Computational math, science, and technology (CMST): A strategy to improve STEM workforce and pedagogy to improve math and science education

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Abstract

Integrated approach to education in science, technology, engineering, and mathematics (STEM) has recently become a common practice. Technologies such as wireless graphing calculators, electronic whiteboards, and computers help engage students in classroom activities. Modeling and simulation software allow experimentation without usual prerequisites while enabling a pedagogical approach to display interconnectedness of math and science. Controlled simulations and layered approach to learning seem to offer long-sought support for inquiry-based curricula in public schools. Today's jobs require multiple skills, necessitating a broader college education. While students with multiple majors can be seen on college campuses, the overall number of degree holders in technical fields has gone clown steadily. A handful of institutions have established multidisciplinary programs to adjust to these concerns and to better serve diverse interests of students. © Springer-Verlag Berlin Heidelberg 2006.

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Yaşar, O., Little, L., Tuzun, R., Rajasethupathy, K., Maliekal, J., & Tahar, M. (2006). Computational math, science, and technology (CMST): A strategy to improve STEM workforce and pedagogy to improve math and science education. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 3992 LNCS-II, pp. 169–176). Springer Verlag. https://doi.org/10.1007/11758525_23

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