University of Münster
(Germany)
Lisa Birk
Lisa Birk (born in 1995) is a phD student and research assistant at the University of Münster. In 2021, she finished her studies in primary school education for the subjects German, English and Mathematics. Since then, her work has focused on the role of contextual knowledge in early statistical thinking and its relation to the development of early critical thinking.
Daniel Frischemeier
Daniel Frischemeier (born in 1984) has been immersed in mathematics and statistics education since 2009. He earned his Ph.D. in mathematics education from the University of Paderborn in 2016 and currently serves as professor for mathematics education at the University of Münster since 2021. His research primarily focuses on fostering statistical thinking with digital resources across different age groups, leveraging qualitative methods to understand cognitive processes of learners. Daniel actively contributes to professional associations like the International Statistical Institute (ISI) and the International Association for Statistical Education (IASE), serving on committees and editorial boards. Additionally, he leads various topic working groups for conferences like CERME, ICME of ICOTS and has a track record of successfully managing projects funded by Erasmus+ and BMBF, including DataSETUP and PINGU, aimed at enhancing early statistical and computational thinking in mathematics education at the primary level.
European University Cyprus
(Cyprus)
Yianna Danidou
Yianna is an Assistant Professor in Cybersecurity at European University Cyprus (EUC). She has long teaching experience in Cybersecurity and Computer Science related topics, and along with academic teaching, she has been engaged in research, and particularly EU funded research programs through CERIDES, where she is a Research Associate for the last 7 years. Recently, CYBER.EUC cybersecurity competence center has been established and she serves as the director.
Her main field of interest lies in cybersecurity education; the interaction between law, science and computer technologies specifically cybercrime and cybersecurity; forensics and crime prevention; electronic evidences; trust and reliance liability and ethical issues raising from technology. She has published a number of journal articles in peer-reviewed journals; and she has attended a number of conferences and seminars both as a participant and as a presenter.
Maria Meletiou-Mavrotheris
Maria Meletiou-Mavrotheris is a Professor of Mathematics Education at EUC, Director of the ICT-Enhanced Education Laboratory, and coordinator of the MA in Technologies of Learning & Communication and STEAM Education. Engaging extensively in research, she has led and/or participated in a large number of multinational projects funded by the European Union. These projects focus on the educational applications of new and emerging technologies in mathematics, statistics, and STEM/STEAM teaching and learning.
Ioulia Televantou
Dr. Ioulia Televantou is a Lecturer in Quantitative Research Methods in the Social Sciences. She earned a BSc in Pure Mathematics from the University of Cyprus, an MSc in Applied Statistics from Oxford University, another MSc in Educational Research Methodology from Oxford University, and a DPhil in Education from Oxford University. Her research interests lie in the application of quantitative research methods to study students’ affective and motivational outcomes in their learning of mathematics and statistics. Ioulia has received several awards and grants,and has published in major scientific journals such as SESI, the Journal of Educational Psychology, and Learning & Instruction.
University of Paderborn
(Germany)
Susanne Podworny
Susanne Podworny is a PostDoc at the University of Paderborn. She has been working and researching in the field of statistics and data science education since 2008. She received her Ph.D. in 2018 and has also been working in the Project Data Science and Big Data in Schools (ProDaBi) since then, since 2022 as Managing Director. Her research interest is in the area of digital tools for data science, for example how to make data science easily accessible for young learners with the tools CODAP or TinkerPlots. She also develops teaching materials to introduce machine learning methods such as decision trees to young learners.
National and Kapodistrian University of Athens
(Greece)
Dionysia Bakogianni
Dr. Dionysia Bakogianni is NKUA’s Instructor and Research Fellow since 2019. She received her first degree in Mathematics from the NKUA, she has a Master degree in Financial Mathematics, and she has a PhD in Mathematics Education from the NTUA (2019). Her research interests are in the areas of secondary mathematics teachers’ professional development and particularly in teachers’ practices and teachers’ use of teaching resources with a special interest in teaching and learning of Statistics.
Despina Potari
Despina Potari has got her first degree in Mathematics from the National and Kapodostrian University of Athens, Greece in 1982 and her PhD in Mathematics Education from the University of Edinburgh in 1987. She worked at the Education Department of the University of Patras from 1989 to 2008 and since 2008 she has been working at the Mathematics Department of the National and Kapodostrian University of Athens. She has been a visiting professor at several universities in Europe and in the US. Her research interest is on the development of mathematics teaching and learning and teacher development. She has been a chief editor of the Journal of Mathematics Teacher Education (2017-2023), member of editorial boards and teams and reviewer for international journals and conferences. She has also been involved in EU projects focusing on STEM teacher education
Chrissavgi Triantafillou
Chrissavgi Triantafillou has studied Mathematics at the National and Kapodistrian University of Athens, Greece. Her master’s degree was in Mathematics at the York University in Toronto, Canada and she had received her PhD in Mathematics Education in 2010 from the Department of Primary Education at the University of Partas, Greece. Since 2017 she is Assistant professor in Mathematics Department of NKUA. Some of her current research interests are on inclusion, differentiation, assessment and on teaching environmental l issues). She was involved in teacher education activities in the context of six European funded projects: Mascil, IncluSMe, Formas, Educate, ENSITE and ICSE Academy.
Mary Immaculate College Limerick (Ireland)
Aisling Leavy
Aisling Leavy is Professor of STEM Education and Head of the STEM Education Department at Mary Immaculate College, University of Limerick. Her research interests include statistics education, the development of statistical reasoning, the mathematics preparation of pre-service teachers, and use of teaching and research methodologies (such as Lesson Study) to support the development of conceptual understanding of mathematics in primary classrooms.
Middle East Technical University (Türkiye)
Sibel Kazak
Sibel Kazak is an associate professor of mathematics education at Middle East Technical University (METU) in Ankara. Her main research interests include the use of technology in teaching and learning of probability and statistics, pre-service/in-service teachers’ knowledge about statistics and probability, and data science education. She was a Marie Skłodowska-Curie Research Fellow at the University of Exeter, UK, with a project called STATSTALK (Studying the Development of Young Students’ Conceptual Understanding in Statistics through Mediation by Technological Tools and Talk) in 2012-14. She was also one of the three lead researchers within the Strategic Partnership for Innovation in Data Analytics in Schools (SPIDAS) Project funded by ERASMUS+ Programme to promote teaching of data analytics in schools (2017-20).