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Irene-Angelica Chounta
Computer Science and Applied Cognitive Science, University of Duisburg-Essen
Germany
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Brief Bio
Irene-Angelica Chounta holds a Professorship on Computational Methods in Modeling and Analysis of Learning Processes in the Department of Computer Science and Applied Cognitive Science, University of Duisburg-Essen and she is the Head of the research group colaps (https://www.uni-due.de/colaps/). Her research focuses on computational learning analytics (LA) for technology-enhanced learning (TEL), artificial intelligence in education (AIED) and educational technologies. Her main research interest is to model learners’ behavior in order to provide evidence-based, adaptive and personalized feedback, in a variety of
contexts: from intelligent tutoring systems and computer-supported collaborative learning environments to hackathons and makerspaces, in 2019, she was awarded a four-year start-up grant from the Estonian Research Council for her research on “Combining machine learning and learning analytics to provide personalized scaffolding for computer-supported learning activities”. Irene was born and raised in Athens, Greece and studied in the University of Patras. She has lived and worked in Germany (University of Duisburg-Essen), USA (Carnegie Mellon University) and Estonia (University of Tartu). Currently, she serves as a Communications Co-Chair for the International Society of the Learning Sciences (ISLS), and she is an active member of the International Artificial Intelligence in Education Society (IAIED), and the Society for Learning Analytics Research (SoLAR).
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Bruce M. McLaren
Carnegie Mellon University
United States
http://www.cs.cmu.edu/~bmclaren
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Brief Bio
Bruce McLaren is a associate research professor at Carnegie Mellon University (USA). He is passionate about how technology can support education and has dedicated his work and research to projects that explore how students can learn with Internet-based educational software. He is particularly interested in intelligent tutoring systems, e-learning principles and collaborative learning and technology for supporting and analyzing collaborative argumentation. He has approximatey 200 publications spanning peer-reviewed journals, conferences, workshops, symposiums and book chapters. He has a Ph.D. and M.S. in intellige
nt systems and an M.S. in computer science from the University Of Pittsburgh (USA), as well as a B.S. (cum laude) in computer science from Millersville University.
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Jelena Jovanovic
University of Belgrade
Serbia
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Brief Bio
Jelena Jovanovic is a Professor at the Department of Software Engineering, University of Belgrade, Serbia. She is also an Adjunct Professor in the Centre for the Science of Learning & Technology (SLATE) at University of Bergen, Norway, and an Adjunct Professor in the Centre for Learning Analytics at Monash (CoLAM), Monash University, Australia. Her current research focus is on the use of computational approaches, including statistical and machine learning methods and techniques, network analysis, and text analytics, towards better understanding and supporting learning, primarily self-regulated learning in higher
education settings. She has published numerous papers in high-ranked international peer-reviewed journals and conferences. She is Associate Editor of IEEE Transactions on Learning Technologies and Editorial Board member of Journal of Learning Analytics, Journal of Educational Data Mining, and Computers & Education: Artificial Intelligence.
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Oleksandra Poquet
Technical University of Munich
Germany
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Brief Bio
Not Available
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Alejandro Ortega-Arranz
Universidad de Valladolid
Spain
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Brief Bio
Alejandro Ortega-Arranz received his Ph.D. degree in telecommunications engineering from Universidad de Valladolid (Spain), in 2021. Currently, he is Assistant Professor at the Computer Science Department of the University of Valladolid (Spain), and an active member of the GSIC-EMIC Research Group. GSIC-EMIC aims at improving the teaching and learning educational processes scientifically, and Alejandro’s main research interests include ubiquitous, hybrid, and game-based learning, targeting both educators (how can technology support the design, implementation, and enactment of such educational approaches), and stu
dents (which are the derived perceptions and effects of using such educational approaches). He has been involved in various projects with European, national, and regional funding. He is also member of the European Association of Technology-Enhanced Learning, being Poster & Demo Chair or Doctoral Consortium Chair in the last three European Conferences on Technology-Enhanced Learning.
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Olga Viberg
KTH Royal Institute of Technology
Sweden
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Brief Bio
Olga Viberg is associate professor in Media Technology with specialization in Technology-Enhanced Learning at the School of Electrical Engineering and Computer Science at KTH.
Viberg's research includes a focus on the learning analytics in higher education, the application of mobile technology in l education, integration of formal and informal learning environments, design for learning, self-regulated learning, , cross-cultural research and responsible use of student data in education, focusing on the issues of privacy and trust.
She has served as the keynote speaker at several prestigious internation
al conferences and also contributed to the UNESCO policy work on quality of online education, Viberg has served as the PC chair for Learning@Scale 2023 and ECTEL 2023 conferences. She serves as the Editor-in-Chief of the International Journal of Learning Analytics.
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