从贾斯特罗错觉的验证到塞罕坝遥感图像的见证——AI 辅助生态图像量化分析

Abstract

Currently, there are significant issues in integrating ecology and AI education in primary and secondary schools. Students lack awareness of digital ecology and AI application skills, and the cultivation of quantitative analysis thinking is inadequate. This course integrates knowledge from psychology, ecology, computer science, and other disciplines, aiming to cultivate critical thinking, data analysis abilities, and innovative thinking, while stimulating students' interest and sense of responsibility for environmental protection. Through the verification of the Jastrow illusion and the analysis of remote sensing images of Saihanba, students master AI-assisted quantitative analysis skills. This course comprehensively enhances students' overall qualities and provides a new perspective for teaching and research, enriching interdisciplinary curriculum cases in schools.