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.


















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Notes
As usual the term calculus refers to the set of recipes and is taught to students more or less in a form of copying a presented solution idea to another set of problems which may not even require an in depth understanding of the problem itself. Calculus consist of the basics and the correct way of applying formulas. Although calculus is an essential first step towards mathematics it is to be clearly separated from mathematics. Mathematics has the characteristics of a language for the sciences and demands the autonomous realization of solutions for problems of a previously unknown type. Thus the transfer of techniques has to be taught as well as the modeling of scientific and engineering scenarios.
MUMIE is an acronym for “Multimedial Mathematics in Engineering” and was designed jointly by the RWTH Aachen, TU Berlin and TU Munich, see www.mumie.net for further information. The version used at GUtech enables users to explore and learn mathematics by themselves and gave students the chance to practice together with a full material collection of the lecture’s topics and definitions.
References
Ali AJ, Camp RC (1995) Teaching management in the Arab world: confronting illusions. Int J Educ Manag 9(2):10–17
Bostrm L (2011) Students’ learning styles compared with their teachers’ learning styles in secondary schools. Inst Learn Styles J 1:17–38
Chambers J, Cleveland W, Kleiner B, Tukey P (1983) Graphical methods for data analysis, Wadsworth
Coffield F, Ecclestone K, Hall E, Moseley D (2004) Learning styles and pedagogy. A systematic and critical review. Learn Skills Res Cent. www.lsrc.ac.uk
Dede S (2009) The teacher’s educational leadership roles according to Kolb’s theory of learning. Humanity Soc Sci J 4(2):153–163
Dunn R, Dunn K (1998) The complete guide to the learning styles inservice system, Needham heights. Allyn and Bacon, MA
Heim B, Rupp F, Viet N, Stockhausen Pv, Gallenkämper J, Kreuzer J (2014) Driving student-centred calculus: results of a comprehensive case study for Kaizen-learning in the Sultanate of Oman. Int J Math Educ Sci Technol 46(3):354–369
Honey P, Mumford A (1986) A manual of learning styles. Peter Honey, Maidenhead
Howard RA, Carver CA, Lane WD (1996) Felder’s learning styles, Bloom’s taxonomy, and the Kolb learning cycle: tying it all together in the cs2 course, SIGCSE ’95 2/96, Philadelphia, PA, pp 227–231
International Association for the Evaluation of Educational Achievement (IEA) (2011) TIMSS international results in mathematics, chap 2, TIMSS & PIRLS Lynch school of Education, Boston College
Kleinbaum DG, Kupper LL (1978) Applied regression analysis and other multivariable methods. Duxbury Press, Belmont
Kolb D (1984) Experiential Learning. Prentice Hall, Englewood Cliffs, NJ
Lewin K (1951) Field theory and learning. In: Cartwright D (ed) Field theory in social science: selected theoretical papers. Social Science Paperbacks, London
Mandelbrot BB (1983) The fractal geometry of nature. W. H. Freedman, San Francisco
Opera J (2010) Multiethnic teaching methods in higher education: perception, practice, and benefits. J Multicult Educ 6(3):34–62
Rodriguez AL, Fahara MF (2010) Online teaching styles: a study in distance education. Int J Univ Teach Fac Dev 1(2):1–14
Rupp F, Brandmeier R (2010) Benchmarking procurement functions: causes for superior performance. Benchmarking Int J 17(1):5–26
Sachs L (2002) Angewandte statsitik—anwendung statistischer methoden, 11th edn. Springer, Berlin, New York, Heidelberg
Sidani YM, Thornberry J (2009) The current Arab work ethic: antecedents, implications and potential remedies. J Bus Ethics 91(1):35–49
Svinicki MD, Dixon NM (1987) The Kolb model modified for classroom activities. Coll Teach 35(4):141–146
Thomas R (2012) Maths scores in Oman among weakest in the world: OECD, Muscat Daily, 1 April, Muscat
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Gallenkämper, J., Heim, B., Kreuzer, J. et al. Kaizen teaching and the learning habits of engineering students in a freshman mathematics course. Cent Eur J Oper Res 24, 1009–1030 (2016). https://doi.org/10.1007/s10100-015-0416-5
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DOI: https://doi.org/10.1007/s10100-015-0416-5