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Massive Open Online Courses (MOOC) Evaluation Methods: Protocol for a Systematic Review
BACKGROUND: Massive open online courses (MOOCs) have increased in popularity in recent years. They target a wide variety of learners and use novel teaching approaches, yet often exhibit low completion rates (10%). It is important to evaluate MOOCs to determine their impact and effectiveness, but lit...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
JMIR Publications
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6427096/ https://www.ncbi.nlm.nih.gov/pubmed/30843868 http://dx.doi.org/10.2196/12087 |
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author | Foley, Kimberley Alturkistani, Abrar Carter, Alison Stenfors, Terese Blum, Elizabeth Car, Josip Majeed, Azeem Brindley, David Meinert, Edward |
author_facet | Foley, Kimberley Alturkistani, Abrar Carter, Alison Stenfors, Terese Blum, Elizabeth Car, Josip Majeed, Azeem Brindley, David Meinert, Edward |
author_sort | Foley, Kimberley |
collection | PubMed |
description | BACKGROUND: Massive open online courses (MOOCs) have increased in popularity in recent years. They target a wide variety of learners and use novel teaching approaches, yet often exhibit low completion rates (10%). It is important to evaluate MOOCs to determine their impact and effectiveness, but little is known at this point about the methodologies that should be used for evaluation. OBJECTIVE: The purpose of this paper is to provide a protocol for a systematic review on MOOC evaluation methods. METHODS: We will use the Preferred Reporting Items for Systematic Reviews and Meta-Analyses Protocols (PRISMA-P) guidelines for reporting this protocol. We developed a population, intervention, comparator, and outcome (PICO) framework to guide the search strategy, based on the overarching question, “What methods have been used to evaluate MOOCs?” The review will follow six stages: 1) literature search, 2) article selection, 3) data extraction, 4) quality appraisal, 5) data analysis, and 6) data synthesis. RESULTS: The systematic review is ongoing. We completed the data searches and data abstraction in October and November 2018. We are now analyzing the data and expect to complete the systematic review by March 2019. CONCLUSIONS: This systematic review will provide a useful summary of the methods used for evaluation of MOOCs and the strengths and limitations of each approach. It will also identify gaps in the literature and areas for future work. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): DERR1-10.2196/12087 |
format | Online Article Text |
id | pubmed-6427096 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | JMIR Publications |
record_format | MEDLINE/PubMed |
spelling | pubmed-64270962019-04-17 Massive Open Online Courses (MOOC) Evaluation Methods: Protocol for a Systematic Review Foley, Kimberley Alturkistani, Abrar Carter, Alison Stenfors, Terese Blum, Elizabeth Car, Josip Majeed, Azeem Brindley, David Meinert, Edward JMIR Res Protoc Protocol BACKGROUND: Massive open online courses (MOOCs) have increased in popularity in recent years. They target a wide variety of learners and use novel teaching approaches, yet often exhibit low completion rates (10%). It is important to evaluate MOOCs to determine their impact and effectiveness, but little is known at this point about the methodologies that should be used for evaluation. OBJECTIVE: The purpose of this paper is to provide a protocol for a systematic review on MOOC evaluation methods. METHODS: We will use the Preferred Reporting Items for Systematic Reviews and Meta-Analyses Protocols (PRISMA-P) guidelines for reporting this protocol. We developed a population, intervention, comparator, and outcome (PICO) framework to guide the search strategy, based on the overarching question, “What methods have been used to evaluate MOOCs?” The review will follow six stages: 1) literature search, 2) article selection, 3) data extraction, 4) quality appraisal, 5) data analysis, and 6) data synthesis. RESULTS: The systematic review is ongoing. We completed the data searches and data abstraction in October and November 2018. We are now analyzing the data and expect to complete the systematic review by March 2019. CONCLUSIONS: This systematic review will provide a useful summary of the methods used for evaluation of MOOCs and the strengths and limitations of each approach. It will also identify gaps in the literature and areas for future work. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): DERR1-10.2196/12087 JMIR Publications 2019-03-07 /pmc/articles/PMC6427096/ /pubmed/30843868 http://dx.doi.org/10.2196/12087 Text en ©Kimberley Foley, Abrar Alturkistani, Alison Carter, Terese Stenfors, Elizabeth Blum, Josip Car, Azeem Majeed, David Brindley, Edward Meinert. Originally published in JMIR Research Protocols (http://www.researchprotocols.org), 07.03.2019. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in JMIR Research Protocols, is properly cited. The complete bibliographic information, a link to the original publication on http://www.researchprotocols.org, as well as this copyright and license information must be included. |
spellingShingle | Protocol Foley, Kimberley Alturkistani, Abrar Carter, Alison Stenfors, Terese Blum, Elizabeth Car, Josip Majeed, Azeem Brindley, David Meinert, Edward Massive Open Online Courses (MOOC) Evaluation Methods: Protocol for a Systematic Review |
title | Massive Open Online Courses (MOOC) Evaluation Methods: Protocol for a Systematic Review |
title_full | Massive Open Online Courses (MOOC) Evaluation Methods: Protocol for a Systematic Review |
title_fullStr | Massive Open Online Courses (MOOC) Evaluation Methods: Protocol for a Systematic Review |
title_full_unstemmed | Massive Open Online Courses (MOOC) Evaluation Methods: Protocol for a Systematic Review |
title_short | Massive Open Online Courses (MOOC) Evaluation Methods: Protocol for a Systematic Review |
title_sort | massive open online courses (mooc) evaluation methods: protocol for a systematic review |
topic | Protocol |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6427096/ https://www.ncbi.nlm.nih.gov/pubmed/30843868 http://dx.doi.org/10.2196/12087 |
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