BIP for educators

👤 Dr. Wigand Rathmann

Lecturer in the Department of Mathematics at the Friedrich-Alexander-University Erlangen-Nuremberg (FAU), Germany.

His research interests lie in encouraging active participation in classes and fostering a culture of handling errors; promoting logical reasoning in engineering mathematics education; encouraging visual imagination of mathematical concepts (e.g., complex numbers, linear mappings, and multidimensional analysis); visualising mathematical concepts using interactive applets in JSXGraph; and developing interactive tasks with direct feedback to support the learning process.

👤 Juma Zevick Otieno 

I am currently a Doctoral Researcher at the University of Trieste, Italy. My research focuses on technology integration in STEM education, particularly the use of STACK, learning analytics, and data-informed approaches to improve student engagement. 

I have a background in STEM education with a strong interest in digital assessment and the development of open educational resources, such as digital textbooks, aimed at improving access to high-quality mathematics education in resource environments.

For more info see here.

👤 Dr Konstantina Zerva (to be updated)

Facilitator in Technology Enhanced Mathematical Education at The University of Edinburgh

👤 Jarkko Hurme

Jarkko Hurme, Ph.Lic, is a PhD student at University of Oulu and currently serves as a Principal Lecturer at Oulu University of Applied Sciences. He has a strong educational background in higher education mathematics and extensive experience in the design and analysis of interactive learning environments.

His research focuses on learning analytics and applied mathematics, with particular emphasis on structural modeling of decision processes in discrete environments. His work investigates how learner behavior, interaction data, and feedback mechanisms can be represented as admissible paths within constrained state spaces, enabling analysis at the level of structure rather than prediction.

His research interests include learning analytics, educational data modeling, discrete dynamical systems, path-based and energy-based representations, game-theoretic perspectives on human–computer interaction, as well as distance learning and didactics. A central theme in his work is the development of abstract, platform-independent frameworks that support transparent interpretation of observed behavior without introducing latent variables or domain-specific assumptions.

👤  Jesús Copado Mejías (to be updated)

Universidad Pablo de Olavide, Spain