Learners who use educational applications need to get suitable learning material in their concerned domain. However, their level of knowledge, preferences and interests are different. The e-learning system should be able to deliver suitable learning materials based on learner’s preferences and knowledge. The solution is knowledge based personalized model-driven approach. The learner-model and d...

OBJECTIVES To investigate the relationship between the learning style preferences of Saudi medical students and their academic achievements. METHODS A cross-sectional study was conducted among 600 medical students at King Saud University in Riyadh, Kingdom of Saudi Arabia from October 2012 to July 2013. The Visual, Aural, Read/Write, and Kinesthetic questionnaire (VARK) questionnaire was used...

In Dutch secondary education, experiments with powerful social constructivist learning environments are conducted that aim to appeal to students’ intrinsic goal orientations, use of deep cognitive learning strategies, and self-direction of meta-cognitive learning strategies. The aim of this study is to gain insight into the relation between learning environment characteristics and students’ goa...

Newborn humans preferentially orient to facelike patterns at birth, but months of experience with faces are required for full face processing abilities to develop. Several models have been proposed for how the interaction of genetic and environmental influences can explain these data. These models generally assume that the brain areas responsible for newborn orienting responses are not capable ...

Abstract Do people know their own risk preferences, or do choices change with experience and observation? We provide a straightforward test in the laboratory. People make an initial decision concerning lottery choice then 24 unpaid practice periods which they roll dice, record outcome, would-be payoff. They final for choice; one of first last is randomly chosen payment. Our primary hypothesis t...

In this paper we propose the acquisition of a set of preferences of collaboration between classifiers based on decision trees. A classifier uses a well-known algorithm (k-NN with leaf-one-out) on its own knowledge base to generate a set of tuples with information about the object to be classified, the number of similar precedents, the maximum similarity, and about if it is a situation of collab...

his research studies the preferred learning style of both teacher and students in subject Additional Mathematics. The study focuses on two types styles: student-centered teaching teacher-centered teaching. involved 200 between ages 12 17 years old. A modified Principle Adult Learning Scale (PALS) developed by Gary J. Conti was used to assess perception toward their teacher’s styles. data analys...