Automatic Lesson Plan Generator on Technology Based on LLMs

• Maria Luiza Laranjeira C.E.S.A.R School
• Pamela T. L. Bezerra C.E.S.A.R School

DOI: https://doi.org/10.5753/wei.2025.8305

Abstract

This research addresses the challenges of introducing computing into Brazilian public elementary education, particularly in the face of a shortage of qualified teachers and limited technological resources. To this end, we propose a generative artificial intelligence (AI) solution designed to assist public school teachers in creating lesson plans focused on computational thinking and technology. We developed a web-based system that automatically generates adaptable lesson plans through an intuitive interface, allowing educators from any subject area to create customized plans aligned with the BNCC by simply providing basic information such as grade level, class duration, and the subject for interdisciplinarity. Tests conducted with educators demonstrated the system’s usability and effectiveness, with positive feedback highlighting its ease of use and support for interdisciplinary planning. This research contributes to the broader discussion on AI in education, showcasing the potential of large language models (LLMs) in supporting teaching and learning.

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