Integrating Inquiry-Based Learning and Image Processing Technology Using AI in High School STEM Education

This paper explores the integration of Inquiry-Based Learning (IBL) with image

processing technology and Artificial Intelligence (AI) in high school STEM education. Given

the increasing influence of AI across various sectors and the necessity to prepare students for

future technological landscapes, this approach aims to bridge the current educational gap. By

introducing a phased curriculum that progresses from basic coding and AI concepts to advanced

applications and independent research, the framework fosters critical thinking, problem-solving,

and innovation skills among high school students. The curriculum leverages generative AI to

enhance learning at each phase, providing real-time feedback and personalised support. A pilot

project with student feedback highlights the effectiveness of this method in making AI concepts

accessible and engaging. The practical applications of AI in fields such as healthcare

demonstrate the relevance and impact of these technologies in real-world scenarios. This

integrated approach not only prepares students for potential STEM careers but also inspires

them to apply AI concepts creatively and practically. By bridging the gap between technological

advancements and high school education, this framework equips students with the skills and

knowledge necessary for future scientific and engineering careers.