Title | ||
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Concept of expert system for creation of personalized, digital skills learning pathway. |
Abstract | ||
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Nowadays there is a huge number of learning resources, covered different digital skills, on the Internet. In the framework of European Erasmus+ project: 'Digital Skills Accelerator' we developed dedicated to digital skills set of learning resources. Moreover, the test to analyses the level of user digital skills in form of the Online Self-Assessment Tool was developed as well. However, there is a problem with proper identification of personalized digital skills learning pathway. In the paper the expert system for creation of personalized digital skills learning pathway is proposed. The system runs on the DigComp framework to generate the user path, which consists of the ordered set of project learning resources from Digital Skills Accelerator. Selected resources best fit user's digital skills profile and will help in raising his/her digital competence. (C) 2019 The Authors. Published by Elsevier B.V. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses)/by-nc-nd/4.0/) Peer-review under responsibility of KES International. |
Year | DOI | Venue |
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2019 | 10.1016/j.procs.2019.09.405 | Procedia Computer Science |
Keywords | Field | DocType |
digital skills,learning pathway,experet system,personalisation | Ordered set,Computer science,Expert system,Artificial intelligence,Digital skills,Erasmus+,Multimedia,Machine learning,Digital competence,The Internet | Conference |
Volume | ISSN | Citations |
159 | 1877-0509 | 0 |
PageRank | References | Authors |
0.34 | 0 | 10 |
Name | Order | Citations | PageRank |
---|---|---|---|
Przemyslaw Rózewski | 1 | 0 | 2.03 |
Magdalena Kieruzel | 2 | 0 | 1.69 |
Tomasz Lipczynski | 3 | 0 | 1.69 |
Marcin Prys | 4 | 0 | 1.35 |
Miguel-Ángel Sicilia | 5 | 479 | 61.55 |
Elena GarcíA-Barriocanal | 6 | 422 | 51.53 |
Salvador Sánchez Alonso | 7 | 193 | 29.09 |
Canice Hamill | 8 | 0 | 0.34 |
Carme Royo | 9 | 0 | 0.34 |
Francesca Uras | 10 | 0 | 0.34 |