Proceedings of the International Conference on Online and Blended Learning 2019 (ICOBL 2019)

Students’ Self-Monitoring Skill Classification in Learning Activities

Authors
Intan Sulistyaningrum Sakkinah, Rudy Hartanto, Adhistya Erna Permanasari
Corresponding Author
Intan Sulistyaningrum Sakkinah
Available Online 22 May 2020.
DOI
10.2991/assehr.k.200521.014How to use a DOI?
Keywords
students’ self-monitoring, skill classification, learning activities
Abstract

Intelligent Tutoring System (ITS) provides personalized instruction based on the level of knowledge and learning preferences of students. At ITS, student modeling has an important role; the role of student modeling in ITS includes student knowledge that is used to produce lessons, problems, feedback, and personalized learning guidance. ITS has the potential to develop into metacognitive tools. One of the metacognitive strategies is self-monitoring. Self-monitoring is a metacognitive strategy that students possibly control their learning activities. Developing an ITS with metacognitive needs rules for the treatment. The rules in ITS are from the classification method. This study focuses on self-monitoring skill as the metacognitive strategy to develop ITS. This paper will provide a method which can classify students’ self-monitoring skill. Bayesian network is used as a method to classify students’ self-monitoring in this research. The result shows that the Bayesian network can classify students’ self-monitoring skill accurately. The accuracy result for the classification is 94%. The classification of self-monitoring skill can be used to develop metacognitive scaffolding in an ITS.

Copyright
© 2020, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the International Conference on Online and Blended Learning 2019 (ICOBL 2019)
Series
Advances in Social Science, Education and Humanities Research
Publication Date
22 May 2020
ISBN
10.2991/assehr.k.200521.014
ISSN
2352-5398
DOI
10.2991/assehr.k.200521.014How to use a DOI?
Copyright
© 2020, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Intan Sulistyaningrum Sakkinah
AU  - Rudy Hartanto
AU  - Adhistya Erna Permanasari
PY  - 2020
DA  - 2020/05/22
TI  - Students’ Self-Monitoring Skill Classification in Learning Activities
BT  - Proceedings of the International Conference on Online and Blended Learning 2019 (ICOBL 2019)
PB  - Atlantis Press
SP  - 66
EP  - 69
SN  - 2352-5398
UR  - https://doi.org/10.2991/assehr.k.200521.014
DO  - 10.2991/assehr.k.200521.014
ID  - Sakkinah2020
ER  -