Document Type : Research Paper

Authors

1 Faculty Member, Department of Educational Management and Planning, Faculty of Educational Sciences and Psychology, Shiraz University, Shiraz, Iran

2 PhD in Curriculum Planning, Shiraz University, Shiraz, Iran

3 M.A, executive management, Payam Noor Sari University, Sari city, Iran

4 Member of the academic staff, Department of Management and Curriculum Planning, Farhangian University, Shiraz, Iran

5 M.A., student of Curriculum Development Shiraz University, Shiraz, Iran.

6 M.A Student, Curriculum Planning, Shiraz University, Shiraz, Iran

Abstract

Purpose: It was an evaluative review of the use of artificial intelligence in general education.
Method and tools: This is a qualitative research of the synthesis type, which was carried out with an evaluative review method based on the five-step methodological framework of Amali and Arxi. The synthesis research team consisted of three lesson planning specialists, one person proficient in the synthesis research method, and one expert in searching databases. 52 research sources related to acceptance criteria, including articles on the systematic review of artificial intelligence in education, how artificial intelligence plays a role in production, strengthening education and learning in the present and future, and the impact of artificial intelligence in facilitating and accelerating education and learning, were used as the basis of analysis
Findings: The result is the extraction of three themes organizing the role of artificial intelligence in learning, the role of artificial intelligence in teaching and the role of artificial intelligence in educational evaluation. The validity of the data was confirmed by using the three techniques of reliability, transferability and alignment of data and trust in data by carefully guiding the flow of information collection and alignment of researchers.
Results: In general, the findings of this article showed that artificial intelligence, if used correctly and responsibly, with the advantage of being data-oriented and creating a vast and unlimited field of education, causes effective learning. It also outlines the potential path of human-machine dialogue systems in the future and shows a deep insight into future educational and

Keywords