Evaluation of an intelligent open learning system for engineering education

In computer-assisted education, the continuous monitoring and assessment of the learner is crucial for the delivery of personalized education to be effective. In this paper, we present a pilot application of the Student Diagnosis, Assistance, Evaluation System based on Artificial Intelligence (StuDi...

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Main Authors: Maria Samarakou, Emmanouil D. Fylladitakis, Dimitrios Karolidis, Wolf-Gerrit Früh, Antonios Hatziapostolou, Spyros S. Athinaios, Maria Grigoriadou
Format: Article
Language:English
Published: Hong Kong Bao Long Accounting & Secretarial Limited 2016-09-01
Series:Knowledge Management & E-Learning: An International Journal
Online Access:http://www.kmel-journal.org/ojs/index.php/online-publication/article/view/404/323
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author Maria Samarakou
Emmanouil D. Fylladitakis
Dimitrios Karolidis
Wolf-Gerrit Früh
Antonios Hatziapostolou
Spyros S. Athinaios
Maria Grigoriadou
author_facet Maria Samarakou
Emmanouil D. Fylladitakis
Dimitrios Karolidis
Wolf-Gerrit Früh
Antonios Hatziapostolou
Spyros S. Athinaios
Maria Grigoriadou
author_sort Maria Samarakou
collection DOAJ
description In computer-assisted education, the continuous monitoring and assessment of the learner is crucial for the delivery of personalized education to be effective. In this paper, we present a pilot application of the Student Diagnosis, Assistance, Evaluation System based on Artificial Intelligence (StuDiAsE), an open learning system for unattended student diagnosis, assistance and evaluation based on artificial intelligence. The system demonstrated in this paper has been designed with engineering students in mind and is capable of monitoring their comprehension, assessing their prior knowledge, building individual learner profiles, providing personalized assistance and, finally, evaluating a learner's performance both quantitatively and qualitatively by means of artificial intelligence techniques. The architecture and user interface of the system are being exhibited, the results and feedback received from a pilot application of the system within a theoretical engineering course are being demonstrated and the outcomes are being discussed.
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spelling doaj.art-adbbfe9bd48040f891a54a9546c253502022-12-22T03:24:12ZengHong Kong Bao Long Accounting & Secretarial LimitedKnowledge Management & E-Learning: An International Journal2073-79042073-79042016-09-0183496513Evaluation of an intelligent open learning system for engineering educationMaria Samarakou0Emmanouil D. Fylladitakis1Dimitrios Karolidis2Wolf-Gerrit Früh3Antonios Hatziapostolou4Spyros S. Athinaios5Maria Grigoriadou6Technological Educational Institute (T.E.I.) of Athens, GreeceBrunel University London, UKTechnological Educational Institute (T.E.I.) of Athens, GreeceHeriot-Watt University, Scotland, UKTechnological Educational Institute (T.E.I.) of Athens, GreeceTechnological Educational Institute (T.E.I.) of Athens, GreeceUniversity of Athens, GreeceIn computer-assisted education, the continuous monitoring and assessment of the learner is crucial for the delivery of personalized education to be effective. In this paper, we present a pilot application of the Student Diagnosis, Assistance, Evaluation System based on Artificial Intelligence (StuDiAsE), an open learning system for unattended student diagnosis, assistance and evaluation based on artificial intelligence. The system demonstrated in this paper has been designed with engineering students in mind and is capable of monitoring their comprehension, assessing their prior knowledge, building individual learner profiles, providing personalized assistance and, finally, evaluating a learner's performance both quantitatively and qualitatively by means of artificial intelligence techniques. The architecture and user interface of the system are being exhibited, the results and feedback received from a pilot application of the system within a theoretical engineering course are being demonstrated and the outcomes are being discussed.http://www.kmel-journal.org/ojs/index.php/online-publication/article/view/404/323
spellingShingle Maria Samarakou
Emmanouil D. Fylladitakis
Dimitrios Karolidis
Wolf-Gerrit Früh
Antonios Hatziapostolou
Spyros S. Athinaios
Maria Grigoriadou
Evaluation of an intelligent open learning system for engineering education
Knowledge Management & E-Learning: An International Journal
title Evaluation of an intelligent open learning system for engineering education
title_full Evaluation of an intelligent open learning system for engineering education
title_fullStr Evaluation of an intelligent open learning system for engineering education
title_full_unstemmed Evaluation of an intelligent open learning system for engineering education
title_short Evaluation of an intelligent open learning system for engineering education
title_sort evaluation of an intelligent open learning system for engineering education
url http://www.kmel-journal.org/ojs/index.php/online-publication/article/view/404/323
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