The User and Domain Models of the TERENCE Adaptive Learning System

Mohammad Alrifai; Rosella Gennari; Oana Tifrea; Pierpaolo Vittorini

doi:10.1007/978-3-642-28801-2_10

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The User and Domain Models of the TERENCE Adaptive Learning System

Conference proceeding

Peer reviewed

The User and Domain Models of the TERENCE Adaptive Learning System

Mohammad Alrifai, Rosella Gennari, Oana Tifrea and Pierpaolo Vittorini

International Workshop on Evidence-Based Technology Enhanced Learning, pp.83-90

Advances in Intelligent and Soft Computing, 152

1st Workshop on Evidence-based Technology Enhanced Learning (eb-TEL 2012) (Salamanca, 28/03/2012 - 30/03/2012)

2012

DOI: https://doi.org/10.1007/978-3-642-28801-2_10

Handle:

https://hdl.handle.net/10863/33159

Abstract

TERENCE is an FP7 ICT European project that aims at developing an adaptive learning system for supporting learners and educators: the TERENCE learners are 7-8 to 11 year old children with poor reading comprehension skills; the TERENCE educators are primary-school teachers, support teachers and parents. The analyses of the context of use and requirements of the TERENCE system are based on real data. Therefore also the design of the conceptual model of the TERENCE system is based on real data. This paper describes the domain and user model of the TERENCE system, and its evidence-based design process

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Details

Title: The User and Domain Models of the TERENCE Adaptive Learning System
Creators: Mohammad Alrifai
Rosella Gennari
Oana Tifrea
Pierpaolo Vittorini
Publication Details: International Workshop on Evidence-Based Technology Enhanced Learning, pp.83-90
Editor(s): Vittorini P, Gennari R, Marenzi I, De la Prieta F, Corchado Rodríguez JM
ISBN: 9783642288005
EISBN: 9783642288012
ISSN: 1867-5662
EISSN: 1867-5670
Conference: 1st Workshop on Evidence-based Technology Enhanced Learning (eb-TEL 2012) (Salamanca, 28/03/2012 - 30/03/2012)
Series / Volume: Advances in Intelligent and Soft Computing
152
Publisher: Springer
Berlin
Number of pages: 8
Identifiers: 978-3-642-28800-5
(UNIBZ)1373420
991006492880101241
Scopus ID: 2-s2.0-84864296698
Academic Unit: Faculty of Computer Science
Language: English
Resource Type: Conference proceeding
Author Names String: Alrifai M, Gennari R, Tifrea O, Vittorini P
Additional Description: Editors/Supervisors: Vittorini P, Gennari R, Marenzi I, De la Prieta F, Corchado Rodríguez JM

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