Classification of Metacognitive into Two Catagories to Support the Learning Process

Authors

• Husnul Rahmawati Sakinnah, Department of Electrical and Information Technology-Universitas Gadjah MadaFollow
• Adhistya Erna Permanasari, Department of Electrical and Information Technology-Universitas Gadjah MadaFollow
• Indah Soesanti, Department of Electrical and Information Technology-Universitas Gadjah MadaFollow

Abstract

Learning outcomes are the patterns of actions, values, understanding, attitudes, appreciation and skills. Learning outcomes are related to the metacognitive of student where the elements contained in metacognitive is cognitive. The relationship between cognitive and metacognitive which is the foundation of cognitive is metacognitive. There are two components such as knowledge of metacognitive and regulation of metacognitive. In the learning process, cognitive factors are not the only one that can support, but also a metacognitive factor is a very influential factor for the success of the learning process. Thus, it is very important to do with a deeper analysis about metacognitive by identifying me-tacognitive level to support the learning process. Identification of metacognitive is performed by using Naïve Bayes Classifier algorithm (NBC) which NBC is one of an algorithm that is used for classification algorithm for data mining. In these studies, it is obtained that the accuracy scored 88,0597% when tested using NBC.

First Page

11

Last Page

16

Recommended Citation

Sakinnah, Husnul Rahmawati; Permanasari, Adhistya Erna; and Soesanti, Indah (2017) "Classification of Metacognitive into Two Catagories to Support the Learning Process," Jurnal Pendidikan Sains: Vol. 5: No. 1, Article 3.
DOI: https://doi.org/10.17977/jps.v5i1.9069
Available at: https://citeus.um.ac.id/jps/vol5/iss1/3