Aeiad, E and Meziane, F 2016, 'Validating the learning outcomes of an e-learning system using NLP: from Natural Language Processing and Information Systems : 21st International Conference on Applications of Natural Language to Information Systems, NLDB 2016, Salford, UK, June 22-24, 2016, Proceedings' , Lecture Notes in Computer Science, 9612 , pp. 292-300.
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Despite the development and the wide use of E-Learning, developing an adaptive personalised E-Learning system tailored to the needs of individual learners remains a challenge. In an early work, the authors proposed APELS that extracts freely available resources on the web using an ontology to model the leaning topics and optimise the information extraction process. APELS takes into consideration the leaner’s needs and background. In this paper, we developed an approach to evaluate the topics’ content extracted previously by APELS against a set of learning outcomes as defined by standard curricula. Our validation approach is based on finding patterns in part of speech and grammatical dependencies using the Stanford English Parser. As a case study, we use the computer science field with the IEEE/ACM Computing curriculum as the standard curriculum.
|Schools:||Schools > School of Computing, Science and Engineering > Salford Innovation Research Centre (SIRC)|
|Journal or Publication Title:||Lecture Notes in Computer Science|
|Publisher:||Springer-Verlag Berlin Heidelberg|
|Funders:||Non funded research|
|Depositing User:||Prof Farid Meziane|
|Date Deposited:||24 Jun 2016 14:15|
|Last Modified:||07 Jul 2016 07:33|
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