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The Contribution of Computer Science to Learning Computational Physics

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Part of the Lecture Notes in Computer Science book series (LNTCS,volume 7780)

Abstract

Computational science is a field that deals with the construction of computational models. It is characterized by its interdisciplinary nature. Computational science is now being taught in universities and recently even in high-schools. This paper describes research into the learning processes of tenth-grade (16-year-old) students studying a course in computational science. Following an initial finding that students achieved meaningful learning of physics, our primary goal was then to investigate the learning processes that led to this outcome. In particular, we wanted to characterize the contribution of computer science to the students’ learning. We conducted a micro-level analysis of a pair of students engaged in solving a problem in computational physics. The analysis was conducted within the framework of Knowledge Integration proposed by Linn and Eylon [1,2]. We describe the learning processes that the students went through with emphasis on the contribution of computer science to learning physics; this contribution was particularly apparent in developing criteria for evaluating acquired knowledge.

Keywords

  • computational science
  • knowledge integration
  • meaningful learning
  • modeling

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References

  1. Linn, M.C., Eylon, B.S.: Science education: Integrating views of learning and instruction. In: Anderman, E., Winne, P.H., Alexander, P.A., Corno, L. (eds.) Handbbok in Educational Psychology, pp. 511–544. Lawrence Erlbaum Associates (2006)

    Google Scholar 

  2. Linn, M.C., Eylon, B.S.: Science learning and instruction: Taking advantage of technology to promote knowledge integration. Routledge, New York (2011)

    Google Scholar 

  3. Sloot, P.: Aims & scope of the journal of computational science (n.d.)

    Google Scholar 

  4. Ausubel, D.: The acquisition and retention of knowledge: A cognitive view. Kluwer Academic Publishers (2000)

    Google Scholar 

  5. Linn, M.C., Clark, D., Slotta, J.D.: WISE design for knowledge integration. Science Education 87(4), 517–538 (2003)

    CrossRef  Google Scholar 

  6. Linn, M.: Designing computer learning environments for engineering and computer science: The scaffolded knowledge integration framework. Journal of Science Education and Technology 4(2), 103–126 (1995)

    CrossRef  Google Scholar 

  7. Chiu, J.L., Linn, M.C.: Knowledge integration and WISE engineering. Journal of Pre-College Engineering Education Research 1(1), 1–14 (2011)

    Google Scholar 

  8. Liu, O.L., Lee, H.S., Hofstetter, C., Linn, M.C.: Assessing knowledge integration in science: Construct, measures, and evidence. Educational Assessment 13(1), 33–55 (2008)

    CrossRef  Google Scholar 

  9. Lee, H.S., Liu, O.L.: Assessing learning progression of energy concepts across middle school grades: The knowledge integration perspective. Science Education 94(4), 665–688 (2010)

    CrossRef  Google Scholar 

  10. Yerushalmi, E., Puterkovsky, M., Bagno, E.: Knowledge integration while interacting with an online troubleshooting activity. Journal of Science Education and Technology, 1–12 (2012)

    Google Scholar 

  11. Kali, Y., Orion, N., Eylon, B.S.: Effect of knowledge integration activities on students’ perception of the earth’s crust as a cyclic system. Journal of Research in Science Teaching 40(6), 545–565 (2003)

    CrossRef  Google Scholar 

  12. Singer, D.J.: The level-of-analysis problem in international relations. World Politics 14(1), 77–92 (1961)

    CrossRef  Google Scholar 

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Taub, R., Armoni, M., Ben-Ari, M. (2013). The Contribution of Computer Science to Learning Computational Physics. In: Diethelm, I., Mittermeir, R.T. (eds) Informatics in Schools. Sustainable Informatics Education for Pupils of all Ages. ISSEP 2013. Lecture Notes in Computer Science, vol 7780. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-36617-8_11

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  • DOI: https://doi.org/10.1007/978-3-642-36617-8_11

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-36616-1

  • Online ISBN: 978-3-642-36617-8

  • eBook Packages: Computer ScienceComputer Science (R0)