From Theory To Practice: Harnessing Ai For Enhanced Teaching-Learning Dynamics

Abstract

Background: This article explores the impact of artificial intelligence (AI) on virtual teaching and learning within various educational contexts. It scrutinizes the features and complexities of AI tools currently employed in education, highlighting their integration with established technologies like virtual learning management systems.

Methods: The methodology involves a comprehensive analysis of primary and secondary sources concerning the advancement of AI and its potential applications in education. Ethical considerations surrounding the adoption of AI in educational settings are also examined.

Results: The study identifies key AI instruments utilized in teaching-learning processes while addressing the ethical debates surrounding their implementation. The outcomes aim to inform and enhance the effective utilization of AI in education while acknowledging its potential benefits and the challenges associated with its integration and growth in educational settings.

Conclusion: The article underscores the transformative potential of AI in education while emphasizing the importance of navigating ethical considerations and challenges inherent in its adoption. By leveraging AI tools effectively, educational stakeholders can optimize teaching and learning processes, fostering innovative and inclusive educational environments.