2012 ©
             Publication
Journal Publication
Title of Article Adapting Fleming-Type Learning Style Classifications to Deaf Student Behavior 
Date of Acceptance 14 April 2022 
Journal
     Title of Journal Sustainability  
     Standard ISI 
     Institute of Journal MDPI 
     ISBN/ISSN ISSN 2071-1050 
     Volume 14 
     Issue
     Month April
     Year of Publication 2022 
     Page 4799 
     Abstract This study presents the development of a novel integrated data fusion and assimilation technique to classify learning experiences and patterns among deaf students using Fleming’s model together with Thai Sign Language. Data were collected from students with hearing disabilities (Grades 7–9) studying at special schools in Khon Kaen and Udon Thani, Thailand. This research used six classification algorithms with data being resynthesized and improved via the application of feature selection, and the imbalanced data corrected using the synthetic minority oversampling technique. The collection of data from deaf students was evaluated using a 10-fold validation. This revealed that the multi-layer perceptron algorithm yields the highest accuracy. These research results are intended for application in further studies involving imbalanced data problems. 
     Keyword classification; deaf students; feature selection; imbalanced data; learning style 
Author
607020024-8 Miss TIDARAT LUANGRUNGRUANG [Main Author]
College of Computing Doctoral Degree

Reviewing Status มีผู้ประเมินอิสระ 
Status ตีพิมพ์แล้ว 
Level of Publication นานาชาติ 
citation false 
Part of thesis true 
Attach file
Citation 0