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作 者:朱俊华 许璐瑶 马近远 Zhu Junhua;Xu Luyao;Ma Jinyuan
机构地区:[1]香港科技大学(广州)教育科学学院 [2]香港科技大学(广州)教育创新与实践研究所 [3]麦吉尔大学
出 处:《高等工程教育研究》2025年第2期66-72,共7页Research in Higher Education of Engineering
基 金:国家社会科学基金(教育学)青年项目(CIA24028)。
摘 要:以ChatGPT为代表的生成式人工智能因其强大的内容生成与交互能力在促进学生个性化和自主学习方面展现出巨大潜力。本研究通过分析学生与ChatGPT的自发对话记录和进一步的深入访谈,探讨了学生与ChatGPT互动过程中发生的自主学习行为,以全面理解生成式人工智能在技术嵌入的学习环境中为学生提供的实质性支持,以及学生在自主学习过程中的新挑战、新问题和新期望。研究发现,尽管生成式人工智能在辅助自主学习的多个层面表现出显著优势,其效能的发挥仍然依赖于学生的前置知识、认知能力和元认知水平等学习准备性,其局限性和突破的关键均在于学习者本身。因此,随着对不断涌现和泛化的新技术“祛魅”,生成式人工智能驱动的教育技术工具更应以教学的能动性为出发点,切实促进人类主体与人工智能技术的双向协同互补。Generative artificial intelligence(GenAI),particularly exemplified by ChatGPT,has shown substantial promise in enhancing personalized and autonomous learning,attributed to its advanced content generation and interactive capabilities.This study investigates the self-regulated learning behaviors of undergraduates during their interactions with ChatGPT,drawing on an analysis of spontaneous conversational data and in-depth interviews.The research aims to elucidate the tangible support that GenAI provides within a computer-based learning environment.It also highlights the emerging challenges,issues,and expectations faced by students as they navigate these learning processes.The findings suggest that while GenAI offers significant advantages in facilitating autonomous learning across multiple dimensions,its effectiveness is contingent upon factors such as students prior knowledge,cognitive abilities,and metacognitive awareness,which influence their learning readiness for self-regulated learning.The limitations and potential for innovation in this context are fundamentally shaped by the learners themselves.As emerging technologies undergo a process of"disenchantment",it is essential that Al-driven educational tools prioritize pedagogical agency to effectively cultivate a dynamic,complementary relationship between human learners and AI systems.
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