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Predicting Behavioral Intention to Use E-Learning System: A Case-Study in Begum Rokeya University, Rangpur, Bangladesh

Title: Predicting Behavioral Intention to Use E-Learning System: A Case-Study in Begum Rokeya University, Rangpur, Bangladesh
Language: English
Authors: Humida, Thasnim; Al Mamun, Md Habib; Keikhosrokiani, Pantea (ORCID 0000-0003-4705-2732)
Source: Education and Information Technologies. Mar 2022 27(2):2241-2265.
Availability: Springer. Available from: Springer Nature. One New York Plaza, Suite 4600, New York, NY 10004. Tel: 800-777-4643; Tel: 212-460-1500; Fax: 212-460-1700; e-mail: customerservice@springernature.com; Web site: https://link.springer.com/
Peer Reviewed: Y
Page Count: 25
Publication Date: 2022
Document Type: Journal Articles; Reports - Research; Tests/Questionnaires
Education Level: Higher Education; Postsecondary Education
Descriptors: Student Behavior; Intention; Electronic Learning; College Students; Foreign Countries; Predictor Variables
Geographic Terms: Bangladesh
DOI: 10.1007/s10639-021-10707-9
ISSN: 1360-2357
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 'perceived enjoyment'. Furthermore, 'perceived usefulness', 'perceived ease of use' and 'facilitating condition' have a significant impact to predict behavioral intention to use e-learning. The results of mediation analysis show that 'perceived usefulness' and 'perceived ease of use' have mediating effects between the predictors and the outcome. Finally, 'facilitating condition' have a remarkable moderating effect to predict the student's behavioral intention in using e-learning. The findings have a noteworthy empirical implication for educational institutions to introduce e-learning system as one of the teaching and learning tools.
Abstractor: As Provided
Entry Date: 2022
Accession Number: EJ1329392
Database: ERIC