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Survey dataset on open and distance learning students’ intention to use social media and emerging technologies for online facilitation

Open and Distance Learning (ODL) students rely majorly on the use of Information, Communication and Technology (ICT) tools for online facilitation and other activities supporting learning. With emphasis on ODL students of Ladoke Akintola University of Technology (LAUTECH), Oyo Sta te, Nigeria; Moodl...

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Detalles Bibliográficos
Autores principales: Arulogun, Oladiran Tayo, Akande, Oluwatobi Noah, Akindele, Akinyinka Tosin, Badmus, Taofeeq Alabi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7334404/
https://www.ncbi.nlm.nih.gov/pubmed/32642526
http://dx.doi.org/10.1016/j.dib.2020.105929
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author Arulogun, Oladiran Tayo
Akande, Oluwatobi Noah
Akindele, Akinyinka Tosin
Badmus, Taofeeq Alabi
author_facet Arulogun, Oladiran Tayo
Akande, Oluwatobi Noah
Akindele, Akinyinka Tosin
Badmus, Taofeeq Alabi
author_sort Arulogun, Oladiran Tayo
collection PubMed
description Open and Distance Learning (ODL) students rely majorly on the use of Information, Communication and Technology (ICT) tools for online facilitation and other activities supporting learning. With emphasis on ODL students of Ladoke Akintola University of Technology (LAUTECH), Oyo Sta te, Nigeria; Moodle Learning Management System (LMS) has being the major medium for online facilitation for the past 5 years. Therefore, this data article presents a survey dataset that was administered to LAUTECH ODL students with a view to assess their readiness to accept and use alternative social media platforms and emerging technologies for online facilitation. The data article also includes questionnaire instrument administered via google form, 900 responses received in spreadsheet formats, chats generated from the responses, the Statistical Package of the Social Sciences (SPSS) file, the descriptive and reliability statistics for all the variables. Authors believe that the dataset will guide policy makers on the choice of social media and emerging technologies to be adopted as a facilitation tool for ODL students. It will also reveal the challenges that could militate against the willingness to use these supplementary modes of learning from students’ perspectives.
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spelling pubmed-73344042020-07-07 Survey dataset on open and distance learning students’ intention to use social media and emerging technologies for online facilitation Arulogun, Oladiran Tayo Akande, Oluwatobi Noah Akindele, Akinyinka Tosin Badmus, Taofeeq Alabi Data Brief Computer Science Open and Distance Learning (ODL) students rely majorly on the use of Information, Communication and Technology (ICT) tools for online facilitation and other activities supporting learning. With emphasis on ODL students of Ladoke Akintola University of Technology (LAUTECH), Oyo Sta te, Nigeria; Moodle Learning Management System (LMS) has being the major medium for online facilitation for the past 5 years. Therefore, this data article presents a survey dataset that was administered to LAUTECH ODL students with a view to assess their readiness to accept and use alternative social media platforms and emerging technologies for online facilitation. The data article also includes questionnaire instrument administered via google form, 900 responses received in spreadsheet formats, chats generated from the responses, the Statistical Package of the Social Sciences (SPSS) file, the descriptive and reliability statistics for all the variables. Authors believe that the dataset will guide policy makers on the choice of social media and emerging technologies to be adopted as a facilitation tool for ODL students. It will also reveal the challenges that could militate against the willingness to use these supplementary modes of learning from students’ perspectives. Elsevier 2020-06-26 /pmc/articles/PMC7334404/ /pubmed/32642526 http://dx.doi.org/10.1016/j.dib.2020.105929 Text en © 2020 Landmark University, Kwara state, Nigeria http://creativecommons.org/licenses/by/4.0/ This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Computer Science
Arulogun, Oladiran Tayo
Akande, Oluwatobi Noah
Akindele, Akinyinka Tosin
Badmus, Taofeeq Alabi
Survey dataset on open and distance learning students’ intention to use social media and emerging technologies for online facilitation
title Survey dataset on open and distance learning students’ intention to use social media and emerging technologies for online facilitation
title_full Survey dataset on open and distance learning students’ intention to use social media and emerging technologies for online facilitation
title_fullStr Survey dataset on open and distance learning students’ intention to use social media and emerging technologies for online facilitation
title_full_unstemmed Survey dataset on open and distance learning students’ intention to use social media and emerging technologies for online facilitation
title_short Survey dataset on open and distance learning students’ intention to use social media and emerging technologies for online facilitation
title_sort survey dataset on open and distance learning students’ intention to use social media and emerging technologies for online facilitation
topic Computer Science
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7334404/
https://www.ncbi.nlm.nih.gov/pubmed/32642526
http://dx.doi.org/10.1016/j.dib.2020.105929
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