Teaching and Reform of Pattern Recognition Course Under the Background of Artificial Intelligence

DOI

10.2991/978-2-38476-004-6_6How to use a DOI?

Keywords

Pattern recognition; Teaching reform; Hybrid teaching

Abstract

With the popularity of artificial intelligence technologies and concepts, pattern recognition courses have received widespread attention. The traditional pattern recognition course is full of teaching contents and less class time, students are not highly motivated, the teaching mode is single, and the teaching content is old and lacks the introduction of the latest research results. In this paper, we reform the course from three aspects: optimizing teaching contents, improving teaching mode, and motivating students to learn.

Copyright

© 2023 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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TY  - CONF
AU  - Duan Mei
PY  - 2023
DA  - 2023/03/01
TI  - Teaching and Reform of Pattern Recognition Course Under the Background of Artificial Intelligence
BT  - Proceedings of the 2nd International Conference on Education, Language and Art (ICELA 2022)
PB  - Atlantis Press
SP  - 38
EP  - 44
SN  - 2352-5398
UR  - https://doi.org/10.2991/978-2-38476-004-6_6
DO  - 10.2991/978-2-38476-004-6_6
ID  - Mei2023
ER  -