Factors Affecting Students Behaviroal Intention Towards Using E-learning During COVID-19: A Proposed Conceptual Framework: A Proposed Conceptual Framework: Research-in-Progress

Muaath AlZakwani, Ghalib AlGhafri, Faisal AlMaqbali, Sadaf Sadaq, Ali Tarhini*

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingChapter

Abstract

Nowadays, e-learning has become significant in distance teaching. Nevertheless, factors influencing students’ behavioral intentions toward different e-learning platforms are still not well understood. This research-in progress aims to propose a conceptual framework that consider the key influencing factors that may enable or hinder the adoption of e-learning tools during the COVID-19 pandemic. Data will be collected from Sultan Qaboos University students by using an online survey to test the conceptual framework. The data gathered will be analyzed using structural equation modeling approach. This research-in-progress will help the decision makers formulate strategies to improve the adoption of online learning systems during the COVID-19 pandemic.

Original languageEnglish
Title of host publicationInternational Conference on Information Systems and Intelligent Applications - ICISIA 2022
EditorsMostafa Al-Emran, Khaled Shaalan, Mohammed A. Al-Sharafi
PublisherSpringer Science and Business Media Deutschland GmbH
Pages613-622
Number of pages10
ISBN (Print)9783031168642
DOIs
Publication statusPublished - Oct 23 2022
EventInternational Conference on Information Systems and Intelligent Applications, ICISIA 2022 - Virtual, Online
Duration: Jul 1 2022Jul 2 2022

Publication series

NameLecture Notes in Networks and Systems
Volume550 LNNS
ISSN (Print)2367-3370
ISSN (Electronic)2367-3389

Conference

ConferenceInternational Conference on Information Systems and Intelligent Applications, ICISIA 2022
CityVirtual, Online
Period7/1/227/2/22

Keywords

  • Behavioral intention
  • COVID-19
  • Technology adoption
  • UTAUT2
  • e-learning platforms

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Signal Processing
  • Computer Networks and Communications

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