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Big course small talk: twitter and MOOCs: a systematic review of research designs 2011–2017

Costello, Eamon orcid logoORCID: 0000-0002-2775-6006, Brown, Mark orcid logoORCID: 0000-0002-7927-6717, Nic Giolla Mhichíl, Mairéad and Zhang, Jingjing orcid logoORCID: 0000-0002-0584-534X (2018) Big course small talk: twitter and MOOCs: a systematic review of research designs 2011–2017. International Journal of Educational Technology in Higher Education, 15 (44). pp. 1-16. ISSN 2365-9440

Abstract
Although research on the use of Twitter in support of learning and teaching has become an established field of study the role of Twitter in the context of Massive Open Online Courses (MOOCs) has not yet been adequately considered and specifically in the literature. Accordingly, this paper addresses a number of gaps in the scholarly interface between Twitter and MOOCs by undertaking a comprehensive mapping of the current literature. In so doing the paper examines research design through: data collection and analysis techniques; scope and scale of existing studies; and theoretical approaches and underpinnings in the empirical research published between 2011 and 2017. Findings serve to demonstrate the diversity of this line of research, particularly in scale and scope of studies and in the approaches taken. By mapping the research using a systematic review methodology it is shown that there is a lack of qualitative data on how Twitter is used by learners and teachers in MOOCs. Moreover, a number of methodological gaps exist in published quantitative survey research at the interface between Twitter and MOOCs, including issues in the trustworthy reporting of results and full consideration of tweet and tweet meta-data collection. At the same time the paper highlights areas of methodological “best practice” in the research around these issues and in other important areas such as large-scale hashtag analyses of the use of Twitter in MOOCs. In reviewing the literature the findings aim to strengthen the methodological foundation of future work and help shape a stronger research agenda in this emerging area.
Metadata
Item Type:Article (Published)
Refereed:Yes
Uncontrolled Keywords:MOOC; Twitter; Systematic review; Methodology
Subjects:Social Sciences > Distance education
Social Sciences > Education
Social Sciences > Educational technology
DCU Faculties and Centres:DCU Faculties and Schools > Faculty of Humanities and Social Science > Fiontar agus Scoil na Gaeilge
DCU Faculties and Schools > NIDL (National Institute for Digital Learning)
Publisher:SpringerOpen
Official URL:https://doi.org/10.1186/s41239-018-0127-9
Copyright Information:© The Author(s) 2018
Use License:This item is licensed under a Creative Commons Attribution-NonCommercial-Share Alike 3.0 License. View License
Funders:Chinese National Education Science Foundation [Project No. CCA120110].
ID Code:23085
Deposited On:13 Mar 2019 16:59 by Thomas Murtagh . Last Modified 16 Apr 2021 13:22
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