ALS_CORR[LP]: An adaptive learning system based on the learning styles of Felder-Silverman and a Bayesian network
| Autor: | Badr Eddine El Mohajir, Yassine Zaoui Seghroucheni, Mohammed Al Achhab, Nihad Elghouch, El Mokhtar En-Naimi |
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| Rok vydání: | 2016 |
| Předmět: |
021110 strategic
defence & security studies Learning classifier system Computer science business.industry Active learning (machine learning) 0211 other engineering and technologies Online machine learning Multi-task learning 030208 emergency & critical care medicine 02 engineering and technology Semi-supervised learning Machine learning computer.software_genre 03 medical and health sciences 0302 clinical medicine Unsupervised learning Adaptive learning Artificial intelligence Instance-based learning business computer |
| Zdroj: | CIST |
| DOI: | 10.1109/cist.2016.7805098 |
| Popis: | The aim of this paper is to present the adaptive learning system called ALS_CORR[LP]1. This system belongs to a very specific class of the e-learning systems, which is the adaptive learning ones. In fact they have the ability to adapt the learning process according to each learner needs, learning styles, objectives, etc. ALS_CORR[LP] is based on the learner prerequisites and the learning styles of Felder-Silverman, to design the learner model. As for the domain model, it is designed according to the recommendations of the differentiated pedagogy, which advocates creating multiple versions of the same learning object. Finally in order to ensure the adaptation inside the system, a Bayesian network, to match the designed learning object with the specifics of the learner profile was developed. It is also necessary to emphasize, that the major feature of the system is, its ability to correct the generated learning path in case of a failure in the evaluation phase. The learning path relevance is questioned, based on a recommendation system which enables updating the initial profile, or recommending the most relevant versions of the learning object, in case where the similarity calculation in behavior, reveals that the observed behavior in the system does not fit the initial profile description. |
| Databáze: | OpenAIRE |
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