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La tartu
- 1. LA Tartu: Designing a Learning Analytics platform for the University of Tartu… and beyond! Irene-Angelica Chounta
- 2. Hello world I am Irene! PhD: Methods and tools for the evaluation of collaborative learning activities using time series (2014, University of Patras) Greece!!!
- 3. Digital Technology & Education
- 4. Digital Technology & Education
- 5. Learning Analytics: A new kid on the block! Simon Buckingham Shum, ICLS 2018 Keynote: Transitioning Education’s Knowledge Infrastructure, available at: Simon.BuckinghamShum.net
- 6. Who are Learning Analytics for? • Students
- 7. Who are Learning Analytics for? • Students • Teachers
- 8. Who are Learning Analytics for? • Students • Teachers • Researchers
- 9. Infrastructure @UT Study Information System (SIS) - Demographics - Info about prior study places - Info about current study place - Info about student’s performance on course level - Info about Social profile +
- 10. LA Tartu: a Learning Analytics platform for UT Goal • To propose monitoring & guiding tools (dashboards) for stakeholders to support motivation, self-reflection, self-regulation, performance and affect First application: a teacher’s tool to assess the risk factor with respect to student’s successful coursecompletion (target: bachelor and master students)
- 11. LA Tartu: a Learning Analytics platform for UT • Combine data from student history (SIS) and current practice (Moodle) • Anonymize data and feed to LA platform • Use a student model to assess (predict) performance • Send assessment back to SIS interface
- 12. Thank you www.iachounta.com mail: chounta@ut.ee
Editor's Notes
- The increasing interest in big data, The rise of online education which saw an increase in digital data regarding student background (often held in the MIS) and learning log data (from VLEs). The need to provide evidence of the learning process but also gain insight with respect to underlying learning mechanisms LEARNING ANALYTICS
- Human-centered design discipline that employes computational methods to explore data traces from learning activities and to identify patterns that indicate learning (backed up by pedagogical reasoning) that we can use to provide meaningful feedback and APPROPRIATE interventions