AI INTEGRATION IN TERTIARY COLLABORATIVE LEARNING: THEORY, PRACTICE, AND ETHICAL CONSIDERATIONS

Abstract

In the rapidly evolving landscape of education, the integration of artificial intelligence (AI) has emerged as a transformative force, reshaping traditional approaches to teaching and learning. This chapter explores the intersection of AI and collaborative learning environments at the tertiary level, delving into theoretical foundations, design principles, pedagogical strategies, and practical applications. Through the lens of collaborative learning theories and recent advancements in AI technologies, educators are empowered to create dynamic and personalized learning experiences that foster collaboration, critical thinking, and knowledge co-construction among students. Drawing upon theoretical frameworks and empirical research, this chapter provides insights into the design principles, pedagogical strategies, and ethical considerations essential for harnessing the power of AI to enhance collaborative learning outcomes. Practical examples, case studies, and best practices illustrate the diverse applications of AI in facilitating group formation, peer feedback, cross-disciplinary collaboration, and individualized support. By leveraging AI technologies effectively, educators can cultivate collaborative learning environments that prepare students for success in an interconnected and complex world.