Abstract : Cognitive load management is one critical factor in optimizing learning outcomes, especially in an online digital learning environment. This paper is founded upon research we conducted by collecting and analyzing data from grade 12 students to assess the efficiency of adaptive multimedia interfaces. It employs a comprehensive research methodology and provides quantitative results that strengthen the empirical basis of this field. It discusses how video, audio, and interactive simulations can have their multimedia content better designed using the principles of cognitive informatics that manage cognitive load. Additionally, this study highlights the innovation of AI-driven adaptive learning systems by comparing them with ordinary multimedia-based instruction. CLT will be explored, along with adaptive multimedia interfaces, neurofeedback mechanisms, the impact of different multimedia modalities on memory retention, understanding, and cognitive engagement, and finally the practical applications in elearning and virtual classrooms.

Keyword : Adaptive learning, cognitive, extraneous load, neurofeedback, optimal learning.