Revolutionizing Education for Sustainable Development Through Adaptive Learning and Artificial Intelligence DOI
Jing Wang

Advances in computational intelligence and robotics book series, Journal Year: 2025, Volume and Issue: unknown, P. 63 - 92

Published: March 14, 2025

This chapter explores the impact of adaptive learning and AI for sustainable development education (ESD) reveals its potential to revolutionize traditional educational model. In current global context, which is complicated constantly changing, paradigms appear constrained because they only disseminate information in one direction do not engage learners sufficiently. Therefore, there an urgent need transform ESD using system thinking concepts. The role learning, personalized platforms, data-driven evaluation explained. AI's ability provide real-time feedback application settings are discussed through various case studies. After that, incorporation within explored, with theoretical underpinnings useful tactics presented. Finally, concludes a series policy recommendations guarantee fairness accessibility.

Language: Английский

Revolutionizing Education for Sustainable Development Through Adaptive Learning and Artificial Intelligence DOI
Jing Wang

Advances in computational intelligence and robotics book series, Journal Year: 2025, Volume and Issue: unknown, P. 63 - 92

Published: March 14, 2025

This chapter explores the impact of adaptive learning and AI for sustainable development education (ESD) reveals its potential to revolutionize traditional educational model. In current global context, which is complicated constantly changing, paradigms appear constrained because they only disseminate information in one direction do not engage learners sufficiently. Therefore, there an urgent need transform ESD using system thinking concepts. The role learning, personalized platforms, data-driven evaluation explained. AI's ability provide real-time feedback application settings are discussed through various case studies. After that, incorporation within explored, with theoretical underpinnings useful tactics presented. Finally, concludes a series policy recommendations guarantee fairness accessibility.

Language: Английский

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