Research on the Influence of E-Learning Quality on the Intention to Continue E-Learning: Evidence from SEM and fsQCA

被引:10
作者
Zheng, Hao [1 ]
Qian, Yu [1 ]
Wang, Zongran [1 ]
Wu, Yonghe [1 ]
机构
[1] East China Normal Univ, Fac Educ, Dept Educ Informat Technol, Shanghai 200062, Peoples R China
关键词
e-learning; intention to continue learning; stimulus-organism-response framework; technology acceptance model; information system success model; structural equation model; qualitative comparative analysis of fuzzy sets; INFORMATION-SYSTEMS SUCCESS; SERVICE QUALITY; PERCEIVED USEFULNESS; ACCEPTANCE; MODEL; STUDENTS; SATISFACTION; INVOLVEMENT; ADOPTION; ANXIETY;
D O I
10.3390/su15065557
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
This study explores how Chinese college students perceive the quality of e-learning and its impact on their adoption of online learning. The study develops an impact model of e-learning quality on continuous learning intention based on the stimulus-organism-response framework, technology acceptance model, and information system success model. The model is validated using a structural equation model (SEM) and fuzzy set qualitative comparative analysis (fsQCA) with data collected from 253 college students at a university in Eastern China. The SEM analysis shows that perceived ease of use and perceived usefulness positively influence e-learning continuance intention, while system quality and personalization have a positive impact on perceived ease of use, and learning community positively impacts perceived usefulness. The fsQCA analysis shows that college students' willingness to continue e-learning is not solely dependent on a single factor of e-learning service quality but is also influenced by the interaction between various factors. Therefore, e-learning providers should take into account both external stimuli and internal perception factors when designing e-learning services. The findings of this study have practical implications for improving e-learning quality and enhancing the online learning experience. E-learning providers should consider the importance of system quality, personalization, and learning community in improving perceived ease of use and usefulness, which in turn can increase students' intention to continue e-learning. The study also highlights the importance of considering the interaction between various factors that influence e-learning adoption rather than relying solely on individual factors.
引用
收藏
页数:14
相关论文
共 62 条
  • [1] The role role of motivations and involvement in wine tourists' intention to return: SEM and fsQCA findings
    Afonso, Carolina
    Silva, Graca Miranda
    Goncalves, Helena Martins
    Duarte, Margarida
    [J]. JOURNAL OF BUSINESS RESEARCH, 2018, 89 : 313 - 321
  • [2] Evaluating E-learning systems success: An empirical study
    Al-Fraihat, Dimah
    Joy, Mike
    Masa'deh, Ra'ed
    Sinclair, Jane
    [J]. COMPUTERS IN HUMAN BEHAVIOR, 2020, 102 : 67 - 86
  • [3] Alenezi AR, 2010, TURK ONLINE J EDUC T, V9, P22
  • [4] Almushasha N.F., 2012, J APPL SCI, V12, P1474, DOI [10.3923/jas.2012.1474.1480, DOI 10.3923/jas.2012.1474.1480]
  • [5] Development of Fuzzy Exploratory Factor Analysis for Designing an E-Learning Service Quality Assessment Model
    Baradaran, Vahid
    Ghorbani, Elaheh
    [J]. INTERNATIONAL JOURNAL OF FUZZY SYSTEMS, 2020, 22 (06) : 1772 - 1785
  • [6] Online Course Delivery: An Empirical Investigation of Factors Affecting Student Satisfaction
    Beqiri, Mirjeta
    Chase, Nancy
    Bishka, Atena
    [J]. JOURNAL OF EDUCATION FOR BUSINESS, 2009, 85 (02) : 95 - 100
  • [7] Bernsteiner R., 2008, INT J WEB BASED LEAR, P16
  • [8] Bi L, 2021, THESIS TUNKU ABDUL R, DOI [10.1007/s10639-021-10791-x, DOI 10.1007/S10639-021-10791-X]
  • [9] Interaction in distance-learning courses
    Bouhnik, D
    Marcus, T
    [J]. JOURNAL OF THE AMERICAN SOCIETY FOR INFORMATION SCIENCE AND TECHNOLOGY, 2006, 57 (03): : 299 - 305
  • [10] Predicting the Intention to Use a Web-Based Learning System: Perceived Content Quality, Anxiety, Perceived System Quality, Image, and the Technology Acceptance Model
    Calisir, Fethi
    Gumussoy, Cigdem Altin
    Bayraktaroglu, Ayse E.
    Karaali, Demet
    [J]. HUMAN FACTORS AND ERGONOMICS IN MANUFACTURING & SERVICE INDUSTRIES, 2014, 24 (05) : 515 - 531