If you do research in the field of learning science there is almost certainly one point in which you realise how difficult is to model and describe a learning process. Among the human cognitive processes, learning is definitely one of the most complex and fascinating, as it encompasses several dimensions including as motivation, knowledge, emotional states.
On my way back from the 14th Technology Enhanced Learning summer school 2018 (JTELSS), I am collecting my thoughts on the last summer school experience in Durrës, Albania. It was the third Technology Enhanced Learning summer school in which I participated and certainly, the experience was different from the previous ones.
The beautiful city of Sydney hosted the 8th international conference of Learning Analytics 2018 (LAK'18). There with my colleagues of OUNL and DIPF, we brought our contributions to the research community.
This year my main contribution constituted in the organisation of Multimodal Data Challange at the Learning Analytics Hackathon. Together with my colleagues Jan Schneider (DIPF) we brought our approach to capturing, storing, analysing, annotating and exploiting multimodal data. The challenge was introduced by the info document of the Hackathon, as well as the 3-pages submission for the LAKHackathon submission Multimodal challenge: analytics beyond user-computer interaction data.
On the 14th December 2017, during the (y)OUr day organised by the Open Universiteit I was invited to prepare a pitch of 3 minutes about my research. Here is what I said.
My name is Daniele Di Mitri and I am PhD candidate at the TELI department of the Welten institute. My field of research is learning analytics. The Open Universiteit is a distance university that provides its education online. With Learning Analytics it is possible to collect the user-interaction events, analyse these data and provide more personalisation opportunities to the students. Continue reading