I am a Professor of Computational Methods in Modeling and Analysis of Learning Processes at the Department of Computer Science and Applied Cognitive Science at the University of Duisburg-Essen in Germany. Here, I lead the research group colaps and our research explores the use of computational methods such as Artificial Intelligence, Learning Analytics and Data Mining to model how we learn both in formal and informal learning contexts.
In April 2021, I moved to the University of Duisburg-Essen, Germany as a Junior Professor at the Department of Computer Science and Applied Cognitive Science. My work focused on computational methods for modeling and analysis of learning processes in multiple contexts including, intelligent learning environments, online learning and project-based learning.
In Tartu, I worked on using learning analytics to provide feedback and guidance to students and to scaffold learning. In particular, we focused on using student data derived from the Study Information System of the university to provide valuable information about students’ progress through teacher and student dashboards.
In Pittsburgh USA, I worked as a postdoctoral research fellow at the Human-Computer Interaction Institute at Carnegie Mellon University. There I collaborated with Bruce McLaren and Sandra Katz, Patricia Albacete and Pamela Jordan (LRDC, University of Pittsburgh) on a project that aimed to support students who learn physics with the use of adaptive tutorial dialogues. I designed a student model that evaluates the student’s understanding of the physics curriculum and adapts tutorial dialogues accordingly, with respect to content, style and language.
During my time in Duisburg as a postdoc, I worked with Prof. Ulrich H. Hoppe as a member of the COLLIDE research group. There, I focused on using learning analytics to analyze learning activities in various educational settings such as computer-supported collaborative learning environments, online labs, and MOOCs.
During my PhD research with Nikolaos Avouris at the University of Patras (Greece), I focused on human-computer interaction (HCI), machine learning and computer-supported collaborative learning (CSCL). The subject of my thesis was the use of learning analytics for the assessment of collaboration quality in CSCL activities; thereby I proposed and implemented an “automatic rater” of collaboration quality using time series analysis.
I studied Electrical and Computer Engineering at the University of Patras with an emphasis on Electronics, Processors and Computer Architecture. My diploma thesis - under the supervision of Prof. Stavros Koubias - proposed an information system for the monitoring and management of geographically distributed networks.
I received my first higher academic degree on Computer Systems Engineering at the Piraeus University of Applied Sciences (ATEI Piraeus). There, I worked with Prof. Sotiris Leventis on Computer Networks as a member of PeLAB.
I am dedicated to bridging the gap between theory and practice and to engage learners in modern, technology-enhanced learning activities for preparing the 21st century citizens for their future endeavors.
I engage in exploring data
traces and seeking patterns that provide insights about learning and are backed up by theoretical reasoning. My contributions are in student modeling and learning
Read more about my academic career, professional experience, teaching and research works in my full curriculum vitae accompanied by selected publications, short commentary and outreach experience.