Investigating the Factors Contributing to Professional Learning Community in E- Learning Environment; Using Content Analysis Method

A professional learning community consisting of dialogue and engagement. Interaction does not mean simple one-way transfer of information from teacher to learner, but the discovery of ideas through others, the search for answers to questions and problem solving with others. In this paper, 15 papers were reviewed and analyzes continued to saturation. The registration unit was considered in this research. At the end of inductive content analysis, 6 categories and 17 subcategories emerged with continuous comparison of the obtained codes A professional learning community consisting of dialogue and engagement. Interaction does not mean simple one-way transfer of information from teacher to learner, but the discovery of ideas through others, the search for answers to questions and problem solving with others. In this paper, the factors contributing to the professional learning community in distance learning have been studied. Using qualitative content analysis method, a structured interview of teachers, experts and e-learning students at the educational institution was conducted in a targeted way. 15 papers were reviewed and analyzes continued to saturation. The registration unit was considered in this research. At the end of inductive content analysis, 6 categories and 17 subcategories emerged with continuous comparison of the obtained codes. The main categories are teacher, participation, online environment, time, tools and evaluation. The result from this article can be a guide to the action of trainers and distance education designers to increase student participation in formal education courses and finally to form a community of professional learning in this environment.

Investigating the Factors Contributing to Professional Learning Community in E- Learning Environment; Using Content Analysis Method Keywords:

participation , Distance learning , professional learning community , Qualitative Content Analysis