This study explores university students' perceptions of generative AI (GenAI) technologies, such as ChatGPT, in higher education, focusing on familiarity, their willingness to engage, potential benefits and challenges, and effective integration. A survey of 399 undergraduate and postgraduate students from various disciplines in Hong Kong revealed a generally positive attitude towards GenAI in teaching and learning. Students recognized the potential for personalized learning support, writing and brainstorming assistance, and research and analysis capabilities. However, concerns about accuracy, privacy, ethical issues, and the impact on personal development, career prospects, and societal values were also expressed. According to John Biggs' 3P model, student perceptions significantly influence learning approaches and outcomes. By understanding students' perceptions, educators and policymakers can tailor GenAI technologies to address needs and concerns while promoting effective learning outcomes. Insights from this study can inform policy development around the integration of GenAI technologies into higher education. By understanding students' perceptions and addressing their concerns, policymakers can create well-informed guidelines and strategies for the responsible and effective implementation of GenAI tools, ultimately enhancing teaching and learning experiences in higher education.
翻译:本研究探讨了大学生对生成AI (GenAI) 技术,例如ChatGPT,在高等教育中的认知,关注其熟悉程度、接受度、潜在的优势和挑战以及有效的整合方式。针对来自香港不同学科的399名本科和研究生进行的调查显示,学生普遍持积极态度,认为GenAI技术可以在教学和学习中提供个性化的学习支持、写作和头脑风暴支持、研究和分析能力等。然而,学生也对准确性、隐私、道德问题以及对个人发展、职业前景和社会价值的影响表示担忧。根据 John Biggs 的 3P 模型,学生的认知会显著影响其学习方法和成果。通过了解学生的认知,教育工作者和决策者可以量身定制GenAI技术,以满足需求和关注,同时促进有效的学习成果。本研究的洞察可以为GenAI技术在高等教育中的整合制定政策。通过了解学生的认知并解决他们的担忧,决策者可以制定知情的指南和策略,确保负责任且有效地使用GenAI工具,最终提高高等教育中的教学和学习体验。