Innovations in AI Education for Adolescents: Perspectives and Strategies from Global Experts
- DOI
- 10.2991/978-2-38476-309-2_37How to use a DOI?
- Keywords
- artificial intelligence; teacher and student literacy enhancement; educational practices; ethical considerations; promoting fairness
- Abstract
The pervasive influence of artificial intelligence (AI) on global society is prompting significant advancements and transformations in education. Amidst both opportunities and challenges, the application of AI in education has garnered considerable attention from the international community. Experts from both domestic and international backgrounds engaged in comprehensive discussions regarding the use and challenges of AI-generated content (AIGC), the international comparative research on information technology education, innovations in AI education within basic education, existing challenges, and the assessment of large models for human-machine collaborative teaching. They presented strategies to address the current challenges of effectively utilizing AI while fostering critical thinking, rather than succumbing to uncritical acceptance.
- 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 - Xinran Wang PY - 2024 DA - 2024/12/09 TI - Innovations in AI Education for Adolescents: Perspectives and Strategies from Global Experts BT - Proceedings of the 2024 9th International Conference on Modern Management, Education and Social Sciences (MMET 2024) PB - Atlantis Press SP - 301 EP - 312 SN - 2352-5398 UR - https://doi.org/10.2991/978-2-38476-309-2_37 DO - 10.2991/978-2-38476-309-2_37 ID - Wang2024 ER -