A Hybrid Adaptive Educational eLearning Project based on Ontologies Matching and Recommendation System
| Autor: | Konstantinos Demertzis, Vasiliki Demertzi |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2020 |
| Předmět: |
Structure (mathematical logic)
FOS: Computer and information sciences Matching (statistics) Multimedia Computer science Computer Science - Information Theory E-learning (theory) Information Theory (cs.IT) Computer Science - Digital Libraries Recommender system computer.software_genre Semantics Computer Science - Information Retrieval Order (business) ComputingMilieux_COMPUTERSANDEDUCATION Digital Libraries (cs.DL) information_technology_data_management Curriculum computer Ontology alignment Information Retrieval (cs.IR) |
| Popis: | The implementation of teaching interventions in learning needs has received considerable attention, as the provision of the same educational conditions to all students, is pedagogically ineffective. In contrast, more effectively considered the pedagogical strategies that adapt to the real individual skills of the students. An important innovation in this direction is the Adaptive Educational Systems (AES) that support automatic modeling study and adjust the teaching content on educational needs and students' skills. Effective utilization of these educational approaches can be enhanced with Artificial Intelligence (AI) technologies in order to the substantive content of the web acquires structure and the published information is perceived by the search engines. This study proposes a novel Adaptive Educational eLearning System (AEeLS) that has the capacity to gather and analyze data from learning repositories and to adapt these to the educational curriculum according to the student skills and experience. It is a novel hybrid machine learning system that combines a Semi-Supervised Classification method for ontology matching and a Recommendation Mechanism that uses a hybrid method from neighborhood-based collaborative and content-based filtering techniques, in order to provide a personalized educational environment for each student. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|