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کاربرد نوع شرط:
- جایگاه : پژوهشی
- مجله: Interdisciplinary Journal of Virtual Learning in Medical Sciences
- نوع مقاله: Journal Article
- کلمات کلیدی: MOOCs,Competencies,Instructors
- چکیده:
- چکیده انگلیسی: Background: The aim of this study was to identify the instructor competencies required for teaching in Massive Open Online Courses (MOOCs). A qualitative approach was applied to achieve this objective. Methods: Qualitative-inductive content analysis was used to identify the competencies of instructors in MOOCs. For this purpose, the articles related to the competence of instructors in MOOCs courses were first collected and the units of analysis were determined. In this respect, purposeful sampling and research criteria were applied to select 31 units from a total of 173 articles extracted from valid scientific databases. Data inclusion criteria limited the search to the articles with relevant topics published between 2006 and 2019. Reputable Persian and international databases were searched for the relevant data until theoretical data saturation was reached. An assessment of applicability and transferability was performed for data validation. Finally, the main categories were distinguished from the sub-categories, and a conceptual model was designed for identifying teachers’ competence in MOOCs. Results: The four main categories of competency obtained from data analysis were as follows: knowledge competencies (Dimension of Knowledge), professional skills (Instructional Content Development, Instructional Design, Evaluation, Communication, Participatory, Management, and Technical Skills), Professional attitude skills (Motivational and Emotional Skills) and the personality dimension of the instructors. Conclusion: This study draws out the possible implications of developing a curriculum in view of instructors’ competence in MOOCs with the goal of providing a comprehensive perspective on their performance in such courses.
- انتشار مقاله: 24-02-1399
- نویسندگان: Sajad Dehghani,Ali Akbar Sheikhi Fini,Hossein Zeinalipour,Eisa Rezaei
- مشاهده
- جایگاه : پژوهشی
- مجله: Interdisciplinary Journal of Virtual Learning in Medical Sciences
- نوع مقاله: Journal Article
- کلمات کلیدی: Education,Models,Instructional design,Instructional Technology,Connectivism Instructional Design
- چکیده:
- چکیده انگلیسی: Introduction: The aim of this research was to qualitatively analyze the teaching and learning components of the connectivism theory and introduce a conceptual model for designing of the connectivist learning.Materials & Methods: The method of this study was the Mayring qualitative content analysis. Initially, several questions were raised about educational design patterns including a) what are the components of education in connectivism theory? B) What is the sequence of education elements in connectivism theory? C) What are the methods of education presentation and the evaluation in connectivism theory? Then, using the theoretical framework of the mentioned theory, categories and sub-categories of the questions were identified. Finally, the main components were coded and the conceptual model for designing the learning ecologies was developed based on research findings. The statistical population of this research was credible connectivism documents, articles, posts, and reviews written during 2004-2012 (540 sources). The content of these resources were selected and analyzed using the purposive sampling method.Results: Results of the analysis led to the identification of the components of connectivism theory that introduced a learning ecology design model by combining the main components. The model consisted of eight components that include accreditation and analysis, network and ecology design, purposing- the creation of common interest, facilitating the flow of knowledge, network empowerment, remixing-recreation, feedback-evaluation, and repurposing.Conclusion: The ecology learning design model was considered in terms of micro and macro instructional design. It may be used in face-to-face, online and combined environments.
- انتشار مقاله: 11-10-1398
- نویسندگان: Eisa Rezaei,Mohammadreza Nili,Hashem Fardanesh,Mohammad Shahalizadeh
- مشاهده
- جایگاه : پژوهشی
- مجله: Interdisciplinary Journal of Virtual Learning in Medical Sciences
- نوع مقاله: Journal Article
- کلمات کلیدی: MOOCs,Competencies,Instructors
- چکیده:
- چکیده انگلیسی: Background: The aim of this study was to identify the instructor competencies required for teaching in Massive Open Online Courses (MOOCs). A qualitative approach was applied to achieve this objective. Methods: Qualitative-inductive content analysis was used to identify the competencies of instructors in MOOCs. For this purpose, the articles related to the competence of instructors in MOOCs courses were first collected and the units of analysis were determined. In this respect, purposeful sampling and research criteria were applied to select 31 units from a total of 173 articles extracted from valid scientific databases. Data inclusion criteria limited the search to the articles with relevant topics published between 2006 and 2019. Reputable Persian and international databases were searched for the relevant data until theoretical data saturation was reached. An assessment of applicability and transferability was performed for data validation. Finally, the main categories were distinguished from the sub-categories, and a conceptual model was designed for identifying teachers’ competence in MOOCs. Results: The four main categories of competency obtained from data analysis were as follows: knowledge competencies (Dimension of Knowledge), professional skills (Instructional Content Development, Instructional Design, Evaluation, Communication, Participatory, Management, and Technical Skills), Professional attitude skills (Motivational and Emotional Skills) and the personality dimension of the instructors. Conclusion: This study draws out the possible implications of developing a curriculum in view of instructors’ competence in MOOCs with the goal of providing a comprehensive perspective on their performance in such courses.
- انتشار مقاله: 24-02-1399
- نویسندگان: Sajad Dehghani,Ali Akbar Sheikhi Fini,Hossein Zeinalipour,Eisa Rezaei
- مشاهده