Natalia Karlsson
Associate Professor
Subject Coordinator
Senior Lecturer
Background in brief: Associate Professor/Docent of Mathematics. Lecturer in Mathematics with a focus on didactics. Head of the Mathematics Education group/Subject Coordinator - Mathematics with a focus on didactics. My qualifications include a PhD in Mathematics and Physics, Master of Science degree in Mathematics/Applied Mathematics and Master degree in Education, as well as higher education in pedagogy, psychology and philosophy.
My research expertise in the field of mathematics education enhances the methodological approach toward theoretical outlines about cognitive conditions for student learning and the collaboration between teaching content and learners’ learning, including learning diversity, and the variation in and relationships between the teaching and learning of mathematics, as well as problem-solving and Vygotsky's’ grounded theory. This research seeks to enhance understanding and effectiveness in mathematics education in primary and secondary school, as well as mathematics preparation for pre-service teachers in teacher education. The results of my research have been presented in various scientific publications, as well as books for higher education and compulsory school, among other books, about mathematics didactics and teaching content, problem-solving and problem-solving for advanced (gifted) education.
My areas of research expertise in applied mathematics are in mathematical modeling and a non-linear dynamic theory of elasticity: constructing mathematical models and choosing mathematical methods, both analytical and numerical, for solving non-linear systems of partial differential equations and integral equations. This was also the topic of my PhD thesis, which was supervised by Professor and Member of the Russian Academy of Sciences (RAS) Anatoly A. Burenin. My research in applied mathematics also deals with fuzzy methods and their application to formalizing of a strategy map. These methods are used to find functional relationships between elements in a strategy map and are based on Mamdani's fuzzy inference system.
The researcher is not participating in any projects at this moment.