Title
A Web-Based Framework for User-Centred Evaluation of End-User Experience in Adaptive and Personalized E-Learning Systems
Abstract
The evaluation of interactive adaptive and personalised systems has long been acknowledged as a difficult, complicated and very demanding Endeavour due to the complex nature of these systems. This paper describes a web-based framework for the evaluation of end-user experience in adaptive and personalised e-Learning systems. The benefits of the framework include: i) the provision of an interactive reference and recommendation tool to encourage the evaluation of systems that fulfil certain methodological requirements, ii) the collaborative nature of the framework facilitates the sharing of information among researchers from the information technology, adaptive hypermedia, information retrieval and e-Learning communities, iii) the identification of pitfalls in the evaluation planning process as well as in data analysis, and iv) the translation of presented information into users language of choice. This paper also presents a review of User-Centred Evaluation approaches, methodologies and techniques adopted by current systems and frameworks. The results of this review are analysed. From these results, an architectural design for the framework was specified.
Year
DOI
Venue
2011
10.1109/WI-IAT.2011.203
Web Intelligence/IAT Workshops
Keywords
Field
DocType
e-learning community,complex nature,interactive adaptive,web-based framework,adaptive hypermedia,information retrieval,information technology,end-user experience,personalized e-learning systems,collaborative nature,user-centred evaluation,evaluation planning process,interactive reference,electronic learning,human computer interaction,data analysis,user experience,learning community,context model,personalisation,recommender systems,adaptive system,context modeling,data model,adaptive systems,internet,data models
Recommender system,Data modeling,End user,Hypermedia,Computer science,Information technology,Adaptive hypermedia,Human–computer interaction,Web application,Personalization
Conference
Citations 
PageRank 
References 
2
0.42
15
Authors
4
Name
Order
Citations
PageRank
Catherine Mulwa1312.29
Seamus Lawless215513.27
Mary Sharp3312.63
Vincent Wade48910.37