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Research Article

Cognitive load and working memory: a system view of measurement

Pages 54-69 | Received 05 Mar 2019, Accepted 24 Sep 2020, Published online: 15 Oct 2020
 

ABSTRACT

Within the fields of learning design, instructional systems and educational psychology, cognitive load has been discussed and debated for a number of years. The impact of course designs on learning process is still questioned, and how we learn continues to be an intriguing question. The fields of working memory (WM) and cognitive load (CL) have strived to explore this question over the years. This paper proposes a systems model to explore the overlaps of these concepts. Different types of load feedback within the systems model are discussed. The proposed model is simplified by introducing the idea of active and distracted WM. The model is conceptualised through the lens of learners interacting with page designs while studying through an online distance programme. We present the concepts as a stock and flow diagram, with related equations. The model allows us to bridge WM and CL and forms the foundation for testing the three types of cognitive load and how they interact in our course designs.

Disclosure statement

No potential conflict of interest was reported by the authors.

Notes

1. No consensus on the number of chunks available in working memory has been reached. Cowan (Citation2005) argued for four chunks while Miller (Citation1956) claimed seven. This paper uses seven chunks to illustrate the equations mathematically. Whichever is chosen, the underlying mechanism should remain the same.

2. Since the model primarily aims at mapping the general processes of cognitive load over working memory, the dual channel issue is set aside for the systems model. Also, the current focus of the research is centred on adult learners and their deep learning in a certain subject area. Therefore, the proposed model may not fit developmental psychology and factual information learning.

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