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From Prompt to Pedagogy: Comparing AI Platforms in Automated Lesson Plan Design
Keywords:
Lesson Planning, AI-Sssisted Lesson Design, Speaking Skills, Communicative Approach, TPACK Framework
Abstract:
The pervasiveness of digital technologies and the breakthrough of AI-generated content in numerous fields have significantly impacted education and teaching practices. AI platforms are increasingly being integrated into all segments of instructional design, delivery and assessment. This paper investigates the characteristics and quality of lesson plan designs generated by four AI platforms – ChatGPT, Gemini, Claude, and DeepSeek – by contrasting and comparing the solutions each provides. The aim of this study is to identify the possibilities AI platforms offer in creating English-speaking classes, with particular attention to pedagogical aspects underlying lesson planning processes. Since the quality of automated plan designs depends heavily on the formulation of prompts, this paper used an identical prompt for all models. Based on clearly defined evaluation criteria, a comparative analysis of four AI-generated lesson plans is conducted, highlighting their key similarities and differences. Ultimately, the paper emphasizes the pedagogical implications of utilizing AI platforms in the creation of English-speaking lesson plans and supports an informative and reflective teaching approach.
CITATION:
IEEE format
A. Tripković, V. Gavranović, “From Prompt to Pedagogy: Comparing AI Platforms in Automated Lesson Plan Design,” in Sinteza 2026 - International Scientific Conference on Information Technology, Computer Science, and Data Science, Belgrade, Singidunum University, Serbia, 2026, pp. 425-431. doi:10.15308/Sinteza-2026-425-431
APA format
Tripković, A., Gavranović, V. (2026). From Prompt to Pedagogy: Comparing AI Platforms in Automated Lesson Plan Design. Paper presented at Sinteza 2026 - International Scientific Conference on Information Technology, Computer Science, and Data Science. doi:10.15308/Sinteza-2026-425-431
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