Document Type : Original Article
Authors
1
PhD student in educational management, Department of Educational Governance and Human Resources, Ard.C., Islamic Azad University, Ardabil, Iran.
2
Associate Professor, Department of Educational Governance and Human Resources, Ard.C., Islamic Azad University, Ardabil, Iran.
Abstract
Nowadays, accelerating the learning and professional development of teachers and professors is of great importance due to the development of the use of artificial intelligence in education. Therefore, the purpose of the present study was to explore the challenges and opportunities of artificial intelligence with an emphasis on the professional development of teachers.This research is qualitative-quantitative in approach and applied-descriptive in purpose, and through in-depth semi-structured interviews, it has developed and validated a conceptual framework using thematic analysis in 2024. The statistical population included 135 experts, scholars, and professors in the field of education and higher education, of whom 12 were selected through purposive sampling using the saturation rule for the qualitative part and 100 were selected as a sample using the Cochran method for the quantitative part. In order to ensure the validity of the research, an attempt was made to select a statistical sample of individuals who had the necessary knowledge and expertise in the field of research and to minimize researcher intervention in the research. To calculate the reliability, the intra-subject or two-coder agreement method was used, which is equal to 79%. Considering that the reliability level is more than 60%, the coding reliability was confirmed. Therefore, it can be claimed that the level of reliability of the interview analysis is appropriate. Also, Atlasti 8 software was used for qualitative analysis and coding, and SPSS 26 was used for quantitative data analysis. According to the results of interviews with experts and activists, the role of artificial intelligence can be classified in terms of opportunities and challenges and 9 organizing themes for teachers' professional development. Opportunities were identified under four organizing themes, namely: technology integration with educational goals, educational networking capabilities, globalization of education, and teacher job value creation. Challenges were categorized under five organizing themes, namely: talent gap, teacher and student security and privacy, ongoing system maintenance, and lack of integration capabilities. Finally, based on the analyses conducted on qualitative and quantitative data, a paradigmatic model of the role of artificial intelligence in teachers' professional development was presented. The final model of this research can be useful in implementing and operationalizing artificial intelligence for teacher professional development. This study minimized selection bias by having two independent reviewers responsible for study selection and data extraction, with very high agreement in both processes.
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