Klekovska, Mimoza and Martinovska Bande, Cveta and Kotevski, Aleksandar (2022) Transition of educational paradigms. EDULEARN22 Proceedings . IATED Academy, Valencia, Spain. ISBN 978-84-09-42484-9 / ISSN: 2340-1117
Full text not available from this repository.Abstract
This work proposes a complete online learning environment which combines several aspects: categorization of students based on their abilities, learning styles and preferences, adaptability of the presented contents, recommendation of appropriate learning materials. Besides offering series of conventional services, abundancy of information available, message delivery, to effectively meet the needs, preferences, and different knowledge backgrounds the system offers the possibility of selecting the most adequate learning materials: text, images, video, audio and links to external websites. Tag-based collaborative filtering is used for recommendation of learning materials to the student. Within the process of finding appropriate materials to be recommended to the student, the system determines the degree of similarity of the tags most often used by the student with the words in the title, abstract and keywords of the papers. Categorization of students is based on the learning style (VART model) and all activities related to the interaction with the system, such as visited pages, teaching materials and external publications, tags and notes entered in the process of learning, ratings set to the teaching materials, etc. Important aspect of this learning system is generating and recommending adequate teaching materials as well as appropriate tags and ratings. The list of recommended contents is generated by finding similar profiles and learning materials. Information retrieval algorithms are used to determine the similarity between student profiles and teaching materials used. The advantage of this learning system in comparison with the traditional ones lies in the possibility to use knowledge about the domain and the teaching strategies to support individualized learning.
| Item Type: | Book |
|---|---|
| Subjects: | Natural sciences > Computer and information sciences |
| Divisions: | Faculty of Computer Science |
| Depositing User: | Cveta Martinovska Bande |
| Date Deposited: | 28 Nov 2022 12:03 |
| Last Modified: | 28 Nov 2022 12:03 |
| URI: | https://eprints.ugd.edu.mk/id/eprint/30029 |
Actions (login required)
 |
View Item |