Enhancing an Adaptive E-learning System with Didactic Test Assessment Using an Expert System

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61988987%3A17450%2F17%3AA1801SM6" target="_blank" >RIV/61988987:17450/17:A1801SM6 - isvavai.cz</a>
Result on the web
<a href="http://aip.scitation.org/doi/abs/10.1063/1.4992238" target="_blank" >http://aip.scitation.org/doi/abs/10.1063/1.4992238</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1063/1.4992238" target="_blank" >10.1063/1.4992238</a>

Result language
angličtina
Original language name
Enhancing an Adaptive E-learning System with Didactic Test Assessment Using an Expert System
Original language description
The paper deals with a follow-up research on intelligent tutoring systems that were studied in authors 'previous papers from the point of view of describing their advantages. In this paper, the authors make use of the fuzzy logic expert system, which assesses student's knowledge, and integrate it into the intelligent tutoring system called Barborka. The goal is to create an even more personal student's study plan, which is tailored both to student's sensory/learning preferences and the level of knowledge of the given subject.
Czech name
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Czech description
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Type
D - Article in proceedings
CEP classification
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OECD FORD branch
50301 - Education, general; including training, pedagogy, didactics [and education systems]

Publication year
2017
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

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