In the era that is identified as the era of artificial intelligence (AI), this chapter attempts to explore the conjunction of transformative potential of green artificial intelligence (green AI) in fostering collaborative learning. This chapter highlights how AI techniques can expedite group learning by emphasizing on inclusivity, adaptability, and environmental consciousness, when it is programmed and applied in a responsible manner. The ideology of green AI can be traced to sustainable digital education that aims not only to individualized learning experience but also the reduction of ecological and environmental footprints of educational technologies. Using interdisciplinary approach, the chapter draws the evolution of collaborative learning from conventional face-to-face models to high-tech AI-powered ecosystem that focuses in intelligent teaching systems, virtual tutors, adaptive forums, data analytics, etc. With the help of real-world case studies from institutions like Stanford and MIT, the authors illustrate how AI-powered tools can hone skills like teamwork, problem-solving, critical thinking, and analyzing while aligning with United Nation Sustainable Development Goals. The chapter also highlights the ethical, technological, and pedagogical constraints for the implementation of AI in education. It can be said that the balanced approach is the need of the hour where technologist, academicians, and policymakers cocreate a framework that ensures the protection of data, equity in access, inclusivity, etc. Finally, this chapters positions green AI as a catalytic force that can revolutionize collaborative learning for a more responsible, responsive, and sustainable education in the future.

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Optimizing Collaborative Learning for Sustainability

  • Megha Chauhan,
  • Atul Kumar

摘要

In the era that is identified as the era of artificial intelligence (AI), this chapter attempts to explore the conjunction of transformative potential of green artificial intelligence (green AI) in fostering collaborative learning. This chapter highlights how AI techniques can expedite group learning by emphasizing on inclusivity, adaptability, and environmental consciousness, when it is programmed and applied in a responsible manner. The ideology of green AI can be traced to sustainable digital education that aims not only to individualized learning experience but also the reduction of ecological and environmental footprints of educational technologies. Using interdisciplinary approach, the chapter draws the evolution of collaborative learning from conventional face-to-face models to high-tech AI-powered ecosystem that focuses in intelligent teaching systems, virtual tutors, adaptive forums, data analytics, etc. With the help of real-world case studies from institutions like Stanford and MIT, the authors illustrate how AI-powered tools can hone skills like teamwork, problem-solving, critical thinking, and analyzing while aligning with United Nation Sustainable Development Goals. The chapter also highlights the ethical, technological, and pedagogical constraints for the implementation of AI in education. It can be said that the balanced approach is the need of the hour where technologist, academicians, and policymakers cocreate a framework that ensures the protection of data, equity in access, inclusivity, etc. Finally, this chapters positions green AI as a catalytic force that can revolutionize collaborative learning for a more responsible, responsive, and sustainable education in the future.