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
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