This valuable resource provides an overview of recent research and strategies in developing and applying modelling to promote practice-based research in STEM education. In doing so, it bridges barriers across academic disciplines by suggesting activities that promote integration of qualitative science concepts with the tools of mathematics and engineering. The volume’s three parts offer a comprehensive review, by
1) Presenting a conceptual background of how scientific inquiry can be induced in mathematics classes considering recommendations of prior research,
2) Collecting case studies that were designed using scientific inquiry process designed for math classes, and
3) Exploring future possibilities and directions for the research included within.
Among the topics discussed:
· STEM education: A platform for multidisciplinary learning.
· Teaching and learning representations in STEM.· Formulating conceptual framework for multidisciplinary STEM modeling.
· Exploring function continuity in context.
· Exploring function transformations using a dynamic system.
Scientific Inquiry in Mathematics – Theory and Practice delivers hands-on and concrete strategies for effective STEM teaching in practice to educators within the fields of mathematics, science, and technology. It will be of interest to practicing and future mathematics teachers at all levels, as well as teacher educators, mathematics education researchers, and undergraduate and graduate mathematics students interested in research based methods for integrating inquiry-based learning into STEM classrooms.
Table of Content
Part I.Scientific and Mathematics Reasoning in STEM – Conceptual Framework.- Chapter 1.STEM Education: A Platform for Multidisciplinary Learning.- Chapter 2. Integrating Mathematics and Science within the STEM Paradigm.- Chapter 3.Teaching and Learning Representations in STEM.- Chapter 4.Modeling in STEM.- Chapter 5.Survey of the Field of Empirical Research on Scientific Methods in STEM.- Chapter 6.Formulating Conceptual Framework for Multidisciplinary STEM Modeling.- Part II.Scientific and Mathematics Reasoning in STEM Practice.- Chapter 7.Modeling with Exponential Decay Function.- Chapter 8.Exploring Function Continuity in Context.- Chapter 9.Exploring Function Transformations using a Dynamic System.- Chapter 10.Investigating Function Extreme Value – Case of Optimization.
About the author
Dr Andrzej Sokolowski, a researcher and mathematics and physics professor, has an international track record of developing innovative teaching strategies in mathematics, physics and STEM. His research focuses on integrating curricula of these disciplines through modelling. Andrzej is an author of several book chapters and numerous articles published, among others, in Physics Education Journal, International Journal of STEM Education, Australian Senior Mathematics Journal, and International Journal of Physics and Chemistry Education. He is also an active reviewer for many periodicals including the Mathematical Association of America (MAA), International Journal of Mathematical Education in Science and Technology (IJMEST) and The Physics Teacher.
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