Mathematical Representation Abilities and Self-Confidence through Application of Discovery Learning Model with Geogebra-assisted
- DOI
- 10.2991/978-2-38476-216-3_11How to use a DOI?
- Keywords
- Mathematics Representation Ability; Self-Confidence; Discovery Learning; Geogebra
- Abstract
The research aims to determine the increase in mathematics representation abilities and self-confidence of senior high school students, with an emphasis on implementation of the discovery learning model with Geogebra-assisted. This research is quantitative research with a true experimental design method with a pretest-posttest design. The population of this research was class XI students from one senior high school in Aceh, Indonesia. A simple random sampling used to choose 100 students. The instrument to obtain data on mathematical representation abilities was tested while to obtain data about self-confidence was a questionnaire. Research data was analyzed by N-gain and t-test. The results revealed that increasing the mathematics representation abilities and self-confidence of students through the discovery learning model with Geogebra-assisted is better than students taught through conventional learning.
- Copyright
- © 2024 The Author(s)
- Open Access
- Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.
Cite this article
TY - CONF AU - Dwy Lestari AU - Usman Usman AU - Said Munzir PY - 2024 DA - 2024/03/31 TI - Mathematical Representation Abilities and Self-Confidence through Application of Discovery Learning Model with Geogebra-assisted BT - Proceedings of the 2nd Annual International Conference on Mathematics, Science and Technology Education (AICMSTE 2023) PB - Atlantis Press SP - 98 EP - 106 SN - 2352-5398 UR - https://doi.org/10.2991/978-2-38476-216-3_11 DO - 10.2991/978-2-38476-216-3_11 ID - Lestari2024 ER -