致力于知识迁移的深度学习探究

Research on Deep Learning Dedicated to Knowledge Transfer

目前,深度学习和知识迁移已成为教育研究领域的热点议题,但关于深度学习与知识迁移之间关系的研究成果很少。为探究致力于知识迁移的深度学习,文章首先从多个角度,分析了互联网对知识迁移的阻隔;接着,文章详细梳理了知识迁移的内在逻辑:学习者必须在联结大脑与信息的基础上,通过理解性学习、激活记忆中的知识、反思与批判性思维、提取与应用知识,最终才能顺利地实现知识迁移;然后,文章阐释了深度学习与知识迁移之间的关系;最后,文章以深度学习与知识迁移之间的指向关系为依据,深刻剖析了致力于知识迁移的深度学习的路径。探究致力于知识迁移的深度学习,可以推动深度学习和知识迁移的进一步融合,并为互联网学习环境下的深度学习研究提供理论参考。

At present, deep learning and knowledge transfer have become hot topics in the field of educational research.However, there were few research achievements about the relationship between deep learning and knowledge transfer.In order to explore the deep learning dedicated to knowledge transfer, this paper first analyzed the Internet’s barriers to knowledge transfer from multiple perspectives. Then, the internal logic of knowledge transfer was combed in detail:based on the connection between brain and information, learners could successfully achieve knowledge transfer through comprehensive learning, activating knowledge in memory, reflective and critical thinking, extracting and applying knowledge. Then, the relationship between deep learning and knowledge transfer was explained. Finally, based on the pointing relationship between deep learning and knowledge transfer, the path of deep learning dedicated to knowledge transfer was deeply analyzed. Exploring the deep learning dedicated to knowledge transfer could promote further integration of deep learning and knowledge transfer, and provide theoretical reference for the deep learning research under Internet learning environment.