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.
Journal article
Using cognitive load theory to structure computer-based learning including MOOCs
Journal of Computer Assisted Learning, Vol.33(4), pp.293-305
2017
Metrics
29 Record Views
UN Sustainable Development Goals (SDGs)
This output has contributed to the advancement of the following goals:
Source: InCites
Abstract
Details
- Title
- Using cognitive load theory to structure computer-based learning including MOOCs
- Creators
- O Chen - Southern Cross UniversityGeoff Woolcott - Southern Cross UniversityJ Sweller - University of New South Wales
- Publication Details
- Journal of Computer Assisted Learning, Vol.33(4), pp.293-305
- Identifiers
- 2760; 991012821224102368
- Academic Unit
- School of Education; Faculty of Education
- Resource Type
- Journal article