Elementary and secondary school students' perceptions toward the use of e-learning under the COVID-19 pandemic: a mixed-methods study

被引:4
作者
Xu, Kaifei [1 ,2 ]
Bao, Xin [2 ,3 ]
Lu, Lu [3 ]
机构
[1] Univ Sci & Technol China, Hefei, Peoples R China
[2] City Univ Hong Kong, Hong Kong, Peoples R China
[3] Harbin Inst Technol, Harbin, Peoples R China
基金
中国国家自然科学基金;
关键词
E-Learning; COVID-19; Continuance intention; ECM; Elementary and secondary school student; Mixed-methods study; CONTINUANCE INTENTION; TECHNOLOGY ACCEPTANCE; PERCEIVED USEFULNESS; INFORMATION-TECHNOLOGY; SATISFACTION; SUCCESS; TAM; GUIDELINES; EXTENSION; VARIABLES;
D O I
10.1108/ITP-01-2021-0019
中图分类号
G25 [图书馆学、图书馆事业]; G35 [情报学、情报工作];
学科分类号
1205 ; 120501 ;
摘要
PurposeThe lockdown of schools to control the spread of Coronavirus Disease 2019 (COVID-19) has adversely affected elementary and secondary school students in China. However, little evidence is available that documents their perceptions toward the use of e-learning under the pandemic context. This study aims to explore (1) the underlying determinants influencing the students' intentions to continue e-learning and (2) the role that the COVID-19 pandemic plays in this decision. This study extends the expectation-confirmation model (ECM) through a mixed-methods study.Design/methodology/approachThis study uses a mixed-methods approach. Phase 1 draws conclusions and extracts significant elements related to e-learning during the pandemic by analyzing students' user reviews from platforms. Based on the findings, the authors identify the relevant variables and develop an extended ECM by integrating attitudes and the perceived threat of COVID-19. In Phase 2, the research model is empirically validated using data collected from 36,920 elementary and secondary school students in China. This study uses a mixed-methods approach. Phase 1 draws conclusions and extracts significant elements related to e-learning during the pandemic by analyzing students' user reviews from platforms. Based on the findings, the authors identify the relevant variables and develop an extended ECM by integrating attitudes and the perceived threat of COVID-19. In Phase 2, the research model is empirically validated using data collected from 36,920 elementary and secondary school students in China.FindingsIn Phase 1, the results reveal that students' most concern elements in the COVID-19 pandemic are user perceptions toward e-learning and threat perceptions of COVID-19. In Phase 2, the results reveal that perceived usefulness and attitude are the most significant factors in students' intention to continue. The perceived threat of COVID-19 indirectly influences their intention to continue.Originality/valueThe study extends the ECM with a mixed-methods study to understand students' perceptions toward e-learning during the COVID-19 pandemic. This study can be helpful in related studies in the context of COVID-19-related diseases or other novel scenarios.
引用
收藏
页码:130 / 151
页数:22
相关论文
共 65 条
  • [1] Investigating the influence of the most commonly used external variables of TAM on students' Perceived Ease of Use (PEOU) and Perceived Usefulness (PU) of e-portfolios
    Abdullah, Fazil
    Ward, Rupert
    Ahmed, Ejaz
    [J]. COMPUTERS IN HUMAN BEHAVIOR, 2016, 63 : 75 - 90
  • [2] Fear from COVID-19 and technology adoption: the impact of Google Meet during Coronavirus pandemic
    Al-Maroof, Rana Saeed
    Salloum, Said A.
    Hassanien, Aboul Ella
    Shaalan, Khaled
    [J]. INTERACTIVE LEARNING ENVIRONMENTS, 2023, 31 (03) : 1293 - 1308
  • [3] 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
  • [4] Understanding the MOOCs continuance: The role of openness and reputation
    Alraimi, Khaled M.
    Zo, Hangjung
    Ciganek, Andrew P.
    [J]. COMPUTERS & EDUCATION, 2015, 80 : 28 - 38
  • [5] [Anonymous], 2020, COVID 19 ED DISRUPTI
  • [6] Understanding information systems continuance: An expectation-confirmation model
    Bhattacherjee, A
    [J]. MIS QUARTERLY, 2001, 25 (03) : 351 - 370
  • [7] THE BRIGHT AND DARK SIDES OF TECHNOSTRESS: A MIXED-METHODS STUDY INVOLVING HEALTHCARE IT
    Califf, Christopher B.
    Sarker, Saonee
    Sarker, Suprateek
    [J]. MIS QUARTERLY, 2020, 44 (02) : 809 - 856
  • [8] 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
  • [9] Using protection motivation theory to predict intention to adhere to official MMR vaccination recommendations in Switzerland
    Camerini, Anne-Linda
    Diviani, Nicola
    Fadda, Marta
    Schulz, Peter J.
    [J]. SSM-POPULATION HEALTH, 2019, 7
  • [10] Examining continuance intention in business schools with digital classroom methods during COVID-19: a comparative study of India and Italy
    Chauhan, Sumedha
    Goyal, Sandeep
    Bhardwaj, Amit Kumar
    Sergi, Bruno S.
    [J]. BEHAVIOUR & INFORMATION TECHNOLOGY, 2022, 41 (08) : 1596 - 1619