Use of Generative AI in Writing Lesson Plans: The Case of English Pre-Service Teachers

The study investigates the viewpoints of English pre-service teachers on the integration of generative artificial intelligence (AI) in lesson plan development. Employing a qualitative case study design, five purposively selected pre-service teachers participated in in-depth interviews guided by a researcher-developed protocol. The study aimed to uncover the perceived strengths, weaknesses, opportunities, and challenges (SWOC) associated with using generative AI tools in the context of lesson planning. Findings revealed that participants appreciated AI’s ability to streamline the planning process by offering quick access to information, generating clear objectives, and suggesting creative and engaging activities. However, concerns were raised regarding the accuracy and relevance of AI-generated content, overreliance on technology, and reduced opportunities for pedagogical reflection. Opportunities identified included enhanced creativity, time efficiency, and the potential for interactive and adaptive lesson components. Conversely, challenges such as limited access to AI tools, the need for content refinement, and contextual misalignment were noted. The findings were used towards a proposed protocol for the ethical and effective integration of generative AI in lesson planning.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-07-04
DOI
https://doi.org/10.5281/zenodo.15804986
Primary Topic
Artificial Intelligence in Healthcare and Education
Type
article
Field-Weighted Citation Impact
0.00
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article

Use of Generative AI in Writing Lesson Plans: The Case of English Pre-Service Teachers

Zenodo (CERN European Organization for Nuclear Research)
Artificial Intelligence in Healthcare and Education
article

Use of Generative AI in Writing Lesson Plans: The Case of English Pre-Service Teachers

article en

Abstract

The study investigates the viewpoints of English pre-service teachers on the integration of generative artificial intelligence (AI) in lesson plan development. Employing a qualitative case study design, five purposively selected pre-service teachers participated in in-depth interviews guided by a researcher-developed protocol. The study aimed to uncover the perceived strengths, weaknesses, opportunities, and challenges (SWOC) associated with using generative AI tools in the context of lesson planning. Findings revealed that participants appreciated AI’s ability to streamline the planning process by offering quick access to information, generating clear objectives, and suggesting creative and engaging activities. However, concerns were raised regarding the accuracy and relevance of AI-generated content, overreliance on technology, and reduced opportunities for pedagogical reflection. Opportunities identified included enhanced creativity, time efficiency, and the potential for interactive and adaptive lesson components. Conversely, challenges such as limited access to AI tools, the need for content refinement, and contextual misalignment were noted. The findings were used towards a proposed protocol for the ethical and effective integration of generative AI in lesson planning.

Zenodo (CERN European Organization for Nuclear Research)
Universidad San Pablo (MX)
Quality Education
Openalex Percentile: Top 62%
Artificial Intelligence in Healthcare and Education
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Use of Generative AI in Writing Lesson Plans: The Case of English Pre-Service Teachers · Zenodo (CERN European Organization for Nuclear Research) (2025) | TGRS Research Map | TGRS