By By: Catherine Kaning Agbongiasede Ph.D, JP.
Michael Akam Abang Ph.D
Abstract
This study explores the integration of artificial intelligence (AI) in teaching and learning within the 21st century, grounded in the conceptual frameworks of personalized learning and adaptive instruction, alongside the sociocultural theory of learning. By employing a qualitative methodology, the research involved a comprehensive documentary review and document analysis to investigate how AI technologies can enhance educational experiences tailored to individual student needs and contextual factors. The findings reveal that AI significantly improves student engagement by providing personalized learning pathways that adapt to varying learning styles, preferences, and paces, thereby fostering a more inclusive educational environment. Additionally, AI supports teachers in developing adaptive instructional strategies, allowing them to better meet the diverse needs of their students and facilitating a more dynamic classroom experience. Moreover, the study highlights the importance of collaboration between educators and AI systems, emphasizing that effective implementation requires ongoing professional development and an understanding of the ethical implications associated with AI in education. The conclusion underscores the transformative potential of AI in reshaping educational practices, recommending that educators and policymakers prioritize investment in AI training, infrastructure, and resources. This investment should also address equity issues to ensure that all students have access to the benefits of AI-enhanced learning. By embracing these recommendations, educational institutions can harness the power of AI to create more effective, personalized, and adaptive learning environments that prepare students for the challenges of the modern world.
