DocumentCode :
2689387
Title :
Combining Individualization and Intuitive Guided Learning through Compound Learning Resources
Author :
Capuano, Nicola ; Pierri, Anna ; Salerno, Saverio ; Mangione, Giuseppina Rita
Author_Institution :
Centre of Res. in Pure & Appl. Math. CRMPA, Salerno, Italy
fYear :
2012
fDate :
4-6 July 2012
Firstpage :
905
Lastpage :
910
Abstract :
Individualized teaching approaches try to find the best sequence of learning resources capable of satisfying individual goals and preferences. On the other side, intuitive guided learning approaches see the learning experience as "non-linear": each learner can chose a personal path across the material according to his/her interests and preferences. In this paper we present a method and a prototype able to combine the advantages of both approaches by introducing the concept of "compound learning resource": a complex didactic artifact bringing together multiple semantically connected learning resources that can be freely browsed by the learner. Included semantic connections have a twofold function: from one side they guide the learners\´ navigation, from the other side they allow the dynamic reconfiguration of the resource according to learners\´ needs and preferences (individualization). Experimental results with real users in a University context are also presented.
Keywords :
courseware; online front-ends; semantic networks; complex didactic artifact; compound learning resources; dynamic reconfiguration; individualized teaching approach; intuitive guided learning; learner navigation; multiple semantically connected learning resources; nonlinear learning experience; personal path; university context; Adaptation models; Compounds; Education; Navigation; Prototypes; Semantics; Standards; individualized teaching; intuitive guided learning; semantic link networks; typed links;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Complex, Intelligent and Software Intensive Systems (CISIS), 2012 Sixth International Conference on
Conference_Location :
Palermo
Print_ISBN :
978-1-4673-1233-2
Type :
conf
DOI :
10.1109/CISIS.2012.206
Filename :
6245708
Link To Document :
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