The data collection at Ritaharju before Christmas produced a huge amount of data. We have now 48 gigabytes of physiological data, different types of self-reports and over 200 hundred hours of video from students collaborative working to play with.
If you think about the amount of data we now have in our hands, you probably understand that we want to make sure we will have a solid and shared understanding on regulated learning in collaboration. That is why we engaged in a very stimulating discussion in which we built our conceptual clarity on what we mean with time, granularity and contextuality in relation to studying socially shared regulation from process data. As you can imagine, this required a lot of coffee and sweets. Now, we are conceptually ready to get our hands into the amazing data we have collected.
Our intensive data asks for organized and systematic approach. Therefore, we are setting up a MySQL database to simplify the synchronization, preprocessing and filtering of the data. For this we were happy to get a new member in our team to help us. Our new intern Andy has presented his progress on developing a database for storing and query-based retrieval of the project data.
In addition, we are looking at possibilities to use AI to analyse the huge amount of video data we have. For example, how do we recognise the features of group interactions relevant for exploring regulated learning processes. Stay tuned for exciting news! :-)
As a final note, a lot more candies and many many cups of coffee to be consumed in the following months :D
If you think about the amount of data we now have in our hands, you probably understand that we want to make sure we will have a solid and shared understanding on regulated learning in collaboration. That is why we engaged in a very stimulating discussion in which we built our conceptual clarity on what we mean with time, granularity and contextuality in relation to studying socially shared regulation from process data. As you can imagine, this required a lot of coffee and sweets. Now, we are conceptually ready to get our hands into the amazing data we have collected.
Our intensive data asks for organized and systematic approach. Therefore, we are setting up a MySQL database to simplify the synchronization, preprocessing and filtering of the data. For this we were happy to get a new member in our team to help us. Our new intern Andy has presented his progress on developing a database for storing and query-based retrieval of the project data.
In addition, we are looking at possibilities to use AI to analyse the huge amount of video data we have. For example, how do we recognise the features of group interactions relevant for exploring regulated learning processes. Stay tuned for exciting news! :-)
As a final note, a lot more candies and many many cups of coffee to be consumed in the following months :D
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