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Learning Spaces
Learning spaces offer a rigorous mathematical foundation for practical systems of educational technology. Learning spaces generalize partially ordered sets and are special cases of knowledge spaces. The various structures are investigated from the standpoints of combinatorial properties and stochast...
Autores principales: | , |
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Lenguaje: | eng |
Publicado: |
Springer
2011
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Materias: | |
Acceso en línea: | https://dx.doi.org/10.1007/978-3-642-01039-2 http://cds.cern.ch/record/1412659 |
_version_ | 1780923907133407232 |
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author | Falmagne, Jean-Claude Doignon, Jean-Paul |
author_facet | Falmagne, Jean-Claude Doignon, Jean-Paul |
author_sort | Falmagne, Jean-Claude |
collection | CERN |
description | Learning spaces offer a rigorous mathematical foundation for practical systems of educational technology. Learning spaces generalize partially ordered sets and are special cases of knowledge spaces. The various structures are investigated from the standpoints of combinatorial properties and stochastic processes. Leaning spaces have become the essential structures to be used in assessing students' competence of various topics. A practical example is offered by ALEKS, a Web-based, artificially intelligent assessment and learning system in mathematics and other scholarly fields. At the heart of A |
id | cern-1412659 |
institution | Organización Europea para la Investigación Nuclear |
language | eng |
publishDate | 2011 |
publisher | Springer |
record_format | invenio |
spelling | cern-14126592021-04-22T00:44:35Zdoi:10.1007/978-3-642-01039-2http://cds.cern.ch/record/1412659engFalmagne, Jean-ClaudeDoignon, Jean-PaulLearning SpacesMathematical Physics and MathematicsLearning spaces offer a rigorous mathematical foundation for practical systems of educational technology. Learning spaces generalize partially ordered sets and are special cases of knowledge spaces. The various structures are investigated from the standpoints of combinatorial properties and stochastic processes. Leaning spaces have become the essential structures to be used in assessing students' competence of various topics. A practical example is offered by ALEKS, a Web-based, artificially intelligent assessment and learning system in mathematics and other scholarly fields. At the heart of ASpringeroai:cds.cern.ch:14126592011 |
spellingShingle | Mathematical Physics and Mathematics Falmagne, Jean-Claude Doignon, Jean-Paul Learning Spaces |
title | Learning Spaces |
title_full | Learning Spaces |
title_fullStr | Learning Spaces |
title_full_unstemmed | Learning Spaces |
title_short | Learning Spaces |
title_sort | learning spaces |
topic | Mathematical Physics and Mathematics |
url | https://dx.doi.org/10.1007/978-3-642-01039-2 http://cds.cern.ch/record/1412659 |
work_keys_str_mv | AT falmagnejeanclaude learningspaces AT doignonjeanpaul learningspaces |