Drawing micro learning into MOOC: using fragmented pieces of time to enable effective entire course learning experiences
Paper
Paper/Presentation Title | Drawing micro learning into MOOC: using fragmented pieces of time to enable effective entire course learning experiences |
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Presentation Type | Paper |
Authors | Sun, Geng (Author), Cui, Tingru (Author), Shen, Jun (Author), Yong, Jianming (Author) and Chen, Shiping (Author) |
Editors | Fortino, Giancarlo, Shen, Weiming, Barthes, Jean-Paul, Luo, Junzhou, Li, Wenfeng, Ochoa, Sergio, Abel, Marie-Helene, Guerrieri, Antonio and Ramos, Milton |
Journal or Proceedings Title | Proceedings of the 2015 19th IEEE International Conference on Computer Supported Cooperative Work in Design (CSCWD) |
ERA Conference ID | 43280 |
Number of Pages | 6 |
Year | 2015 |
ISBN | 9781479920020 |
Digital Object Identifier (DOI) | https://doi.org/10.1109/CSCWD.2015.7230977 |
Conference/Event | 19th IEEE International Conference on Computer Supported Cooperative Work in Design (CSCWD 2015) |
International Conference on Computer Supported Cooperative Work in Design | |
Event Details | International Conference on Computer Supported Cooperative Work in Design CSCWD Rank B B B B B B B B |
Event Details | 19th IEEE International Conference on Computer Supported Cooperative Work in Design (CSCWD 2015) Event Date 06 to end of 08 May 2015 Event Location Calabria, Italy |
Abstract | Recently the massive open online course (MOOC) is an emerging trend that attracts many educators' and researchers' attentions. Based on our pilot study focusing on the development and operation of MOOC in Australia, we found MOOC is featured with mastery learning and blended learning, but it suffers from low completion rates. Brining micro learning into MOOC can be a feasible solution to improve current MOOC delivery and learning experience. We design a system which aims to provide adaptive micro learning contents as well as learning path identifications customized for each individual learner. To investigate how micro learning can impact learning experience and knowledge acquisitions of learners participated in MOOC, we suggest a potential scheme including hypotheses to evaluate our proposed approach. |
Keywords | MOOC; mastery learning; blended learning; micro learning; resource adaptation |
ANZSRC Field of Research 2020 | 460507. Information extraction and fusion |
Public Notes | © 2015 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. |
Byline Affiliations | University of Wollongong |
School of Management and Enterprise | |
Commonwealth Scientific and Industrial Research Organisation (CSIRO), Australia | |
Institution of Origin | University of Southern Queensland |
https://research.usq.edu.au/item/q3458/drawing-micro-learning-into-mooc-using-fragmented-pieces-of-time-to-enable-effective-entire-course-learning-experiences
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