Towards Designing AI-Enhanced Lesson Structure in Grade 9 Science
Authors
College of Education, Mindanao State University – Iligan Institute of Technology Iligan, Philippines (Philippines)
College of Education, Mindanao State University – Iligan Institute of Technology Iligan, Philippines (Philippines)
College of Education, Mindanao State University – Iligan Institute of Technology Iligan, Philippines (Philippines)
College of Education, Mindanao State University – Iligan Institute of Technology Iligan, Philippines (Philippines)
College of Education, Mindanao State University – Iligan Institute of Technology Iligan, Philippines (Philippines)
Article Information
DOI: 10.47772/IJRISS.2026.100600853
Subject Category: Computer Science
Volume/Issue: 10/6 | Page No: 12187-12196
Publication Timeline
Submitted: 2026-06-17
Accepted: 2026-06-22
Published: 2026-07-07
Abstract
This study explores the need for designing an artificial intelligence (AI)-embedded lesson structure in Grade 9 science education, with a focus on integrating sustainability concepts in response to the demands of Education 4.0. Grounded in the context of the Industrial Revolution 4.0, the research investigates learners’, and science teachers’ readiness, perceptions, and needs regarding AI and sustainability integration in science instruction. Using a descriptive mixed-methods research design, data were collected through a researcher-developed needs assessment survey administered to 48 Grade 9 learners and 7 science teachers in a public secondary school. Quantitative data were analyzed using descriptive statistics, while qualitative responses were examined through thematic analysis. Findings reveal that learners demonstrate high familiarity with AI tools and show strong interest in using AI for solving scientific and community-related problems. However, their understanding of the connection between science concepts and sustainability remains limited. Teachers exhibit willingness to integrate AI into instruction but face significant barriers, including lack of access to devices, unstable internet connectivity, and insufficient pedagogical support. Triangulation of data indicates that while awareness and motivation among stakeholders are evident, institutional capacity and instructional design support remain key challenges. The study concludes that effective integration of AI in science education requires not only technological access but also structured lesson designs that explicitly connect AI tools, scientific concepts, and sustainability issues. It highlights the importance of addressing infrastructure gaps and enhancing teacher competencies to support meaningful AI integration. The findings provide a basis for developing an AI-embedded lesson framework that promotes critical thinking, problem-solving, and real-world application of science learning aligned with sustainable development goals
Keywords
Artificial Intelligence in Education; Science Education; Sustainability; AI-Embedded Lessons
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References
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