Smart Indicators on Learning Interactions

Christian Glahn, Marcus Specht, Rob Koper

    Research output: Chapter in Book/Report/Conference proceedingConference Article in proceedingAcademicpeer-review


    Indicators help actors to organise, orientate and navigate through complex environments by providing contextual information relevant for the performance of learning tasks. In this article we analyse the requirements, present a model and an initial prototype of a software system that uses smart indicators to support learners to be more engaged in the learning process. We argue that indicators need adaptation as learners develop on their learning paths in order to support interactions throughout the learning process. We use the learning interaction cycle of Garries, Ahlers and Driskel as the underlying model and architecture to describe the interaction between a learner and a learning environment. We tested the technical feasibility of the architecture by implementing a prototype. This prototype is critically reflected on the technical and educational concepts that were implemented. We conclude this article by giving an outlook on our future research, in which we evaluate the model by applying the prototype to support learner engagement in a learning community
    Original languageEnglish
    Title of host publicationCreating New Learning Experiences on a Global Scale
    Subtitle of host publicationSecond European Conference on Technology Enhanced Learning, EC-TEL 2007, Crete, Greece, September 17-20, 2007. Proceedings
    EditorsE. Duval, R. Klamma, M. Wolpers
    Place of PublicationBerlin
    PublisherSpringer-Verlag Berlin Heidelberg
    Number of pages15
    ISBN (Electronic)9783540751953
    ISBN (Print)9783540751946
    Publication statusPublished - 2007
    Event2nd European Conference on Technology Enhanced Learning - Crete, Greece
    Duration: 17 Sept 200720 Sept 2007


    Conference2nd European Conference on Technology Enhanced Learning
    Abbreviated titleEC-TEL 2007
    Internet address


    • learner support
    • indicators
    • adaptive systems
    • user modeling
    • human-computer interaction


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