Research on the Teaching Reform of Graduate Information Retrieval Course in the Big Data Age
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DOI: 10.23977/EMSS2020038
Author(s)
Lei Huang, Aiqun Yu, Na Xu, Gang Liu
Corresponding Author
Lei Huang
ABSTRACT
This paper analyzes the influence of big data age on graduate information retrieval course. In view of the problems existing in the course, such as the lag of teaching content and the lack of close integration with graduate research, it puts forward the information retrieval course system framework based on graduate research activity flow in the big data age, and points out that the course should make full use of the new resources and technologies brought by big data age, and use of new thinking and new technology tools to solve the new generation of students with fragmentation, mobile, collaborative learning and other features of new problems, enabling students to learn for life.
KEYWORDS
Big data, information retrieval course, graduate education, lifelong learning