New Thoughts on the Course Teaching of Computer Specialty Under the Background of Big Data

被引:0
|
作者
Zhang Xingyun [1 ]
机构
[1] Hubei Business Coll, Sch Artificial Intelligence, 634 Xiongchu Rd, Wuhan, Hubei, Peoples R China
关键词
D O I
10.1007/978-981-33-6141-6_23
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
This article analyzes the current problems in the teaching of computer majors in the era of big data and proposes that teachers should change their teaching methods. Teachers should implement personalized teaching reforms with the help of student learning resource data and combine teaching with big data massive teaching resources. To improve teaching methods, guide students to independently formulate learning programs based on their own knowledge of knowledge, promote students' autonomous learning ability, and achieve the goal of improving teaching quality. Colleagues suggested that teaching in the era of big data needs to strengthen the construction of resource platforms as a strong support. In the era of big data with the rapid development of the Internet, its knowledge and technology are rapidly updated. Computer technology is particularly prominent. Under this situation, the computer professional courses of various universities have not kept pace with the times. Similarly, computer graduates The actual hands-on ability has not reached the current requirements of social enterprises in the era of big data, and it has become increasingly significant. In order to cultivate talents that meet the needs of society and keep up with the pace of the big data era, some new thoughts are put forward to the teaching of computer courses.
引用
收藏
页码:225 / 228
页数:4
相关论文
共 50 条