Model detecting learning styles with artificial neural network

• Main Authors: Muhammad Said Hasibuan (Author), Lukito Edi Nugroho (Author), Paulus Insap Santosa (Author)
• Format: Book
• Published: OmniaScience, 2019-02-01T00:00:00Z.
• Subjects: article
• Online Access: Connect to this object online.
• Notes: 2013-6374; 10.3926/jotse.540
• Keywords: Detection learning style, latent semantic indexing, artificial neural network; Education; L; Special aspects of education; LC8-6691; Technology; T; Engineering (General). Civil engineering (General); TA1-2040
• Source: Journal of Technology and Science Education, Vol 9, Iss 1, Pp 85-95 (2019)

Currently the detection of learning styles from the external aspect has not produced optimal results. This research tries to solve the problem by using an internal approach. The internal approach is one that derives from the personality of the learner. One of the personality traits that each learner possesses is prior knowledge. This research starts with the prior knowledge generation process using the Latent Semantic Indexing (LSI) method. LSI is a technique using Singular Value Decomposition (SVD) to find meaning in a sentence. LSI works to generate the prior knowledge of each learner. After the prior knowledge is raised, then one can predict learning style using the artificial neural network (ANN) method. The results of this study are more accurate than the results of detection conducted with an external approach.