Robot or Not? Uncovering the In-Service Teachers' Needs for AI Literacy Integration in Underserved Schools

• In Event: Integrating AI and Computational Thinking in Education: Exploring Teacher Perceptions, Needs, and Professional Development

Abstract

This study aims to uncover the in-service teachers' needs for AI professional development in underserved schools to bridge the AI gap. The AI gap refers to the uneven distribution of resources, support, and readiness to integrate AI in schools effectively and responsibly. In doing so, the study utilized qualitative methods of thematic code analysis to analyze teachers' voices and artifacts. Notably, teachers have indicated various needs to be AI literate, such as AI knowledge, skills, pedagogy, ethics, and mindset shift. Overall, this study is significant in developing effective teacher training to suit their needs and ensure responsible AI use in the classrooms.

Authors

• Samaa Haniya, Pepperdine University

• Reyna G. Garcia-Ramos, Pepperdine University