EUNIS Learning Analytics event: data informed teaching
Following the successful EUNIS learning analytics workshop in Manchester 2017, this workshop again offers a forum to learn, discuss and further explore the many faces of learning analytics. The theme of the workshop is learning and teaching, with main focus on teachers: What are the potential benefits on the one hand; and problems and risks on the other hand when using analytics?
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- Conceptual Frameworks
- Personalised Learning
- Curriculum Development
- Student Behaviour, Learning Outcomes and Learning Process
- Ethical Issues and Dilemmas
Agenda
Official agenda: EUNIS LA 2018 Helsinki final programme.pdf
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| Day II, October 12 2018 | Runeberginkatu 12-14, 3 classrooms for workshops |
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| 8:45 | Arrival |
| 9:00 | Parallel sessions 1 |
Round table discussion: Learning analytics - processing student data and GDPR Facilitator: Annette Baumann, ZKI, Germany | |
Workshop: Designing student dashboards (part 1) Facilitator: Elsa Cardoso, UI Lisbon | |
Workshop: Learning analytics and classroom practice or data- informed learning design Facilitators: Paul Bailey, Jisc UK & Gill Ferrell, EUNIS | |
| 12:00 | 10:30 Break |
| 11:00 | Parallel sessions 2 |
Workshop: Developing an evidence-based institutional learning analytics policy Facilitator: Yi-Shan Tsai, University of Edinburgh, SHEILA project | |
Workshop: Designing student dashboards (part 2) Facilitator: Elsa Cardoso, University Institute Lisbon, Portugal | |
Round table discussion: Learning analytics: the importance of standards Facilitator: Markus Gylling, IMS Global Consortium | |
| 12:30 | Round up of outcomes from each parallel session. Overall summary and closing remarks. |
| 13:00 | Lunch |
Focus and themes for the workshop
Based on the workshop in Manchester: How teaching is changed and improved by analytics, different uses of learning analytics
"Why do learning analytics, what's in it for me?"
- What learning analytics is? The way to engage teachers is by showing case studies by different LA projects in
- Showing case studies of different kinds of learning analytics projects in a class and campus-wide
- The key part is How these projects affected students in the way they learn - outcomes of the projects, case studies
- Tools and tips on how to start doing learning analytics (e.g. SHEILA framework)
Teaching
- awareness for the teachers
- raising ambition level
- leadership (program leaders, vice dean)
Ethics
- Voidaanko jättää pois vai otetaanko kuitenkin mukaan: kysytään oppimisanalytiikkajaostolta
Dashboard
Technical issues
Benefits from case studies, also learning from failed ones
ABC in connection with analytics? https://blogs.ucl.ac.uk/abc-ld/