Abstract
With the rapid advances in E-learning systems, personalisation and adaptability have now become important features in the education technology. In this paper, we describe the development of an architecture for A Personalised and Adaptable E-Learning System (APELS) that attempts to contribute to advancements in this field. APELS aims to provide a personalised and adaptable learning environment to users from the freely available resources on the Web. An ontology was employed to model a specific learning subject and to extract the relevant learning resources from the Web based on a learner’s model (the learners background, needs and learning styles). The APELS system uses natural language processing techniques to evaluate the content extracted from relevant resources against a set of learning outcomes as defined by standard curricula to enable the appropriate learning of the subject. An application in the computer science field is used to illustrate the working mechanisms of the APELS system and its evaluation based on the ACM/IEEE computing curriculum. An experimental evaluation was conducted with domain experts to evaluate whether APELS can produce the right learning material that suits the learning needs of a learner. The results show that the produced content by APELS is of a good quality and satisfies the learning outcomes for teaching purposes.
Highlights
Introduction and motivation1.1 IntroductionTeaching and learning are greatly influenced by the development of Information and Communication Technologies (ICTs) and advanced digital media
The feedback with regard to matching the content to the learning outcomes was positive. 80% of the experts agree that the provided material was of good quality and that it could be used for preparing and delivering a lecture in order to familiarise the students with a given topic, and even more promising, 90% of them think that the content provided by the system in the experiment was so high in quality that it could be used as teaching material to achieve the Usage task, and 90% of the experts agree that the content satisfied the Assessment learning outcomes as it combines the three types of concepts and provides a simple introduction and fewer examples on each type in order to enable students to compare
An adaptable and personalised E-learning system (APELS) architecture is developed to provide a framework for the development of comprehensive learning environments for learners who cannot follow a conventional programme of study
Summary
The main contributions of this research can be summarised as follows:. & A generic architecture is defined for the development of personalised and adaptable E-Learning systems. & To validate the feasibility of the proposed framework, we use it to develop a sample of computer science modules The choice of this domain is mainly influenced by the expertise of the authors of this research, the availability of colleagues for the validation of the generated contents and the wider availability of computer science related resources on the WWW. We acknowledge that this could be a more challenging task for disciplines such as sociology and international studies where the resources are scarce and not supported by internationally recognised and adopted curricula
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