A novel intelligent learning for teaching using artificial neural network

• Main Authors: Wahyono, Irawan Dwi, Asfani, Khoirudin, Mohamad, Mohd. Murtadha, Saryono, Djoko, Kurniawan, Dediek Tri, Sunarti, S.
• Format: Conference or Workshop Item
• Published: 2020
• Subjects: QA75 Electronic computers. Computer science
• Online Access: http://eprints.utm.my/id/eprint/92463/; http://dx.doi.org/10.1109/ICOVET50258.2020.9230093
• Institution: Universiti Teknologi Malaysia

This study aimed to develop and uncover the level of accuracy of the decision results provided by intelligent learning to create conditions for an independent learning process. This learning had an intelligent ability to adapt to students' learning, where the students can obtain knowledge and skills according to their level of need. This intelligent learning made it easy for teachers to evaluate and develop student competencies. This intelligent learning used Artificial Neural Network (ANN) in student and teacher learning activities. Input from ANN in this intelligent learning was the results of pre-Test and post-Test which had information in the form of the number of questions, the level of difficulty, the level of achievement, the number of questions worked, the time worked out, and the number of error working on the questions. The output of ANN on intelligent learning was the decision to proceed to the next learning for students. The results of trials on this intelligent learning obtained an average accuracy rate of 87.5%.