2016
DOI: 10.15388/infedu.2016.03
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An Automatic and Dynamic Approach for Personalized Recommendation of Learning Objects Considering Students Learning Styles: An Experimental Analysis

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Cited by 72 publications
(47 citation statements)
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“…b. It has been successfully implemented in recent study about the adaptation of student learning styles to the use of instructional matters and strategies [4], [19]- [24]. c. It is user friendly even if for student him/her self and the result is easy to interpretate [4], [25].…”
Section: Learning Stylesmentioning
confidence: 99%
“…b. It has been successfully implemented in recent study about the adaptation of student learning styles to the use of instructional matters and strategies [4], [19]- [24]. c. It is user friendly even if for student him/her self and the result is easy to interpretate [4], [25].…”
Section: Learning Stylesmentioning
confidence: 99%
“…Learning personalization became a very popular research object in scientific literature in the last years (Arimoto et al 2016;Dorca et al 2016;Juskeviciene et al 2016;Kurilovas and Juskeviciene 2015;Lytras et al 2014;Lytras and Kurilovas 2014). The research topic on creating full learning units (Kurilovas and Zilinskiene 2012) and smaller learning components -LOs (Kurilovas 2009;Kurilovas and Serikoviene 2013), LAs and LEs Kurilovas and Dagiene 2016) -which should be optimal (i.e., the most suitable) to particular students based on expert evaluation methods and techniques, has also become highly demanded, and there are some relevant methods and techniques proposed in the area (Kurilovas et al 2011;Kurilovas, Serikoviene and Vuorikari 2014;Kurilovas, Vinogradova and Kubilinskiene 2016).…”
Section: Personalization Of Learning Unitsmentioning
confidence: 99%
“…The approach (Dorca et al, 2016) uses an expert system to implement a set of rules, which classifies LO according to their teaching style, and then automatically filters LO according to students' learning styles.…”
Section: Adaptation In E-learningmentioning
confidence: 99%