Thesis:

Challenges and strategies for applying artificial intelligence in educational environment

This research aims to investigate the challenges and strategies of artificial intelligence applications in educational environments. This research, by collecting qualitative data, sought to explore the contexts and consequences of the applicability of artificial intelligence in education; the qualitative strategy of the present research is based on the grounded theory method relying on the Glaser model. The statistical population of this research includes all professors, students, and university lecturers in the field of educational sciences (curriculum planning) of Sabzevar Azad University in 1403-04, about 80 people who were selected using the theoretical sampling method. Theoretical sampling is a type of purposeful sampling that focuses on developing a theory. In this research, in-depth face-to-face interviews with open-ended questions from professors in educational sciences were used. Each interview took about 60 minutes. In order to make more accurate impressions of the views expressed by the participants, the interviews were immediately analyzed after being recorded and the conversations were reviewed. In the qualitative research phase, Max Quda software was used to analyze the data. In response to the first question of the challenges of artificial intelligence applications in educational environments, 171 meaningful phrases and 38 basic themes were extracted in the first phase. In the next phase, the 38 basic themes identified were categorized into 6 organizing themes and 1 overarching theme. The challenges of artificial intelligence applications in educational environments consist of 1 overarching theme, which is shown in a general diagram with Max Quda software.

Keywords: Keywords: Challenges and strategy, artificial intelligence, educational environments.