Harnessing AI for sustainable higher education: ethical considerations, operational efficiency, and future directions
Abstract As higher education faces technological advancement and environmental imperatives, AI becomes a key instrument for revolutionizing instructional methods and institutional operations. AI can improve educational outcomes, resource management, and long-term sustainability in higher education,...
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| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
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Springer
2025-01-01
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| Series: | Discover Sustainability |
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| Online Access: | https://doi.org/10.1007/s43621-025-00809-6 |
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| author | Sunawar Khan Tehseen Mazhar Tariq Shahzad Muhammad Amir Khan Ateeq Ur Rehman Mamoon M. Saeed Habib Hamam |
| author_facet | Sunawar Khan Tehseen Mazhar Tariq Shahzad Muhammad Amir Khan Ateeq Ur Rehman Mamoon M. Saeed Habib Hamam |
| author_sort | Sunawar Khan |
| collection | DOAJ |
| description | Abstract As higher education faces technological advancement and environmental imperatives, AI becomes a key instrument for revolutionizing instructional methods and institutional operations. AI can improve educational outcomes, resource management, and long-term sustainability in higher education, according to this study. The research uses case studies and best practices to show how AI-driven innovations can minimize environmental impact, enhance energy efficiency, and customize learning, creating a more sustainable and inclusive academic environment. The document discusses AI ethics, including data privacy, algorithmic prejudice, and the digital divide. It emphasizes the need for strong ethical frameworks to use AI ethically and make decisions with transparency and fairness. The study also emphasizes the need for robust institutional rules and infrastructure to promote ethical AI integration, protecting student privacy and supporting fair access to AI technologies. The research also shows how AI-driven curriculum-building tools can educate students for future sustainability concerns and stimulate research innovation. The prospects and difficulties of AI in higher education are critically examined, including its potential to change traditional educational roles, improve academic performance, and maintain institutional profitability. Actionable recommendations for educators, politicians, and institutional leaders contribute to the education sustainability conversation. Focusing on AI and sustainability creates the framework for a future where technology and environmental stewardship are intimately connected, ensuring that higher education institutions can prosper in a fast-changing world. |
| format | Article |
| id | doaj-art-ffe273997cd84f3b99cebf80b85d36df |
| institution | Kabale University |
| issn | 2662-9984 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | Springer |
| record_format | Article |
| series | Discover Sustainability |
| spelling | doaj-art-ffe273997cd84f3b99cebf80b85d36df2025-01-19T12:05:10ZengSpringerDiscover Sustainability2662-99842025-01-016111810.1007/s43621-025-00809-6Harnessing AI for sustainable higher education: ethical considerations, operational efficiency, and future directionsSunawar Khan0Tehseen Mazhar1Tariq Shahzad2Muhammad Amir Khan3Ateeq Ur Rehman4Mamoon M. Saeed5Habib Hamam6Department of Software Engineering, Islamia University of BahawalpurDepartment of Computer Science and Information Technology, School Education Department, Government of PunjabFaculty of Engineering, Uni de MonctonDepartment of Computer Engineering , COMSATS University IslamabadSchool of Computing Sciences, College of Computing, Informatics and Mathematics, Universiti Teknologi MARASchool of Computing, Gachon UniversityFaculty of Engineering, Uni de MonctonAbstract As higher education faces technological advancement and environmental imperatives, AI becomes a key instrument for revolutionizing instructional methods and institutional operations. AI can improve educational outcomes, resource management, and long-term sustainability in higher education, according to this study. The research uses case studies and best practices to show how AI-driven innovations can minimize environmental impact, enhance energy efficiency, and customize learning, creating a more sustainable and inclusive academic environment. The document discusses AI ethics, including data privacy, algorithmic prejudice, and the digital divide. It emphasizes the need for strong ethical frameworks to use AI ethically and make decisions with transparency and fairness. The study also emphasizes the need for robust institutional rules and infrastructure to promote ethical AI integration, protecting student privacy and supporting fair access to AI technologies. The research also shows how AI-driven curriculum-building tools can educate students for future sustainability concerns and stimulate research innovation. The prospects and difficulties of AI in higher education are critically examined, including its potential to change traditional educational roles, improve academic performance, and maintain institutional profitability. Actionable recommendations for educators, politicians, and institutional leaders contribute to the education sustainability conversation. Focusing on AI and sustainability creates the framework for a future where technology and environmental stewardship are intimately connected, ensuring that higher education institutions can prosper in a fast-changing world.https://doi.org/10.1007/s43621-025-00809-6AI-driven learningSustainable campus operationsAlgorithmic bias in educationEnergy efficiency in higher educationEthical AI governance |
| spellingShingle | Sunawar Khan Tehseen Mazhar Tariq Shahzad Muhammad Amir Khan Ateeq Ur Rehman Mamoon M. Saeed Habib Hamam Harnessing AI for sustainable higher education: ethical considerations, operational efficiency, and future directions Discover Sustainability AI-driven learning Sustainable campus operations Algorithmic bias in education Energy efficiency in higher education Ethical AI governance |
| title | Harnessing AI for sustainable higher education: ethical considerations, operational efficiency, and future directions |
| title_full | Harnessing AI for sustainable higher education: ethical considerations, operational efficiency, and future directions |
| title_fullStr | Harnessing AI for sustainable higher education: ethical considerations, operational efficiency, and future directions |
| title_full_unstemmed | Harnessing AI for sustainable higher education: ethical considerations, operational efficiency, and future directions |
| title_short | Harnessing AI for sustainable higher education: ethical considerations, operational efficiency, and future directions |
| title_sort | harnessing ai for sustainable higher education ethical considerations operational efficiency and future directions |
| topic | AI-driven learning Sustainable campus operations Algorithmic bias in education Energy efficiency in higher education Ethical AI governance |
| url | https://doi.org/10.1007/s43621-025-00809-6 |
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