A content analysis of graduate dissertation using the flipped learning method

Abstract

The aim of this study was to make a situation assessment by examining the postgraduate theses on flipped learning in Turkey between 2014-2023 in terms of thematic, methodological, and analysis techniques. In the study, the systematic review method, which is one of the literature review methods, was used, and data were collected by document analysis method with 177 graduate dissertation samples sourced from the National Thesis Center of the Council of Higher Education. Thematic examination revealed that the many of studies were completed in 2019 at the master’s level within programs at Gazi University, primarily in the Institute of Social Sciences and focusing on the discipline of foreign language education. Methodologically, mixed research methods were frequently used, with the pretest-posttest control group design being prevalent, and a university-level sample size ranging from 1 to 50. Academic achievement tests were the preferred quantitative data collection tools, while interviews were commonly used for qualitative data. In terms of analysis techniques, the t-test dominated quantitative data analysis, while content analysis was the primary method for qualitative data analysis.

Keywords

• Flipped Learning
• Postgraduate Theses
• Document Analysis
• Content Analysis

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