Journal ArticleOpen Access
Predicting behavioral intention to use e-learning system: A case-study in Begum Rokeya University, Rangpur, Bangladesh
Author Affiliations
Begum Rokeya University, Universiti Sains Malaysia
Published InEducation and Information Technologies
Year2021
Citations127
Abstract
Digital transformation and emerging technologies open a horizon to a new method of teaching and learning and revolutionizes the e-learning industry. The goal of this study is to scrutinize a proposed research model for predicting factors that influence student’s behavioral intention to use e-learning system at Begum Rokeya University, Bangladesh. The study used quantitative approach and developed a research model based on several technological acceptance models. In order to test the model, a survey was conducted to obtain data from 262 university students. SEM-PLS, a multivariate statistical analysis technique, was used to analyze the responses to examine the model, factors, structural relationships, and hypotheses. The result shows that ‘perceived usefulness’ and ‘perceived ease of use’ positively and significantly influenced by…
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Fields & Keywords
Social SciencesDecision SciencesInformation Systems and ManagementTechnology Adoption and User BehaviourOrganizational and Employee PerformanceOnline and Blended LearningApplied psychologySocial psychologyKnowledge managementMathematics educationMachine learningStatisticsHuman–computer interactionLaw