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FP7 iTalk2Learn

iTalk2Learn

Project reference: 318051
Funded under

Talk, Tutor, Explore, Learn: Intelligent Tutoring and Exploration for Robust Learning

From 2012-11-01 to 2015-10-31, closed project

Project details

Total cost:

EUR 3 060 744

EU contribution:

EUR 2 400 000

Coordinated in:

Germany

Call for proposal:

FP7-ICT-2011-8See other projects for this call

Funding scheme:

CP - Collaborative project (generic)

iTalk2Learn platform enables learners to communicate and interact more naturally via rich intuitive user interfaces leveraging direct manipulation and, in particular, natural language user interfaces.

iTalk2Learn project (The Intelligent Tutoring and Exploration for Robust Learning) project aims to facilitate robust learning by creating a platform for intelligent support that combines structured learning with exploratory learning activities and applies cognitive models of the learning behaviour of students in elementary education.

In the aftermath of the PISA studies, which identified weaknesses of students in many European countries, especially in mathematics, the education of children in the elementary school grades has received a lot of attention. Yet, most learning systems that have been developed for mathematics education have two significant limitations: first, they are usually constrained to text-based interactions and are thus hard to use by young learners (6 to 11-year-olds) who are still perfecting their basic literacy skills. Second, support is rarely tailored to the children’s needs in an adaptive fashion, even though depending on the current stage of the learning process, the support that children need varies between structured practice and more exploratory, conceptually-oriented learning.

Relying on state-of-the-art machine learning methods, iTalk2Learn intelligent components will be able to provide adaptive feedback — e.g., praise or hints —and suggest subsequent tasks. The platform will enable learners to communicate and interact more naturally via rich intuitive user interfaces leveraging direct manipulation and, in particular, natural language user interfaces. The pedagogical and technological outcomes of the project will be evaluated in two proven application scenarios in two European languages.The project proposes to perform interdisciplinary, cutting-edge research in a multidisciplinary team with members from fields as diverse as artificial intelligence/machine learning, user modelling, intelligent tutoring systems, and natural language processing, as well as educational psychology and mathematics education.

Objective

In the aftermath of the PISA studies, which identified weaknesses of students in many European countries, especially in mathematics, the education of children in the elementary school grades has received a lot of attention. Yet, most learning systems that have been developed for mathematics education have two significant limitations: first, they are usually constrained to text-based interactions and are thus hard to use by young learners (6 to 11-year-olds) who are still perfecting their basic literacy skills. Second, support is rarely tailored to the children's needs in an adaptive fashion, even though depending on the current stage of the learning process, the support that children need varies between structured practice and more exploratory, conceptually-oriented learning.<br/>The Intelligent Tutoring and Exploration for Robust Learning project aims to facilitate robust learning by creating a platform for intelligent support that combines structured learning with exploratory learning activities and applies cognitive models of the learning behaviour of students in elementary education. Relying on state-of-the-art machine learning methods, intelligent components will be able to provide adaptive feedback -- e.g., praise or hints --and suggest subsequent tasks. The platform will enable learners to communicate and interact more naturally via rich intuitive user interfaces leveraging direct manipulation and, in particular, natural language user interfaces. The pedagogical and technological outcomes of the project will be evaluated in two proven application scenarios in two European languages.<br/>The project proposes to perform interdisciplinary, cutting-edge research in a multidisciplinary team with members from fields as diverse as artificial intelligence/machine learning, user modelling, intelligent tutoring systems, and natural language processing, as well as educational psychology and mathematics education.

Related information

Open Access

Multimedia

Coordinator

STIFTUNG UNIVERSITAT HILDESHEIM
Germany

EU contribution: EUR 415 660


MARIENBURGER PLATZ 22
31141 HILDESHEIM
Germany
Administrative contact: Lars Schmidt-Thieme
Tel.: +49 5121 883851
Fax: +49 5121 883859
E-mail

Participants

SAIL LABS Technology GmbH
Austria

EU contribution: EUR 243 872


MARIANNENGASSE
1090 WIEN
Austria
Administrative contact: Rabija Pehlivanovic
Tel.: +43 1 58095 0
E-mail
RUHR-UNIVERSITAET BOCHUM
Germany

EU contribution: EUR 378 220


Universitaetstrasse
44780 BOCHUM
Germany
Administrative contact: Nikol Rummel
Tel.: +492343228743
Fax: +492343214750
E-mail
TESTALUNA SRL
Italy

EU contribution: EUR 266 400


VIALE VITTORIO VENETO
20124 MILANO
Italy
Administrative contact: Ivan Orvieto
Tel.: +390108595965
Fax: +390108597408
E-mail
WHIZZ EDUCATION LIMITED
United Kingdom

EU contribution: EUR 276 736


MACMILLAN HOUSE PADDINGTON STATION
W2 1FT LONDON
United Kingdom
Administrative contact: Ray Douse
Tel.: +44 203 328 6567
E-mail
BIRKBECK COLLEGE - UNIVERSITY OF LONDON
United Kingdom

EU contribution: EUR 408 319


Malet Street
WC1E 7HX LONDON
United Kingdom
Administrative contact: Craig Bryce
Tel.: +44 020 7380 3141
Fax: +44 020 7380 3221
E-mail
INSTITUTE OF EDUCATION, UNIVERSITY OF LONDON
Participation ended
United Kingdom

EU contribution: EUR 410 793


20 BEDFORD WAY
WC1H 0AL LONDON
United Kingdom
Administrative contact: Pauline Muya
Tel.: +4420 7612 6252
Fax: +4420 7612 6560
E-mail
UNIVERSITY COLLEGE LONDON
United Kingdom

EU contribution: EUR 0


GOWER STREET
WC1E 6BT LONDON
United Kingdom
Administrative contact: Greta Borg-Carbott
Tel.: +44 20 3108 3033
Fax: +44 20 7813 2849
E-mail
Record Number: 105872 / Last updated on: 2016-04-01