Title
What Do Academic Users Really Want from an Adaptive Learning System?
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.
Year
DOI
Venue
2009
10.1007/978-3-642-02247-0_52
UMAP
Keywords
Field
DocType
early iteration,subjective analysis,elicited requirement,semi-structured interview,development cycle,appropriate set,adaptive learning system,european academic institution,als design,essential requirement
Computer science,Human–computer interaction,Multimedia,Adaptive learning
Conference
Volume
ISSN
Citations 
5535
0302-9743
7
PageRank 
References 
Authors
0.50
6
4
Name
Order
Citations
PageRank
Martin Harrigan170.50
Miloš Kravčík2141.89
Christina Steiner3122.00
Vincent Wade410614.94