In recent years, AI (Artificial Intelligence) has been increasingly used in environmental education to bridge the gap in the knowledge, values, skills, motivation, and behaviors concerning environmental challenges. AI technologies have high potentials in improving learning experiences and efficiency. For example, with VR (Virtual Reality), AR (Augmented Reality) and digital twins, people can experience real-world environmental issues remotely but immersively. Conversational and interactive platforms are also being developed to make learning more proactive and fun. AI-assisted environmental data monitoring can tailor more relevant and personalized learning experiences. The more visualized, engaging, and individually tailored leaning methods, powered by AI, enable more profound and empathetic understanding, which promotes measurement-taking from all societal sectors.
Facing the global environmental challenges, such as climate change, pollution, biodiversity loss, water scarcity, land degradation, overconsumption, food security, and more, responsible and moral actions are in urgent need for a sustainable and healthy planet. Environmental education is essential to unite all societal sectors to act together to reach planetary sustainability goals. This research topic aims to fasten the speed of reaching environmental sustainability through AI-assisted environmental education.
The current platforms such as OceanChat, WWT Together, Recycle Roundup, NASA’s GLOBE Observer, AI for Earth by Microsoft, and more, set examples of AI applications in environmental education. For further development, AI applications in environmental education can be tailored in numerous ways, such as the category of leaners, e.g., the public, educational and research institutions, business sectors, NGOs, and government units, or by the category of fields, e.g., climate, air, water, soil, energy, resources, biodiversity, consumption, production, environment and health, and environmental law.
We welcome all research topics related to AI-assisted environmental education, including but not limited to:
• Enhancing knowledge dissemination and environmental awareness; • Promoting environmental protection through innovative educational practices; • AI-driven surveillance, detection, and prediction of pollution events; • Data monitoring, analysis, and sharing for environmental purposes; • Identification and detection of environmental challenges; • Development and implementation of pedagogical innovations; • Strategies for improving environmentally responsible behaviors; • Support for effective decision-making and implementation of measurement-taking.
Target audiences for research include:
• The general public; • Educational and research institutions; • Business and industry sectors; • Regulatory agencies; • Decision and policy makers.
In particular, contributions are encouraged in the context of the United Nations Sustainability Goals, including, but not limited to:
1. Clean Water and Sanitation; 2. Affordable and Clean Energy; 3. Sustainable Cities and Communities; 4. Responsible Consumption and Production; 5. Climate Action; 6. Life Below Water; 7. Life on Land.
Article types and fees
This Research Topic accepts the following article types, unless otherwise specified in the Research Topic description:
Brief Research Report
Curriculum, Instruction, and Pedagogy
Data Report
Editorial
FAIR² Data
FAIR² DATA Direct Submission
General Commentary
Hypothesis and Theory
Methods
Articles that are accepted for publication by our external editors following rigorous peer review incur a publishing fee charged to Authors, institutions, or funders.
Article types
This Research Topic accepts the following article types, unless otherwise specified in the Research Topic description:
Brief Research Report
Curriculum, Instruction, and Pedagogy
Data Report
Editorial
FAIR² Data
FAIR² DATA Direct Submission
General Commentary
Hypothesis and Theory
Methods
Mini Review
Opinion
Original Research
Perspective
Policy and Practice Reviews
Review
Systematic Review
Technology and Code
Keywords: Data Science, Artificial Intelligence, Virtual Reality, Environmental Education, Sustainability in Education.
Important note: All contributions to this Research Topic must be within the scope of the section and journal to which they are submitted, as defined in their mission statements. Frontiers reserves the right to guide an out-of-scope manuscript to a more suitable section or journal at any stage of peer review.
