Relevant Influence of Semantic Web Framework on Smart E-Learning Environment

Autor: Satyajit Chakrabarti, Anish Banerjee, Subhabrata Sengupta
Jazyk: angličtina
Rok vydání: 2021
Předmět:
Zdroj: International Journal of Emerging Technologies in Learning (iJET), Vol 16, Iss 17, Pp 177-190 (2021)
ISSN: 1863-0383
Popis: E-Learning systems have unbound prospects to deliver unmatched effective learning services and feedback assistance than what it is presently offering through mediums like online tutoring, or other electronic educational management services. Different stages and application potentials of Semantic Web technology and it’s architecture can be applied at different sectors and phases of the E-Learning framework to amplify the quality and versatility of services. Features of Semantic Web have been explored in the sectors with respect to instructors to plan, analyse and execute their tasks and also in making a sustainable system that interprets the structure of distributed, self organized, and self-instructed online learning to monitor it’s influence on performance. The main objective of this work is to study how electronic and online learning frameworks can be improved and enhanced by the influence of semantic web technologies in understanding and simplifying concept clarification and description, reusable learning objects (LOs), and benefits of the applying ontology in describing the learning materials for a better and more efficient learning system.
Databáze: OpenAIRE