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Using cognitive load theory to structure computer‐based learning including MOOCs
Author(s) -
Chen O.,
Woolcott G.,
Sweller J.
Publication year - 2017
Publication title -
journal of computer assisted learning
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.583
H-Index - 93
eISSN - 1365-2729
pISSN - 0266-4909
DOI - 10.1111/jcal.12188
Subject(s) - instructional design , computer science , learning theory , cognition , educational technology , cognitive architecture , learning sciences , cognitive load , the internet , multimedia , computer assisted instruction , architecture , learning environment , mathematics education , human–computer interaction , cognitive science , world wide web , psychology , art , neuroscience , visual arts
Abstract A massive, open, online course (MOOC) is a form of computer‐based learning that offers open access, internet‐based education for unlimited numbers of participants. However, the general quality and utility of MOOCs has been criticized. Most MOOCs have been structured with minimal consideration of relevant aspects of human cognitive architecture and instructional design principles. This paper suggests cognitive load theory, with its roots embedded in our knowledge of human cognitive architecture and evolutionary educational psychology, is ideally placed to provide instructional design principles for all forms of computer‐based learning, including MOOCs. The paper outlines the theory and indicates instructional design principles that could be used to structure online learning and to provide an appropriate base for instructional design when using computer‐based learning.