Transformation in Behavioral and Social Sciences Education through Artificial Intelligence
Keywords:
Moral capital, government organizations, meta-synthesis methodAbstract
In the 21st century, technology has advanced significantly, leading to the development of numerous high-tech products that facilitate human work and activities. Among the most significant of these advancements is artificial intelligence (AI). AI enables the creation of solutions capable of addressing complex problems and offers novel approaches to problem-solving. It has opened the door to a revolution in the learning processes of social studies, transitioning from traditional educational methods to intelligent learning approaches. The present study aims to examine the challenges and opportunities presented by AI and information technology in universities within the modern world. This qualitative research employs a meta-synthesis methodology. Data collection tools include documents and prior research and library materials in this domain. The data analysis method utilized is open coding. According to the study's findings, out of 270 related articles, 37 primary or criterion studies were analyzed. The extracted propositions encompass 46 subcategories and 4 main categories. Based on the results of this study, 46 areas of AI transformation in the education of social and behavioral sciences were identified from the selected articles, categorized into four key domains: intelligent teaching and instruction in social sciences, intelligent learning in social sciences, intelligent management in social sciences, and intelligent assessment in social sciences. These areas contribute to the transformation of social sciences education.
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Copyright (c) 2025 حامد سلیم زاده (نویسنده); محمدجواد تقی پوریان; بهزاد فرخ سرشت, جواد گیلانی پور (نویسنده)

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