STRUCTURAL EQUATION MODELLING (SEM) BASED ASSESSMENT OF STUDENTS' M-LEARNING BEHAVIOURAL ADOPTION USING AN EXTENDED-SIMPLIFIED TAM

In today's highly globalised world, m-learning provides learners with a novel avenue for acquiring knowledge, allowing them to access any information anywhere according to their time schedule. Despite its portability and speed, m-learning adoption is relatively in its infancy stage in developin...

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Main Authors: Parveen Singh Kalsi, Rajveer Kaur
Format: Article
Language:English
Published: University of Kragujevac 2024-12-01
Series:Proceedings on Engineering Sciences
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Online Access:https://pesjournal.net/journal/v6-n4/22.pdf
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author Parveen Singh Kalsi
Rajveer Kaur
author_facet Parveen Singh Kalsi
Rajveer Kaur
author_sort Parveen Singh Kalsi
collection DOAJ
description In today's highly globalised world, m-learning provides learners with a novel avenue for acquiring knowledge, allowing them to access any information anywhere according to their time schedule. Despite its portability and speed, m-learning adoption is relatively in its infancy stage in developing nations across the globe. The Technology Adoption Model (TAM) for end-user technology adoption has been the subject of research over the last decades. Despite this, empirical literature related to TAM usage in the educational domain is very limited. Thus, this research endeavours to utilise an extended-simplified TAM framework using a quantitative and cross-sectional approach to analyse the m-learning behavioural intentions of graduate and undergraduate pupils attending private universities in the state of Punjab, India. The research study employed AMOS 21 to conduct SEM based analysis in order to validate the constructed hypotheses through data collected from 392 students. Findings ascertained that perceived usefulness favourably affects students' m-learning attitudes and behavioural intentions. Perceived ease of use and enjoyment positively affect students' attitudes for m-learning. Additionally, the study found that attitude towards use positively affects behavioural intentions, which in turn positively affects students' m-learning system utilisation.
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spelling doaj-art-dba723d74e32400c83185889e424c16a2025-08-20T02:34:25ZengUniversity of KragujevacProceedings on Engineering Sciences2620-28322683-41112024-12-01641633164210.24874/PES06.04.022STRUCTURAL EQUATION MODELLING (SEM) BASED ASSESSMENT OF STUDENTS' M-LEARNING BEHAVIOURAL ADOPTION USING AN EXTENDED-SIMPLIFIED TAMParveen Singh Kalsi 0https://orcid.org/0000-0002-1577-4389Rajveer Kaur 1GNA Business School, GNA University, Phagwara, Punjab, India GNA Business School, GNA University, Phagwara, Punjab, India In today's highly globalised world, m-learning provides learners with a novel avenue for acquiring knowledge, allowing them to access any information anywhere according to their time schedule. Despite its portability and speed, m-learning adoption is relatively in its infancy stage in developing nations across the globe. The Technology Adoption Model (TAM) for end-user technology adoption has been the subject of research over the last decades. Despite this, empirical literature related to TAM usage in the educational domain is very limited. Thus, this research endeavours to utilise an extended-simplified TAM framework using a quantitative and cross-sectional approach to analyse the m-learning behavioural intentions of graduate and undergraduate pupils attending private universities in the state of Punjab, India. The research study employed AMOS 21 to conduct SEM based analysis in order to validate the constructed hypotheses through data collected from 392 students. Findings ascertained that perceived usefulness favourably affects students' m-learning attitudes and behavioural intentions. Perceived ease of use and enjoyment positively affect students' attitudes for m-learning. Additionally, the study found that attitude towards use positively affects behavioural intentions, which in turn positively affects students' m-learning system utilisation.https://pesjournal.net/journal/v6-n4/22.pdfm-learningbehavioral intentionsuniversity studentstamsem
spellingShingle Parveen Singh Kalsi
Rajveer Kaur
STRUCTURAL EQUATION MODELLING (SEM) BASED ASSESSMENT OF STUDENTS' M-LEARNING BEHAVIOURAL ADOPTION USING AN EXTENDED-SIMPLIFIED TAM
Proceedings on Engineering Sciences
m-learning
behavioral intentions
university students
tam
sem
title STRUCTURAL EQUATION MODELLING (SEM) BASED ASSESSMENT OF STUDENTS' M-LEARNING BEHAVIOURAL ADOPTION USING AN EXTENDED-SIMPLIFIED TAM
title_full STRUCTURAL EQUATION MODELLING (SEM) BASED ASSESSMENT OF STUDENTS' M-LEARNING BEHAVIOURAL ADOPTION USING AN EXTENDED-SIMPLIFIED TAM
title_fullStr STRUCTURAL EQUATION MODELLING (SEM) BASED ASSESSMENT OF STUDENTS' M-LEARNING BEHAVIOURAL ADOPTION USING AN EXTENDED-SIMPLIFIED TAM
title_full_unstemmed STRUCTURAL EQUATION MODELLING (SEM) BASED ASSESSMENT OF STUDENTS' M-LEARNING BEHAVIOURAL ADOPTION USING AN EXTENDED-SIMPLIFIED TAM
title_short STRUCTURAL EQUATION MODELLING (SEM) BASED ASSESSMENT OF STUDENTS' M-LEARNING BEHAVIOURAL ADOPTION USING AN EXTENDED-SIMPLIFIED TAM
title_sort structural equation modelling sem based assessment of students m learning behavioural adoption using an extended simplified tam
topic m-learning
behavioral intentions
university students
tam
sem
url https://pesjournal.net/journal/v6-n4/22.pdf
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