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Knowledge spaces

Knowledge spaces offer a rigorous mathematical foundation for various practical systems of knowledge assessment. An example is offered by the ALEKS system (Assessment and LEarning in Knowledge Spaces), a software for the assessment of mathematical knowledge. From a mathematical standpoint, knowledge...

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Detalles Bibliográficos
Autores principales: Doignon, Jean-Paul, Falmagne, Jean-Claude
Lenguaje:eng
Publicado: Springer 1999
Materias:
Acceso en línea:https://dx.doi.org/10.1007/978-3-642-58625-5
http://cds.cern.ch/record/2006212
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author Doignon, Jean-Paul
Falmagne, Jean-Claude
author_facet Doignon, Jean-Paul
Falmagne, Jean-Claude
author_sort Doignon, Jean-Paul
collection CERN
description Knowledge spaces offer a rigorous mathematical foundation for various practical systems of knowledge assessment. An example is offered by the ALEKS system (Assessment and LEarning in Knowledge Spaces), a software for the assessment of mathematical knowledge. From a mathematical standpoint, knowledge spaces generalize partially ordered sets. They are investigated both from a combinatorial and a stochastic viewpoint. The results are applied to real and simulated data. The book gives a systematic presentation of research and extends the results to new situations. It is of interest to mathematically oriented readers in education, computer science and combinatorics at research and graduate levels. The text contains numerous examples and exercises and an extensive bibliography.
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publishDate 1999
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spelling cern-20062122021-04-21T20:23:30Zdoi:10.1007/978-3-642-58625-5http://cds.cern.ch/record/2006212engDoignon, Jean-PaulFalmagne, Jean-ClaudeKnowledge spacesMathematical Physics and MathematicsKnowledge spaces offer a rigorous mathematical foundation for various practical systems of knowledge assessment. An example is offered by the ALEKS system (Assessment and LEarning in Knowledge Spaces), a software for the assessment of mathematical knowledge. From a mathematical standpoint, knowledge spaces generalize partially ordered sets. They are investigated both from a combinatorial and a stochastic viewpoint. The results are applied to real and simulated data. The book gives a systematic presentation of research and extends the results to new situations. It is of interest to mathematically oriented readers in education, computer science and combinatorics at research and graduate levels. The text contains numerous examples and exercises and an extensive bibliography.Springeroai:cds.cern.ch:20062121999
spellingShingle Mathematical Physics and Mathematics
Doignon, Jean-Paul
Falmagne, Jean-Claude
Knowledge spaces
title Knowledge spaces
title_full Knowledge spaces
title_fullStr Knowledge spaces
title_full_unstemmed Knowledge spaces
title_short Knowledge spaces
title_sort knowledge spaces
topic Mathematical Physics and Mathematics
url https://dx.doi.org/10.1007/978-3-642-58625-5
http://cds.cern.ch/record/2006212
work_keys_str_mv AT doignonjeanpaul knowledgespaces
AT falmagnejeanclaude knowledgespaces