Some guidance on conducting and reporting qualitative studies

Twining, Peter; Heller, Rachelle S.; Nussbaum, Miguél; Tsai, Chin Chung

doi:10.1016/j.compedu.2016.12.002

Cited by 191 publications

(116 citation statements)

References 21 publications

(92 reference statements)

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“…For this initial proposal, and as both numerical and non-numerical data from a specific MOOC were viewed as symbolic representations of the studied phenomenon requiring interpretation, a qualitative interpretivist approach was conducted (Twining, Heller, Nussbaum, & Tsai, 2017). This approach allowed identifying and empirically validating a set of factors that may affect the enrolment, continuance, and learning of MOOC participants, an unusual but needed approach in MOOC research (Gamage et al, 2015).…”

Section: Methodsmentioning

confidence: 99%

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MOOC Success Factors: Proposal of an Analysis Framework

Azevedo

Marques

2017

JITE:IIP

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Aim/PurposeFrom an idea of lifelong-learning-for-all to a phenomenon affecting higher education, Massive Open Online Courses (MOOCs) can be the next step to a truly universal education. Indeed, MOOC enrolment rates can be astoundingly high; still, their completion rates are frequently disappointingly low. Nevertheless, as courses, the participants' enrolment and learning within the MOOCs must be considered when assessing their success. In this paper, the authors' aim is to reflect on what makes a MOOC successful to propose an analysis framework of MOOC success factors. Background A literature review was conducted to identify reported MOOC success factors and to propose an analysis framework. Methodology This literature-based framework was tested against data of a specific MOOC and refined, within a qualitative interpretivist methodology. The data were collected from the 'As alterações climáticas nos média escolares -Clima@EduMedia' course, which was developed by the project Clima@EduMedia and was submitted to content analysis. This MOOC aimed to support science and school media teachers in the use of media to teach climate change. Contribution By proposing a MOOC success factors framework the authors are attempting to contribute to fill in a literature gap regarding what concerns criteria to consider a specific MOOC successful. Findings This work major finding is a literature-based and empirically refined MOOC success factors analysis framework. Recommendations for PractitionersThe proposed framework is also a set of best practices relevant to MOOC developers, particularly when targeting teachers as potential participants. Recommendation for ResearchersThis work's relevance is also based on its contribution to increasing empirical research on MOOCs. MOOC Success Factors 234 Impact on SocietyBy providing a proposal of a framework on success factors for MOOCs, the authors hope to contribute to the quality of MOOCs. Future ResearchFuture work should refine further the proposed framework, by testing it against data collected in other MOOCs.

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Section: Methodsmentioning

confidence: 99%

“…These topics prompted teachers to mention factors influencing their enrolment, continuance, and learning within the MOOC. Gathering data from responses to open-ended questions is a frequent source of information in content analysis (Twining et al, 2017).…”

Section: Data Collection and Analysismentioning

confidence: 99%

MOOC Success Factors: Proposal of an Analysis Framework

Azevedo

Marques

2017

JITE:IIP

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“…This places them among an increasing number of journals who are seeking to provide advice to researchers, in order to boost submission quality (e.g., American Journal of Nursing, 2017;Twining et al, 2017). The concept map in Figure 3 depicts the major areas covered within these editorials, which shows that there was a particular concern about the quality of research being sent to AJET for potential publication (research-educational-quality-studyeducational-quality-issues-educational-quality), as well as challenges in the field (methods-studyeducational-challenges-field).…”

Section: Editorial Content Analysismentioning

confidence: 99%

Helping doctoral students crack the publication code: An evaluation and content analysis of the Australasian Journal of Educational Technology

Bond

2018

AJET

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Getting published in an academic journal is no easy feat, especially for doctoral students and English as a second language speakers, seeking to publish in English. Considering the relatively low acceptance rate for educational technology journals, this article seeks to provide guidance by following the framework of rigour, impact, and prestige (West & Rich, 2012) to evaluate the Australasian Journal of Educational Technology (AJET), as well as applying computer-assisted content analysis techniques in new and unique ways, in order to understand how AJET is furthering scholarship in the field. Findings reveal a strong focus on Asia-Pacific scholarship, with little representation from other continents. However, the editors are seeking to improve this, by providing regular advice in editorials for conducting rigorous research and hints on how to get published. Future research trends are identified, including teacher development, learning environments and cognition, and the role of feedback in student learning. In addition, recommendations to editors and doctoral students are provided.

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“…According to O'Brien, Ilene B.Harris, Thomas J.Beckman, Darcy A.Reed, and David A.Cook, data collection and data analysis are the important processes linking the research question to the conclusion [10]. Twining, Heller, Nussbaum, and Tsai also Allison Tong, P Sainsbury, and J Craig stated similar thing [12] [13]. In this research, it uses three-year motorcycle sale records and types of motorcycle sold in each location.…”

Section: Introductionmentioning

confidence: 99%

Decision Table with Inventory Turnover Ratio to Solve Operational and Strategic Issues

Surjandy

Ratnasari

2018

JISEBI

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The research was conducted at PT CPC using qualitative research methodology. It focused on group discussion to identify problem statements and analyst selling data to make an inventory distribution model strategy. The aims are to determine whether decision table could be implemented in the current situation in PT CPC, and the combination method between decision table and inventory turnover ratio indicator can solve PT CPC problem.The results find that a simple decision table is hard to be implemented due to the complexity of the problem. However, the combination of the decision table with an indicator of inventory can be used as a solution to the problem at PT CPC.

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Some guidance on conducting and reporting qualitative studies

Cited by 191 publications

References 21 publications

MOOC Success Factors: Proposal of an Analysis Framework

MOOC Success Factors: Proposal of an Analysis Framework

Helping doctoral students crack the publication code: An evaluation and content analysis of the Australasian Journal of Educational Technology

Decision Table with Inventory Turnover Ratio to Solve Operational and Strategic Issues

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