12 He, Alex Jingwei, Zhuoni Zhang, Pritish Anand, and Sean McMinn. “Embracing generative artificial intelligence tools in higher education: A survey study at the Hong Kong University of Science and Technology.” Journal of Asian Public Policy 18, no. 1 (2025). Science, Technology, and Innovation Policy SCHOLARLY SHOWCASE Focus of Study This study investigates the use of ChatGPT among students at The Hong Kong University of Science and Technology (HKUST), focusing on its impact on learning and career development. A survey of 680 students revealed high engagement with ChatGPT, with most intending to continue its use. Demographic factors such as age, gender, and field of study significantly influenced perceptions and usage patterns. Notably, research postgraduate students demonstrated greater reliance on ChatGPT, while male students perceived a stronger impact on their learning outcomes. The findings underscore the importance of AI literacy in enhancing the benefits of generative AI tools in education. Policy Recommendations Higher education institutions should implement mandatory AI literacy courses to equip all students with essential skills for leveraging tools like ChatGPT effectively. Additionally, policies should be tailored to address demographic differences in AI tool usage, ensuring equitable access and maximizing the educational benefits of generative AI technologies. Luo, Gloria Wenting, Viktória Döme, Weronika Cycak, and Kira JM Matus. “Innovation policy for sustainability transitions in small economies: Energy technology innovation in Hong Kong.” Environmental Innovation and Societal Transitions 51 (2024): 100841. Focus of Study The article analyzes Hong Kong’s innovation policy for sustainable energy transitions, comparing it with 11 other small, high-income economies. It identifies 696 innovation interventions from 2008 to 2020, categorizing them into 42 policy instruments. The findings reveal that Hong Kong’s policy mix relies heavily on overarching strategies and demand-side policies, but lacks sufficient support for domestic clean energy technology R&D. This gap hinders the city’s capacity to overcome the “valley of death” in innovation, contrasting with more proactive peers that provide targeted R&D funding and business support. Policy Recommendations To enhance its energy innovation capabilities, Hong Kong should develop a strategic research and innovation framework specifically targeting clean energy technologies. This includes increasing R&D funding, fostering public-private partnerships, and implementing clearer policy guidelines to support the commercialization of innovative solutions and effectively bridge the innovation gap.
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