Quality Science, Technology, Engineering, and Mathematics (STEM) education is vital for the future success of students. Integrated STEM education is one way to make learning more connected and relevant for students. There is a need for further research and discussion on the knowledge, experiences, and background that teachers need to effectively teach integrated STEM education. A support, teaching, efficacy, and materials (s.t.e.m.) model of considerations for teaching integrated STEM education was developed through a year-long partnership with a middle school. The middle school was implementing Project Lead the Way's Gateway to Technology curriculum. The s.t.e.m. model is a good starting point for teachers as they implement and improve integrated STEM education.
AbstractQuality Science, Technology, Engineering, and Mathematics (STEM) education is vital for the future success of students. Integrated STEM education is one way to make learning more connected and relevant for students. There is a need for further research and discussion on the knowledge, experiences, and background that teachers need to effectively teach integrated STEM education. A support, teaching, efficacy, and materials (s.t.e.m.) model of considerations for teaching integrated STEM education was developed through a year-long partnership with a middle school. The middle school was implementing Project Lead the Way's Gateway to Technology curriculum. The s.t.e.m. model is a good starting point for teachers as they implement and improve integrated STEM education.
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Background
Modeling abilities play an important role in engineering. The creation and use of representations is a central aspect of modeling, and students who are learning to model often use a variety of representations to express, test, revise, and communicate their own thinking. Consequently, model development often depends on representational fluency and the ability to translate between and within different representational forms.
Purpose
This study investigates the role that representations and representational fluency play in conceptual understanding during a complex modeling task related to heat transfer.
Design/Method
This study involved 16 teams of 3 or 4 college students in a first‐semester heat transfer course participating in a complex modeling task. The task of the student teams was to develop a model to predict the interface temperature and the sensation felt by human skin when touching a utensil made of a given material at a given temperature. Data sources included audio recordings of student teams, as well as student‐generated artifacts.
Results
The results show teams thinking about their model through multiple representations and through translations within and among representations. Students' early ways of thinking used a variety of interacting representations but were often unstable and involved incomplete notions of the system to be modeled. Model development involved increasing representational fluency as well as parallel and interacting progress along a variety of dimensions.
Conclusions
This study furthers the understanding of representational fluency in undergraduate engineering students in a heat transfer setting and how representational fluency contributes to conceptual and application understanding.
The integration of science, technology, engineering, and mathematics (STEM) education has received increased attention in the last decade. This is in part because of the need for students to increase in their STEM knowledge and competencies. Research is still needed to determine effective implementation models and curriculum for integrated STEM. Mathematics in particular has not received the focus it deserves with STEM integration. This paper discusses integration of STEM subjects that has a focus on mathematics (integrated steM); including summarizing and analyzing research done in the last ten years. A s.t.e.m. (Support, Topics, Emphasis, and Mathematical content) model for integrated steM research is presented to guide future research.
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