Abstract
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By developing e-learning systems with an understanding of users’ cognitive load, rather than just focusing on traditional usability constructs, it is envisaged that better learning outcomes will occur. This conceptual paper presents a review of how an understanding of cognitive load can assist with the processes of developing e-learning systems that allow for increased learning outcomes. Through a comparative analysis of human–computer interaction (HCI) methods and cognitive load theory (CLT), a greater understanding of design principles can be gained. The paper focuses on the three main effects discussed in CLT literature—split-attention, redundancy, and element interactivity—and how a developer could use these methods to reduce cognitive load and improve learning outcomes.