Constructing an IoT Engineering Curriculum for Engineering Education Accreditation
- DOI
- 10.2991/978-2-38476-128-9_37How to use a DOI?
- Keywords
- Engineering Education Accreditation; Internet of Things Engineering program; Curriculum System
- Abstract
Starting from the requirements of engineering education accreditation for professional talent training, this paper analyzes the relationship between talent training objectives and curriculum system construction. Taking the IoT engineering major as an example, it develops graduation requirements and index points that cover the standards of engineering education accreditation, based on the targeted positioning of talent training objectives. A professional curriculum system and practical training curriculum system are constructed to support the achievement of graduation requirements based on the index points. Curriculum evaluation and continuous improvement are conducted to optimize course content and teaching methods, improve teaching quality, better meet the learning needs of students, and enhance the quality of talent training.
- 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 - Hong Wang AU - Xiuming Yue AU - Wenhua Zhang PY - 2023 DA - 2023/10/15 TI - Constructing an IoT Engineering Curriculum for Engineering Education Accreditation BT - Proceedings of the 2023 3rd International Conference on Modern Educational Technology and Social Sciences (ICMETSS 2023) PB - Atlantis Press SP - 312 EP - 318 SN - 2352-5398 UR - https://doi.org/10.2991/978-2-38476-128-9_37 DO - 10.2991/978-2-38476-128-9_37 ID - Wang2023 ER -