The scientific program comprises one keynote lecture and four 45-minute long plenary lectures by invited speakers to be followed by a 15-minute discussion.
Keynote
Professor Gabriele Kaiser (University of Hamburg, Germany; Nord University, Bodø, Norway)
Plenaries
Professor Kimmo Ericsson (Mälardalen University College, Sweden)
Professor Daniel Orey (Federal University of Ouro Preto, Brazil)
Associate Professor Serife Sevinc (Middle East Technical University, Turkey; T.U. Dresden, Germany)
A fourth dual plenary on the topic AI and mathematical modelling education – challenges and opportunities will be given jointly by Senior Lecture Kerri Spooner (Auckland University of Technology, New Zealand) and Associate Professor Takashi Kawakami (Utsunomiya University, Japan).
Panel discussion
A panel discussion moderated by Professor Pauline Vos (Western Norway University of Applied Sciences, Norway) with invited speakers (to be announced) of approximately 45 minutes, followed by a 30-minute discussion. The participating panellists are:
Professor Marcelo C. Borba (State University of São Paulo, Brazil)
Professor Vince Geiger (Australian Catholic University, Australian)
Associate Professor Britta Eyrich Jessen (University of Copenhagen, Denmark)
Professor Hans-Stefan Siller (Universität Würzburg, Germany)
About the invited speakers
Professor Doctor Vince Geiger
Professor Doctor Vince Geiger is the Research Director of the STEM in Education Program in the Institute of Learning Science and Teacher Education at Australian Catholic University. His work is situated in an interdisciplinary research space focused on the enabling and transformative role of mathematics within the STEM disciplines and other areas across the curriculum. This work, including over 150 peer reviewed publications, is driven by an understanding that the capacity to know and use mathematics confidently when addressing real-world problems is key to the empowerment of critically informed citizenship – the foundation for personal well-being and cohesive socially just societies. His contributions to research in STEM education are motivated by an awareness that capability in this space is vital for an individual's career prospects and the prosperity of nations.
Vince’s research interests include mathematical modelling education, critical mathematical thinking, numeracy, and the role of digital resources in supporting mathematical teaching and learning. His research has attracted over $7 million (AUD) in research funding both nationally and internationally and includes the projects: Enabling students’ critical mathematical thinking (Australian Research Council); Using mathematics to solve real world problems – The role of enablers (Australian Research Council), Principals as STEM Leaders (Department of Education and Training), Strengthening teachers’ instructional capabilities with Big Data (Australian Universities-German DAAD Joint Research Cooperation Scheme).
Most recently he is contributing to the DASME (Data Science in Mathematics Education) project, funded by the Novo Nordisk Foundation and led by Associate Professor Britta Jessen at the University of Copenhagen.
Vince’s research awards include the role of Giovani Prodi Professor at the University of Wurzburg and a Mathematics Education Research of Australasia (MERGA) Research Award. He is the current President of the International Community of Teachers of Mathematics and Applications, a Past President of the Australian Association of Mathematics Teachers, Editor-in-Chief of Mathematics Education Research Journal (Scopus med% 8); Editorial Board Member for the International Journal of Science and Mathematics Education, member of the Numeracy Expert Group for the 2nd Cycle of the Programme for International Assessment of Adult Competencies, and a member of the International Organising Committee for the International Commission for Mathematics Instruction Study-27 on mathematics education and the socio-ecological.
Professor Gabriele Kaiser
Gabriele Kaiser holds a master’s degree as a teacher for mathematics and humanities for lower and upper secondary level. She completed her doctorate in mathematics education in 1986 with a study on applications and modelling supervised by Werner Blum. The thesis war covering theoretical aspects such as an analysis of the historical and the recent discussion on applications and modelling as well as empirical aspects, namely the possibilities of this kind of examples in mathematics teaching. These research works were extended in new projects on modelling in mathematics teaching together, amongst others with colleagues from the mathematics department.
International comparison in mathematics teaching is one of the main fields of research of Gabriele Kaiser and therefore became the subject of her post-doctoral study, which comprised a comparative study on mathematics teaching in England and Germany.
Since 1998, she is full professor for mathematics education at the Faculty of Education of the University of Hamburg. Her areas of research are empirical studies on teacher education and teachers’ professionalism, modelling and applications in school, international comparative studies, gender and cultural aspects in mathematics education. She was convenor of the 13th International Congress on Mathematical Education, which took place in Hamburg in 2016 with more than 3500 participants. Forty books have come out in the frame of this congress edited by her.
Gabriele Kaiser’s most recent projects deal with teacher education, partly under an international perspective starting from the IEA Teacher Education Study in Mathematics (TEDS-M) on the efficiency of teacher education in various countries at primary and secondary level. Several follow-up studies – with Sigrid Blömeke and Johannes König – have been carried out in the frame of longitudinal studies and studies integrating knowledge and teacher noticing. A most recent study focuses on inclusive mathematics education and teacher professionalism
Gabriele Kaiser has been directing the large-scale project ProfaLe “Professional Teacher Action for Promoting Subject-based Learning under Changing Societal Conditions“ within the framework of the „Quality Campaign for Teacher Education“, which has focused amongst other the integration of subject teaching and teaching of mathematics education, the integration of the perspective of inclusion and language within teacher education. The project lasted from 2015 to 2023.
From 2005 to 2024 she has been the editor-in-chief of the high-ranking journal ZDM –Mathematics Education, which is since 2020 in SSCI. From 2025 onwards, she serves as associate editor. In addition, she is editing several book series at national and international level amongst others International Perspectives on Mathematical Modelling. From 2007 to 2011 and from 2019 to 2023 she has been president of the ICMI affiliate group “The International Community of Teachers of Mathematical Modelling and Applications” (ICTMA). From 2017 to 2021 she was a professorial fellow at the Institute for Leaning Sciences and Teacher Education at the Australian Catholic University in Brisbane (Australia), where she holds currently an honorary professorship. In addition, she holds an honorary professorship at the Educational University Hong Kong. Furthermore, since 2022 she serves as professor II at Nord University in Bodø (Norway).
Professor Kimmo Ericsson
Kimmo Eriksson is a professor of mathematics at Mälardalen University, Sweden, and a researcher at the Institute for Futures Studies. He is also the chairperson of the Global Social Norms research network (globalsocialnorms.org).
Kimmo received his PhD degree in mathematics from the Royal Institute of Technology in 1993, starting his academic career as an algebraic combinatorialist. He later branched out into game theory, mathematical statistics, cultural evolution, social psychology, sociology, and mathematics education, and in 2018 he obtained a second PhD degree in social psychology from University of Kent.
In his mathematics education research he has mainly analyzed data from TIMSS and PISA, often focusing on how within-country differences (e.g., by gender or socioeconomic status) vary between countries.
His main current research interest is to understand how and why moral opinions and social norms vary across space and time, using cross-national surveys and mathematical models of cultural evolution.
Professor Daniel Orey
Daniel Clark Orey, Ph.D. is Professor Emeritus of Mathematics and Multicultural Education at California State University, Sacramento.
He has taught and lived in Oregon, Brazil, Guatemala, Mexico, Nepal and the United States.
He is a Fulbright Senior specialist with experiences at the Pontifical Catholic University of Campinas in Brazil (1998) and at Kathmandu University in Nepal (2007).
He is currently professor of mathematics education in the Department of Mathematics Education and serves in the Post-Doctoral Academic Masters and Doctoral Program in Mathematics Education at the Universidade Federal de Ouro Preto, Brazil.
Associate Professor Serife Sevinc
Serife Sevinc (Şerife Sevinç; in her native language) is a mathematics education researcher and teacher educator who has worked at universities in Germany, Turkey, and the United States. She is currently an Associate Professor of Mathematics Education at Middle East Technical University, Türkiye, and a Postdoctoral Research Associate in the Department of Primary Education/Mathematics Education at Technische Universität Dresden (TU Dresden), Germany.
Dr. Sevinç earned her Ph.D. in Curriculum and Instruction with a specialization in Mathematics Education, as well as a minor Ph.D. in Inquiry Methodology, from Indiana University Bloomington, U.S.A. Her doctoral research, supervised by Prof. Richard Lesh, focused on the nature of pre-service teachers' knowledge in designing modeling problems and pre-service teachers' conceptions of problem characteristics that facilitate the modeling process. Through this work, she has made significant contributions to the field of mathematics education, publishing theoretical and empirical studies in prestigious international journals. Additionally, she has served as a reviewer for several leading mathematics education journals.
Her research interests center on students' and pre-service teachers' mathematical thinking in problem-solving and problem-posing processes, with a particular focus on mathematical modeling. She continues to investigate how the modeling process enhances students' and teachers' conceptual understanding of mathematics, as well as the knowledge required by pre-service teachers to design modeling problems. Her involvement in several international projects has enabled her to collaborate with esteemed colleagues in the U.S.A. and Europe. These projects range from exploring young students' experiences with mathematical modeling to examining cognitive and intercultural aspects of the modeling process among prospective mathematics teachers, contributing to cutting-edge advancements in the field.
In recent years, Dr. Sevinç has been an active member of the ICTMA (International Community of Teachers of Mathematical Modelling and Applications) community, regularly participating in its conferences and contributing to the ICTMA series books by publishing chapters, each highlighting significant aspects of mathematical modeling. She is also an active participant in the CERME (Congress of European Research in Mathematics Education) community, attending conferences, publishing in the CERME Proceedings, and serving as a co-leader of TWG6: Applications and Modelling at CERME14.
Beyond her research and academic contributions, Dr. Sevinç is deeply committed to advancing the field of mathematics education, particularly the modeling community. She achieves this through publishing research reports, practitioner articles, book chapters, and conference proceedings; organizing teacher training workshops; designing mathematical modeling courses for prospective teachers; and supervising master's theses and doctoral dissertations.
Associate Professor Takashi Kawakami
Takashi Kawakami is an Associate Professor of Mathematics Education at the Cooperative Faculty of Education, Utsunomiya University, Japan.
Born in 1983, the same year as ICTMA-1, he began his teaching career as a private primary school teacher after earning a master’s degree in Education from Chiba University (Japan) in 2008. In 2013, he transitioned to academic research as a full-time lecturer at Nishikyushu University (Japan), where he contributed to the training of kindergarten and primary school teachers and conducted research on mathematics and statistics education. Since 2017, he has imparted mathematics and statistics education to primary and secondary mathematics teachers at the Utsunomiya University. In 2023, he earned a Ph.D. in Education from Hyogo University of Teacher Education (Japan).
Takashi Kawakami’s research interests include mathematical modelling, statistics and data science education, STEM education, and mathematics teachers’ professional learning. His research began with mathematical modelling education in primary and secondary schools, which was the subject of his master’s thesis. His current primary focus is exploring the intersection of mathematical modelling and statistics/data science education using conceptual and empirical approaches.
In terms of the conceptual approach, he has been systematically reviewing the research literature on data-based modelling in statistics and mathematics education with Jonas Bergman Ärlebäck. In terms of the empirical approach, Takashi Kawakami’s doctoral thesis explored primary and secondary school students’ flexible use of mathematical/deterministic and statistical/stochastic reasoning to make informed predictions and decisions when modelling data-rich situations. More recently, in collaboration with Akihiko Saeki and other colleagues, Takashi Kawakami extended this work to initiatives that promote data-informed interdisciplinary modelling as a part of STEM education and data-informed sociocritical modelling as a component of citizen education.
Takashi Kawakami’s research was supported by grants from the Japan Society for the Promotion of Science and the CASIO Science Promotion Foundation. He has received several awards, both in Japan and overseas, including the Highly Commended Award for an Early Career Researcher at the 10th International Conference on Teaching Statistics (ICOTS-10) in 2018, the Excellent Paper Award from the Japan Society for Science Education, the Excellent Paper Award from the Mathematics Education Society of Japan, and the Utsunomiya University President’s Special Award.
Takashi Kawakami has contributed to international and national academic conferences. He has been actively involved in ICTMA conferences since 2013. He served on the Local Organising Committee for ICTMA-21 in Japan. He participated in the Survey Team “Statistics and Data Science Education as a Vehicle for Empowering Citizens” at ICME-15 in 2024. He reviewed the common discourse between research on mathematical modelling education and statistics/data science education. Since 2014, Takashi Kawakami has served as an organiser or co-organiser of thematic sessions on mathematical modelling education at the annual conference of the Japan Society for Science Education (JSSE). He is currently a board member of the JSSE and the guest editor-in-chief of a special issue of a JSSE journal focused on data science education.
Professor Marcelo C. Borba
Marcelo C. Borba is a Professor of the Graduate Program in Mathematics Education and of the Mathematics Department at UNESP (State University of São Paulo) in Brazil, where he chairs the research group GPIMEM (Research Group of Informatics, other Media and Mathematics Education).
Marcelo researches the use of digital technology in mathematics education, mathematical video produced by teachers and students, online distance education, modeling as a pedagogical approach, videos and ethnomatematics and qualitative research methodology.
He was an Associate Editor of ZDM, The International Journal of Mathematics Education between 2011 and 2023 and he was, from 2018 to 2022, the chair of the Teaching Committee of CAPES, a funding agency of the National Ministry of Education in Brazil. He is currently leading a project of CAPES-PrInt that promotes internationalization of research in technology in mathematics education in Brazil.
He was a Keynote speaker at PME-44 (Psychology of Mathematics Education Study Group), Thailand-Virtual (2020); at Plenary Panel of ICME 14 (International Congress of Mathematics Education), held in a hybrid format in China (2021); and at ICM-22 (International Congress of Mathematicians), which was originally scheduled to take place in Russia but was held virtually (2022).
He published around 20 books in English, Portuguese and Spanish, and more than a hundred papers in these three languages. Maybe more importantly, he is actively involved in planting trees within reforestation projects!
Associate Professor Britta Eyrich Jessen
Britta Eyrich Jessen is an associate professor at University of Copenhagen. Her research concerns mathematical modelling, digital technologies in modelling education, interdisciplinarity and curriculum analyses linked to modelling application. Lately her research interests have moved towards statistical modelling and data science, and she plans to explore potential mergers between those domains. For this purpose, she has secured funding for the research project DASME – Data Science in Mathematics Education running July 2025 - December 2028.
Most often she works with tools and notions from the Anthropological Theory of the Didactics such as Study and Research Paths, as well as Herbartian schema. This allows her to focus on practices and reasoning linked to students’ engagement with modelling activities.
Her work mainly focuses on upper secondary education, and professional development of teachers at this level through lesson study and similar activities. She teaches and supervises pre-service and in-service teachers and is responsible for a course on “the mathematically modelling science” at the masters’ program on STEM education. She is a co-leader of the TWG06 on modelling and application at CERME.
Before her research carrier, she was an upper secondary teacher in mathematics and physics.
Professor Pauline Vos
Pauline Vos, PhD (2002), is a Professor of Mathematics Education at the Western Norway University of Applied Sciences (HVL), in the city of Bergen.
She leads theoretical research into the why, when and how of using/learning what type of mathematics by which students/users, and practical research into the design of learning trajectories that deviate from deductive, teacher-centered approaches.
She builds on earlier experiences as mathematics teacher and teacher educator in The Netherlands, Zimbabwe and Moçambique. She has contributed to many past ICTMA conferences from ICTMA12 in London (2005) onwards.
To complementing her interest in mathematical modeling, she also has an interest in mathematical literacy and vocational mathematics.
Within the Congress of the European Society for Research in Mathematics Education, she leads the Thematic Working Group "Mathematics Education for Work, Society and Personal Development".
Dr. Kerri Spooner
Dr. Kerri Spooner is a senior lecturer in the Department of Mathematical Sciences at Auckland University of Technology (AUT), New Zealand. Her academic journey is marked by her dedication to mathematics education. She holds a Doctoral degree in Tertiary Mathematical Modelling Education from AUT and a Master's degree in Secondary School Mathematical Modelling Education from the University of Auckland.
Kerri’s journey into mathematical modelling began in 2002 when she attended her first Mathematics in Industry Study Group (MISG) while working as a secondary school mathematics teacher. This experience sparked her interest in mathematical modelling and led her to participate in several MISGs and Mathematics in Industry New Zealand (MINZ) workshops. Kerri further developed her modelling skills by completing two tertiary modelling courses. These courses deepened her understanding of the mathematical modelling cycle and differential equations, equipping her with the skills to create mathematical models for various situations.
In 2011, Kerri worked as part of a professional mathematical modelling team. This experience, along with her participation in MISGs and MINZs, and her study in modelling, provided her with first-hand knowledge of professional modelling behaviours and their complexities. This awareness influences her teaching approach, aiming to create authentic and engaging modelling experiences for her students.
Kerri’s experiences with mathematical modelling, as well as her experiences as a secondary school teacher and tertiary lecturer, made her aware of the challenges students can face when modelling. She emphasizes the importance of being open to new contexts and ideas, learning new mathematics, and working collaboratively. She uses insights from her own experiences of modelling to inform her teaching and research, always striving to be open to new modelling behaviours presented by her students.
In 2012, encouraged by research showing that students as young as 13 could engage in modelling, Kerri developed and taught a holistic mathematical modelling unit for her secondary class. She aimed to provide students with an authentic experience of mathematical modelling, allowing them to engage fully with the process. She believes in the importance of students having an authentic experience of modelling that reflects professional practices. She emphasizes students’ active engagement in the modelling process, the benefits of group work, mimicking professional modelling teams, and using prompts to facilitate a successful holistic modelling experience. Kerri’s ideal way of teaching modelling involves taking genuine real-world problems and having students attempt to model them. However, she has also found students can also have valuable learning experiences modelling fictional situations.
As part of her dedication to providing students with experiences of modelling, since 2016 Kerri has overseen the New Zealand section of the International Mathematical Modelling Competition (IMMC). In 2019 and 2022 New Zealand teams have been outstanding award winners.
Throughout her career, Kerri has been recognized for her excellence in teaching, winning five teaching awards and being nominated for a national teaching excellence award. She is known for promoting active learning and student collaboration to engage students with course content and learning material. Her keen interest in successful ways to engage students in their learning drives her to attempt to create learning experiences that are authentic, engaging, and accessible.
Professor Hans-Stefan Siller
Hans-Stefan Siller is a full professor at the Chair of Mathematics V – Didactics of Mathematics at the Julius Maximilian University of Würzburg. As a professor of didactics of mathematics, his remit encompasses the didactics of the subject of mathematics in all teaching positions, (vocational) grammar schools, secondary modern schools, middle schools, primary schools and schools with special educational needs. His research and work is focused at the interface of current research in mathematics didactics, conception and mathematical topics; in recent years increasingly at the interface of mathematics, MINT, education for sustainable development, digitalization and in research on giftedness.
Following his studies in mathematics and physics at the University of Graz (Austria), he acquired practical teaching experience at Austrian grammar schools in the city and province of Salzburg. He then successfully completed his doctoral studies at the Paris Lodron University of Salzburg (Austria). From 2011, he assumed responsibility for the Austrian school system at both the research and organizational level as project manager for the central written matriculation examination in Austria and the introduction of the central written matriculation examination for mathematics at Austrian grammar schools. In 2012, he habilitated at the University of Vienna and in April of the same year accepted his first professorship at the University of Koblenz-Landau, Koblenz campus. Since October 2017, he has been conducting research as a full professor of mathematics education at the Chair of Mathematics V - Mathematics Education. In the summer semester of 2021, he was a visiting professor at the University of Semarang (Indonesia).
Hans-Stefan Siller is conducting research on various questions in the domain of mathematics education, with a particular focus on interdisciplinary research settings. His research encompasses both the traditional subjects in the teaching of mathematics, in which teaching and learning processes are examined from cognitive and affective perspectives, and the digitalization of the teaching of mathematics, including the utilization of digital tools and media, the didactic preparation of content – taking into account fundamental concepts – interdisciplinary work, and the subject of mathematical modelling. In addition to these areas, he has demonstrated a commitment to addressing significant (and emerging) challenges faced by educators, including the integration of education for sustainable development (ESD) within mathematics lessons and the utilization of artificial intelligence (AI), with a particular focus on generative AI. Since 2021, for instance, he has led the mathematics working group on the integration of education for sustainable development on behalf of the German Standing Conference of the Ministers of Education and Cultural Affairs (KMK).
In all his research fields, Hans-Stefan Siller has demonstrated a commitment to both theoretical and evidence-based research findings, which have resulted in numerous high-ranking publications. Notably, his work is strongly oriented towards third-party funding, and seeks to integrate different perspectives, as is being implemented in one of his current projects, DIM²ENSION - DIgital Supported Mathematical Modelling for Sustainable Development Goals in EurOpean EducatioN, together with colleagues.
Since 2024, he has been contributing his expertise as an editor to the Mathematics Education Research Journal (MERJ).
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