The Evolution of Contact Learning in the Age of AI and the Fifth Industrial Revolution: Challenges, Opportunities, and Hybrid Learning Models.â€

The advent of artificial intelligence (AI) and the Fifth Industrial Revolution has sparked transformative changes across various sectors, including education. This study examines the evolution of contact learning within institutions of higher learning, aiming to explore its relevance and adaptation amidst technological advancements. The purpose of this manuscript is to assess the challenges, opportunities, and emerging hybrid models that integrate traditional in-person learning with cutting-edge AI tools and techniques. The central question addressed in this research is: How can institutions of higher learning adapt contact learning to remain relevant in the age of AI and the Fifth Industrial Revolution while maximizing its unique benefits? Grounded in the constructivist theoretical framework, this study emphasizes the role of human interaction in knowledge construction and the potential of blending digital tools to enhance learning experiences. The research methodology employed is desktop-based, involving a comprehensive review and synthesis of existing literature, reports, and case studies. By critically analyzing secondary data, this study evaluates the effectiveness of hybrid learning models and identifies best practices for implementation. Key ethical issues considered include respecting intellectual property rights, maintaining the integrity of sourced literature, and avoiding bias in interpreting findings. This study’s significance lies in its contribution to understanding how traditional learning methods can evolve sustainably in the digital era, ensuring equitable access to quality education while leveraging technological advancements.