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This paper explores the transformative impact of generative artificial intelligence (AI) on the “Business DataAnalysis and Application” course in the post-2023 era, marking a significant paradigm shift in educational methodologies. It investigates how generative AI reshapes teaching and learning dynamics, enhancing the processing of complex data sets and nurturing critical thinking skills. The study highlights the role of AI in fostering dynamic, personalized, and adaptive learning experiences, addressing the evolving pedagogical needs of the business sector. Key challenges, including equitable access, academic integrity, and ethical considerations such as data privacy and algorithmic bias, are thoroughly examined. The research reveals that the integration of generative AI aligns with current professional demands, equipping students with cutting-edge AI tools, and tailoring learning to individual needs through real-time feedback mechanisms. The study concludes that the incorporation of generative AI into this course signifies a substantial evolution in educationalapproaches, offering profound implications for student learning and professional development.
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Suhan Wu (Sun,) studied this question.
www.synapsesocial.com/papers/68e77b26b6db6435876ef223 — DOI: https://doi.org/10.26689/jcer.v8i2.6081
Suhan Wu
Journal of Contemporary Educational Research
Nanjing Polytechnic Institute
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