IRMA-International.org: Creator of Knowledge
Information Resources Management Association
Advancing the Concepts & Practices of Information Resources Management in Modern Organizations

AI-Based Sustainable E-Learning Strategies for an Eco-Friendly World: Transforming Education

AI-Based Sustainable E-Learning Strategies for an Eco-Friendly World: Transforming Education
View Sample PDF
Author(s): Vikas Nain (Chandigarh University, India)and Rajeev Prasher (Chandigarh University., India)
Copyright: 2025
Pages: 20
Source title: Driving Business Success Through Eco-Friendly Strategies
Source Author(s)/Editor(s): Shrikaant Kulkarni (Sanjivani University, India & Victorian Institute of Technology, Australia), Marco Valeri (Niccolo Cusano University, Italy)and P. William (Sanjivani College of Engineering, India)
DOI: 10.4018/979-8-3693-9750-3.ch001

Purchase

View AI-Based Sustainable E-Learning Strategies for an Eco-Friendly World: Transforming Education on the publisher's website for pricing and purchasing information.

Abstract

The study proposes using AI in environmental education to promote sustainable learning that balances academic performance with environmental responsibility. To promote persistent learning. We will encourage continuous learning using these actions. This study promotes eco-friendly education. Schools must produce environmentally conscious people who can address resource depletion and climate change. Environmentally friendly, AI-powered e-learning systems may assist schools improve resource utilisation, energy efficiency, and customised learning. All of these are achievable with e-learning. Several AI-based technologies can tailor and engage education while lowering physical resources. Data-driven insights, adaptive learning, and immersive virtual worlds. AI may minimise carbon footprints and enhance resource efficiency in education, according to this study. Several research approaches are used. These research demonstrate artificial intelligence may enhance learning settings, but there are still challenges. Demand for qualified instructors and large AI model energy consumption.

Related Content

Aditi Nag. © 2026. 48 pages.
Mayur Thakur, Shikha Sharma, Trilochan Kumar. © 2026. 44 pages.
Partha Mukhopadhyay, Prachee Parwanee. © 2026. 36 pages.
Kamaraj Kalaimathy, Chathana Thagavel, Sofiya M. Karunanithi. © 2026. 30 pages.
İlhami Ay, Murat Dal. © 2026. 34 pages.
Vinupandyan Lakshmanan. © 2026. 32 pages.
Muhammad Usman Tariq. © 2026. 28 pages.
Body Bottom