Research on the Teaching Mode of Artificial Intelligence Course Based on CDIO Concept
Taking Open Source Hardware as an Example
- DOI
- 10.2991/978-94-6463-502-7_69How to use a DOI?
- Keywords
- Artificial Intelligence; CDIO; Open Source Hardware; Educational Research
- Abstract
The rapid development of the artificial intelligence era has had a profound impact on education, and the majority of experts and scholars are actively carrying out the exploration and practice of artificial intelligence courses at all levels from basic education to higher education. This study explores the model of teaching artificial intelligence in the classroom using the CDIO concept as a guide and open source hardware as an example. An in-depth interview survey of 27 secondary school IT teachers in City C was conducted to analyse the shortcomings of the current secondary school AI curriculum. A controlled experiment was conducted in the second year of secondary school Y. Students’ AI literacy was measured using the Artificial Intelligence Literacy Scale, and independent samples t-tests were conducted using SPSS. The experimental results proved that the teaching model of the AI course designed in the study made a significant contribution to improving students’ AI literacy.
- Copyright
- © 2024 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.
Cite this article
TY - CONF AU - Xiao Liu AU - Ling Luo AU - Fengmei Ren PY - 2024 DA - 2024/08/31 TI - Research on the Teaching Mode of Artificial Intelligence Course Based on CDIO Concept BT - Proceedings of the 2024 5th International Conference on Education, Knowledge and Information Management (ICEKIM 2024) PB - Atlantis Press SP - 655 EP - 663 SN - 2589-4900 UR - https://doi.org/10.2991/978-94-6463-502-7_69 DO - 10.2991/978-94-6463-502-7_69 ID - Liu2024 ER -