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Massive Open Online Courses (MOOCs) Dropout Rate in the World: A Protocol for Systematic Review and Meta-analysis | ||
| Interdisciplinary Journal of Virtual Learning in Medical Sciences | ||
| مقاله 2، دوره 13، شماره 2 - شماره پیاپی 49، شهریور 2022، صفحه 85-92 اصل مقاله (483.03 K) | ||
| نوع مقاله: Review Article | ||
| شناسه دیجیتال (DOI): 10.30476/ijvlms.2022.94572.1138 | ||
| نویسندگان | ||
| Manoosh Mehrabi* 1؛ Ali Reza Safarpour2؛ Abbas Keshtkar3 | ||
| 1Department of e-Learning in Medical Sciences, Virtual School, Center of Excellence for e-Learning in Medical Sciences, Shiraz University of Medical Sciences, Shiraz, Iran | ||
| 2Gastroenterohepatology Research Center, Shiraz University of Medical Sciences, Shiraz, Iran. | ||
| 3Department of Health Sciences Education Development, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran | ||
| چکیده | ||
| Introduction: Massive open online course (MOOC) is an online course that is open, meaning there are no barriers to entry, and entails no special educational costs or features. Recently, MOOCs have received increasing popularity throughout the world. Regardless of the subject taught and the university providing the course, the dropout rate of MOOCs is one of the most important challenges ahead. The objective of this systematic review is to estimate the global rate of MOOCs dropout and factors affecting this frequency. Methods: This systematic review will search MEDLINE/PubMed, Scopus, Web of Science (Clarivate Analytics), Embase (Embase. com), ASSIA, CINAHL, Education Research, BEI, and Eric databases systematically according to predefined criteria without language restrictions to retrieve prospective and retrospective observational studies conducted between the 1st of January 2000 and 30th of December 2021, evaluating the frequency of leaving MOOCs throughout the world. Discordances between the two different authors through the processes of screening, selection, quality assessment, and data extraction will be settled via discussion and if the issue cannot be resolved, a third expert advice will be requested. For all studies, forest plots will be shown to represent the separate and pooled frequency along with their 95% confidence intervals. To examine statistical heterogeneity, the Q-statistic test and the I2 statistic will be utilized. To investigate potential reporting bias and non-significant study effects, funnel plots will be employed. Tests, such as Begg’s and Egger’s will also be carried out. The time trends for MOOCs dropout rate will be calculated using a cumulative meta-analysis. Conclusion: As dropout rate is one of the most challenges that universities may encounter, this systematic review will help universities extend their view, save their resources, or maybe design their MOOCs differently. This protocol is registered in Open Science Framework (OSF), available at: https://osf.io/jgyqx/ | ||
| کلیدواژه‌ها | ||
| MOOCs؛ Dropout rate؛ Systematic Review Protocol | ||
| مراجع | ||
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