Informing learning design through analytics: Applying network graph analysis
© 2018 Australasian Journal of Educational Technology. Learning design has traditionally been thought of as an activity occurring prior to the presentation of a learning experience or a description of that activity. With the advent of near real-time data and new opportunities of representing the dec...
| Main Authors: | , , |
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| Format: | Journal Article |
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ASCILITE
2018
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| Online Access: | http://hdl.handle.net/20.500.11937/68038 |
| _version_ | 1848761725691625472 |
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| author | Ifenthaler, D. Gibson, D. Dobozy, Eva |
| author_facet | Ifenthaler, D. Gibson, D. Dobozy, Eva |
| author_sort | Ifenthaler, D. |
| building | Curtin Institutional Repository |
| collection | Online Access |
| description | © 2018 Australasian Journal of Educational Technology. Learning design has traditionally been thought of as an activity occurring prior to the presentation of a learning experience or a description of that activity. With the advent of near real-time data and new opportunities of representing the decisions and actions of learners in digital learning environments, learning designers can now apply dynamic learning analytics information on the fly in order to evaluate learner characteristics, examine learning designs, analyse the effectiveness of learning materials and tasks, adjust difficulty levels, and measure the impact of interventions and feedback. In a case study with 3550 users, the navigation sequence and network graph analysis demonstrate a potential application of learning analytics design. Implications based on the case study show that integration of analytics data into the design of learning environments is a promising approach. |
| first_indexed | 2025-11-14T10:36:14Z |
| format | Journal Article |
| id | curtin-20.500.11937-68038 |
| institution | Curtin University Malaysia |
| institution_category | Local University |
| last_indexed | 2025-11-14T10:36:14Z |
| publishDate | 2018 |
| publisher | ASCILITE |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | curtin-20.500.11937-680382018-05-18T08:07:30Z Informing learning design through analytics: Applying network graph analysis Ifenthaler, D. Gibson, D. Dobozy, Eva © 2018 Australasian Journal of Educational Technology. Learning design has traditionally been thought of as an activity occurring prior to the presentation of a learning experience or a description of that activity. With the advent of near real-time data and new opportunities of representing the decisions and actions of learners in digital learning environments, learning designers can now apply dynamic learning analytics information on the fly in order to evaluate learner characteristics, examine learning designs, analyse the effectiveness of learning materials and tasks, adjust difficulty levels, and measure the impact of interventions and feedback. In a case study with 3550 users, the navigation sequence and network graph analysis demonstrate a potential application of learning analytics design. Implications based on the case study show that integration of analytics data into the design of learning environments is a promising approach. 2018 Journal Article http://hdl.handle.net/20.500.11937/68038 10.14742/ajet.3767 ASCILITE restricted |
| spellingShingle | Ifenthaler, D. Gibson, D. Dobozy, Eva Informing learning design through analytics: Applying network graph analysis |
| title | Informing learning design through analytics: Applying network graph analysis |
| title_full | Informing learning design through analytics: Applying network graph analysis |
| title_fullStr | Informing learning design through analytics: Applying network graph analysis |
| title_full_unstemmed | Informing learning design through analytics: Applying network graph analysis |
| title_short | Informing learning design through analytics: Applying network graph analysis |
| title_sort | informing learning design through analytics: applying network graph analysis |
| url | http://hdl.handle.net/20.500.11937/68038 |