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How to Apply Context-Awareness in an Adaptive e-Learning Environment to Improve Personalization Capabilities?

Authors: Isabela Gasparini; Marcelo Soares Pimenta; José Palazzo Moreira de Oliveira;

How to Apply Context-Awareness in an Adaptive e-Learning Environment to Improve Personalization Capabilities?

Abstract

An e-learning environment is normally used by different types of users, with different needs, profiles and cultures, however, usually it is created and maintained without taking into account these user´s features. In times when webbased system needs to provide support for an ever increasing amount of material and make it available for local-language populations across the world, the introduction of the culture concept in web-based systems (especially e-learning environments) is becoming a necessity, a challenge, and a timely and relevant issue. Indeed, in attempting to disentangle this diversity, culture has received increasing attention in Human Computer Interaction (HCI) community, particularly in adaptive system field. This paper details a new approach to user modeling in e-learning, taking into account contextual aspects such as technological, educational, personal and especially cultural context to improve personalization capabilities, making use of a set of ontologies for representing explicitly this rich context as an extension of traditional student modeling, and their incorporation in a actual elearning system called AdaptWeb (an e-learning system used in some Brazilians universities nowadays).

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    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Top 10%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Average
Powered by OpenAIRE graph
Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
4
Average
Top 10%
Average
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