Multimodal Data for Learning
I am on the review board for this special call for papers on "Multimodal Data for Learning" for the Journal of Computer Assisted Learning (JCAL). The special issue deals with new data sources coming from the Internet of Things (IoT), wearables, eye-trackers and other camera systems, self-programmable microcomputers such as Raspberry Pi and Arduino. How can these multimodal datasets that combine traditional learning data with different data from physical activity, physiological responses or contextual information be exploited for learning?
I just joined the SHEILA project network as an Associate Partner. SHEILA stands for "Supporting Higher Education to Integrate Learning Analytics". It's goal is to aid policy making in HEIs at management level to reap benefits from Learning Analytics. A policy framework covering codes of practices, privacy and ethics, as well as quality assurance will be the core outcome. This is very interesting for me as I aim to implement LA in my university.
Widening Access strategy group
I am part of a national group of experts and stakeholders that intends to develop a widening access strategy for the Austrian higher education sector. It is interesting to think about the existent diversity that makes up the fabric of HE students these days.
I have once again joined the IADIS ICEduTech Programme Committee for the fourth time running. The conference will be held 6 - 8 December 2016 in Melbourne, Australia. You can find the call for papers here.
Best paper award LAK16
I am very happy that our presentation "Ethics and Privacy in Learning Analytics - a DELICATE issue" at this year's Learning Analytics conference in Edinburgh (LAK16) got awarded best paper award out of more than 280 submissions! The presentation is online available from Slideshare.