International Journal of Management and Applied Science (IJMAS)
current issues
Volume-4,Issue-8  ( Aug, 2018 )
Past issues
  1. Volume-4,Issue-8  ( Aug, 2018 )
  2. Volume-4,Issue-7  ( Jul, 2018 )
  3. Volume-4,Issue-6  ( Jun, 2018 )
  4. Volume-4,Issue-5  ( May, 2018 )
  5. Volume-4,Issue-4  ( Apr, 2018 )
  6. Volume-4,Issue-3  ( Mar, 2018 )
  7. Volume-4,Issue-2  ( Feb, 2018 )
  8. Volume-4,Issue-1  ( Jan, 2018 )
  9. Volume-3,Issue-12  ( Dec, 2017 )
  10. Volume-3,Issue-11  ( Nov, 2017 )

Statistics report
Nov. 2018
Submitted Papers : 80
Accepted Papers : 10
Rejected Papers : 70
Acc. Perc : 12%
Issue Published : 54
Paper Published : 3316
No. of Authors : 6857
  Journal Paper




Paper Title :
An Adaptive Learning Ontological Framework Based on Learning Styles and Teaching Strategies

Author :Shaimaa M. Nafea, Francois Siewe, Ying He

Article Citation :Shaimaa M. Nafea ,Francois Siewe ,Ying He , (2017 ) " An Adaptive Learning Ontological Framework Based on Learning Styles and Teaching Strategies " , International Journal of Management and Applied Science (IJMAS) , pp. 60-68, Volume-3,Issue-11

Abstract : Ontology are increasingly being used in a variety of applications, and particularly in adaptive e-learning. They have the potential to enable developers to create adaptive course content for specified domains. E-learning applications are thus able to use technology and educational content in order to generate content that matches the student's capabilities and knowledge. This personalises learning, rather than assuming that "one-size-fits-all" and providing all learners with the same content, which is what the majority of e-learning systems do. This study introduces a new approach that takes into account the fact that each learner has an individual learning style and needs. The approach enables to adapt the course content, teaching strategy and learning objects so that they correspond to each student’s learning styles. This is achieved with the use of artificial intelligent in the form of an ontology and rule-based reasoning.The proposed system takes some of the key design aspects such asextensibility, reusability, and maintainability into consideration in order toenhance performance of adaptive course content recommendation. Index Terms - E-learning, Ontology, Semanticweb, Adaptive Student Profile, learning style(LS), teaching strategy ,Learning objects(LOs) , Adaptive Educational Systems (AES).

Type : Research paper

Indexed : Google Scholar


Copyright: © Institute of Research and Journals

| PDF |
Viewed - 29
| Published on 2018-01-25
   
   
IRAJ Other Journals
IJMAS updates
IJMAS -THANK YOU ALL FOR CONTRIBUTING YOUR PAPER TO IJMAS DECEMBER ISSUE.ALL AUTHORS ARE REQUESTED TO GET THEIR HARD COPY NOW.
The Conference World

JOURNAL SUPPORTED BY