<?xml version="1.0" encoding="UTF-8"?>
<records>
<record>
<language>eng</language>
<publisher>Science and Education Publishing</publisher>
<journalTitle>American Journal of Applied Mathematics and Statistics</journalTitle>
<eissn>2328-7292</eissn>
<publicationDate>2016-12-23</publicationDate>
<volume>4</volume>
<issue>6</issue>
<startPage>173</startPage>
<endPage>177</endPage>
<doi>10.12691/ajams-4-6-2</doi>
<publisherRecordId>AJAMS2016462</publisherRecordId>
<documentType>article</documentType>
<title language="eng">An Absorbing Markov Chain Model for Problem-Solving</title>
<authors>
<author>
<name>Michael Gr. Voskoglou</name>
<email>mvosk@hol.gr</email>
<affiliationId>1</affiliationId>
</author>
</authors>
<affiliationsList>
<affiliationName affiliationId="1">Department of Mathematical Sciences, School of Technological Applications, Graduate Technological Educational Institute (T. E. I.) of Western Greece, Patras, Greece</affiliationName>

</affiliationsList>
<abstract language="eng">In the present paper an absorbing Markov Chain model is developed for the description of the problem-solving process and through it a measure is obtained for  problem-solving skills. Examples are  also presented illustrating the model's applicability in practice.</abstract>
<fullTextUrl format="pdf">http://pubs.sciepub.com/ajams/4/6/2/ajams-4-6-2.pdf</fullTextUrl>
<keywords language="eng"><keyword>Problem-Solving (PS)</keyword>
<keyword>Multidimensional PS Framework (MPSF)</keyword>
<keyword>Finite Markov Chain (FMC)</keyword>
<keyword>Absorbing Markov Chain (AMC)</keyword>
<keyword>Transition Matrix</keyword>
<keyword>Fundamental Matrix</keyword>
</keywords>
</record>
</records>
