Instructional Designs for AI Interdisciplinary Learning
Year: 2024
Type: book-chapter
Abstract: Artificial intelligence (AI) is often viewed as a computer science or engineering subject. Computer science teachers are expected to teach AI in K-12. However, AI is an interdisciplinary domain, and its education through an interdisciplinary approach is a logical and inherent choice. Moreover, an interdisciplinary approach better develops essential skills for students. In this chapter, we present an operational interdisciplinary framework to describe how to engage various subjects in teaching AI, and a three-level cognitive relationship that elucidates various literacies in relation to AI literacy. The operational framework consists of four main components: AI knowledge, AI processes, AI impact, and a human-centered mindset, while the cognitive relationship describes how digital, mathematical, and computational literacy relate to AI literacy. Moreover, we present three effective strategies: classification and generalization skills, unpacking models, and alternative intelligence to support interdisciplinary teaching. We hope our suggestions can inspire you to design interdisciplinary learning using AI, preparing students to address real-world problems and flourish in a number of disciplines.
Source: Routledge eBooks
Author: Thomas K. F. Chiu
Language: English
Subfield: Education
Field: Social Sciences
Domain: Social Sciences
SDG: Quality education
Open Access status: green
OpenAlex ID: W4405075196