Identifying and Validating the Main Components of Professional Development Courses for Faculty Members of Farhangian University with a Reverse Learning Approach Meta-Composition and Interview

Abstract

Purpose: The present study was conducted to design a model of professional development courses for faculty members of Farhangian University with a reverse learning approach. Methodology: This study was meta-combined in terms of applied purpose and method used. The prototype consists of 3152 studies obtained from scientific databases from 2000 to 2020. After screening in terms of title, abstract, content, research methodology, 60 studies were selected and analyzed. The hyper-combination results led to the identification of 9 main components and 58 sub-components. In the next stage, in order to enrich the research data, an interview was conducted with experts (faculty members of Farhangian University and familiar with professional development courses) in which 12 main components and 50 sub-components were identified. At this stage, data analysis was performed by theme analysis method. Then, the data of both phases were combined with each other, which finally obtained 15 main components and 55 sub-components. In the next step, a questionnaire was extracted from the identified components and provided to the experts to rank the components. Findings: The components of institutional factors, support and support, pedagogy, evaluation and quality assurance, learning templates were the most important for experts in courses of professional development with reverse learning approach. Conclusion: Finally, the lavage coefficient was used to validate the components and finally 10 main components and 38 sub-components were approved