Preparing Pre-Service and In-Service Teachers for the AI-Driven Classroom

Lucas Kohnke; Curtis Green-Eneix

doi:10.4324/9781032688602-15

Preparing Pre-Service and In-Service Teachers for the AI-Driven Classroom

Research output: Chapter in Book/Conference proceeding › Book Chapter › peer-review

Abstract

This chapter explores how generative artificial intelligence (GenAI) can be integrated into teacher education, emphasizing its potential to enhance the pedagogical skills of pre-service and in-service teachers. By reviewing recent literature and research, we identify effective strategies for incorporating AI tools into educational practices. The chapter discusses the importance of AI literacy and critical reflection in addressing the challenges of multilingual classrooms. It also provides practical recommendations for professional development programs that give teachers the competencies they need to leverage the capabilities of AI and thrive in the modern educational landscape.

Original language	English
Title of host publication	Teaching and Learning in the Age of Generative AI
Subtitle of host publication	Evidence-Based Approaches to Pedagogy, Ethics, and Beyond
Publisher	Taylor and Francis
Pages	235-252
Number of pages	18
ISBN (Electronic)	9781040335543
ISBN (Print)	9781032688596
DOIs	https://doi.org/10.4324/9781032688602-15
Publication status	Published - 1 Jan 2025
Externally published	Yes

ASJC Scopus subject areas

General Social Sciences
General Computer Science

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10.4324/9781032688602-15

Cite this

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Preparing Pre-Service and In-Service Teachers for the AI-Driven Classroom

Abstract

ASJC Scopus subject areas

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