Reimagining Curriculum and Assessment in the Age of Generative AI, IGI Global, ss.97-134, 2025
This chapter offers a foundation for designing educational environments that integrate scaffolding and manage cognitive load to optimise learning. It introduces principles of memory and cognitive load theory, including its subtypes, and explores how they apply to educational platforms through empirical studies. Taking a two-way approach, it highlights the reciprocal link between theory and practice (Mayer, 2008). Grounded in current research, the chapter presents four AI-integrated pathways: AI-powered systems, conversational agents, instructional material design, and gamification. These support scaffolding and cognitive balance, promote self-regulated learning, and highlight the role of instructional design in enhancing autonomy, engagement, and knowledge construction. Ethical and cultural considerations are addressed through recent research, supporting a view of education that is humancentred, values-driven, and critically engaged.