Context Data Learner Model for Classroom and Intelligent Tutoring Systems
BIR-WS 2016 [online]: BIR 2016 Workshops and Doctoral Consortium: Joint Proceedings of the BIR 2016 Workshops and Doctoral Consortium co-located with 15th International Conference on Perspectives in Business Informatics Research (BIR 2016). CEUR Workshop Proceedings. Vol.1684
2016
Jānis Bicāns
Nowadays technological advancement enables multiple education scenarios, like online learning and technology enhanced classroom learning. Both of these scenarios share a common level of knowledge about the learner and his or her learning preferences. This knowledge is limited and in most scenarios gathered via a learner survey. This situation limits system capability on delivering individualised learning experience as the learner sometimes is not able to define his or her learning style, actual preferences and other aspects. Learning session and learner context data enable more advanced adaptation in intelligent tutoring scenarios and deliver new analytical capabilities to the trainer in classroom learning. Learning context data can be captured via various means and from multiple data sources, like education institution systems and physical sensors. This paper proposes the learner context data model attributes identifies the data sources to fill this model and identifies possible techniques to enable this process automation.
Atslēgas vārdi
Context awareness, Context data acquisition, Intelligent tutoring system,Learner analytics,Learner context data model,Learner model,Learning process
Hipersaite
http://ceur-ws.org/Vol-1684/paper5.pdf
Bicāns, J. Context Data Learner Model for Classroom and Intelligent Tutoring Systems. No: BIR-WS 2016 [online]: BIR 2016 Workshops and Doctoral Consortium: Joint Proceedings of the BIR 2016 Workshops and Doctoral Consortium co-located with 15th International Conference on Perspectives in Business Informatics Research (BIR 2016). CEUR Workshop Proceedings. Vol.1684, Čehija, Prague, 14.-16. septembris, 2016. Aachen: RWTH, 2016, 1.-8.lpp. ISSN 1613-0073.
Publikācijas valoda
English (en)