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Modeling undergraduates' selection of course modality: A large sample, multi-discipline study

Scholarly understanding is limited with regard to what influences students' choice to take a particular course fully online or in-person. We surveyed 650 undergraduates at a public Canadian university who were enrolled in courses that were offered in both modalities during the same semester, fo...

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Detalles Bibliográficos
Autores principales: O'Neill, Kevin, Lopes, Natália, Nesbit, John, Reinhardt, Suzanne, Jayasundera, Kanthi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier Inc. 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7571457/
https://www.ncbi.nlm.nih.gov/pubmed/33100824
http://dx.doi.org/10.1016/j.iheduc.2020.100776
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author O'Neill, Kevin
Lopes, Natália
Nesbit, John
Reinhardt, Suzanne
Jayasundera, Kanthi
author_facet O'Neill, Kevin
Lopes, Natália
Nesbit, John
Reinhardt, Suzanne
Jayasundera, Kanthi
author_sort O'Neill, Kevin
collection PubMed
description Scholarly understanding is limited with regard to what influences students' choice to take a particular course fully online or in-person. We surveyed 650 undergraduates at a public Canadian university who were enrolled in courses that were offered in both modalities during the same semester, for roughly the same tuition cost. The courses spanned a wide range of disciplines, from archaeology to computing science. Twenty-five variables were gauged, covering areas including students' personal circumstances, their competence in the language of instruction, previous experience with online courses, grade expectations, and psychological variables including their regulation of their time and study environment, work avoidance and social goal orientation. Two logistic regression models (of modality of enrolment and modality of preference) both had good fit to the data, each correctly classifying roughly 75% of cases using different variables. Implications for instructional design and enrolment management are discussed.
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spelling pubmed-75714572020-10-20 Modeling undergraduates' selection of course modality: A large sample, multi-discipline study O'Neill, Kevin Lopes, Natália Nesbit, John Reinhardt, Suzanne Jayasundera, Kanthi Internet High Educ Article Scholarly understanding is limited with regard to what influences students' choice to take a particular course fully online or in-person. We surveyed 650 undergraduates at a public Canadian university who were enrolled in courses that were offered in both modalities during the same semester, for roughly the same tuition cost. The courses spanned a wide range of disciplines, from archaeology to computing science. Twenty-five variables were gauged, covering areas including students' personal circumstances, their competence in the language of instruction, previous experience with online courses, grade expectations, and psychological variables including their regulation of their time and study environment, work avoidance and social goal orientation. Two logistic regression models (of modality of enrolment and modality of preference) both had good fit to the data, each correctly classifying roughly 75% of cases using different variables. Implications for instructional design and enrolment management are discussed. Elsevier Inc. 2021-01 2020-10-19 /pmc/articles/PMC7571457/ /pubmed/33100824 http://dx.doi.org/10.1016/j.iheduc.2020.100776 Text en © 2020 Elsevier Inc. All rights reserved. Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active.
spellingShingle Article
O'Neill, Kevin
Lopes, Natália
Nesbit, John
Reinhardt, Suzanne
Jayasundera, Kanthi
Modeling undergraduates' selection of course modality: A large sample, multi-discipline study
title Modeling undergraduates' selection of course modality: A large sample, multi-discipline study
title_full Modeling undergraduates' selection of course modality: A large sample, multi-discipline study
title_fullStr Modeling undergraduates' selection of course modality: A large sample, multi-discipline study
title_full_unstemmed Modeling undergraduates' selection of course modality: A large sample, multi-discipline study
title_short Modeling undergraduates' selection of course modality: A large sample, multi-discipline study
title_sort modeling undergraduates' selection of course modality: a large sample, multi-discipline study
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7571457/
https://www.ncbi.nlm.nih.gov/pubmed/33100824
http://dx.doi.org/10.1016/j.iheduc.2020.100776
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