Students' satisfaction and continued intention toward e-learning: a theory-based study

Med Educ Online. 2021 Dec;26(1):1961348. doi: 10.1080/10872981.2021.1961348.

Abstract

Coronavirus disease (COVID-19) has forced the urgent lockdown of schools and colleges worldwide. To ensure the continuity of education a shift from traditional teaching to e-learning was required. This study aims to identify factors that affect students' satisfaction and continued intention towards e-learning. A questionnaire was distributed to medical and dental students (second to sixth year) from different universities in Saudi Arabia. The study synthesizes the expectation-confirmation theory (ECT) and the theory of planned behavior (TPB) to predict students' satisfaction and intention to continue using e-learning using a validated self-administered questionnaire. We used the structural equation model to analyze the results and assess the study's hypotheses. A total of 870 completed questionnaires were received (67% response rate). The results showed that students were at a moderate level of satisfaction (median = 3.5). According to the ECT, both perceived usefulness and confirmation significantly influenced students' satisfaction (β = -.69 and β = .82, respectively). Satisfaction was the strongest predictor of students' continued intention (β = 1.95). Among the TPB constructs, perceived behavioral control (β = .51), attitudes (β = .39), and subjective norms (β = .36) had a significant positive influence on their intention to use e-learning. The results suggest efforts to increase students' satisfaction and intention with e-learning should be directed to adopting easy and useful e-learning platforms. In addition, training and motivating students to continue e-learning and increasing their confidence to ensure the effective and efficient use of such teaching modalities.

Keywords: Continuous intention; e-learning; expectation-confirmation theory; satisfaction; theory of planned behavior.

MeSH terms

  • COVID-19*
  • Communicable Disease Control
  • Computer-Assisted Instruction*
  • Humans
  • Intention
  • Personal Satisfaction
  • SARS-CoV-2
  • Students
  • Surveys and Questionnaires

Grants and funding

There are no funding sources to declare.