5] Unveiling student academic resilience in language learning: a structural equation modelling approach
    Siyu Duan
    Xiaoyu Han
    Xiaoxue Li
    Honggang Liu
    [J]. BMC Psychology, 12
  • [6] Modelling Student Knowledge in Blended Learning
    Hamzah, Almed
    Sosnovsky, Sergey
    [J]. 2023 ADJUNCT PROCEEDINGS OF THE 31ST ACM CONFERENCE ON USER MODELING, ADAPTATION AND PERSONALIZATION, UMAP 2023, 2023, : 76 - 80
  • [7] CONSTRUCTS OF STUDENT-CENTERED ONLINE LEARNING ON LEARNING SATISFACTION OF A DIVERSE ONLINE STUDENT BODY: A STRUCTURAL EQUATION MODELING APPROACH
    Ke, Fengfeng
    Kwak, Dean
    [J]. JOURNAL OF EDUCATIONAL COMPUTING RESEARCH, 2013, 48 (01) : 97 - 122
  • [8] STUDENT SATISFACTION WITH THE QUALITY OF A BLENDED LEARNING COURSE
    Gaftandzhieva, Silvia
    Doneva, Rositsa
    Hussain, Sadiq
    Talukder, Ashis
    Chetia, Gunadeep
    Gohain, Nisha
    [J]. MATHEMATICS AND INFORMATICS, 2024, 67 (01): : 54 - 69
  • [9] A Structural Equation Modelling Approach for Massive Blended Synchronous Teacher Training
    Kannan, Kalpana
    Narayanan, Krishnan
    [J]. EDUCATIONAL TECHNOLOGY & SOCIETY, 2015, 18 (03): : 1 - 15
  • [10] Blended Learning and Student Satisfaction: The Moderating Effect of Student Performance
    Zeqiri, Jusuf
    Kareva, Veronika
    Alija, Sadri
    [J]. BUSINESS SYSTEMS RESEARCH JOURNAL, 2021, 12 (02): : 79 - 94