AI and Human Synergy: Utilizing AI to Enhance Teaching and Learning

Abstract

Background and Aims: Studying AI-human synergy is critical for transforming education by combining AI's data-driven insights with the human touch of educators. This integration improves personalized learning and teaching by allowing educators to focus on developing critical thinking and creativity, resulting in increased student engagement and achievement. Thus, this paper aims to investigate utilizing AI to enhance teaching and learning. Methodology: The methodology for this review entails a systematic assessment of AI applications in education using a variety of academic and industry sources. Data is gathered using a structured search strategy and analyzed thematically to identify trends and evaluate the impact of AI technologies on teaching and learning. This approach ensures a thorough examination of AI-human synergy and serves as a foundation for future research. Results: The finding emphasizes the transformative power of AI-human collaboration in education. Integrating AI into traditional teaching methods improves educational effectiveness by providing real-time analytics and personalized feedback. AI-supported professional development provides teachers with tailored resources, and AI tools significantly increase student engagement through interactive learning experiences. However, challenges such as ethical issues, integration barriers, and equity concerns must be addressed before AI's full potential in education can be realized. Case studies showcase successful AI implementations and best practices while emerging trends and research gaps outline AI's future directions in education. Conclusion: The results show that AI-human collaboration has the potential to transform education by improving teaching methods and increasing student engagement. Addressing issues such as ethics and equity is critical to realizing AI's full potential and shaping the future of educational practices.