E3S Web Conf.
Volume 328, 2021International Conference on Science and Technology (ICST 2021)
|Number of page(s)||7|
|Section||Mathematic Model, Learning Modelep, Epidemic Model|
|Published online||06 December 2021|
Students’ Creative Thinking Based on Motivation to Learn During Online Learning
State University of Surabaya, Mathematics Department, Ketintang Surabaya, Indonehsia
* Corresponding author: email@example.com
This research aims to analyze high school students’ creative thinking in solving mathematical problems based on learning motivation during online learning. This type of research is qualitative descriptive research. Five tenth grade students with different levels of learning motivation during online learning, each of which is a representative of the very good and good learning motivation group were chosen to be the subjects of this research. The instruments used in this research were an learning motivation questionnaire during online learning to measure the level of student learning motivation during online learning, mathematics problems to test students’ creative thinking, and interview guidelines. The data on the results of the learning motivation questionnaire during online learning were analyzed using the Likert scale, the data on the results of the creative thinking test were analyzed based on components of creative thinking fluency, flexibility, novelty and the interview data were analyzed using the Analysis Interactive method from Miles and Huberman. The results of this study indicate that not all students with very good levels of motivation during online learning meet the components of creative thinking fluency, flexibility, and novelty. Students with a good level of motivation during online learning meet the creative thinking component, namely fluency.
Key words: students’ creative thinking / mathematics problems / learning motivation during online learning
© The Authors, published by EDP Sciences, 2021
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.