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Curriculum Design of AI Experimental Course Based on CDIO Model

  • Meng Pan
  • Bizhu Wu
  • Yonghe ZhangEmail author
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 1075)

Abstract

Artificial intelligence education has received great attention, and it is one of the current research hotspots. In many artificial intelligence algorithms, search algorithm is a basis in the field of artificial intelligent. In particular, it is widely used in the field of knowledge discovery. In this paper, we use the CDIO approach to design an AI Experimental course on search algorithms and implement this course. In the implementation process, we teach students how to apply search strategies in robot tasks through the CDIO theory framework. Feedback from students participating in the experimental course shows that this method has a good application promising.

Keywords

AI education CDIO model Curriculum design Search algorithm 

Notes

Acknowledgement

This work is supported by two funding: the 13th Five-Year Plan of Education Science in Guangdong Province in 2017 (Contextual Moral Education Game Oriented to Collaborative Construction and Its Application, No. 2017JKDY43) and the Guangdong Postgraduate Education Innovation Project in 2018 (New Media and New Technologies in eLearning).

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Copyright information

© Springer Nature Switzerland AG 2020

Authors and Affiliations

  1. 1.Shenzhen UniversityShenzhenChina

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