Using artificial intelligence in sustainability teaching and learning

IF 6 3区环境科学与生态学 Q1 ENVIRONMENTAL SCIENCES

Environmental Sciences Europe Pub Date : 2025-07-19 DOI:10.1186/s12302-025-01159-w

Walter Leal Filho, Eundeok Kim, Jaluza Maria Lima Silva Borsatto, Carla Bonato Marcolin

{"title":"Using artificial intelligence in sustainability teaching and learning","authors":"Walter Leal Filho, Eundeok Kim, Jaluza Maria Lima Silva Borsatto, Carla Bonato Marcolin","doi":"10.1186/s12302-025-01159-w","DOIUrl":null,"url":null,"abstract":"<div><h3>Background</h3><p>The integration of artificial intelligence (AI) in sustainability education (SE) represents a forward-thinking approach to teaching and learning, addressing complex global challenges through innovative technology. The deployment of AI offers promising prospects in SE as a means to enhance learning experiences, foster innovative problem-solving skills, and contribute to the development of sustainable solutions. Despite the potential of AI in sustainability teaching and learning, there is a need for studies that explore several key areas, including how AI may enhance educational outcomes, develop sustainable solutions, and prepare students for future challenges. </p><h3>Results</h3><p>By means of a set of case studies and a survey from 45 countries, it examines the current use of AI as a tool towards sustainable development identifying some areas where action is needed. The results show that the integration of AI in SE has the potential to significantly enhance the learning experience by providing personalized instruction and facilitating interactive simulations that deepen students' understanding of complex environmental issues. In addition, AI tools can increase student engagement through personalized learning paths and real-time feedback, fostering a more interactive and immersive educational environment that encourages critical thinking and problem-solving. </p><h3>Conclusions</h3><p>While promising, the use of AI in SE requires ongoing research to explore potential challenges and the ethical implications of AI technologies in educational settings.</p></div>","PeriodicalId":546,"journal":{"name":"Environmental Sciences Europe","volume":"37 1","pages":""},"PeriodicalIF":6.0000,"publicationDate":"2025-07-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://link.springer.com/content/pdf/10.1186/s12302-025-01159-w.pdf","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Environmental Sciences Europe","FirstCategoryId":"93","ListUrlMain":"https://link.springer.com/article/10.1186/s12302-025-01159-w","RegionNum":3,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENVIRONMENTAL SCIENCES","Score":null,"Total":0}

引用次数: 0

Abstract

Background

The integration of artificial intelligence (AI) in sustainability education (SE) represents a forward-thinking approach to teaching and learning, addressing complex global challenges through innovative technology. The deployment of AI offers promising prospects in SE as a means to enhance learning experiences, foster innovative problem-solving skills, and contribute to the development of sustainable solutions. Despite the potential of AI in sustainability teaching and learning, there is a need for studies that explore several key areas, including how AI may enhance educational outcomes, develop sustainable solutions, and prepare students for future challenges.

Results

By means of a set of case studies and a survey from 45 countries, it examines the current use of AI as a tool towards sustainable development identifying some areas where action is needed. The results show that the integration of AI in SE has the potential to significantly enhance the learning experience by providing personalized instruction and facilitating interactive simulations that deepen students' understanding of complex environmental issues. In addition, AI tools can increase student engagement through personalized learning paths and real-time feedback, fostering a more interactive and immersive educational environment that encourages critical thinking and problem-solving.

Conclusions

While promising, the use of AI in SE requires ongoing research to explore potential challenges and the ethical implications of AI technologies in educational settings.

查看原文本刊更多论文

人工智能在可持续教学中的应用

人工智能（AI）在可持续发展教育（SE）中的整合代表了一种前瞻性的教学方法，通过创新技术解决复杂的全球挑战。人工智能作为一种增强学习经验、培养创新解决问题能力和促进可持续解决方案发展的手段，在东南地区的应用前景广阔。尽管人工智能在可持续性教学和学习方面具有潜力，但仍需要研究探索几个关键领域，包括人工智能如何提高教育成果，制定可持续解决方案，并为学生应对未来挑战做好准备。通过一系列案例研究和来自45个国家的调查，报告审查了目前人工智能作为可持续发展工具的使用情况，确定了需要采取行动的一些领域。结果表明，通过提供个性化指导和促进交互式模拟，加深学生对复杂环境问题的理解，AI在SE中的集成有可能显著提高学习体验。此外，人工智能工具可以通过个性化的学习路径和实时反馈来提高学生的参与度，营造一个更具互动性和沉浸式的教育环境，鼓励批判性思维和解决问题。尽管前景光明，但人工智能在教育领域的应用需要持续研究，以探索人工智能技术在教育领域的潜在挑战和伦理影响。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

求助全文

约1分钟内获得全文求助全文

来源期刊

Environmental Sciences Europe Environmental Science-Pollution

CiteScore

11.20

自引率

1.70%

发文量

110

审稿时长

13 weeks

期刊介绍： ESEU is an international journal, focusing primarily on Europe, with a broad scope covering all aspects of environmental sciences, including the main topic regulation. ESEU will discuss the entanglement between environmental sciences and regulation because, in recent years, there have been misunderstandings and even disagreement between stakeholders in these two areas. ESEU will help to improve the comprehension of issues between environmental sciences and regulation. ESEU will be an outlet from the German-speaking (DACH) countries to Europe and an inlet from Europe to the DACH countries regarding environmental sciences and regulation. Moreover, ESEU will facilitate the exchange of ideas and interaction between Europe and the DACH countries regarding environmental regulatory issues. Although Europe is at the center of ESEU, the journal will not exclude the rest of the world, because regulatory issues pertaining to environmental sciences can be fully seen only from a global perspective.