Concept of expert system for creation of personalized, digital skills learning pathway
| Autor: | Miguel-Angel Sicilia, Carme Royo, Canice Hamill, Przemysław Różewski, Francesca Uras, Elena García-Barriocanal, Marcin Prys, Magdalena Kieruzel, Salvador Sánchez-Alonso, Tomasz Lipczyński |
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| Rok vydání: | 2019 |
| Předmět: |
Multimedia
Computer science business.industry 020206 networking & telecommunications 02 engineering and technology Digital skills computer.software_genre Expert system Test (assessment) Identification (information) 0202 electrical engineering electronic engineering information engineering General Earth and Planetary Sciences 020201 artificial intelligence & image processing The Internet Set (psychology) business Erasmus+ computer Digital competence General Environmental Science PATH (variable) |
| Zdroj: | KES |
| ISSN: | 1877-0509 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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