AI Education for K-12: A Survey

1Citations
Citations of this article
11Readers
Mendeley users who have this article in their library.
Get full text

Abstract

Artificial Intelligence (AI) is a foundational technology that is permeating every aspect of our daily lives. It is also profoundly transforming our workforce around the globe. It is critical to prepare future generations with basic knowledge of AI, not just through higher education, but beginning with childhood learning. There is a growing body of research into how students, especially K-12 students, construct an understanding of and engage with core ideas in the field, that can ground the design of learning experiences in evidence-based accounts of how youth learn AI concepts, how understanding progresses across concepts, or what concepts are most appropriate for what age-levels. On July 7, 2023, we held a workshop on AI Education for K-12 at the 24th International Conference on Artificial Intelligence in Education, in Tokyo, Japan, in a synchronous hybrid format, allowing both in-person and virtual contributions. The workshop brought together researchers in K-12 AI education to discuss the state-of-the-art and identify research gaps and future directions to bring evidence-based AI education in and out of the classrooms.

Cite

CITATION STYLE

APA

Wang, N., & Lester, J. (2023). AI Education for K-12: A Survey. In Communications in Computer and Information Science (Vol. 1831 CCIS, pp. 44–49). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-031-36336-8_6

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free