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An adaptive hypermedia model based on student's lexicon
Author(s) -
Salcedo Pedro,
Pinninghoff M. Angélica,
Contreras Ricardo,
Figueroa Jorge F.
Publication year - 2017
Publication title -
expert systems
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.365
H-Index - 38
eISSN - 1468-0394
pISSN - 0266-4720
DOI - 10.1111/exsy.12222
Subject(s) - lexicon , computer science , adaptive hypermedia , set (abstract data type) , process (computing) , natural language processing , hypermedia , selection (genetic algorithm) , artificial intelligence , adaptation (eye) , world wide web , programming language , physics , optics
This work presents an adaptive hypermedia proposal that focuses on the students' lexicon. An adequate lexicon knowledge affects dramatically in the learning processes in which the students are involved. In general, students manage a lexicon level that allows them to communicate. However, this is not enough for understanding specialized texts covering specific topics. Our proposal takes into account the interconnecting structures present in the lexicon associated to a student profile. More specifically, we propose a set of rules that, based on the student profile, facilitate the selection of the lexicon. We also provide a description of the different instances involved in the complete process.