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Developing a new generation MOOC (ngMOOC): a design-based implementation research project with cognitive architecture and student feedback in mind
journal contribution
posted on 2020-03-31, 12:56 authored by Geoff Woolcott, Carolyn Seton, Raina Mason, Ouhao Chen, Warren Lake, Christos Markopoulos, William BoydThis paper describes a design-based implementation research (DBIR) approach to the development and trialling of a new generation massive open online course (ngMOOC) situated in an instructional setting of undergraduate mathematics at a regional Australian university. This process is underscored by two important innovations: (a) a basis in a well-established human cognitive architecture in terms of cognitive load theory; and (b) point-of-contact feedback based in a well-tested online system dedicated to enhancing the learning process. Analysis of preliminary trials suggests that the DBIR approach to the ngMOOC construction and development supports theoretical standpoints that argue for an understanding of how design for optimal learning can utilise conditions, such as differing online or blended educational contexts, in order to be effective and scalable. The ngMOOC development described in this paper marks the adoption of a cognitive architecture in conjunction with feedback systems, offering the groundwork for use of adaptive systems that cater for learner expertise. This approach seems especially useful in constructing and developing online learning that is self-paced and curriculum-based.
History
School
- Science
Department
- Mathematics Education Centre
Published in
European Journal of Open, Distance and E-LearningVolume
22Issue
1Pages
14 - 35Publisher
SciendoVersion
- VoR (Version of Record)
Rights holder
© EDENPublisher statement
This is an Open Access article. It is published by Sciendo under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International Licence (CC BY-NC-ND). Full details of this licence are available at: https://creativecommons.org/licenses/by-nc-nd/4.0/Acceptance date
2019-04-08Publication date
2019-07-01Copyright date
2019eISSN
1027-5207Publisher version
Language
- en
Depositor
Dr Ouhao Chen. Deposit date: 31 March 2020Usage metrics
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