Adaptation Improvement using Fuzzy Logic
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Redalyc
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| Format: | Artículo científico |
| Language: | en |
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Universidad Nacional de La Plata
2015
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| _version_ | 1876441852391981056 |
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| author | Constanza Huapaya |
| author_facet | Constanza Huapaya |
| contents | Adaptation Improvement using Fuzzy Logic Constanza Huapaya Leonel Guccione Delia Benchoff Francisco Lizarralde Marcela Gonzalez Computación Adaptation fuzzy logic personalization learning styles engineering student A module of a Student Model in a Virtual Learning Environment will be presented in order to promote the personalization of instructional material based on the dynamic knowledge levels and learning styles. The improvement is provided by the inclusion experts' experience in the teaching field whose opinions have been expressed in fuzzy rules using two input linguistic variables (knowledge level and learning style) and two linguistic output variables (difficulty level and individual/group work). These last two variables categorize instructional materials. 2015 artículo científico 1666-6046 https://www.redalyc.org/articulo.oa?id=638067264015 en http://www.redalyc.org/revista.oa?id=6380 Journal of Computer Science and Technology application/pdf Universidad Nacional de La Plata Journal of Computer Science and Technology (Argentina) Num.02 Vol.15 |
| format | Artículo científico |
| id | redalyc_638067264015 |
| institution | Redalyc |
| language | en |
| publishDate | 2015 |
| publisher | Universidad Nacional de La Plata |
| spellingShingle | Adaptation Improvement using Fuzzy Logic Constanza Huapaya Computación Adaptation fuzzy logic personalization learning styles engineering student Adaptation Improvement using Fuzzy Logic Constanza Huapaya Leonel Guccione Delia Benchoff Francisco Lizarralde Marcela Gonzalez Computación Adaptation fuzzy logic personalization learning styles engineering student A module of a Student Model in a Virtual Learning Environment will be presented in order to promote the personalization of instructional material based on the dynamic knowledge levels and learning styles. The improvement is provided by the inclusion experts' experience in the teaching field whose opinions have been expressed in fuzzy rules using two input linguistic variables (knowledge level and learning style) and two linguistic output variables (difficulty level and individual/group work). These last two variables categorize instructional materials. 2015 artículo científico 1666-6046 https://www.redalyc.org/articulo.oa?id=638067264015 en http://www.redalyc.org/revista.oa?id=6380 Journal of Computer Science and Technology application/pdf Universidad Nacional de La Plata Journal of Computer Science and Technology (Argentina) Num.02 Vol.15 |
| title | Adaptation Improvement using Fuzzy Logic |
| topic | Computación Adaptation fuzzy logic personalization learning styles engineering student |
| url | https://www.redalyc.org/articulo.oa?id=638067264015 |