Typology and Hierarchy of Students’ Motivations to Use Technology in Learning

Considerable discussion has taken place in practice and academe regarding the need for changes to the educational system to better suit current student’s approaches and preferences for technology use in learning. Much of this discussion involves assumptions about the current students (referred to by...

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Main Authors: Kenneth J Stevens, Zixiu Guo, Yuan Li
Format: Article
Language:English
Published: Australasian Association for Information Systems 2018-03-01
Series:Australasian Journal of Information Systems
Subjects:
Online Access:http://journal.acs.org.au/index.php/ajis/article/view/1492
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spelling doaj-0612148aac1243f0bc6cd8cfa6caa1a62021-08-02T16:51:26ZengAustralasian Association for Information SystemsAustralasian Journal of Information Systems1449-86181449-86182018-03-0122010.3127/ajis.v22i0.1492675Typology and Hierarchy of Students’ Motivations to Use Technology in LearningKenneth J Stevens0Zixiu Guo1Yuan Li2The University of New South WalesThe University of New South WalesHebei University of TechnologyConsiderable discussion has taken place in practice and academe regarding the need for changes to the educational system to better suit current student’s approaches and preferences for technology use in learning. Much of this discussion involves assumptions about the current students (referred to by some as ‘digital natives’) preference for independent learning and that students are motivated in similar ways to use technology to achieve and support their preferred learning style. This study sought to better understand student’s motivations for technology use in learning and whether assumptions about the homogeneity of motivations are warranted. We sought to identify students’ motivation typology and any groupings within these typologies, and understand the inter-relationship between motivations. Using data collected from 16 Information Systems (IS) students via the Repertory Grid Interview technique (RGT), a cluster analysis segmented respondents into two distinct groups: ‘Independent Learners’ and ‘Traditional Learners’. A hierarchical framework of technology use motivations was developed for each group using Interpretive Structural Modelling (ISM) and Cross-impact Matrix Multiplication Applied to Classification (MICMAC) was used to categorise each group’s motivation factors. Results show that the two groups were driven to achieve the same learning goals by different paths and hence questioning the assumption of homogeneity in technology use motivations among the current student cohort.http://journal.acs.org.au/index.php/ajis/article/view/1492digital technology enabled learningmotivationsdigital nativestypologyhierarchical framework.
collection DOAJ
language English
format Article
sources DOAJ
author Kenneth J Stevens
Zixiu Guo
Yuan Li
spellingShingle Kenneth J Stevens
Zixiu Guo
Yuan Li
Typology and Hierarchy of Students’ Motivations to Use Technology in Learning
Australasian Journal of Information Systems
digital technology enabled learning
motivations
digital natives
typology
hierarchical framework.
author_facet Kenneth J Stevens
Zixiu Guo
Yuan Li
author_sort Kenneth J Stevens
title Typology and Hierarchy of Students’ Motivations to Use Technology in Learning
title_short Typology and Hierarchy of Students’ Motivations to Use Technology in Learning
title_full Typology and Hierarchy of Students’ Motivations to Use Technology in Learning
title_fullStr Typology and Hierarchy of Students’ Motivations to Use Technology in Learning
title_full_unstemmed Typology and Hierarchy of Students’ Motivations to Use Technology in Learning
title_sort typology and hierarchy of students’ motivations to use technology in learning
publisher Australasian Association for Information Systems
series Australasian Journal of Information Systems
issn 1449-8618
1449-8618
publishDate 2018-03-01
description Considerable discussion has taken place in practice and academe regarding the need for changes to the educational system to better suit current student’s approaches and preferences for technology use in learning. Much of this discussion involves assumptions about the current students (referred to by some as ‘digital natives’) preference for independent learning and that students are motivated in similar ways to use technology to achieve and support their preferred learning style. This study sought to better understand student’s motivations for technology use in learning and whether assumptions about the homogeneity of motivations are warranted. We sought to identify students’ motivation typology and any groupings within these typologies, and understand the inter-relationship between motivations. Using data collected from 16 Information Systems (IS) students via the Repertory Grid Interview technique (RGT), a cluster analysis segmented respondents into two distinct groups: ‘Independent Learners’ and ‘Traditional Learners’. A hierarchical framework of technology use motivations was developed for each group using Interpretive Structural Modelling (ISM) and Cross-impact Matrix Multiplication Applied to Classification (MICMAC) was used to categorise each group’s motivation factors. Results show that the two groups were driven to achieve the same learning goals by different paths and hence questioning the assumption of homogeneity in technology use motivations among the current student cohort.
topic digital technology enabled learning
motivations
digital natives
typology
hierarchical framework.
url http://journal.acs.org.au/index.php/ajis/article/view/1492
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