Adaptation improvement using fuzzy logic

Journal of Computer Science and Technology

卷:15

Delia Esther Benchoff¹  Francisco Ángel José Lizarralde¹  Leonel Guccione¹  Constanza Raquel Huapaya¹  Marcela P. Gonzalez² 

[1] Departamento de Matemática, Facultad de Ingeniería, Universidad Nacional de Mar del Plata, Mar del Plata, Argentina;

[2] Facultad de Psicología, Universidad Nacional de Mar del Plata, Mar del Plata, Argentina;

关键词: adaptation;    personalization;    learning styles;    fuzzylogic;    engineering student;   

DOI  :  

来源: DOAJ

【 摘 要 】

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.

【 授权许可】

Unknown