چکیده:
The Learning Management System (LMS) has been established in a number of universities worldwide to help connect students and lecturers without the confines of the traditional classroom. The recent advancements in information and communication technologies have altered instructional contexts and re-shaped them into smart learning environments. Due to increasing number of available smart learning features, it has become indispensable to manage these features for effective and organized instructional processes. Currently, it is commonly seen that educational institutes operate their own LMS and provide various online smart learning features for a diverse group of students. This study aims to analyze key factors that can influence users’ preferences on LMS use and gain a deeper understanding of how to maximize the learning outcomes through LMS by considering six constructs, namely, Performance Expectancy, Effort Expectancy, Social Influence, Institutional Initiatives, Individual Motives and Behavioural Intension. This study involved 120 of the undergraduate and postgraduate students of a Private University of West Bengal and utilized the validated Technology Acceptance Model (TAM) to predict learners’ perceptions towards LMS adoption. Four essential success factors for LMS implementations have been emerged from the perceived dataset of the students of the university who have implemented LMS in their system. The study explores the potentiality of the acceptance of the LMS perceived by the end users in the higher education system of West Bengal.
خلاصه ماشینی:
Key factors affecting users' preferences in using a learning management system (LMS): The moderating role of social influence, institutional initiatives and individual motives Parantap Chatterjee* Assistant Professor of Management, Sister Nivedita University, Kolkata, India Abstract The Learning Management System (LMS) has been established in a number of universities worldwide to help connect students and lecturers without the confines of the traditional classroom.
This study aims to analyze key factors that can influence users’ preferences on LMS use and gain a deeper understanding of how to maximize the learning outcomes through LMS by considering six constructs, namely, Performance Expectancy, Effort Expectancy, Social Influence, Institutional Initiatives, Individual Motives and Behavioural Intension.
This study involved 120 of the undergraduate and postgraduate students of a Private University of West Bengal and utilized the validated Technology Acceptance Model (TAM) to predict learners’ perceptions towards LMS adoption.
In order to empirically test this, the study is set to examine the influence of six constructs, namely, Performance Expectancy, Effort Expectancy, Social Influence, Institutional Initiatives, Individual Motives and Behavioural Intension on the use of LMS by postgraduate and undergraduate students in a University of West Bengal 2.
Social Influence, Institutional Initiatives and Individual Motives acted as moderating constructs which determine the strength of the relationship between Performance Expectancy (PE), Effort Expectancy (EE) and Behavioural Intension (BI).
A Structural Model for Students' Adoption of Learning Management Systems: An Empirical Investigation in the Higher Education Context.