| 英文摘要 |
The rapid advancement of Artificial Intelligence (AI) poses significant challenges to the educational landscape. The Humanities and Social Sciences (HSS) are particularly viewed as the disciplines most susceptible to the impact of AI trends and thus face an urgent need for transformation. To assist HSS departments in higher education institutions with their transitional development in the AI era, the Department of Information and Technology Education of the Ministry of Education (MOE) launched the“Humanities and Social Sciences and Industry Practice Innovation Linkage Project”(hereinafter referred to as the iLink Project) in 2023. This initiative encourages HSS departments to integrate industrial issues through innovative curricula, competitions, and corporate collaborations, thereby enhancing the teaching capacity of faculty and the professional competitiveness of students. Based on the execution results of the first phase of the iLink Project, this study explores the patterns and challenges of connecting HSS professionalism with industry needs in the AI era and proposes potential directions for improvement and policy recommendations. Employing outcome analysis, workshop feedback, participant observation, and stakeholder interviews, this study finds that while the iLink Project has preliminarily responded to the policy goal of strengthening the connection between the HSS field and industry, challenges remain regarding industry-academia cooperation, collaborative models, and institutional support. First, industry-academia collaboration tends to be superficial; most project teams remain at the level of one-way learning formats such as guest lectures by industry experts and corporate visits, generally lacking mechanisms for deep, bidirectional collaboration. Second, students' AI application capabilities remain largely at the level of tool operation, resulting in a gap between their soft skills—such as project management, cross-disciplinary collaboration, and data governance—and industry expectations. Finally, institutional support mechanisms are generally insufficient, as most participating universities place limited emphasis on such innovative teaching and industrial linkages, indicating an urgent need for adjustment and improvement. Based on these findings, this study proposes adjustments focusing on cross-university digital competency certification, resource sharing for industry linkages, and tracking student career outcomes. First, it is recommended to establish cross-university standards for digital competency certification and reward mechanisms for deep industry-academia linkages to deepen the connection between project teams and the industry. Second, systematic empowerment mechanisms and an integrated platform for industry-academia matchmaking should be developed to strengthen the industrial linkage capabilities of project teams through resource sharing. Finally, it is suggested to continuously track the transformation of student competencies and employment development, while compiling best practices and key elements from high-performing teams, thereby providing corresponding strategies and recommendations for teaching and industrial linkages in the Humanities and Social Sciences. |