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Modelling online community constructs through interaction data: A learning analytics based Approach

This study aims to use LMS log data to suggest a way to understand CoI constructs. Students’ interactions in Moodle components were weighted for indicators of cognitive, teaching and social presences. Traces reflecting students’ online interactions were obtained from the Moodle LMS and analyzed thro...

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Detalles Bibliográficos
Autores principales: ÇAKIROĞLU, Ünal, KAHYAR, Sefa
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer US 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8894835/
https://www.ncbi.nlm.nih.gov/pubmed/35261552
http://dx.doi.org/10.1007/s10639-022-10950-8
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author ÇAKIROĞLU, Ünal
KAHYAR, Sefa
author_facet ÇAKIROĞLU, Ünal
KAHYAR, Sefa
author_sort ÇAKIROĞLU, Ünal
collection PubMed
description This study aims to use LMS log data to suggest a way to understand CoI constructs. Students’ interactions in Moodle components were weighted for indicators of cognitive, teaching and social presences. Traces reflecting students’ online interactions were obtained from the Moodle LMS and analyzed through learning analytics techniques. The data is examined with the Euclidean Distance Model, and Correspondence Analysis methods to evaluate the levels of interactions and presences. The results indicated that, cognitive presence is at the center of the CoI constructs, and student-content interaction, is found is more prominent than other interactions in terms of its relation to cognitive presence. Social presence scores were mostly related with student-student and student-teacher interaction scores. In addition, teaching presence scores were found in parallel with student-system interaction scores.
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spelling pubmed-88948352022-03-04 Modelling online community constructs through interaction data: A learning analytics based Approach ÇAKIROĞLU, Ünal KAHYAR, Sefa Educ Inf Technol (Dordr) Article This study aims to use LMS log data to suggest a way to understand CoI constructs. Students’ interactions in Moodle components were weighted for indicators of cognitive, teaching and social presences. Traces reflecting students’ online interactions were obtained from the Moodle LMS and analyzed through learning analytics techniques. The data is examined with the Euclidean Distance Model, and Correspondence Analysis methods to evaluate the levels of interactions and presences. The results indicated that, cognitive presence is at the center of the CoI constructs, and student-content interaction, is found is more prominent than other interactions in terms of its relation to cognitive presence. Social presence scores were mostly related with student-student and student-teacher interaction scores. In addition, teaching presence scores were found in parallel with student-system interaction scores. Springer US 2022-03-04 2022 /pmc/articles/PMC8894835/ /pubmed/35261552 http://dx.doi.org/10.1007/s10639-022-10950-8 Text en © The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2022 This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic.
spellingShingle Article
ÇAKIROĞLU, Ünal
KAHYAR, Sefa
Modelling online community constructs through interaction data: A learning analytics based Approach
title Modelling online community constructs through interaction data: A learning analytics based Approach
title_full Modelling online community constructs through interaction data: A learning analytics based Approach
title_fullStr Modelling online community constructs through interaction data: A learning analytics based Approach
title_full_unstemmed Modelling online community constructs through interaction data: A learning analytics based Approach
title_short Modelling online community constructs through interaction data: A learning analytics based Approach
title_sort modelling online community constructs through interaction data: a learning analytics based approach
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8894835/
https://www.ncbi.nlm.nih.gov/pubmed/35261552
http://dx.doi.org/10.1007/s10639-022-10950-8
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