Artificial Intelligence Literacy Education for Vocational Colleges: A Blended Teaching Case Study
Authors
Hua Xie1, *
1Department of Computer Application Technology of the Urban Vocational College of Sichuan, Chengdu City, Sichuan Province, China
*Corresponding author.
Email: 1103434033@qq.com
Corresponding Author
Hua Xie
Available Online 21 February 2024.
- DOI
- 10.2991/978-2-38476-214-9_13How to use a DOI?
- Keywords
- Vocational education; Artificial Intelligence literacy; Generative Artificial Intelligence; Blended teaching
- Abstract
With the rapid development of generative Artificial Intelligence (AI), vocational college students will face significant challenges upon graduation, and collaborating with AI is becoming a crucial professional skill. This study provides a cross-cutting and hierarchical definition of AI literacy tailored for vocational colleges. Furthermore, using an AI class as an example, the study formulates teaching goals and designs corresponding course content. The case also demonstrates the effective use of blended teaching methods to gradually guide students in mastering the thinking habits and communication methods essential for working with AI.
- 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 - Hua Xie PY - 2024 DA - 2024/02/21 TI - Artificial Intelligence Literacy Education for Vocational Colleges: A Blended Teaching Case Study BT - Proceedings of the 3rd International Conference on Education, Language and Art (ICELA 2023) PB - Atlantis Press SP - 93 EP - 101 SN - 2352-5398 UR - https://doi.org/10.2991/978-2-38476-214-9_13 DO - 10.2991/978-2-38476-214-9_13 ID - Xie2024 ER -