What Do Academic Users Really Want from an Adaptive Learning System?

Harrigan, Martin and Kravčík, Miloš and Steiner, Christina and Wade, Vincent (2009) What Do Academic Users Really Want from an Adaptive Learning System? In: User Modeling, Adaptation, and Personalization. Lecture Notes in Computer Science (5535). Springer Berlin Heidelberg, pp. 454-460. ISBN 978-3-642-02246-3, 978-3-642-02247-0

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Abstract

When developing an Adaptive Learning System (ALS), users are generally consulted (if at all) towards the end of the development cycle. This can limit users’ feedback to the characteristics and idiosyncrasies of the system at hand. It can be difficult to extrapolate principles and requirements, common to all ALSs, that are rated highly by users. To address this problem, we have elicited requirements from learners and teachers across several European academic institutions through explorative, semi-structured interviews [1]. The goal was to provide a methodology and an appropriate set of questions for conducting such interviews and to capture the essential requirements for the early iterations of an ALS design. In this paper we describe the methodology we employed while preparing, conducting, and analyzing the interviews and we present our findings along with objective and subjective analysis.

Item Type: Book Section
Uncontrolled Keywords: Artificial Intelligence (incl. Robotics); Computer Appl. in Social and Behavioral Sciences; Computers and Society; Information Systems Applications (incl.Internet); Personal Computing; User Interfaces and Human Computer Interaction
Depositing User: National Forum
Date Deposited: 03 Dec 2015 17:06
Last Modified: 03 Dec 2015 17:07
URI: http://eprints.teachingandlearning.ie/id/eprint/2433

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