Conceptual Framework for the Integration of Artificial Intelligence in Inquiry-Based Biology Learning in Secondary Schools
DOI:
https://doi.org/10.70148/rise.v3i5.9Keywords:
Artificial Intelligence (AI), Biology Education, Inquiry-based Learning, Abstract Concepts, Fact-CheckingAbstract
This conceptual paper explores strategic ways to effectively integrate Artificial Intelligence (AI) technology into biology teaching and learning processes, specifically to help students address the challenges of understanding scientific concepts that are microscopic and abstract The thematic analysis of the selected literature identified, this study examines how modern AI tools and personalized learning systems can function as cognitive assistants and catalysts that stimulate deep critical thinking among students. The findings reveal that the integration of this technology demands a holistic and balanced learning ecosystem. This environment combines the role of teachers as facilitators guiding ethical use, students as active researchers evaluating information critically, and technology as a provider of dynamic visual simulations. Through the display of interactive images, models, and biological process simulations, students are better equipped to visualize living structures more easily and effectively. However, this paper places strong emphasis on the importance of continuous fact-checking practices to mitigate the risks of misinformation, bias, or fabrications generated by digital systems. In conclusion, this study highlights the urgent need for a well-planned instructional framework. This step is vital to ensure that synergistic collaboration between humans and machines can strengthen students' scientific literacy, fully aligning with the aspirations of the Kurikulum Standard Sekolah Menengah (KSSM) and national digital literacy guidelines.
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