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

Authors

  • Subhabrata Sengupta Institute of Engineering & Management
  • Anish Banerjee Institute of Engineering & Management
  • Satyajit Chakrabarti Institute of Engineering & Management

DOI:

https://doi.org/10.3991/ijet.v16i17.24105

Keywords:

E-Learning, semantic web, learning objects, ontology, efficient learning system.

Abstract


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.

Author Biographies

Subhabrata Sengupta, Institute of Engineering & Management

Information Technology

Anish Banerjee, Institute of Engineering & Management

Information Technology

Satyajit Chakrabarti, Institute of Engineering & Management

Computer Science & Engineering

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Published

2021-09-06

How to Cite

Sengupta, S., Banerjee, A., & Chakrabarti, S. (2021). Relevant Influence of Semantic Web Framework on Smart E-Learning Environment. International Journal of Emerging Technologies in Learning (iJET), 16(17), pp. 177–190. https://doi.org/10.3991/ijet.v16i17.24105

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Section

Papers