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Concept of expert system for creation of personalized, digital skills learning pathway
Author(s) -
Przemysław Różewski,
Magdalena Kieruzel,
Tomasz Lipczyński,
Marcin Prys,
MiguelÁngel Sicilia,
Elena GarcíaBarriocanal,
Salvador SánchezAlonso,
C. Taney Hamill,
Carme Royo,
Francesca Uras
Publication year - 2019
Publication title -
procedia computer science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.334
H-Index - 76
ISSN - 1877-0509
DOI - 10.1016/j.procs.2019.09.405
Subject(s) - computer science , digital learning , competence (human resources) , the internet , digital transformation , multimedia , set (abstract data type) , personalization , world wide web , knowledge management , social psychology , programming language , psychology
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.

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