A Semantic Rule-Based Approach Towards Process Mining for Personalised Adaptive Learning

Abstract : In recent years, automated learning systems are widely used for educational and training purposes within various organisations including, schools, universities and further education centres. A common challenge for automated learning approaches is the demand for an effectively well-designed and fit for purpose system that meets the requirements and needs of intended learners to achieve their learning goals. This paper proposes a novel approach for automated learning that is capable of detecting changing trends in learning behaviours and abilities through the use of process mining techniques. The goal is to discover user interaction patterns, and respond by making decisions based on adaptive rules centred on captured user profiles. The approach applies semantic annotation of activity logs within the learning process in order to discover patterns automatically by means of semantic reasoning. Therefore, our proposed approach is grounded on Semantic modelling and process mining techniques. To this end, it is possible to apply effective reasoning methods to make inferences over a Learning Process Knowledge-Base that leads to automated discovery of learning patterns or behaviour.
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Communication dans un congrès
2014 IEEE INTERNATIONAL CONFERENCE ON HIGH PERFORMANCE COMPUTING AND COMMUNICATIONS, 2014 IEEE 6TH INTL SYMP ON CYBERSPACE SAFETY AND SECURITY, 2014 IEEE 11TH INTL CONF ON EMBEDDED SOFTWARE AND SYST (HPCC,CSS,ICESS), Aug 2014, Paris, France. 16th IEEE International Conference on High Performance Computing and Communications HPCC 2014\\11th IEEE International Conference on Embedded Software and Systems ICESS 2014\\6th International Symposium on Cyberspace Safety and Security CSS 2014, Paris, FRANCE, AUG 20-22, 2014. - ISBN 978-1-4799-6123-8, p. 929-936 2014, 〈10.1109/HPCC.2014.143〉
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https://hal.archives-ouvertes.fr/hal-01611980
Contributeur : Imt Mines Albi Ecole Nationale Supérieure Des Mines d'Albi-Carmaux <>
Soumis le : vendredi 6 octobre 2017 - 13:32:24
Dernière modification le : lundi 23 juillet 2018 - 11:11:42

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Kingsley Okoye, Abdel-Rahman H. Tawil, Usman Naeem, Rabih Bashroush, Elyes Lamine. A Semantic Rule-Based Approach Towards Process Mining for Personalised Adaptive Learning. 2014 IEEE INTERNATIONAL CONFERENCE ON HIGH PERFORMANCE COMPUTING AND COMMUNICATIONS, 2014 IEEE 6TH INTL SYMP ON CYBERSPACE SAFETY AND SECURITY, 2014 IEEE 11TH INTL CONF ON EMBEDDED SOFTWARE AND SYST (HPCC,CSS,ICESS), Aug 2014, Paris, France. 16th IEEE International Conference on High Performance Computing and Communications HPCC 2014\\11th IEEE International Conference on Embedded Software and Systems ICESS 2014\\6th International Symposium on Cyberspace Safety and Security CSS 2014, Paris, FRANCE, AUG 20-22, 2014. - ISBN 978-1-4799-6123-8, p. 929-936 2014, 〈10.1109/HPCC.2014.143〉. 〈hal-01611980〉

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