Lesson Study to Improve Students’ Self-Directed Learning in Mathematics

DOI

10.2991/assehr.k.200827.027How to use a DOI?

Keywords

lesson study, self-directed learning, capita selecta in mathematics

Abstract

Being independent in learning or usually be called as having self-directed learning ability is important to determine the success of study in higher education. However, based on the observation in the previous academic semester, it was found that the students in mathematics education study program tend to wait their lecturers to inform the knowledge without any effort to learn independently. Therefore, the present study aimed to develop the students’ self-directed learning skill through the implementation of lesson study. The steps applied are Plan, Do and See repeated in three cycles. The subject of the study was 20 third year-students of mathematics education study program who took of Capita Selecta in Mathematics course. Data were gathered using observation technique and analyzed qualitatively using descriptive method to gain the relationship between the quality of learning process and students’ self-directed learning. The study revealed that lesson study in Capita Selecta in Mathematics was able to enhance students’ self-directed learning. It can be seen from the students’ awareness to learn the upcoming study materials and contribute in discussion with lecturer and their peers.

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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TY  - CONF
AU  - Baidowi Baidowi
AU  - Nurul Hikmah
AU  - Eka Kurniawan
AU  - Ratih Ayu Apsari
PY  - 2020
DA  - 2020/08/28
TI  - Lesson Study to Improve Students’ Self-Directed Learning in Mathematics
BT  - Proceedings of the 1st Annual Conference on Education and Social Sciences (ACCESS 2019)
PB  - Atlantis Press
SP  - 103
EP  - 106
SN  - 2352-5398
UR  - https://doi.org/10.2991/assehr.k.200827.027
DO  - 10.2991/assehr.k.200827.027
ID  - Baidowi2020
ER  -