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This chapter presents a novel exploration of generative Artificial Intelligence (AI) applications within the context of digital transformation in higher education, specifically focusing on the social sciences. Despite the interest in AI technologies for educational enhancement, there remains a notable gap in the literature: a comprehensive comparison of generative AI tools and their effectiveness in social science education. Addressing this gap, our study serves a dual purpose. Initially, we delineate the potential roles and benefits of generative AI in the pedagogical processes of teaching and learning. Subsequently, we conduct an empirical analysis of five leading generative AI engines to assess their performance and applicability in educational settings. Through this investigation, we aim not only to equip educators with a deeper understanding of the advantages and limitations of current AI technologies but also to inform AI developers about the specific needs of social science educators. The goal is to foster the development of more refined and effective generative AI solutions that can significantly enhance educational outcomes in the digital era.

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