… accordance to their learning styles. It … learning styles are not supported. This study focuses
in the detection and identification of student’s learning style in the context of a virtual learning …

… misclassification of individual students learning style. Hence, … decision rules to strengthen
the existing decision tree classifier to accurately and precisely classify students learning style …

… The Kolb’s learning styles [12] is used to understand the learning styles of the students
and for automatic detection of LS, the Decision Tree Induction is used. The web logs of the e-…

… Many use classification algorithms, including Decision Tree, Neural Network, and Bayesian
Network, based on several similar studies for learning style prediction. The Decision Tree …

… to their learning style. This paper proposes a new method that uses fuzzy decision trees to
… for all dimensions of the Felder Silverman Learning Styles model. Results using live data …

… to classify VARK learning styles of learners by using Decision Tree C4.… yielded a result of
learners’ VARK learning styles with an … The decision tree obtained from the VARK learning style …

… Hence, this study aimed to facilitate SCL application in dentistry utilising a decision tree
machine learning (ML) technique to map dental students’ preferred learning styles (LS) with …

… decision tree is used in this study as the classifier for classification of VARK learning style. …
For this study, TP means the classifed learning style by decision tree is classifed the same as …

… of classification for decision tree involved 6 decision tree classification methods. These were
namely: J48, LMT, Random Forest, Random Tree, REP Tree and Decision Stump. First, in …

… The method used for classification is to use three classifications: Decision Tree, Naïve …
showed that the Decision Tree method could better detect and predict learning styles, namely …