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International Journal of Creative and Open Research in Engineering and Management

A Peer-Reviewed, Open-Access International Journal Supporting Multidisciplinary Research, Digital Publishing Standards, DOI Registration, and Academic Indexing.
Journal Information
ISSN: 3108-1754 (Online)
Crossref DOI: Available
ISO Certification: 9001:2015
Publication Fee: 599/- INR
Compliance: UGC Journal Norms
License: CC BY 4.0
Peer Review: Double Blind
Volume 02, Issue 05

Published on: May 2026

AI-BASED SMART TEACHING METHODS FOR SUSTAINABLE EDUCATION

Mayank Sharma Sachin Agrawal

Pankaj Kumar Gupta

BCA Department at DPBS College Anupshahr Distt. BulandShahr (UP) India

Article Status

Plagiarism Passed Peer Reviewed Open Access

Available Documents

Abstract

In Today’s era Artificial Intelligence (AI) is transforming the education sector by introducing smart teaching methods that enhance learning efficiency, accessibility, personalization, and sustainability. Traditional education systems often face challenges such as lack of individualized learning, excessive paper consumption, unequal access to educational resources, and increased teacher workload. AI-based smart teaching methods provide innovative solutions through adaptive learning systems, intelligent tutoring systems, automated assessments, virtual classrooms, and AI-powered educational analytics. These technologies support sustainable education by promoting digital learning, reducing environmental impact, improving resource utilization, and ensuring inclusive education for diverse learners. This research paper examines the role of AI in sustainable education, the applications of AI-based teaching methods, their advantages, challenges, and future prospects. The study concludes that AI-driven educational technologies are creating efficient, eco-friendly, and student-centered learning environments that contribute significantly to sustainable educational development.

Keywords:

Artificial Intelligence, Teaching Methods, Education System, Sustainable Education, Smart Teaching Methods, Chatbots, Paperless Learning, Duolingo, Coursera, Google Classroom, Zoom.

How to Cite this Paper

Sharma, M. & Agrawal, S. (2026). AI-Based Smart Teaching Methods for Sustainable Education. International Journal of Creative and Open Research in Engineering and Management, <i>02</i>(05). https://doi.org/10.55041/ijcope.v2i5.320

Sharma, Mayank, and Sachin Agrawal. "AI-Based Smart Teaching Methods for Sustainable Education." International Journal of Creative and Open Research in Engineering and Management, vol. 02, no. 05, 2026, pp. . doi:https://doi.org/10.55041/ijcope.v2i5.320.

Sharma, Mayank, and Sachin Agrawal. "AI-Based Smart Teaching Methods for Sustainable Education." International Journal of Creative and Open Research in Engineering and Management 02, no. 05 (2026). https://doi.org/https://doi.org/10.55041/ijcope.v2i5.320.

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References


  1. Russell, S., & Norvig, P. Artificial Intelligence: A Modern Approach. Pearson Education.

  2. Holmes, W., Bialik, M., & Fadel, C. Artificial Intelligence in Education. Center for Curriculum Redesign.

  3. Luckin, R. Machine Learning and Human Intelligence. UCL Institute of Education Press.

  4. “AI in Education and Sustainable Learning Systems.” International Journal of Educational Technology.

  5. “Smart Teaching Methods Using Artificial Intelligence.” Journal of Digital Learning and Education.

  6. UNESCO Reports on Artificial Intelligence and Education.

  7. “Sustainable Education through Digital Transformation.” Educational Development Review.

  8. Research papers on Intelligent Tutoring Systems and Adaptive Learning Technologies.

  9. “AI Chatbots and Virtual Learning Systems.” International Conference on Smart Education Technologies.

  10. Government and institutional reports on digital education and sustainable development goals (SDGs).

Ethical Compliance & Review Process

  • All submissions are screened under plagiarism detection.
  • Review follows editorial policy.
  • Authors retain copyright.
  • Peer Review Type: Double-Blind Peer Review
  • Published on: May 10 2026
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