A learning analytics framework for practice-based learning

Publikation: Bidrag til bog/antologi/rapportKonferencebidrag i proceedingsForskningfagfællebedømt

The role of the PELARS Learning Analytics System (LAS) system is to collect information from students performing project-based tasks, reason on such information and provide visualization to teachers and students, that is usable for understanding the learning process. The information collected by the LAS comprises pieces of information collected directly by the Students, and other collected by the System automatically. In this work we will provide a comprehensive description of the framework and the motivations behind the various decisions. The software framework will be described starting from the broad vision of the context and then the different components will be described in detail.

OriginalsprogEngelsk
TitelExploring the Material Conditions of Learning : Computer Supported Collaborative Learning Conference 2015, CSCL 2015 - Conference Proceedings
RedaktørerOskar Lindwall, Paivi Hakkinen, Timothy Koschmann, Pierre Tchounikine, Sten Ludvigsen
Antal sider2
ForlagInternational Society of the Learning Sciences (ISLS)
Publikationsdato2015
Sider741-742
ISBN (Elektronisk)9780990355076
StatusUdgivet - 2015
Eksternt udgivetJa
Begivenhed11th International Conference on Computer Supported Collaborative Learning: Exploring the Material Conditions of Learning, CSCL 2015 - Gothenburg, Sverige
Varighed: 7 jun. 201511 jun. 2015

Konference

Konference11th International Conference on Computer Supported Collaborative Learning: Exploring the Material Conditions of Learning, CSCL 2015
LandSverige
ByGothenburg
Periode07/06/201511/06/2015
SponsorGothenburg and Co, National Science Foundation, Taylor and Francis, The City of Gothenburg, The International Society of the Learning Sciences, University of Gothenburg, Faculty of Education and the Linnaeus Centre for Research on Learning, Interaction and Mediated Communication in Contemporary Society (LinCS)
NavnComputer-Supported Collaborative Learning Conference, CSCL
Vol/bind2
ISSN1573-4552

ID: 256264990