12091

11077

كارشناسي ارشد

هوش مصنوعي

اصفهان: دانشگاه صنعتي اصفهان، دانشكده برق و كامپيوتر

1395

دوازده،62ص.: مصور، جدول، نمودار

ص. ع. به فارسي و انگليسي

محمد علي منتظري

واژه نامه

ناصر قديري، محمد حسين منشئي

1395/11/16

كتابنامه

برق و كامپيوتر

مهندسي برق و كامپيوتر

ID11077

۶ Abstract Individual differences in learning has long been of interest to educators The idea thatindividual differences in learning it solely due to differences in intelligence and ability tolive long in the world of education was accepted but later was changed The researchersshowed that students have different learning styles different means of information andanalysis they learn Today it s clear that different people learn only partly depend on theirintelligence and abilities so other factors such as personality traits task difficulty anddifferent styles are also involved In general the term light refers to the dominant paradigmperson doing things Learning styles preferences or usual method for learning Smartlearning process model in the educational system called a learner model Learning modelincludes features such as knowledge interests goals background emotional behavior personal characteristics cognitive characteristics and learning styles Using these featureslearner behavior and how to process user information to predict and therefore trainingservices will be provided in accordance with his needs The study focuses on thecharacteristics of the learning style Learning style preferences and individual approach tolearning notes Studies show that taking into account the learning style of education increase the quality of learning Conventional methods to extract learning style using aquestionnaire Inventory problems with it such as boring are not changes to individuallearning styles choose incorrect answers mentioned Automatic detection of the method oflearning styles as an alternative to conventional methods used The feature can be used toextract network of clubs such as feature extraction method or the characterization of theindividual in a manner Duff or use the nearest neighbor s fuzzy At the end of acombination of tree structure and fuzzy logic is used to determine the learning style Theproposed method is based on 4596 data from the knowledge base of students that AcerAustralia has been extracted were studied Using features to reduce PCA unnecessaryfeatures have been removed and then a variety of fuzzy decision tree algorithms have beenimplemented on these features The results indicate good accuracy of the proposed methodcompared to other methods that were used in the decision tree is

محمد علي منتظري

ناصر قديري، محمد حسين منشئي