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...
Main Authors: | , , , , , , |
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Format: | Article |
Language: | English |
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Hong Kong Bao Long Accounting & Secretarial Limited
2016-09-01
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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. |
first_indexed | 2024-04-12T16:56:57Z |
format | Article |
id | doaj.art-adbbfe9bd48040f891a54a9546c25350 |
institution | Directory Open Access Journal |
issn | 2073-7904 2073-7904 |
language | English |
last_indexed | 2024-04-12T16:56:57Z |
publishDate | 2016-09-01 |
publisher | Hong Kong Bao Long Accounting & Secretarial Limited |
record_format | Article |
series | Knowledge Management & E-Learning: An International Journal |
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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