An analysis of educational outcomes and user satisfaction in webex following COVID-19: An expectation-confirmation model

  • Abuhassna H
  • Nawajha S
  • Awae F
  • et al.
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Abstract

This study examines how Webex, a web conferencing programme, affects online learning outcomes and user happiness. This research uses the Expectation-Confirmation Model (ECM) to assess how Webex impacts students’ happiness and educational outcomes, as measured by their initial expectations. Five main questions lead the study: initial expectations, how well Webex satisfies them, user satisfaction, the association between expectation confirmation and satisfaction, and how satisfaction affects perceived educational results and Webex usage. High initial expectations may lower pleasure, while positive confirmation of expectations may increase it. Satisfaction is also expected to improve educational perceptions and Webex usage. University Technology Malaysia students and lecturers get a quantitative survey. Initial expectations, perceived performance, contentment, and educational achievements are the survey’s goals. Positive confirmation of initial expectations increases enjoyment, according to the findings. This satisfaction affects educational attainment and Webex use. The study emphasises the need of controlling user expectations and aligning Webex features with them to increase educational outcomes and user satisfaction. This book offers educators, educational institutions, and e-learning technology developers’ valuable information that encourages an integrated approach to e-learning tool deployment that considers technical and human factors. Demographic characteristics and the long-term consequences of satisfaction on academic achievement should be studied further.

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APA

Abuhassna, H., Nawajha, S. A., Awae, F., Mohamed Adnan, M. A. B., Aripin, S. B., Ebrahimi, M., … Edwards, B. I. (2024). An analysis of educational outcomes and user satisfaction in webex following COVID-19: An expectation-confirmation model. Journal of Autonomous Intelligence, 7(5), 1550. https://doi.org/10.32629/jai.v7i5.1550

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