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大模型技术的突破性发展为教育数字化转型注入新动能,推动各类教育资源形态与功能加速迈向智能化。在这一进程中,智能教材作为数字教材的高阶形态,被视为落实大规模因材施教的重要抓手,其理论建构与实践创新已成为教育领域亟待回应的核心课题。该研究旨在系统梳理智能教材的内涵演进历程,进而前瞻其功能设计与技术实现路径,以期为我国智能教材的研发与应用提供理论参考与实践借鉴。纵观智能教材内涵演进,包含智能工程、智能链接、智能抽取、智能挖掘、智能生成五个发展阶段,功能定位逐步从“知识传递载体”发展为“认知合作伙伴”。鉴于此,该研究从科学教材观视角出发,构建了大模型支持下的智能教材功能模型,设计了基于多Agent系统的智能教材技术架构,通过信息技术课程智能教材的开发与应用验证了功能模型和技术架构的可行性。
Abstract：The breakthrough development of large model technology has injected new momentum into the digital transformation of education, accelerating the intelligence of educational resources in both form and function. In this process, intelligent textbooks, as an advanced form of digital textbooks, are widely regarded as a crucial means for realizing large-scale personalized education. Their theoretical construction and practical innovation have become core issues that the education field must urgently address. This study aims to systematically review the evolutionary trajectory of intelligent textbooks' connotations, and further explore their functional design and technical implementation paths, with the expectation of providing theoretical guidance and practical reference for the research and application of intelligent textbooks in China. The evolution of intelligent textbook connotations includes five stages: intelligent engineering, intelligent linking, intelligent extraction, intelligent mining, and intelligent generation, with their positioning gradually shifting from being a “ knowledge transmission medium” to a “ cognitive partner.” In light of this, from the perspective of a scientific textbook view, this study constructs a functional model of intelligent textbooks supported by large models, proposes a technical architecture based on multi-agent systems, and verifies the feasibility of the new technical solution through the development and application of an intelligent textbook for information technology.
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基本信息:
中图分类号:G436
引用信息:
[1]程亮,李锋,刘曦遥.大模型时代下智能教材的内涵演进、功能设计与技术实现[J].中国电化教育,2026,No.470(03):29-37.
基金信息:
人民教育出版社“十四五”规划2023年度重点课题“素养导向的信息科技生成式学习手册研制及创新应用”(课题编号:2023GHB02)研究成果