Structural Equation Modeling for Investigating the Factors Affecting the Faculty Members Adoption and Use of E-Learning Platform in Academic Purposes: An Empirical Validation in Higher Educational Context
DOI:
https://doi.org/10.51983/ajcst-2018.7.2.1875Keywords:
Structural Equation, E-learning Platform, Technology Acceptance Model, Perceived Usefulness, Perceived Ease of Use, Attitudes towards using, E-learning Self-efficacyAbstract
E-learning Platform is one of the most flexible and important innovations for delivering education in modern educational system. However successful implementation of the E-learning Platform (ELP) depends on the users behavioral intension of adoption. Most of the Higher educational institutions in North-East Indian region is using Information and Communication Technology in teaching and learning process and moving towards the adoption of ELP. In this paper the main focus is to examine the factors affecting the faculty members perception and adoption of E-learning platform in academic purposes. In the theoretical framework of this study Technology Acceptance Model (TAM) is used to analyze the perception and behavioral intension of faculty members adoption and use of E-learning platform in academic purposes. The theoretical framework is proposed that includes the core construct of TAM namely Perceived Usefulness, Perceived Ease of Use, Attitudes towards using together with two external variables namely E-learning Self Efficacy and Job Relevance. The data were collected from 81 full time/part time faculty members of randomly selected University/Colleges in North East Indian region through a self-designed questionnaire comprising 21 items that represent the above mentioned six constructs. The data were used to validate and hypothesized research model. The data analysis was performed through structural equation modeling (SEM) by using the software package SPSS version 16 together with STATA. The study reveals that the adoption and using E-learning platform mainly depends on the behavioral intention and attitude towards using the platform. Perceived usefulness and job relevance are the most strongest and important predictors of behavioral intention and attitude towards using E-learning platform in academic purposes.
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