Exploring the Integration of Artificial Intelligence into Special Education Teacher Preparation through the TPACK Framework

Authors

DOI:

https://doi.org/10.33043/6zx26bb2

Keywords:

Artificial Intelligence, TPACK, Special Education, Teacher Preparation

Abstract

With the introduction of artificial intelligence (AI), specifically generative AI and large language models (e.g., ChatGPT, Google Gemini), into education, there is a conversation regarding what knowledge teachers still need and will need moving forward. In this article, we describe how AI can, and should, be aligned to the Technological Knowledge, Pedagogical Knowledge, and Content Knowledge (TPACK) framework, as a part of special education teacher preparation. Additionally, we explore the implications of AI on the TPACK framework, specifically how AI can be integrated within each of the three components, specific tools that support each aspect, and guiding questions that teacher-educators and pre-service teachers should be using when considering AI. We will provide teacher-educators with example activities they can use with their pre-service teachers to introduce AI and integrate its use within their curriculum, framed within the TPACK.

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Author Biographies

Samantha R. Goldman, University of Kansas

Samantha R. Goldman is a doctoral candidate in special education at the University of Kansas, where she specializes in instructional design, technology, and innovation. Her research focuses on leveraging existing, emerging, and innovative technologies with evidence-based practices and high-quality instruction to improve writing outcomes for students with disabilities/ struggling learners.

Adam Carreon, Georgia Southern University

Adam Carreon is an Assistant Professor of Special Education at Georgia Southern University, specializing in teaching, instructional design, technology, and innovation. Carreon’s research interests include using effective instructional and behavioral strategies, specifically emerging technologies (e.g., augmented reality, virtual reality, wearables, and immersive devices) for improving academic, adaptive, and behavioral outcomes for teachers of and students with disabilities.

Sean J. Smith, University of Kansas

Sean J. Smith is a Professor in the Department of Special Education at the University Kansas where he focuses on developing, researching, and implementing innovative solutions to meet the needs of struggling learners and their peers with disabilities. Guiding this work is application of the Universal Design for Learning framework in design and development as well as methods to implement to further support all learners.

Published

09/02/2024

How to Cite

Goldman, S., Carreon, A., & Smith, S. (2024). Exploring the Integration of Artificial Intelligence into Special Education Teacher Preparation through the TPACK Framework. Journal of Special Education Preparation, 4(2), 52–64. https://doi.org/10.33043/6zx26bb2

Issue

Section

Special Issue on Artificial Intelligence