【作 者】：
陈德鑫， 占袁圆， 杨 兵
【关 键 词 】：
深度学习； 教育大数据； 学习追踪； 教学辅助； 学习行为
【栏 目】：
学习环境与资源
【中文摘要】：
随着全球人工智能与教育大数据峰会的召开，多国学者探讨了教育变革的新趋势，印证了技术与教育深度融合会带来更多的机遇和挑战。其中，深度学习作为AI领域的热点问题，将成为教育发展的关键。文章通过对相关研究进行筛选统计研究，辨析不同领域深度学习的概念并简要分析典型的深度学习模型及其应用领域；以教育大数据挖掘的特点为基础，总结基于深度学习的教育大数据挖掘目的和流程；系统探讨深度学习在教育大数据挖掘领域的四个应用研究方向和主要应用机构；最后，明确了教育大数据挖掘领域引入深度学习的重要意义，同时，针对教育大数据挖掘所服务的对象和需要解决的问题，提出了深度学习技术在教育大数据挖掘领域进一步发展的意见。
【英文摘要】：
With the convening of the global artificial intelligence and education big data summit, scholars from different countries have discussed the new trend of educational reform, confirming that the deep integration of technology and education will bring more opportunities and challenges. Among them, deep learning, as a hot issue in the field of AI, will become the key to the development of education. After screening related studies, this paper distinguishes the concepts of deep learning in different fields and analyzes the typical deep learning models and their application fields. Based on the characteristics of educational big data mining, this paper summarizes the purpose and process of educational big data mining based on deep learning. Then, four research directions and main application institutions of deep learning in educational big data mining are systematically discussed. Finally, the significance of deep learning in the field of educational big data mining is clarified. Meanwhile, in view of the objects served by educational big data mining and the problems to be solved, suggestions for further development of deep learning in educational big data mining are proposed.