IASE 2025 Satellite Conference - Statistics and Data Science Education in STEAM

Conference Website: https://www.uni-muenster.de/GIMB/en/veranstaltungen/iase/home.html

Conference Proceedings Editors: Lisa Birk, Gerrit Loth, Luca Jotzo, Karin Binder and Daniel Frischemeier

Published: 2026-02-21

Conference Dates: September 30 - October 2 2025

Conference Location: Münster Germany

Editorial

Editorial

Lisa Birk, Gerrit Loth, Luca Jotzo, Karin Binder, Daniel Frischemeier
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Keynotes

Civic statistical literacy for democratic education

Joachim Engel
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Data are everywhere – In every class and even outside of school

Andee Rubin
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Panels

Looking forward: Reflecting on the present, envisioning the future of statistics and data science education

Robert Gould, Karsten Lübke, Helen MacGillivray
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Topic 1: Harnessing STEAM Contexts to Ignite Inquiry in Statistics and Data Science

Developing statistical and data science skills in interdisciplinary scientists

Chris Brignell
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DataScEd4CiEn: Integrating data science into STEAM education for civic engagement and social justice – A case from Greece

Dionysia Bakogianni, Ioannis Malafekas
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Economics versus the environment: Promoting systems thinking, sustainability, and collaboration in a “commons” game

Tim Erickson, Laura Martignon
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Topic 2: Enhancing STEAM Education through Modelling in Statistics and Data Science

Teaching regression calibration to correct for measurement error to develop statistical thinking

Anarina L. Murillo, Avery Maytin
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Teachers’ role in promoting primary school students’ integration of mathematical, statistical, and other STEAM reasoning through data-based modelling

Takashi Kawakami, Akihiko Saeki, Shohei Chiba
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Topic 3: Advancing Educational Practices to Enhance Understanding in Statistics and Data Science

Early statistics: Introducing informal inferential reasoning through storytelling-based learning task in grades 1-3

Soledad Estrella, Alejandra Mondaca-Saavedra, Brahiam Ramírez, Maritza Méndez-Reina
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Designing and implementing data lessons in secondary education

Emily Thrasher, Michelle Pace, Bruce Graham
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Modeling equity using multiple technologies for teaching statistics with preservice teachers

Christopher Nazelli, S. Asli Özgün-Koca, Jennifer M. Lewis
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Expansion of the data moves framework to support data processing, analysis and modeling

Stephanie Casey, Gemma F. Mojica, Hollylynne Lee, Rick Hudson
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The role of dotplots in statistics education practice

Lonneke Boels, Vuslat Şeker
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Project-based learning in life sciences statistics courses: Dynamics, pitfalls, and educational gains

Anna Khalemsky, Yelena Stukalin
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Interactive oral assessment for statistical literacy

Stephanie Budgett, Leila Boyle
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Branching out data science education: Developing task and computational environment design principles for teaching data science at the high school level through an international research collaboration

Anna Fergusson, Susanne Podworny, Yannik Fleischer, Sven Hüsing, Malia S. Puloka, Rolf Biehler, Maxine Pfannkuch, Stephanie Budgett, Michelle Dalrymple
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An initial exploration of teacher integration of interactive technology in statistics education

S. Asli Özgün-Koca, Anna Fergusson
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Enhancing teachers’ TPACK for data science in STEAM education: Insights from a pilot professional development program in Cyprus

Michalis Gavrielides, Maria Meletiou-Mavrotheris, Efi Paparistodemou, Yianna Danidou, Georgia Solomonidou, Leoni Hadjithoma
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Videos as formative and summative assessment of students’ learning in civic statistics

Joachim Engel
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Data collection as a catalyst for data literacy: A concept for building Smart City gadgets at school

Verena Witte, Angela Schwering, Daniel Frischemeier
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The use of digital components in an undergraduate statistics course

Florian Ertz, Ralf Münnich
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Design of statistical projects at the school level, advances and challenges when engaging in the statistical problem-solving process

Francisco Javier Trejo Moreno, Eleazar Silvestre Castro
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Project work for a large class - Authentic assessment

Ayse Aysin Bilgin, Jaslene Huan Lin, Nazli Ersahin
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Preservice teachers’ exploration of multivariate data based on personal interests

Susanne Podworny, Lisa Birk, Sibel Kazak, Aisling Leavy
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Effects of a simulation-based training on students conceptual understanding of the Binomial test

Karin Binder, Stephan Schnaitmann, Tim Erickson
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Core ideas for teaching hypothesis testing – Structure, concepts and validation

Henrik Ossadnik, Jürgen Roth
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A design research project on fairness in data-driven algorithmic decision-making

Sarah Schönbrodt, Steffen Schneider
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Fairness in machine learning: A design research study for secondary education

Clara Müller, Katarina Bata, Martin Frank, Jasmin Hörter
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Designing for fusion in statistics education: A variation theory approach

Hanan Innabi, Per Nilsson
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Designing online professional learning to support advances in teaching strategies in statistics and data science

Hollylynne S. Lee, Gemma F. Mojica, Emily Thrasher
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Statistical tools to assess environmental risks

Laura Martignon, Jaime Martinez
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From supervised to unsupervised learning - Structuring the core components of understanding

Katarina Bata
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Topic 4: (re)Defining Literacy in the Age of Data

Integrating data literacy into teacher education: Fostering reflection and critical thinking regarding AI

Susanne Hilger, Carina Büscher
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A deep dive into statistical, data, and digital literacies: A bibliometric analysis (2000–2024)

Rosaura Fernández-Pascual, María Pinto, David Caballero, Ana Eugenia Marín Jiménez
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Fostering data literacy by engaging in data cleaning

Jakim Eckert, Sarah Schönbrodt, Martin Frank
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Statistical literacy in the age of disinformation

Ana Flávia Ferreira Pinho, Leandro de Oliveira Souza
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Critical statistics education: High school students’ experiences in statistical thinking within the context of brain drain

Gamze Kurt, Başak Özer
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Conciliating statistical and language literacy skills for the development of critical thinking and communication: Students stand up for the Brazilian biomes

Bianca Walsh, Renata Souza Bueno, Larissa de Carvalho Alves
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Advancing critical data science and statistical literacy for democratic and civic education

Olushina Olawale Awe, Joachim Engel, Florian Weber-Stein
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Integrating data science education and responsible AI in teacher training: A pilot study within STEAM-based graduate learning

Maria Meletiou-Mavrotheris, Yianna Danidou, Efi Paparistodemou, Alexandros Kofteros, Dionysia Bakogianni
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Topic 5: Innovating and Expanding the Boundaries in Statistical and Data Science Education

Quantifying the benefits to students of faking your fluency in English in recorded lectures

Karol P. Binkowski, Greg Baker
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Playful experiential approach to reasoning with evidence

Sean McCusker, James Nicholson
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Pre-service teachers’ use of eye-tracking data to diagnose students’ misinterpretations in statistical graphs

Vuslat Şeker, Lonneke Boels, Anita Alexander, Ayline Heursen, Saskia Schreiter, Wim Van Dooren, Frank Reinhold, Martin Abt, Markus Vogel
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Can code be responsible? - How to study and communicate algorithmic accountability

Henrike Weinert, Lisa-Marie Eckardt, Christina Elmer, Lisa Goldschmidtböing, Katja Ickstadt, Kai-Robin Lange
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Innovating mobile learning in statistics: Profiling university students' needs and expectations

Felipe Ruz, Francisca Ubilla, Patricio Videla, Juan Zamora, Javiera Herrera
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Investigating links between student awareness and use of generative AI tools, and student anxiety and confidence when studying statistics

Amanda Shaker, Peter K. Dunn, Karol P. Binkowski, Jo-ann Larkins, Tjun Yee Hoh, Luis. A. Sanchez A., Carol Calvert, Alun Owen, Ellen Marshall, Ben Derrick
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It’s in the wind: An opportunity for understanding epidemiological evidence

James Nicholson, Sean McCusker
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Data-based argumentation tasks in the context of climate change and primary students’ reported self-efficacy growth in climate change-related discourse participation

Sebastian Kuntze, Svenja Knöbel, Jens Krummenauer
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Civic statistics in teacher education - Effects among future math and civic teachers

Florian Weber-Stein, Olushina Olawale Awe
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Theatre of statistics: A systematic review of performative approaches for enhancing statistical literacy

Elena Sorba, Francesco Massara, Elisabetta Risi
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Topic 6: Fostering Probabilistic Thinking

The integration of probability-based arguments in risk-related contexts

Theresa Büchter, Karin Binder, Andreas Eichler
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How the level of inference in visualizations influences participants’ performance in Bayesian reasoning

Michael Rößner, Theresa Büchter, Nicole Steib
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“How is this possible?” - Secondary PSTs’ conceptions of variability in the context of probabilistic thinking

Arabella Denk
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Posters

Data literacy education and the Center for Data Science & Simulation at TU Dortmund University

Henrike Weinert, Alexander Munteanu, Katja Ickstadt
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Visualizing probability: Young children's reasoning in estimating probabilities on a probability scale

Lena S. Jaeger
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