Date
Publisher
arXiv
Artificial intelligence (AI), which enables machines to learn to perform a task by training on diverse datasets, is one of the most revolutionary developments in scientific history. Although AI and especially deep learning is relatively new, it has already had transformative impact on medicine, biology, transportation, entertainment, and beyond. As AI changes our daily lives at an increasingly fast pace, we are challenged with preparing our society for an AI-driven future. To this end, a critical step is to ensure an AI-ready workforce through education. Advocates of beginning instruction of AI basics at the K-12 level typically note benefits to the workforce, economy, and national security. In this complementary perspective, we discuss why learning AI is beneficial for motivating students and promoting creative thinking, and how to develop a module-based approach that optimizes learning outcomes. We hope to excite and engage more members of the education community to join the effort to advance K-12 AI education in the USA and worldwide.
Study at a glance
- Question: Why should K-12 students learn artificial intelligence, and how can schools effectively teach it?
- Setting and data: Not stated in the abstract
- Method: Perspective paper
Why it matters
As AI changes daily lives at an increasingly fast pace, society is challenged with preparing for an AI-driven future. Ensuring an AI-ready workforce through K-12 education is a critical step to achieve this.
Key findings
- In K-12 education, learning artificial intelligence is beneficial for motivating students and promoting creative thinking.
- A module-based approach to artificial intelligence instruction optimizes student learning outcomes.
- Teaching artificial intelligence basics supports an AI-ready workforce, economic needs, and national security for an AI-driven future.
Summary drafted with AI from the paper’s abstract and may contain errors. See the full paper for details.
What is the application?
Who is the user?
Study design
