Towards Adaptive Learning Support on the Basis of Behavioural Patterns in Learning Activity Sequences

Mirjam Augstein, Alexandros Paramythis

Publikation: Beitrag in Buch/Bericht/TagungsbandKonferenzbeitrag

9 Zitate (Scopus)

Abstract

Monitoring and interpreting sequential user activities contributes to enhanced, more fine-grained user models in e-learning systems. We present in this paper different behavioural patterns from the domain of problem-solving that can be determined by targeted, ultimately automated clustering. For the identification of these patterns, we apply a new approach – based on the modeling of activity sequences – to real-world learning activity sequence data, monitored via an Intelligent Tutoring System. This paper describes the identified behavioural patterns, explains the process used for their detection, and compares the patterns to related ones in earlier literature. It further discusses implications of the patterns themselves, and of the employed approach, on adaptively supporting individual and group-based collaborative learning.
OriginalspracheEnglisch
TitelProceedings - 2nd International Conference on Intelligent Networking and Collaborative Systems, INCOS 2010
Herausgeber (Verlag)IEEE Computer Society Press
Seiten100-107
Seitenumfang8
ISBN (Print)9780769542782
DOIs
PublikationsstatusVeröffentlicht - 2010
Veranstaltung2nd International Conference on Intelligent Networking and Collaborative Systems - Thessaloniki, Griechenland
Dauer: 24 Nov 201026 Nov 2010
http://incos2010.web.auth.gr/

Publikationsreihe

NameProceedings - 2nd International Conference on Intelligent Networking and Collaborative Systems, INCOS 2010

Konferenz

Konferenz2nd International Conference on Intelligent Networking and Collaborative Systems
Land/GebietGriechenland
OrtThessaloniki
Zeitraum24.11.201026.11.2010
Internetadresse

Schlagwörter

  • Data mining
  • Clustering
  • Problem-Solving Styles
  • Learning Activities
  • Adaptivity

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