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从ChatGPT到Sora:生成式人工智能如何重塑深度学习场景

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生成式人工智能的快速发展正在重塑人类的生产、生活和学习方式.ChatGPT和Sora作为生成式人工智能的典型代表,分别在文本生成和视频制作领域取得了重大突破.这些进步不仅推动了可视化、沉浸式和高度交互式学习环境的发展,也为探索人机双向知识建构下的深度学习路径奠定了坚实的技术基础.人机双向知识建构下的深度学习路径由四个递进且循环的认知阶段组成:激活感知、知识建构、知识迁移和知识创新,涵盖了深度学习的12个具体环节.研究在知识创新阶段引入SEC1知识创新扩展模型,将生成式人工智能技术有机融入学习的每一个环节,构建了生成式人工智能重塑的深度学习模型,并基于此模型搭建更加丰富多元的学习场景.为了进一步提升整合效果,提出独立增强型、综合集成型和定制化模型三种策略.这些策略旨在帮助学生实现知识的深入理解、迁移内化和创造,培养高阶思维能力.
From ChatGPT to Sora:How Generative Artificial Intelligence Is Reshaping Deep Learning Scenarios
The rapid advancement of generative artificial intelligence(GAI)is reshaping production,daily life,and learning.Exemplified by ChatGPT and Sora,GAI has achieved transformative breakthroughs in text generation and video synthesis,respective-ly.These advancements not only accelerate the development of visualized,immersive,and highly interactive learning environments but also establish a robust technological foundation for deep learning through human-AI knowledge co-construction.The proposed deep learning pathway comprises four progressive and iterative cognitive stages,including perception activation,knowledge construction,knowledge transfer,and knowledge innovation,which collectively encompass twelve specific processes.At the knowledge innovation stage,the SECI model of knowledge creation is adopted to integrate GAI seamlessly into every phase of the learning process.This in-tegration results in a GAI-empowered deep learning model that supports the design of diverse and enriched learning scenarios.To en-hance the effectiveness of GAI integration,three strategic approaches are proposed:independent enhancement,integrated synthesis,and customized modeling.These approaches aim to facilitate deep conceptual understanding,enable knowledge internalization and transfer,foster creative problem-solving,and cultivate students'higher-order thinking skills.

ChatGPTSoraGenerative artificial intelligenceDeep learningEducation scenarios

曾明星、廖柏林、覃遵跃

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吉首大学计算机科学与工程学院(湖南吉首416000)

吉首大学教师教育学院(湖南吉首416000)

ChatGPT Sora 生成式人工智能 深度学习 教育场景

2024

远程教育杂志
浙江广播电视大学

远程教育杂志

CSSCI北大核心
影响因子:11.03
ISSN:1672-0008
年,卷(期):2024.42(6)