远程教育杂志2025，Vol.43Issue(5)：55-66,12.DOI:10.15881/j.cnki.cn33-1304/g4.2025.05.006
生成式人工智能何以促进高阶思维能力培养?
How Generative Artificial Intelligence Facilitates the Cultivation of Learners' Higher-Order Thinking Skills—A Systematic Review of 68 Empirical Studies
摘要
Abstract
Understanding how generative artificial intelligence(GenAI)supports the development of learners'higher-order thinking skills(HOTS)is essential for planning talent development in the intelligent era and advancing the integrated reform of educa-tion,science,and technology.Following PRISMA guidelines,we conducted a systematic review of 68 empirical studies from domestic and international contexts that examined GenAI's effects on HOTS.Using an analytical framework comprising cultivation types,mod-els,and effects,we addressed three questions:which HOTS GenAI can foster,how they are cultivated,and with what outcomes.Re-sults showed that(a)the studies under review primarily targets six learning scenarios(e.g.,writing,programming,and oral communica-tion)across three platforms,with evidence that GenAI can foster seven categories of HOTS;(b)GenAI is commonly positioned as a teaching assistant or learning companion,yielding four human-AI collaborative learning models(including structured task-driven and open-ended inquiry activities),yet current work lacks endogenous theoretical grounding and coherent practical application;and(c)evidence on GenAI's impact on creative thinking is mixed,while well-defined human-AI collaboration patterns appear necessary,and usage duration functions as an important moderating factor.Based on these results,we recommend integrating advanced learning analytics to uncover mechanisms of HOTS development,designing generative human-AI collaborative teaching and learning models,and leveraging multimodal learning process data to trace the development of creative thinking.These recommendations provide evi-dence-based guidance for researchers and educators engaged in AI-enhanced pedagogical innovation.关键词
生成式人工智能/高阶思维能力/实证研究/系统性综述Key words
Generative artificial intelligence/Higher-order thinking skills/Empirical research/Systematic review分类
社会科学引用本文复制引用
刘明,郭烁,张微,王静贤..生成式人工智能何以促进高阶思维能力培养?[J].远程教育杂志,2025,43(5):55-66,12.基金项目
本文系2024年国家自然科学基金面上项目"知识增强大语言模型的科学课教学问题智能生成方法研究"(项目编号:62477039)、2024年重庆市研究生科研创新项目"生成式人工智能赋能大学生批判性学术阅读的机理与路径研究"(项目编号:CYB240081)阶段性研究成果. （项目编号:62477039）
