Text classification for children with dyslexia employing user modelling techniques

Litsas, Chris; Mastropavlou, Maria; Symvonis, Antonios

doi:10.1109/iisa.2014.6878765

Cited by 4 publications

(1 citation statement)

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“…It is based on collecting information about a specific individual in that computer system can make decisions which are suited to that individual. According to (Litsas, Mastropavlou, & Symvonis, 2014) UM consists of three components; the data being stored about user's information, the algorithms which process this data to affect change on the computational environment and the method by which the user model is obtained and updated. As reported by (Papatheodorou, 2001) UM aims to make information systems really user-friendly, by adapting the behavior of the system to the needs of the individual.…”

Section: Learning Styles and Cognitive Trait Model (Ctm)mentioning

confidence: 99%

User Modeling Approach for Dyslexic Students in Virtual Learning Environments

Benmarrakchi

Kafi

Elhore

2017

International Journal of Cloud Applications and Computing

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Dyslexia or reading disability is one of the most common learning disabilities. It is defined as a disorder manifested by difficulty in learning to read despite conventional instruction, adequate intelligence, and sociocultural opportunity. In this paper the authors focus on the potential benefits of the use of Information and Communication Technology (ICT) for students with dyslexia to promote the learning process, by considering the relationship between their learning style preferences and their cognitive traits in virtual learning environments. At this propose the authors investigated the relationship between dyslexic's learning style and cognitive trait within the hypothesis that dyslexic learners may have possible preferences in virtual learning environment, which may be used to improve the dyslexic user modelling. The aim of this paper is to provide an adaptive learning environment for users with dyslexia based on their learning styles preferences and their cognitive traits.

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Section: Learning Styles and Cognitive Trait Model (Ctm)mentioning

confidence: 99%