Predicting behavioral intention to use e-learning system: A case-study in Begum Rokeya University, Rangpur, Bangladesh

• Published in: Education and information technologies Vol. 27; no. 2; pp. 2241 - 2265
• Main Authors: Humida, Thasnim, Al Mamun, Md Habib, Keikhosrokiani, Pantea
• Format: Journal Article
• Language: English
• Published: New York Springer US 01.03.2022; Springer; Springer Nature B.V
• Subjects: Analysis; College Students; Computer Appl. in Social and Behavioral Sciences; Computer Science; Computers and Education; Distance learning; Education; Educational Technology; Electronic Learning; Foreign Countries; Information Systems Applications (incl.Internet); Intention; Mediation; Online education; Online instruction; Predictor Variables; Statistical Analysis; Student attitudes; Student Behavior; Surveys; Teaching Methods; Technology Acceptance Model; User Interfaces and Human Computer Interaction; Bangladesh; Canada; E-learning; TAM; Behavioral intention; UTAUT; Prediction; M-learning; GETAMEL
• ISSN: 1360-2357; 1573-7608
• DOI: 10.1007/s10639-021-10707-9

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.