Abstract
The field of learning analytics has progressed significantly since the first Learning Analytics and Knowledge (LAK) conference in 2011. In recent years, the emphasis on technical and statistical aspects of data and analytics has given way to a greater emphasis on what these data mean in the classroom context. This panel session is aimed at examining the emerging role that data and analytics play in understanding and supporting student learning in higher education. Specifically, the panel will focus on the importance of transdisciplinarity and how translation from data to action can occur in the classroom context. The aim of this session is to broaden the conversation about learning analytics within the ASCILITE community. From there, the panel will discuss ways in which learning analytics can have a greater impact on learning design in physical and digital learning environments.
Original language | English |
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Title of host publication | Proceedings of Australasian Society for Computers in Learning in Tertiary Education Conference 2018 |
Editors | Malcolm Campbell, Julie Willems, Chie Adachi, Damian Blake, Iain Doherty, Siva Krishnan, Susie Macfarlane, Leanne Ngo, Marcus O’Donnell, Stuart Palmer, Lynn Riddell, Ian Story, Harsh Suri, Joanna Tai |
Place of Publication | Australia |
Publisher | Australasian Society for Computers in Learning in Tertiary Education |
Pages | 559-561 |
Number of pages | 3 |
Edition | 1st |
Publication status | Published - 2018 |
Externally published | Yes |
Event | Annual Conference of the Australasian Society for Computers in Learning in Tertiary Education 2018 - Deakin University, Geelong, Australia Duration: 25 Nov 2018 → 28 Nov 2018 Conference number: 35th https://ascilite.org/wp-content/uploads/2018/12/ASCILITE-2018-Proceedings.pdf (Proceedings) |
Conference
Conference | Annual Conference of the Australasian Society for Computers in Learning in Tertiary Education 2018 |
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Abbreviated title | ASCILITE 2018 |
Country/Territory | Australia |
City | Geelong |
Period | 25/11/18 → 28/11/18 |
Internet address |
Keywords
- Learning analytics
- Learning sciences
- Student learning
- Teaching
- Transdisciplinarity