E-learning efficiency of university students: evidence from Vietnam

被引:0
作者
Nguyen, Phan Dinh [1 ]
Ca, Do Mai Truong [2 ]
Anh, Nguyen Ngoc Phuong [2 ]
机构
[1] HUTECH Univ, Ho Chi Minh City, Vietnam
[2] HUTECH Univ, Vietnam Korea Inst Technol, Ho Chi Minh City, Vietnam
关键词
E-learning; Self-efficacy; E-learning motivation; E-learning strategy; E-learning efficiency; Vietnam; COGNITIVE LOAD; SELF-EFFICACY; MOTIVATION; COVID-19; SUPPORT;
D O I
10.1108/IJILT-05-2024-0093
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
PurposeThis paper examines the determinants of e-learning efficiency (ELE) of university students in Vietnam.Design/methodology/approachThis paper employs SmartPLS version 3.0 and the PLS-SEM to estimate the research model for the dataset of 718 observations collected through our survey done in 2023 based on the online course providing distribution of universities across three regions: north, central and south.FindingsOur research results show that e-learning self-efficacy (ELSE) and e-learning monitoring (ELM) have a positive effect on the ELE through e-learning strategies (ELS). E-learning attitude (ELA) and e-learning willpower (ELWP) have an indirect influence on the ELE through e-learning motivation (ELMM). E-learning course content (ELCC), e-learning course design (ELCD) and e-learning social support (ELSS) play a positive role in ELE. ELSS has the moderating effect on ELE though ELS and ELMM.Practical implicationsThe research results from this study provide necessary information and solutions for universities and students to improve the ELE.Originality/valueThis research expands the existing literature by adding ELCC, ELCD and ELSS to examine the ELE determinants. Investigating the moderating effect of ELSS on ELE is another contribution. This research also enriches the literature by providing solutions for universities and students to enhance their e-learning and teaching.
引用
收藏
页码:185 / 206
页数:22
相关论文
共 77 条
  • [1] Ahmadi S., 2020, J. Foren. Psy, V5, P10, DOI [10.35248/2475-319X.19.5.155, DOI 10.35248/2475-319X.19.5.155]
  • [2] Developing a Holistic Success Model for Sustainable E-Learning: A Structural Equation Modeling Approach
    Al-Adwan, Ahmad Samed
    Albelbisi, Nour Awni
    Hujran, Omar
    Al-Rahmi, Waleed Mugahed
    Alkhalifah, Ali
    [J]. SUSTAINABILITY, 2021, 13 (16)
  • [3] Alj Z., 2024, EMERGING SCI J, V8, P118, DOI [10.28991/esj-2024-sied1-08, DOI 10.28991/ESJ-2024-SIED1-08]
  • [4] Exploring the critical challenges and factors influencing the E-learning system usage during COVID-19 pandemic
    Almaiah, Mohammed Amin
    Al-Khasawneh, Ahmad
    Althunibat, Ahmad
    [J]. EDUCATION AND INFORMATION TECHNOLOGIES, 2020, 25 (06) : 5261 - 5280
  • [5] Andel S.A., 2020, FRONT EDUC, V7
  • [6] [Anonymous], 1978, Psychometric theory
  • [7] SELF-EFFICACY - TOWARD A UNIFYING THEORY OF BEHAVIORAL CHANGE
    BANDURA, A
    [J]. PSYCHOLOGICAL REVIEW, 1977, 84 (02) : 191 - 215
  • [8] Bandura A., 1986, Social foundations of thought and action: A social-cognitive theory
  • [9] Exploring Human Values and Students' Aspiration in E-Learning Adoption: A Structural Equation Modeling Analysis
    Bessadok, Adel
    Bardesi, Hisham
    [J]. SUSTAINABILITY, 2023, 15 (19)
  • [10] A tale of two MOOCs: How student motivation and participation predict learning outcomes in different MOOCs
    Brooker, Abi
    Corrin, Linda
    de Barba, Paula
    Lodge, Jason
    Kennedy, Gregor
    [J]. AUSTRALASIAN JOURNAL OF EDUCATIONAL TECHNOLOGY, 2018, 34 (01) : 73 - 87