IRMA-International.org: Creator of Knowledge
Information Resources Management Association
Advancing the Concepts & Practices of Information Resources Management in Modern Organizations

Teaching the Past With the Future: AI-Supported Lesson Design for Pre-Service History Teachers

Teaching the Past With the Future: AI-Supported Lesson Design for Pre-Service History Teachers
View Sample PDF
Author(s): Ayşegül Nihan Erol Şahin (Gazi University, Turkey)
Copyright: 2025
Pages: 32
Source title: AI Use in Social Sciences
Source Author(s)/Editor(s): Aytekin Demircioğlu (Kastamonu University, Turkey)
DOI: 10.4018/979-8-3373-2612-2.ch008

Purchase

View Teaching the Past With the Future: AI-Supported Lesson Design for Pre-Service History Teachers on the publisher's website for pricing and purchasing information.

Abstract

This chapter explores the integration of generative artificial intelligence (GenAI) tools into history education, focusing on a pedagogical module developed for pre-service teachers at a public university in Turkey. It examines how GenAI can enhance teaching practices by supporting lesson planning, creating differentiated assessments, and fostering historical thinking through interactive simulations and content generation. The chapter outlines the design and implementation of a four-session teaching module, highlights participants' reflections, and discusses the potential of AI-supported educational platforms like ChatGPT, Diffit, Humy.ai, and Canva AI. It also presents empirical findings from qualitative feedback and analyzes concerns related to ethics, data privacy, accessibility, and critical thinking. The study concludes with practical recommendations for teacher educators and policymakers, emphasizing the need for inclusive access, ethical integration, and ongoing professional development to effectively embed GenAI in history classrooms.

Related Content

Frederic Andres. © 2027. 14 pages.
Kalsoom Safdar, Khairul Najmy Abdul Rani, Mohd Aminudin Jamlos, Siti Julia Rosli, Muhammad Usman Younus, Zanab Safdar. © 2027. 27 pages.
Bani Adam, Binastya Anggara Sekti, Muhammad Adi Zacky Zahran. © 2027. 24 pages.
Swetha Margaret T. A., Renuka Devi D.. © 2027. 31 pages.
Maurice Saluschke, Michael Schulz. © 2027. 30 pages.
Mirjam Sepesy Maučec, Gregor Donaj. © 2027. 16 pages.
Jorge A. Ruiz-Vanoye, Ocotlan Diaz-Parra, Ricardo A. Barrera-Cámara, Alejandro Fuentes-Penna, Francisco R. Trejo-Macotela, Jaime Aguilar-Ortiz, Eric Simancas-Acevedo. © 2027. 21 pages.
Body Bottom