We analysed the data from OULAD dataset using Markov chains in order to model student drop-out based on their behaviour in Virtual Learning Environment.
I am postdoc researcher at Czech Technical University in Prague. Since completion of my Ph.D. in Biomedical Signal Processing using Blind Source Separation methods I am focusing on Educational Data Mining and Learning Analytics research. This switch was caused by professor Zdenek Zdrahal from Knowledge Media Institute (Open University) who invited me to work with him on Data Mining of student data in project OU Analyse. When I returned from my 4-year long research stay in England I decided to stick with this topic and thanks to the support of CIIRC (institute I am working at), I was able to submit a grant application and received funding for continuing my research at the Czech Republic.
PhD in Artificial Intelligence and Biocybernetics, 2013
Czech Technical University in Prague
MSc in Biomedical Engineering, 2009
Czech Technical University in Prague
BSc in Cybernetics and Measurement, 2007
Czech Technical University in Prague
We analysed the data from OULAD dataset using Markov chains in order to model student drop-out based on their behaviour in Virtual Learning Environment.
Finally, after days of struggling with bureaucracy, I managed to find enough time to complete my first blogdown
project - my personal academic webpage! I must admit it blogdown
is awesome and the way Hugo works is brilliant.
Student Analyse is project supported by Grant Agency of Czech Republic. It aims at discovery of various ways to explore the student behaviour during their path throught higher education process and using the obtainedknowledge to better predict student success. Those students who might be at risk are then supported with additional help delivered via teaching staff.
OU Analyse is a project piloting machine-learning based methods for early identification of students at risk of failing. All students with their risk of failure are available weekly to the course tutors and the Student Support Teams to consider appropriate support. The overall objective is to significantly improve the retention of OU students.