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Kaizen teaching and the learning habits of engineering students in a freshman mathematics course

Author

Listed:
  • Jonas Gallenkämper

    (RWTH Aachen)

  • Bernhard Heim

    (German University of Technology in Oman)

  • Judith Kreuzer

    (RWTH Aachen)

  • Florian Rupp

    (German University of Technology in Oman)

  • Paul Stockhausen

    (German University of Technology in Oman)

  • Nils Viet

    (German University of Technology in Oman)

Abstract

Which are the teaching methods that actually contribute to the learning of mathematics? The answer to this certainly is the holy grail of didactic and pedagogy, and should be supported by large scale statistical evidence. Our article aims at providing an initial step into this direction by first illustrating a teaching paradigm that is suited for the generation of large scale data sets: based on industry best practice quality assurance standards we introduce the Kaizen teaching paradigm which enforces Kolb’s reflective learning cycle on the students’ side. Second, we present and analyze the data we obtained through our pilot implementation at a engineering freshman mathematics course in the Sultanate of Oman. These emphasize the effectiveness of Kaizen teaching and once again show the necessity of continuous learning. A practice that seems to be forgotten in traditional university engineering courses due to the mere size of the audience. In particular it seems that a Markovian estimator for students’ performance may have to be considered.

Suggested Citation

  • Jonas Gallenkämper & Bernhard Heim & Judith Kreuzer & Florian Rupp & Paul Stockhausen & Nils Viet, 2016. "Kaizen teaching and the learning habits of engineering students in a freshman mathematics course," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 24(4), pages 1009-1030, December.
    • Handle: RePEc:spr:cejnor:v:24:y:2016:i:4:d:10.1007_s10100-015-0416-5
    DOI: 10.1007/s10100-015-0416-5
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