Examination of Articles Published about Self-Regulated Learning in Selected Journals of Instructional Technologies Field from 2011 to 2016

Authors : Sinan KAYA, Beyza ÖZKEŞ
Pages : 227-236
View : 46 | Download : 8
Publication Date : 2017-12-01
Article Type : Research Paper
Abstract :The aim of this study is to examine the articles on self-regulated learning published between the years 2011-2016 leading international 6 journals in the field of instructional technologies within Social Sciences Citation Index insert ignore into journalissuearticles values(SSCI);. Examined articles contain the words “self-regulated learning” or “self-regulation” in the title, abstract or keywords of the Australasian Journal of Educational Technology insert ignore into journalissuearticles values(AJET);, British Journal of Educational Technology insert ignore into journalissuearticles values(BJET);, Computers & Education insert ignore into journalissuearticles values(C&E);, Educational Technology Research & Development insert ignore into journalissuearticles values(ETR&D);, Educational Technology & Society insert ignore into journalissuearticles values(ET&S); and Journal of Computer Assisted Learning insert ignore into journalissuearticles values(JCAL);. In the study, data collection tool as called “Article Review Form” have been used. The title, abstract, or keywords of the selected journals include 56 articles containing the words “self-regulated learning” or “self- regulation” examined using content analysis method in terms of research method, sample method, sample level, sample size, sample type, data collection tool, data collection method and data analysis method. When the results of the research are examined, the most “quantitative method” as a method, the most “survey” as a data collection tool, the most “online/computer supported” as a data collection method, the most “random” as a sampling choice, the most “31- 100 interval” as the sampling size, the most “undergraduate level” as sample level, except of science, mathematics and social the most “other” as the sample type and it has been seen that the most “predictive analysis” method is preferred to the data analysis method.
Keywords : Self regulated learning, instructional technologies, research trends

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