Abstract
The amount of data extracted from learning experiences has grown at an astonishing pace both in depth due to the increasing variety of data sources, and in breath with courses now being offered to massive student cohorts. However, in this emerging scenario instructors are now facing the challenge of connecting the knowledge emerging from data analysis with the provision of meaningful support actions to students within the context of an instructional design. The objective of this tutorial is to give attendees a set of hypothetical scenarios in which the knowledge extracted from a learning experience needs to be used to provide frequent personalized feedback to students.
Original language | English |
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Title of host publication | LAK'17 Conference Proceedings |
Subtitle of host publication | The Seventh International Learning Analytics and Knowledge Conference: Understanding, Informing and Improving Learning with Data |
Editors | Inge Molenaar, Xavier Ochoa, Shane Dawson |
Place of Publication | New York NY USA |
Publisher | Association for Computing Machinery (ACM) |
Pages | 522-523 |
Number of pages | 2 |
ISBN (Electronic) | 9781450348706 |
DOIs | |
Publication status | Published - 13 Mar 2017 |
Externally published | Yes |
Event | International Learning Analytics & Knowledge Conference 2017 - Morris J Wosk Centre for Dialogue, Simon Fraser University, Vancouver, Canada Duration: 13 Mar 2017 → 17 Mar 2017 Conference number: 7th http://lak17.solaresearch.org/ |
Conference
Conference | International Learning Analytics & Knowledge Conference 2017 |
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Abbreviated title | LAK 2017 |
Country/Territory | Canada |
City | Vancouver |
Period | 13/03/17 → 17/03/17 |
Internet address |
Keywords
- Feedback
- Instructiona design
- Learning analytics
- Predictive analytics
- Student support