Design of the Experiment Teaching Model of Multi-mode Integrated Hardware Development with Arduino
- DOI
- 10.2991/978-94-6463-192-0_113How to use a DOI?
- Keywords
- Integration; hardware; Internet of Things; Experimental teaching
- Abstract
In terms of the hardware development training of applied talents in the field of Internet of Things, due to backward teaching methods and diverse motherboards and chips in experiment teaching, the experiment process is chaotic and practical development costs much time and energy. By introducing the experiment teaching architecture of multi-mode integrated hardware development with Arduino, the model of the common hardware development system is established, thus constructing innovative heterogeneous hardware environment integrated teaching model and mixed embedded hardware development programming teaching model, integrating experimental development teaching motherboards and chips. This paper also puts forward the experiment teaching steps of multi-mode integrated hardware development with Arduino, thus providing useful reference for the hardware experiment teaching of such majors as Internet of things.
- 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.
Cite this article
TY - CONF AU - Zidong Huang AU - Fanxue Pang AU - Xiang Pan PY - 2023 DA - 2023/07/04 TI - Design of the Experiment Teaching Model of Multi-mode Integrated Hardware Development with Arduino BT - Proceedings of the 2023 2nd International Conference on Educational Innovation and Multimedia Technology (EIMT 2023) PB - Atlantis Press SP - 868 EP - 874 SN - 2667-128X UR - https://doi.org/10.2991/978-94-6463-192-0_113 DO - 10.2991/978-94-6463-192-0_113 ID - Huang2023 ER -