The main goal of the study was to develop a model for designing AI education curricula for K-12 schools by integrating the four curriculum approaches: content, product, process, and praxis.

Methods: The study employed a qualitative research method, collecting data through interviews with 24 teachers from 12 K-12 schools, teaching documents, and meeting minutes. A thematic analysis was conducted to identify key components of AI curriculum design.

Key Findings:

• The study identified six key components for AI curriculum design: AI knowledge, AI processes, the impact of AI, student relevance, teacher-student communication, and flexibility.
• Teachers highlighted the need for content that includes AI knowledge, processes, and societal impacts, as well as the importance of ethical considerations.
• Effective AI education requires authentic learning experiences and consistent terminology to facilitate understanding.

Implications: The findings contribute to the field of AI in education by providing a comprehensive framework for designing AI curricula that can be adapted to various educational contexts and student needs, promoting a more inclusive and effective AI education.

Limitations: The study's model has not been field-tested, and data collection was limited to teacher perspectives and teaching materials, which may not fully capture student and societal viewpoints.

Future Directions: Future research should involve testing the proposed model in diverse educational settings and incorporating student and societal perspectives. Additionally, studies should explore the development of AI teacher training programs to enhance curriculum design and implementation.

Title and Authors: "A Holistic Approach to the Design of Artificial Intelligence (AI) Education for K-12 Schools" by Thomas K. F. Chiu.

Published On: August 12, 2021

Published By: Association for Educational Communications & Technology