Professor Matti Tedre
Matti’s current research interests involve computer science education, ICT4D, educational technology, and the philosophy of computer science. He is the author of Science of Computing: Shaping a Discipline (CRC Press / Taylor & Francis) and Computational Thinking (The MIT Press, with Peter J. Denning).
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Professor Markku Tukiainen
Markku’s research interests include interactive technologies, computing education, Human-Computer Interaction, and learning environments.
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Dr. Jarkko Suhonen, Research Manager, Docent
Jarkko’s research interests are related to online and blended learning in higher education, design research in educational technology, computing education, and ICT4D. He has published over 100 peer-reviewed articles in scientific journals, conferences, workshops, and chapters of books. Jarkko is the coordinator of the IMPDET online doctoral study programme and supervisor of several doctoral students in the Technologies for Learning and Development research group.
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Dr. Ilkka Jormanainen, Senior Researcher, Docent (University of Turku)
Ilkka’s major research fields are computational thinking, educational data mining, educational robotics, technology education in K-12 settings, as well as ICT for Development. He has been leading the ICT for Education in Eritrea project, funded by the Finnish Ministry of Foreign Affairs through the HEI-ICI capacity building program. He has been involved in several EU initiatives, for example, CONSTRUIT! and TACCLE3 (Erasmus+ KA2), as well as in eCraft2Learn H2020 projects. Furthermore, he has been playing an active role in the development of the annual SciFest science and technology festival at Joensuu. Ilkka has gained teaching, research, and project administration experience from several international collaboration initiatives from a number of European and African countries, for example, Eritrea, South Africa, Namibia, Nepal, Tanzania, Zambia, and Mozambique.
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Dr. Mohammed Saqr, Senior Researcher
As a computer science researcher, Mohammed’s research interests are interdisciplinary and include learning analytics, network science and analysis, education, computer science, assessment, neurology, and psychiatry. He did his PhD at Stockholm University (Sweden) in collaborative predictive learning analytics using network indicators to find a better understanding of the learning process and success. He also works on the temporality of collaborative networks, engagement in small groups, statistical network modeling, resilience, and robustness of learning and social networks. Other research work includes psychological networks, migraine, depression, cerebrovascular reactivity.
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Dr. Nicolas Pope, Post-doc Researcher
Nicolas has joined our team under a research grant from the Finnish Cultural Foundation. The project is to address the scalability and quality of real-time 3D video capture to support a richer sense-of-presence for artistic performances and learning. He received his PhD at the University of Warwick, UK, for work relating to end-user software engineering and Empirical Modelling. His research interests are primarily in end-user-programming, naturalistic programming languages, and 3D reconstruction. Alongside the work at UEF, he is investigating the impact of immersive 3D video on social presence in schools with the University of Turku as part of an Academy of Finland project. He also works part-time as a Senior Software Engineer, leading projects to create web applications for various clients.
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Dr. Tapani Toivonen, Lecturer
Tapani’s research focuses on explainable AI (XAI), educational data mining (EDM), and AI in education. Tapani is especially interested in transparency of predictive models and how to develop models that would be both accurate and transparent. Tapani is also interested in human — algorithm collaboration in data mining, of which Tapani did his PhD.
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MSc. Friday Agbo, Early Stage Researcher
Fred’s research focuses on designing and developing smart learning environments for programming education using VR/AR technology. He is specifically focused on developing learning environments grounded in experiential learning theory and game-based learning for a 21st-century learning experience.
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MPhil. Samuel Yigzaw, Early Stage Researcher
Samuel’s research interest is in designing and developing a technology-enhanced collaboration platform for research and teaching-learning in developing countries’ higher education, which also addresses prevailing challenges in the local contexts beyond the technology tools and capabilities. He is currently working on the “Vauhtia uralle” project which aims to provide flexible paths to the skills needs of working life, mainly for young graduates. He is also representing UEF in the new Erasmus+ project called ‘TRUE – Transparency of Learning Outcomes through Blockchain Technology’ a consortium project of 8 European Institutions from the academia and the technology industry.
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MSc. Ismaila Sanusi, Early Stage Researcher
Ismaila is currently studying how to teach the basics of machine learning in K-12 settings. His research interest is democratizing machine learning and artificial intelligence through K-12.
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MSc. Ramy Elmoazen, Early Stage Researcher
Ramy’s research interest is developing computer-supported collaborative learning and learning analytics including social network and epistemic network analyses in medical education. He is also interested in biostatistics and bioinformatics and their application. He is currently working on the project of European Network for Virtual lab & Interactive SImulated ONline learning (ENVISION) which aims to develop e-learning modules and enhance Bioscience students’ meta-skills through virtual learning collaboration.
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