Applying Cognitive Load Theory to the Design of Online Learning. Page: 2
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be understood to suggest that resources should be used to accomplish results in such a
way as to maximize learning and minimize the amount of cognitive effort required.
This study fills a gap in current research (e.g., Clark, Nguyen, & Sweller, 2005;
Morrison & Anglin, 2005) by documenting the application of theory to practice.
Specifically, it tests three of the main effects of cognitive load theory in its application to
online learning in a higher education setting. The intention of this study was to provide
useful information for education and training personnel to better prepare them in
applying research-based instructional design practices to the distance learning
environment.
Instructional design is a critical component within the parameters of education
and training. The role of the instructional designer has typically been to analyze and
solve performance problems in a systematic manner and to implement various solutions
so that people can be productive and knowledgeable. Instructional design has been
described as the science of creating specifications to facilitate learning (Richey &
Nelson, 1996) and the systematic process of translating principles of learning and
instruction into plans for instructional materials and activities (Smith & Ragan, 1993).
Ideally, effectiveness and efficiency can be achieved through the teaching methods,
activities, and instructional materials designed to guide learning.
Recent years have seen a plethora of research related to instructional system
design, particularly in the realm of cognitive learning theories and the use of educational
technology (e.g., Clark et al., 2005; Morrison & Anglin, 2005; Paas, Renkl, & Sweller,
2004). However, it is debatable whether enough emphasis has been placed on the
convergence of theory and practice. In theory, the instructional design models used in2
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Burkes, Kate M. Erland. Applying Cognitive Load Theory to the Design of Online Learning., dissertation, May 2007; Denton, Texas. (https://digital.library.unt.edu/ark:/67531/metadc3698/m1/10/: accessed April 16, 2024), University of North Texas Libraries, UNT Digital Library, https://digital.library.unt.edu; .