摘要
当前人工智能已在各个领域取得突飞猛进的大发展,实现人工智能与教育的融合已成为目前高校教育创新中不可忽视的技术手段。探讨利用人工智能和大数据优势解决当前研究生培养遇到的困境,从建立知识图谱、突破时空约束、多样考评方式以及自适应学习等视角,提出研究生个性化教育的培养路径。
Nowadays,AI has made rapid progress in various fields. The integration of AI and education has become an indispensable technological means in the innovation of higher education. How to make use of the advantages of AI and big data to solve the current difficulties of graduate training? This paper proposes the training path of graduate personalization from the perspectives of establishing knowledge map,breaking through the constraints of time and space,diversified evaluation methods and adaptive learning.
作者
吴波
WU Bo(College of Applied Mathematics,Nanjing University of Finance and Economics,Nanjing 210023,China)
出处
《林区教学》
2019年第7期18-20,共3页
Teaching of Forestry Region
基金
南京财经大学学位与研究生教育课题“人工智能和大数据驱动下的研究生个性化教育”(Y18034)
南京财经大学校级教改课题“微积分精品课程建设的研究与实践”(JGY064)
