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.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
References
Zha, J.: On CDIO model under “learning by doing” strategy. Res. High. Educ. Eng. (2008)
Cao, X.: Analysis of practical MOOC based on CDIO concept: taking “game design and development” course as an example. Ind. Inf. Technol. Educ. (7), 12–17 (2017)
Edström, K., Kolmos, A.: PBL and CDIO: complementary models for engineering education development. Eur. J. Eng. Educ. 39(5), 539–555 (2014)
Liu, X.: General senior secondary information technology curriculum standards (2017 edition) overview. China Inf. Technol. Educ. (5), 4–6 (2018)
The first “Artificial Intelligence Foundation (High School Edition)” textbook release. https://new.qq.com/omn/20180503/20180503F11JV1.html. Accessed 13 Mar 2019
Stephenson, C., Cooper, S., Boucher Owens, B., et al.: The new CSTA K-12 computer science standards. In: ACM Conference on Innovation & Technology in Computer Science Education (2011)
Conlon, T.: Computing and information systems. In: Scottish Education (2nd Edition). Edinburgh University Press, Edinburgh (2003)
Chen, K., He, Y., Zhong, G.: The transformation of information literacy connotation in artificial intelligence (AI) perspective and target positioning of artificial intelligence (AI) education: also on the implementation path of artificial intelligence course and teaching in basic education. J. Distance Educ. 36(1), 61–71 (2018)
Wang, X., Zhou, Z.: The research of situational teaching mode of programming in high school with scratch. In: Information Technology and Artificial Intelligence Conference, pp. 488–492. IEEE (2011)
Ikeda, T., Hsu, M.Y., Imai, H., et al.: A fast algorithm for finding better routes by AI search techniques. In: Vehicle Navigation & Information Systems Conference (2002)
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).
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2020 Springer Nature Switzerland AG
About this paper
Cite this paper
Pan, M., Wu, B., Zhang, Y. (2020). Curriculum Design of AI Experimental Course Based on CDIO Model. In: Liu, Y., Wang, L., Zhao, L., Yu, Z. (eds) Advances in Natural Computation, Fuzzy Systems and Knowledge Discovery. ICNC-FSKD 2019. Advances in Intelligent Systems and Computing, vol 1075. Springer, Cham. https://doi.org/10.1007/978-3-030-32591-6_56
Download citation
DOI: https://doi.org/10.1007/978-3-030-32591-6_56
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-32590-9
Online ISBN: 978-3-030-32591-6
eBook Packages: Intelligent Technologies and RoboticsIntelligent Technologies and Robotics (R0)