03-7967 7351 umcic@um.edu.my



  • Identification and classification of primitive elements in the document according to learning style.
  • Mapping of the classified primitive elements onto learning style preferences 
  • Identification of identifiers for feature vectors using Learning Object Metadata.
  •  Feature Extraction Algorithm, a novel algorithm that extracts and classifies document onto learning style preference. 
  • Matching Algorithm, a novel algorithm that matches document onto students’  learning style preference.
  • Adoption of hybrid recommender technology.
  •  Adoption of an adaptive learning environment.

The Advantages:

  • To help the reader locate documents effectively and efficiently, minimizing the risk of impairing learning progress by selecting unsuitable reading material.
  • Updating the student’s learning style according to their learning situation and preferences 

Get the technology fact sheet here:

For any inquiries, kindly contact:

Lee Ching Shya

UMCIC Business Officer University of Malaya

Email: leecs@um.edu.my

Tel: +603-7967-7351/7352

Last Updated: 11/06/2019