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AFEL - Analytics For Everyday Learning

Objective

The goal of AFEL (Analytics for Everyday Learning) is to develop, pilot and evaluate methods and applications, which advance informal/collective learning as it surfaces implicitly in online social environments. The project is following a multi-disciplinary, industry-driven approach to the analysis and understanding of learner data in order to personalize, accelerate and improve informal learning processes. Learning Analytics and Educational Data Mining traditionally relate to the analysis and exploration of data coming from learning environments, especially to understand learners' behaviours. However, studies have for a long time demonstrated that learning activities happen outside of formal educational platforms, also. This includes informal and collective learning usually associated, as a side effect, with other (social) environments and activities. Relying on real data from a commercially available platform, the aim of AFEL is to provide and validate the technological grounding and tools for exploiting learning analytics on such learning activities. This will be achieve in relation to cognitive models of learning and collaboration, which are necessary to the understanding of loosely defined learning processes in online social environments. Applying the skills available in the consortium to a concrete set of live, industrial online social environments, AFEL will tackle the main challenges of informal learning analytics through 1) developing the tools and techniques necessary to capture information about learning activities from (not necessarily educational) online social environments; 2) creating methods for the analysis of such informal learning data, based on combining visual analytics with cognitive models of learning and collaboration; and 3) demonstrating the potential of the approach in improving the understanding of informal learning, and the way it is better supported; 4) evaluate all the former items in real world large scale applications and platforms.

Field of science

  • /natural sciences/computer and information sciences/data science/data mining

Call for proposal

H2020-ICT-2015
See other projects for this call

Funding Scheme

RIA - Research and Innovation action

Coordinator

NATIONAL UNIVERSITY OF IRELAND GALWAY
Address
University Road
H91 Galway
Ireland
Activity type
Higher or Secondary Education Establishments
EU contribution
€ 212 310

Participants (5)

RIAM INTELEARNING LAB SL
Spain
EU contribution
€ 411 500
Address
Piqueras 31
26006 Logrono
Activity type
Private for-profit entities (excluding Higher or Secondary Education Establishments)
GOTTFRIED WILHELM LEIBNIZ UNIVERSITAET HANNOVER
Germany
EU contribution
€ 494 000
Address
Welfengarten 1
30167 Hannover
Activity type
Higher or Secondary Education Establishments
MEDIEN IN DER BILDUNG STIFTUNG
Germany
EU contribution
€ 493 250
Address
Schleichstrasse 6
72076 Tuebingen
Activity type
Research Organisations
KNOW-CENTER GMBH RESEARCH CENTER FOR DATA-DRIVEN BUSINESS & BIG DATA ANALYTICS
Austria
EU contribution
€ 609 125
Address
Inffeldgasse 13/6
8010 Graz
Activity type
Research Organisations
THE OPEN UNIVERSITY
United Kingdom
EU contribution
€ 361 755
Address
Walton Hall
MK7 6AA Milton Keynes
Activity type
Higher or Secondary Education Establishments