Model detecting learning styles with artificial neural network
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...
Main Authors: | Muhammad Said Hasibuan, Lukito Edi Nugroho, Paulus Insap Santosa |
---|---|
Format: | Article |
Language: | English |
Published: |
OmniaScience
2019-02-01
|
Series: | Journal of Technology and Science Education |
Subjects: | |
Online Access: | http://www.jotse.org/index.php/jotse/article/view/540 |
Similar Items
-
Artificial Neural Network and Latent Semantic Analysis for Adverse Drug Reaction Detection
by: Ahmed Adil Nafea, et al.
Published: (2024-01-01) -
Detection of learning styles with prior knowledge data using the SVM, K-NN and Naïve Bayes algorithms
by: Muhammad Said Hasibuan, et al.
Published: (2022-08-01) -
Artificial neural network for learning personalisation
by: Andrius Berniukevičius, et al.
Published: (2017-12-01) -
Language and style : collected papers /
by: 329709 Ullmann, Stephen
Published: (1964) -
Image Neural Style Transfer With Preserving the Salient Regions
by: Yijun Liu, et al.
Published: (2019-01-01)