Mary Sharp

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This literature review focuses on the educational benefits afforded to learners by Technology Enhanced Learning Environments (TELE) which adapt and personalize the learning experience. More specifically it focuses on Adaptive Educational Hypermedia Systems (AEHS) that incorporate Learning Styles. Adaptive approaches to learning offer alternatives to the(More)
A current problem with the research of adaptive systems is the inconsistency of evaluation applied to the adaptive systems. However, evaluating an adaptive system is a difficult task due to the complexity of such systems. Evaluators need to ensure correct evaluation methods and measurement metrics are used. This paper reviews a variety of evaluation(More)
Class Model: describes the structure of objects in a system, their identity, their relationships to other objects, their attributes and their operations. Our goal in constructing a class model is to capture those concepts from the real world that are important to an application. In modeling an engineering problem, the class model should contain terms(More)
Web crawlers are a significant component in Web search engines. This paper describes a distributed, Web-based system consisting of 3 layers: presentation, business logic and data persistence. The educational benefit of this system is in the provision of an interactive reference tool to encourage the evaluation of systems that fulfill certain methodological(More)
This chapter reviews the concept of personalised eLearning resources in relation to integrating interactivity into asynchronous learning. Personalised eLearning resources are learning resources which are selected to suit a specific student or trainee’s individual learning requirements. The affordance of personalised eLearning would provide educators with(More)
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(More)
The Centre for Next Generation Localisation (CNGL) is involved in building interactive adaptive systems which combine adaptive web techniques and technologies, information retrieval (IR) and Adaptive Hypermedia (AH). AH research is concerned with the dynamic composition and personalisation of hypermedia documents in order to provide more context sensitive(More)
The evaluation of adaptive and personalised systems is a difficult, complicated and very demanding endeavour due to the complex nature of these systems and the usability issues encountered. This demonstration introduces a web-based framework to support the evaluation of end-user experience in adaptive and personalised systems. This framework has been(More)