UMM Institutional Repository

Analysis of Mathematical Thinking Styles through Oral Test for Proving Curvature Theorem

Ummah, Siti Khoiruli (2018) Analysis of Mathematical Thinking Styles through Oral Test for Proving Curvature Theorem. In: Proceedings of the 5th International Conference on Community Development (AMCA 2018). Advances in Social Science, Education and Humanities Research . Atlantis Press, pp. 464-467. ISBN 978-94-6252-561-0

[img]
Preview
Text
Peer Review - Ummah - Mathematical Thinking Styles Oral Test.pdf

Download (262kB) | Preview
[img]
Preview
Text
Similarity - Ummah - Mathematical Thinking Styles Oral Test.pdf

Download (1MB) | Preview
[img]
Preview
Text
Ummah - Mathematical Thinking Styles Oral Test.pdf

Download (2MB) | Preview

Abstract

The objective of the research was to analyze mathematical thinking style through the oral test to prove the theorem of the curvature. Mathematical thinking style was divided into three:visual thinking styles, analytical thinking styles, and integrated thinking style. The research method used was descriptive using qualitative data. The data were collected through oral test using the recording of interview. Students who have a visual thinking could explain the proof of theorem graphically. Students who have an analytical thinking style used the mathematics symbol to prove the theorem. Students with integrated thinking style could prove a theorem not only draw the proof graphically but also explained the proof orally.

Item Type: Book Section / Proceedings
Keywords: Mathematical Thinking Styles, Oral Test, Proving Theorem
Subjects: L Education > L Education (General)
Divisions: Faculty of Teacher Training and Education > Department of Mathematics Education (84202)
Depositing User: Siti Khoiruli Ummah
Date Deposited: 06 Feb 2019 06:22
Last Modified: 20 Mar 2019 02:49
URI : http://eprints.umm.ac.id/id/eprint/43973

Actions (login required)

View Item View Item
UMM Official

© 2008 UMM Library. All Rights Reserved.
Jl. Raya Tlogomas No 246 Malang East Java Indonesia - Phone +62341464318 ext. 150, 151 - Fax +62341464101
E-Mail : infopus[at]umm.ac.id - Website : http://lib.umm.ac.id - Online Catalog : http://laser.umm.ac.id - Repository : http://eprints.umm.ac.id

Web Analytics

UMM Institutional Repository is powered by :
EPrints Logo