Exploring the factors that enhance student–content interaction in a technology-mediated learning environment

The authors discuss the results of a study that was conducted on the factors that enhance effective interaction between students and learning contents in a technology-mediated learning environment in a higher education setting. The results revealed that effective student–content interaction is stron...

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Main Authors: Yaw Owusu-Agyeman, Otu Larbi-Siaw
Format: Article
Language:English
Published: Taylor & Francis Group 2018-01-01
Series:Cogent Education
Subjects:
Online Access:http://dx.doi.org/10.1080/2331186X.2018.1456780
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spelling doaj-5be15c06d36f42e2a167420495d89eb42021-08-24T14:41:01ZengTaylor & Francis GroupCogent Education2331-186X2018-01-015110.1080/2331186X.2018.14567801456780Exploring the factors that enhance student–content interaction in a technology-mediated learning environmentYaw Owusu-Agyeman0Otu Larbi-Siaw1Ghana Technology University CollegeGhana Technology University CollegeThe authors discuss the results of a study that was conducted on the factors that enhance effective interaction between students and learning contents in a technology-mediated learning environment in a higher education setting. The results revealed that effective student–content interaction is strongly enhanced by expansive learning through its five key elements; epistemic relation, contradictions, digital learning content, conglomeration of views and cognitive transformation. The intervening effect of network relations and mediating technology was also highlighted therefore, revealing the positive impact of both factors in enhancing effective student-content interaction. The empirical methods employed by the authors were focus group interview (n = 12) and questionnaire (n = 500) among students in a university. While Structural equation modelling was used to analyse the quantitative data, the focus group interviews were analysed using categories, themes and concepts. The authors present the findings and implications of the study by way of theory, practice and further research in the study.http://dx.doi.org/10.1080/2331186X.2018.1456780student–content interactionmediating technologyexpansive learningnetwork relationsdigital learning environmentstructural equation modelling
collection DOAJ
language English
format Article
sources DOAJ
author Yaw Owusu-Agyeman
Otu Larbi-Siaw
spellingShingle Yaw Owusu-Agyeman
Otu Larbi-Siaw
Exploring the factors that enhance student–content interaction in a technology-mediated learning environment
Cogent Education
student–content interaction
mediating technology
expansive learning
network relations
digital learning environment
structural equation modelling
author_facet Yaw Owusu-Agyeman
Otu Larbi-Siaw
author_sort Yaw Owusu-Agyeman
title Exploring the factors that enhance student–content interaction in a technology-mediated learning environment
title_short Exploring the factors that enhance student–content interaction in a technology-mediated learning environment
title_full Exploring the factors that enhance student–content interaction in a technology-mediated learning environment
title_fullStr Exploring the factors that enhance student–content interaction in a technology-mediated learning environment
title_full_unstemmed Exploring the factors that enhance student–content interaction in a technology-mediated learning environment
title_sort exploring the factors that enhance student–content interaction in a technology-mediated learning environment
publisher Taylor & Francis Group
series Cogent Education
issn 2331-186X
publishDate 2018-01-01
description The authors discuss the results of a study that was conducted on the factors that enhance effective interaction between students and learning contents in a technology-mediated learning environment in a higher education setting. The results revealed that effective student–content interaction is strongly enhanced by expansive learning through its five key elements; epistemic relation, contradictions, digital learning content, conglomeration of views and cognitive transformation. The intervening effect of network relations and mediating technology was also highlighted therefore, revealing the positive impact of both factors in enhancing effective student-content interaction. The empirical methods employed by the authors were focus group interview (n = 12) and questionnaire (n = 500) among students in a university. While Structural equation modelling was used to analyse the quantitative data, the focus group interviews were analysed using categories, themes and concepts. The authors present the findings and implications of the study by way of theory, practice and further research in the study.
topic student–content interaction
mediating technology
expansive learning
network relations
digital learning environment
structural equation modelling
url http://dx.doi.org/10.1080/2331186X.2018.1456780
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