Authoring Academic Resources for Science Education With a Generative AI Tool
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.
Fields of Study & Subjects
Mathematics
Computing
and Information Processing
Intelligent Tutoring Systems and Adaptive Learning
Educational Assessment and Pedagogy
Publication details
- Journal / source
- Advances in computational intelligence and robotics book series
- Pages
- 207–246
- Publication date
- 9 January 2026
- Document type
- Book chapter