Using Psychometric Approaches in the Modeling of Abstract Cognitive Skills for Personalization, Lifelong User Modelling Workshop
Citation:
Macarthur, V., Conlan, O, Using Psychometric Approaches in the Modeling of Abstract Cognitive Skills for Personalization, Lifelong User Modelling Workshop, Proceedings of Lifelong User Modelling Workshop, at UMAP2009 User Modeling Adaptation, and Personalization, Lifelong User Modelling Workshop, at UMAP2009 User Modeling Adaptation, and Personalization, 2009Download Item:
Abstract:
?Learning to learn? is the informal phrase often used to describe the
acquisition of abstract cognitive skills such as metacognition and social
cognition. Current personalization approaches within Adaptive Learning
Systems typically support cognitive gain without explicitly enhancing such key
skills. This paper compares the acquisition of two metacognitive factors,
planning and information management strategies, between learners who have
eLearning experience and those who have not. Such complimentary skills
should be fostered alongside learning activities in order to ground their
relevance and applicability in a genuine learning experience. This paper
presents an exploration of how psychometric approaches, which are used to
study and measure human cognition, may be utilized to better model and
facilitate the learner?s acquisition of abstract cognitive skills. Specifically, it
presents the modeling and organization of mental structures according to
schema theory and the development of standardized inventories through factor
analysis.
Sponsor
Grant Number
Irish Research Council for Science and Engineering Technology (IRCSET)
Author's Homepage:
http://people.tcd.ie/owconlanDescription:
PUBLISHED
Author: CONLAN, OWEN; MACARTHUR, VICTORIA
Sponsor:
Irish Research Council for Science and Engineering Technology (IRCSET)Other Titles:
Proceedings of Lifelong User Modelling Workshop, at UMAP2009 User Modeling Adaptation, and PersonalizationLifelong User Modelling Workshop, at UMAP2009 User Modeling Adaptation, and Personalization
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