AI4ALL: AI Education for K-12

EasyChair Preprint 9099

Abstract

This paper focuses on the development and use of resources to support K-12 education in Artificial Intelligence (AI). The author and his team has more than three years of experience coaching students from pre-college level age from 15 to 18. This paper is a culmination of the experience and proposed online tools, software demos, and structured activities for high school students. The paper also address a portfolio of AI concepts as well as the expected learning outcomes. All resources are provided with online videos and Github repositories for immediate use.

Keyphrases: Early ML and AI Education, K-12 Data Science/Machine Learning/AI Education, Pre-college level AI education

@booklet{EasyChair:9099,
  author    = {Yiqiao Yin},
  title     = {AI4ALL: AI Education for K-12},
  howpublished = {EasyChair Preprint 9099},
  year      = {EasyChair, 2022}}