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教育大模型应用现状、技术挑战及路径探析展望
The Current Progress, Technical Challenges and Future Prospects of Educational Large Models
【摘要】 以DeepSeek为代表的大模型正在重塑教育生态系统,其在多场景、多用途和跨学科任务处理中的卓越能力,推动了知识生产方式、教育教学模式和未来学习形态的智能化转型。尽管教育大模型为教育领域带来了前所未有的机遇,但在实际应用中,它仍面临场景适配、数据采集、逻辑推理、资源生成和价值对齐等诸多挑战。本文综合分析了国内外20个典型教育大模型的功能特点,聚焦其价值体现、应用场景和底座构建,深入探讨了教育大模型的潜在技术实施路径,旨在为教育大模型的开发与应用提供创新思路,并为教育实践者提供实施框架,以促进教育大模型的有效应用和加快其发展。
【Abstract】 Large models represented by DeepSeek are reshaping the educational ecosystem. Their outstanding capabilities in handling multi-scenario, multi-purpose and interdisciplinary tasks are driving the intelligent transformation of knowledge production methods, teaching models, and learning paradigms. Although educational large models have brought unprecedented opportunities to education, their practical application still faces numerous challenges, including scenario adaptation, data collection, logical reasoning, resource generation, and value alignment. This paper provides a comprehensive analysis of the functional characteristics of 20 representative educational large models at home and abroad, with a focus on their value manifestation, application scenarios and foundational architecture. It also explores potential construction methods of educational large models. The aim of this study is to offer innovative ideas for the development and application of educational large models, and to provide an implementation framework for educational practitioners.
【Key words】 Educational Large Model; Artificial Intelligence in Education; Generative Artificial Intelligence; Smart Education;
- 【文献出处】 教师教育论坛 ,Teacher Education Forum , 编辑部邮箱 ,2025年02期
- 【分类号】G434
- 【下载频次】77