Using cognitive load theory to structure computer-based learning including MOOCs
journal contribution
posted on 2020-03-31, 12:18 authored by Ouhao Chen, G Woolcott, J Sweller© 2017 John Wiley & Sons Ltd 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.
History
School
- Science
Department
- Mathematics Education Centre
Published in
Journal of Computer Assisted LearningVolume
33Issue
4Pages
293 - 305Citation
Chen, Ouhao; Woolcott, G; Sweller, J (2017): Using cognitive load theory to structure computer-based learning including MOOCs. Journal of Computer Assisted Learning, 33(4), pp. 293-305.Publisher
Wiley Online LibraryVersion
- AM (Accepted Manuscript)
Rights holder
© WileyPublisher statement
This is the peer reviewed version of the following article: Chen, Ouhao; Woolcott, G; Sweller, J (2017): Using cognitive load theory to structure computer-based learning including MOOCs. Journal of Computer Assisted Learning, 33(4), pp. 293-305, which has been published in final form at https://doi.org/10.1111/jcal.12188. This article may be used for non-commercial purposes in accordance with Wiley Terms and Conditions for Use of Self-Archived VersionsAcceptance date
2017-02-12Publication date
2017-03-20Copyright date
2017ISSN
0266-4909eISSN
1365-2729Publisher version
Language
- en
Depositor
Dr Ouhao Chen Deposit date: 31 March 2020Usage metrics
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cognitive load theoryevolutionary educational psychologyhuman cognitive architectureinstructional designMOOCsSocial SciencesEducation & Educational ResearchSPLIT-ATTENTIONWORKING-MEMORYWORKED-EXAMPLEPROGRAMMING INSTRUCTIONMULTIMEDIA INSTRUCTIONELEMENT INTERACTIVITYEXPERTISE REVERSALONLINE COURSESGENERATIONSTRATEGIESEducationOther Information and Computing SciencesSpecialist Studies in EducationCognitive Sciences
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