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Authoring Academic Resources for Science Education With a Generative AI Tool
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Author(s): María Lucía Barrón-Estrada (Tecnológico Nacional de México, Mexico & Instituto Tecnológico de Culiacán, Mexico), Ramón Zatarain-Cabada (Tecnológico Nacional de México, Mexico & Instituto Tecnológico de Culiacán, Mexico), Víctor Manuel Bátiz-Beltrán (Tecnológico Nacional de México, Mexico & Instituto Tecnológico de Culiacán, Mexico)and Aldo Uriarte-Portillo (Tecnológico Nacional de México, Mexico & Instituto Tecnológico de Culiacán, Mexico)
Copyright: 2026
Pages: 40
Source title:
Harnessing Generative Artificial Intelligence for Science Education
Source Author(s)/Editor(s): Michail Kalogiannakis (University of Thessaly, Greece)and Dimitrios Sotiropoulos (University of Thessaly, Greece)
DOI: 10.4018/979-8-3373-2913-0.ch007
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Abstract
This book chapter introduces an LLM-powered educational tool for building science learning environments using a fully cloud-based platform. The tool is an educational platform driven by LLM that attempts to save teachers time by automatized processes like lesson planning, grading, and resource generation. Using this platform, educators can modify and update pre-existing materials to fit the needs of any reader, produce unique science-related resources, and edit and distribute these materials to students. Any student can access instructional materials generated with the authoring tool interface through an internet-connected device. The tool accomplishes this by combining several technologies, including frameworks and tools like Ollama, JavaScript, and open-source LLMs like LLaMA 3, DeepSeek, Qwen2, and Gemma 2.
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