Harnessing Artificial Intelligence for Educational Innovation: Enhancing Learning Outcomes and Teaching Practices
DOI:
https://doi.org/10.70091/atras/AI.26Keywords:
adaptive learning, artificial intelligence, educational innovation, personalized learningAbstract
The rapid advancement of Artificial Intelligence offers a transformative opportunity for education by potentially revolutionizing teaching and learning practices. This study investigates the use of artificial intelligence tools, such as intelligent tutoring systems and adaptive learning platforms, to enhance personalized and engaging learning experiences. The significance of the study lies in its exploration of how artificial intelligence can improve student engagement, academic outcomes, and operational efficiency through automation and predictive analytics. The findings reveal that AI-powered personalized learning platforms enhance student involvement and academic results. However, challenges such as ethical concerns, data protection, and algorithmic bias must be addressed through robust data governance and ongoing oversight. The study also emphasizes the importance of comprehensive training and support for educators, advocating for the integration of artificial intelligence with best practices that involve stakeholder inclusion, iterative testing, and context-specific approaches. By considering these ethical and practical issues, the successful implementation of artificial intelligence can maximize its benefits in educational settings.
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