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A Preliminary Model of Learning Analytics to Explore Data Visualization on Educator�s Satisfaction and Academic Performance in Higher Education

Computer aided instruction; Decision making; Digital storage; E-learning; Education computing; Learning systems; Online systems; Students; Teaching; Visualization; Academic performance; Decisions makings; High educations; IS success; IS success model; Learning analytic; Models of learning; Online le...

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Main Authors: Shahril Khuzairi N.M., Che Cob Z.
Other Authors: 57361333500
Format: Conference Paper
Published: Springer Science and Business Media Deutschland GmbH 2023
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id my.uniten.dspace-26451
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spelling my.uniten.dspace-264512023-05-29T17:10:41Z A Preliminary Model of Learning Analytics to Explore Data Visualization on Educator�s Satisfaction and Academic Performance in Higher Education Shahril Khuzairi N.M. Che Cob Z. 57361333500 25824919900 Computer aided instruction; Decision making; Digital storage; E-learning; Education computing; Learning systems; Online systems; Students; Teaching; Visualization; Academic performance; Decisions makings; High educations; IS success; IS success model; Learning analytic; Models of learning; Online learning; Preliminary model; Technology acceptance model; Data visualization With the rapid proliferation of online learning due to the Covid-19 pandemic, learning management solutions and software has gained an extraordinary importance in tertiary education. This shift has created large amounts of data from online learning systems that need to be translated into meaningful information, hence data visualization has come into prominent focus as a solution that provides a powerful means to drive Learning Analytics to assess and support educators and students alike in decision-making and sense-making activities from the data collected. Although many research works have been published on data visualization focusing on techniques, tools and best practices, there is still a lack of research in the context of online learning to meet this urgent need of quality data visualization for successful decision-making. In this paper, we explore data visualization that is currently used in learning analytics and present an integrated preliminary model based on DeLone and McLean�s IS Success model to examine the role and significance of data visualization by incorporating it as an antecedent to the Information Quality construct of the IS success model, which will support teaching and learning in an online learning environment for improved educators and student performance. This paper adds to the existing literature by incorporating data visualization to support educators decision-making and its performance impact of online learning through the consideration of the IS success model�s elements. This integrated preliminary conceptual model aims to support online teaching and learning by addressing the research gap that has emerged from the expansion of learning analytics in educational technology. � 2021, Springer Nature Switzerland AG. Final 2023-05-29T09:10:41Z 2023-05-29T09:10:41Z 2021 Conference Paper 10.1007/978-3-030-90235-3_3 2-s2.0-85120531097 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85120531097&doi=10.1007%2f978-3-030-90235-3_3&partnerID=40&md5=7d73f6351202732bf3a1b68d1495bd82 https://irepository.uniten.edu.my/handle/123456789/26451 13051 LNCS 27 40 Springer Science and Business Media Deutschland GmbH Scopus
institution Universiti Tenaga Nasional
building UNITEN Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Tenaga Nasional
content_source UNITEN Institutional Repository
url_provider http://dspace.uniten.edu.my/
description Computer aided instruction; Decision making; Digital storage; E-learning; Education computing; Learning systems; Online systems; Students; Teaching; Visualization; Academic performance; Decisions makings; High educations; IS success; IS success model; Learning analytic; Models of learning; Online learning; Preliminary model; Technology acceptance model; Data visualization
author2 57361333500
author_facet 57361333500
Shahril Khuzairi N.M.
Che Cob Z.
format Conference Paper
author Shahril Khuzairi N.M.
Che Cob Z.
spellingShingle Shahril Khuzairi N.M.
Che Cob Z.
A Preliminary Model of Learning Analytics to Explore Data Visualization on Educator�s Satisfaction and Academic Performance in Higher Education
author_sort Shahril Khuzairi N.M.
title A Preliminary Model of Learning Analytics to Explore Data Visualization on Educator�s Satisfaction and Academic Performance in Higher Education
title_short A Preliminary Model of Learning Analytics to Explore Data Visualization on Educator�s Satisfaction and Academic Performance in Higher Education
title_full A Preliminary Model of Learning Analytics to Explore Data Visualization on Educator�s Satisfaction and Academic Performance in Higher Education
title_fullStr A Preliminary Model of Learning Analytics to Explore Data Visualization on Educator�s Satisfaction and Academic Performance in Higher Education
title_full_unstemmed A Preliminary Model of Learning Analytics to Explore Data Visualization on Educator�s Satisfaction and Academic Performance in Higher Education
title_sort preliminary model of learning analytics to explore data visualization on educator�s satisfaction and academic performance in higher education
publisher Springer Science and Business Media Deutschland GmbH
publishDate 2023
_version_ 1806424041022554112
score 13.211869

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