Although my field of study is computer science and artificial intelligence, I am conducting my doctoral studies in a (soon to become) Faculty of Education while my field of expertise is Multimodal Learning Analytics. In this field, the Human component has always been of highest relevance. In the prototypes we developed it is typically a human that uses the developed systems, as well as the human (e.g. teacher or learner) is the subject of investigation. Continue reading
Last week I was off to Macau, China for attending IJCAI 2019 one of the world top level conferences in Artificial Intelligence. In particular, I was invited to submit and attend the pre-conference workshop AI & Multimodal Analytics for Education (AIMA4EDU). I also attended another workshop on Human Activity Recognition, a Tutorial on TensorFlow2.0 and some the main conference presentations.
This journal article, the fourth and main experiment of my PhD thesis was published in gold Open Access in the MDPI Sensors journal as part of the Special Issue Advanced Sensors Technology in Education by Daniele Di Mitri,Jan Schneider, Marcus Specht and Hendrik Drachsler
This study investigated to what extent multimodal data can be used to detect mistakes during Cardiopulmonary Resuscitation (CPR) training.
The University of Poznan, in Poland venue of AIME'19.
The end of June 2019 I decided to attend Artificial Intelligence in Medicine (AIME'19)