This chapter investigates the integration of artificial intelligence (AI) tools into sustainability education within higher education, utilizing the Green Ambassadors in the Community program at Holon Institute of Technology (HIT) as a case study. The program employs AI technologies to create immersive and interactive learning experiences that enhance students’ comprehension of sustainability concepts. Through virtual simulations and data-driven scenarios, students can examine complex environmental challenges and devise innovative solutions in a risk-free environment. This AI-enhanced methodology not only augments knowledge retention but also cultivates critical thinking and problem-solving skills essential for addressing real-world sustainability issues. The AI-powered Green Ambassadors program promotes collaborative learning and interdisciplinary problem-solving through real-time data analysis and predictive modeling. Students participate in dynamic scenario planning and decision-making exercises, reflecting real-world sustainability challenges. This hands-on approach enhances adaptability and fosters innovative, data-driven solutions. The program’s AI technologies facilitate personalized learning experiences, with adaptive algorithms modifying virtual simulations according to individual progress. This tailored approach improves learning outcomes and strengthens students’ connection to sustainability issues, potentially inspiring lifelong environmental advocacy. Within this program, students design and deliver experiential lessons on sustainability, renewable energy, and environmental awareness. Throughout their work, they utilize AI tools to assist with lesson planning, content creation, and the simulation of real-world environmental scenarios, enriching both their own learning experience and the quality of the educational materials they develop. The chapter examines various AI applications, including virtual assistants, interactive simulations, and AI-driven data analysis, which support students in crafting more engaging and effective lessons. By incorporating AI technologies, students can personalize their teaching, simulate environmental processes, and analyze data to make informed decisions regarding lesson content and teaching strategies. At the conclusion of the program, an evaluation was conducted to assess the impact of AI-enhanced teaching on elementary school students’ understanding of sustainability concepts. The results indicated increased engagement and improved learning outcomes, underscoring AI’s potential as a transformative tool in experiential education. The chapter emphasizes the importance of integrating AI into future educational programs to promote sustainability awareness and inspire the next generation of environmentally conscious citizens.

Enhancing Sustainability Education through AI-Powered Experiential Learning

章节
发表日期：

2026年

查看全文

Hen Friman

摘要

This chapter investigates the integration of artificial intelligence (AI) tools into sustainability education within higher education, utilizing the Green Ambassadors in the Community program at Holon Institute of Technology (HIT) as a case study. The program employs AI technologies to create immersive and interactive learning experiences that enhance students’ comprehension of sustainability concepts. Through virtual simulations and data-driven scenarios, students can examine complex environmental challenges and devise innovative solutions in a risk-free environment. This AI-enhanced methodology not only augments knowledge retention but also cultivates critical thinking and problem-solving skills essential for addressing real-world sustainability issues. The AI-powered Green Ambassadors program promotes collaborative learning and interdisciplinary problem-solving through real-time data analysis and predictive modeling. Students participate in dynamic scenario planning and decision-making exercises, reflecting real-world sustainability challenges. This hands-on approach enhances adaptability and fosters innovative, data-driven solutions. The program’s AI technologies facilitate personalized learning experiences, with adaptive algorithms modifying virtual simulations according to individual progress. This tailored approach improves learning outcomes and strengthens students’ connection to sustainability issues, potentially inspiring lifelong environmental advocacy. Within this program, students design and deliver experiential lessons on sustainability, renewable energy, and environmental awareness. Throughout their work, they utilize AI tools to assist with lesson planning, content creation, and the simulation of real-world environmental scenarios, enriching both their own learning experience and the quality of the educational materials they develop. The chapter examines various AI applications, including virtual assistants, interactive simulations, and AI-driven data analysis, which support students in crafting more engaging and effective lessons. By incorporating AI technologies, students can personalize their teaching, simulate environmental processes, and analyze data to make informed decisions regarding lesson content and teaching strategies. At the conclusion of the program, an evaluation was conducted to assess the impact of AI-enhanced teaching on elementary school students’ understanding of sustainability concepts. The results indicated increased engagement and improved learning outcomes, underscoring AI’s potential as a transformative tool in experiential education. The chapter emphasizes the importance of integrating AI into future educational programs to promote sustainability awareness and inspire the next generation of environmentally conscious citizens.