Department of Culture and Learning


Tentative Programme

The programme for the LASI-Nordic 2018 conference is available to download by following the link below:





PROGRAMME | DAY 1 – 29/08/18


10:00 – 12:00 | Keynote – David Williamson Shaffer: ‘Turning Big Data into Real Understanding’

12:00 – 13:00 | Lunch

13:00 – 16:00 | Workshops (Tentative):

- WS1 | ENA – Quantitative Ethnography an Open Source Workshop – Morten Misfeldt & Kamila Misiejuk

- WS2 | Network Analysis – Jesper Bruun & Daniel Spikol

- WS3 | Data is the New Oil – Ulf Dalvad Berthelsen

16:00 – 16:30 | Break

16:30 – 18:00 | Firehose and Posters

19:30 – | Dinner from 20:00 at Väkst, Copenhagen


PROGRAMME | DAY 2 – 30/08/18

09:00 – 10:15 | Keynote – Sanna Järvelä: ‘Socially shared regulation in learning ––what does the triangulation of different multimodal datasets tell us?’

10:15 – 10:30 | Break

10:30 – 11:00 | Presentation of Firehose to Demos: Industry and Research

11:00 – 12:30 | Demos and Posters

12:30 – 13:30 | Lunch

13:30 – 15:00 | Community Development


David Williamson Shaffer – ‘Turning Big Data into Real Understanding’
The ability to teach and assess the development of complex thinking skills is crucial for 21st century educational research. In the age of Big Data, we have more information than ever about what students are doing and how they are thinking. However, the sheer volume of data available can overwhelm traditional qualitative and quantitative research methods. This talk looks at the importance of modeling complex thinking by connecting the study of culture with statistical tools to understand learning. A look at how to take a critical step in the field of learning analytics: to go beyond looking for patterns in mountains of data and tell textured stories at scale.


Sanna Järvelä – ‘Socially shared regulation in learning ––what does the triangulation of different multimodal datasets tell us?’

A problem for people today is not just to construct new knowledge collaboratively but regulate their learning and make adaptations in those challenging learning situations. Considering regulated learning in social context forces the field to search alternative ways to evidence the phenomena, because single methodological solution is not enough to reach the metacognitive, social and temporal progress of collaboration. Our research agenda is to examine processes during learning – emotion, motivation, cognition and metacognition in order to understand how students are progressing during learning and provide more adaptive support. The methods and tools for learning analytics have helped us trace and model socially shared regulation processes and understand learning in authentic learning contexts. In my talk I will review our recent methodological and analytical progress in our efforts to understand regulation in collaboration.