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| Content Provider | Springer Nature Link |
|---|---|
| Author | Gallenkämper, Jonas Heim, Bernhard Kreuzer, Judith Rupp, Florian Stockhausen, Paul Viet, Nils |
| Copyright Year | 2015 |
| 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. |
| Starting Page | 1009 |
| Ending Page | 1030 |
| Page Count | 22 |
| File Format | |
| ISSN | 1435246X |
| Journal | Central European Journal of Operations Research |
| Volume Number | 24 |
| Issue Number | 4 |
| e-ISSN | 16139178 |
| Language | English |
| Publisher | Springer Berlin Heidelberg |
| Publisher Date | 2015-09-02 |
| Publisher Place | Berlin, Heidelberg |
| Access Restriction | One Nation One Subscription (ONOS) |
| Subject Keyword | Student centred learning Blended learning Kaizen learning Kolb cycle Teaching in the Middle East Operation Research/Decision Theory |
| Content Type | Text |
| Resource Type | Article |
| Subject | Management Science and Operations Research |
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