Modelling the Teaching Process: A Markov Chain Approach

Michael Gr. Voskoglou
Abstract
The topic of Markov chains is a synthesis of Probability and matrix theory enabling one to tackle mathematically a variety of problems characterized by randomness and connected to many sectors of the human activity. In this work a finite Markov chain is introduced representing mathematically the teaching process which is based on the ideas of constructivism for learning. Interesting conclusions are derived and a measure is obtained for the teaching effectiveness. An example on teaching the derivative to fresher university students is also presented illustrating our results.
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This work is licensed under a Creative Commons Attribution 4.0 License.

ISSN(Online): 2766-6778

Frequency: Quarterly

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