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_c102956 _d102956 |
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| 001 | 102956 | ||
| 003 | DE-He213 | ||
| 005 | 20230102113107.0 | ||
| 006 | a||||fo|||| 00| 0 | ||
| 007 | cr nn 008mamaa | ||
| 008 | 171022s2018 gw | s |||| 0|eng d | ||
| 020 | _a9783662559932 | ||
| 024 | 7 |
_a10.1007/978-3-662-55993-2 _2doi |
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| 040 |
_aES-MaUEC _bspa _cES-MaUEC _dES-MaUEC |
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| 050 | 4 |
_aQA11.2 _bK674 2018 EB |
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| 100 | 1 |
_aKosheleva, Olga _eautor _4aut _4http://id.loc.gov/vocabulary/relators/aut _1http://viaf.org/viaf/63889385/ |
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| 245 | 1 | 0 |
_aHow Interval and Fuzzy Techniques Can Improve Teaching _bProcessing Educational Data: From Traditional Statistical Techniques to an Appropriate Combination of Probabilistic, Interval, and Fuzzy Approaches _cby Olga Kosheleva, Karen Villaverde. |
| 264 | 1 |
_aBerlin, Heidelberg _bSpringer International Publishing _c2018 |
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| 300 | _a1 recurso en línea (X, 362 páginas 1 ilustraciones) | ||
| 336 |
_2rdacontent _aTexto _btxt |
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| 337 |
_2rdamedia _aelectrónico _bc |
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| 338 |
_2rdacarrier _arecurso electrónico _bcr |
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| 347 |
_atext file _bPDF |
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| 490 | 0 |
_aStudies in Computational Intelligence _x1860-949X _v750 |
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| 490 | 0 | _aEngineering (Springer-11647) | |
| 520 | 3 | _aThis book explains how to teach better and presents the latest research on processing educational data and presents traditional statistical techniques as well as probabilistic, interval, and fuzzy approaches. Teaching is a very rewarding activity; it is also a very difficult one - because it is largely an art. There is a lot of advice on teaching available, but it is usually informal and is not easy to follow. To remedy this situation, it is reasonable to use techniques specifically designed to handle such imprecise knowledge: the fuzzy logic techniques. Since there are a large number of statistical studies of different teaching techniques, the authors combined statistical and fuzzy approaches to process the educational data in order to provide insights into improving all the stages of the education process: from forming a curriculum to deciding in which order to present the material to grading the assignments and exams. The authors do not claim to have solved all the problems of education. Instead they show, using numerous examples, that an innovative combination of different uncertainty techniques can improve teaching. The book offers teachers and instructors valuable advice and provides researchers in pedagogical and fuzzy areas with techniques to further advance teaching. | |
| 988 | _aEBSPRINGER_2018 | ||
| 650 | 7 |
_aMatemáticas _2embne _9405008 |
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| 650 | 7 |
_aTecnología de la información _2embne _9147832 |
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| 700 | 1 |
_aVillaverde, Karen _eautor _4aut _4http://id.loc.gov/vocabulary/relators/aut _1http://viaf.org/viaf/1352151304645349460001/ |
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| 776 | 0 | 8 |
_iEdición impresa: _z9783662559918 |
| 776 | 0 | 8 |
_iEdición impresa: _z9783662559925 |
| 776 | 0 | 8 |
_iEdición impresa: _z9783662572566 |
| 856 | 4 | 0 |
_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-662-55993-2 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid) |
| 942 |
_2lcc _cLE |
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| 998 |
_b02/2019 _dz _ek _feng _ggw _h0 |
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