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WhoLoDancE: Deliverable 1.7 - User profiling

Authors: El Raheb, Katerina; Katifori, Akrivi; Kasomoulis, Aristotelis;

WhoLoDancE: Deliverable 1.7 - User profiling

Abstract

This deliverable reports on the task “T1.7 User Profiling for the Personalized Learning Scenarios”. The objective of this task is to describe and document the foreseen WhoLoDancE users and to define the user model that will form the basis for the implementation of the personalization and adaptivity algorithms. The report focuses on the specific characteristics of the identified user groups and attempts to analyse them in relation with the functionality to be offered by the WhoLoDancE tools.

This deliverable is Confidential, i.e., only for members of the consortium (including the Commission Services).

Keywords

user profiling, learning, dance, personas

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    popularity
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    influence
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citations
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!
0
Average
Average
Average