This study investigates the transformative impact of generative AI (GenAI), particularly ChatGPT, on higher education through a mixed-methods approach combining survey analysis and scenario forecasting. The research addresses two critical gaps in existing literature: (1) the lack of stakeholder-specific analysis separating student and educator perspectives, and (2) the absence of concrete solution strategies for GenAI integration. The core methodology integrates quantitative data from 188 student respondents with qualitative scenario analysis, revealing distinct patterns in GenAI adoption. Key findings indicate that 66% of students find ChatGPT more helpful than traditional resources, with 89% reporting workload reduction benefits. However, 70% express concerns about academic dishonesty, creating a paradox where students simultaneously value GenAI’s utility while recognizing its risks.
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