Title

Inclusive Learner Model for Adaptive Recommendations in Virtual Education

DOI

https://doi.org/10.1109/ICALT.2017.101

Document Type

Conference Proceeding

Publication Date

8-3-2017

Publication Title

Proceedings - IEEE 17th International Conference on Advanced Learning Technologies, ICALT 2017

Abstract

Since last two decades virtual education has brought with it big challenges for higher education, which suppose having in mind the feasibility of delivering digital scenarios that adjusts to learner's characteristics. Thus, our first concern involves distinguishing heterogeneity of student's characteristics who can access this modal of education. Other issue to have in mind is to provide a Learning Management Systems (LMS) that can be adapted to student's characteristics from that diversity. This paper focuses on presenting a learner model with regards to educational special needs, in order to achieve some adaptation through an LMS. The model was built based on a particular data set identified in previous studies done, that include: demographics, competences, reading profile, learning styles, and cognitive traits [1]. The main objective of this model is to bring adaptive recommendations, provided through a LMS, aimed to higher education students with some learning difficulties, particularly those who have dyslexia or reading difficulties.

First Page

79

Last Page

80

ISBN

9781538638705

Identifier

SCOPUS_ID:85030221766

Documento original

Compartir

COinS