Peter Holtz

Peter Holtz


Current position: Post-doc

Research field: Psychology

Research focus within AFEL: Socio-cognitive models of learning

What is your main research interest?

The texture of knowledge (What is knowledge? Are there different forms of knowledge?) and the use of ‘big data’ techniques to gain psychological insights.

What are you currently working on? (in the context within AFEL)

Together with colleagues from the L3S, we are currently working on the automatized detection of a topic’s controversiality. We aim at analyzing facilitating and detrimental factors in knowledge building communities such as Wikipedia.

What is “Analytics of Every Day Learning” for you?

The interplay between state of the art basic research and the development of new technology.

What are present challenges that the AFEL project can support?

For example, the automatized detection of biased information.

What have you learnt from your engagement with Learning Analytics?

I learned much about ‘big data’ techniques.

Why should learners use AFEL tools? (What can they expect, which personal requirements are necessary, what benefit do they generate?)

It’s a bit early to say, but hopefully they can be relevant for a wide range of users.

What is your vision for “Analytics of Every Day Learning”?

Based on solid basic research, we can develop technology that makes it easier for learners to find fitting and reliable information on the web. Maybe our research helps to alleviate detrimental tendencies such as the polarization of internet communities (‘echo-chamber effect’).