Decision support systems often require knowledge of users' preferences. However, preferences may vary among individual users or be diicult for users to articulate. This paper describes how user preferences can be acquired in the form of preference predicates by a learning apprentice system and proposes two new instance-based algorithms for preference predicate acquisition: 1ARC and Compositiona...

A number of studies in traditional class based education show that students whose learning styles match with the instructional approach “tend to retain information longer, apply it more effectively, and have more effective post course attitudes towards the subject than do their counterparts who experience learning/teaching mismatch. Thus, the goals of a “good instructor” should be both to adapt...

This Research paper focused on Classification accuracy based on Users’ Preferences from the Web Learning System. This comparative study considers various classification algorithms like j48, Random Tree, Random Forest, CART and Naive Bayes in the Web Learning System. It also focuses on Artificial Neural Network (ANN) algorithms. The classification accuracy is identified by user’s requirements ba...

Slater JA, Lujan HL, DiCarlo SE. Does gender influence learning style preferences of first-year medical students? Adv Physiol Educ 31: 336–342, 2007; doi:10.1152/advan.00010.2007.—Students have specific learning style preferences, and these preferences may be different between male and female students. Understanding a student’s learning style preference is an important consideration when design...