SCIENCE, TECHNOLOGY AND INNOVATION POLICY FOCUS OF STUDY This book introduces advanced students and researchers to interpretive methods for analyzing public policies. It highlights several real-world policy situations where a lack of interpretive focus limits analysis and hinders effective policy responses. The authors advocate for an integrative perspective that allows dialogue between interpretive and positivist approaches. This integrative approach enhances the understanding of data while uncovering hidden ideological and normative foundations. By emphasizing the importance of context and meaning, the study aims to enrich policy analysis and improve decision-making processes. POLICY RECOMMENDATION The authors recommend adopting an interpretive framework in policy analysis to foster deeper policy insights and foster engagement with policy actors. This approach can reveal diverse perspectives and underlying ideologies, leading to more effective and contextually relevant policy solutions. FOCUS OF STUDY This study examines the integration of generative artificial intelligence (GenAI) in higher education policy within an Asian context, particularly focusing on the challenges and opportunities it presents. It reviews ten articles that analyze the effects of GenAI on teaching, learning, and research, emphasizing the diverse educational landscape in Asia. The authors highlight the dual nature of GenAI, showcasing its potential to enhance personalized learning and streamline administrative processes while also raising concerns about ethical issues, equity, and the risk of diminishing critical thinking skills. By synthesizing findings from various perspectives, the paper proposes actionable strategies for policymakers to effectively navigate the integration of GenAI in higher education, ensuring that its benefits are maximized while mitigating associated risks. POLICY RECOMMENDATION Policymakers should develop comprehensive guidelines for the responsible integration of GenAI in higher education, emphasizing equity, ethical practices, and capacity building. Collaborative frameworks should be established to ensure inclusive access to GenAI resources and promote continuous adaptation to evolving educational needs. Lejano, Raul P., and Wing Shan Kan. Interpretive Approaches to Policy Analysis: Hermeneutics for Our Times. Springer Nature, 2025. Capano, Giliberto, Alex Jingwei He, and Sean McMinn. “Riding the tide of generative artificial intelligence in higher education policy: an Asian perspective.” Journal of Asian Public Policy (2025): 1-15. 15 Scholarly Showcase
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