The Development of Learning Devices with Realistics Mathematics Education Based in Program of Mechanical Engineering and Automotive Engineering

Open

A. Huda, A. Armiati

2020 Journal of Physics: Conference Series Vol. 1554 Issue 1 Conference paper Cited by 1 SDG 4 Quartile

Abstract

The aim of this research is to develop the math learning devices with RME-based in mechanical engineering and automotive engineering programs for students of grade 10. The devices designed are adjusted to the students' major. The students of mechanical engineering learn about design, construction and operation of machinery, while automotive engineering students focus on the design and construction of cars. Learning devices were designed in the form of lesson plans and students' worksheets. The development model used in this research was Plomp model. This paper focuses on the preliminary research. The preliminary research covers needs analysis, curriculum analysis, concept analysis and students analysis. The instruments used were questionnaire sheets, interview sheets, and observations. Data analysis technique is a qualitative data analysis technique. The result of the preliminary research shows the learning devices made by the teachers were universal for all major and ignore the character of each major, neither mechanical engineering nor automotive engineering. The curriculum analysis done toward the syllabus and KD of math and the productive subjects related. The result of this preliminary research will be a guidance in prototype of learning devices that will plan. © 2020 Published under licence by IOP Publishing Ltd.

Affiliations

Mathematics Department, Universitas Negeri Padang, Padang, Indonesia

Research at a Glance

Premium content — register to unlock

Research at a Glance

Register to unlock

Topics & SDG Alignment

Premium content — register to unlock

Topics & SDG Alignment

Register to unlock

Collaboration

Premium content — register to unlock

Collaboration

Register to unlock

Author Profile (Selected)

Premium content — register to unlock

Author Profile (Selected)

Register to unlock

References Overview

Premium content — register to unlock

References Overview

Register to unlock

Journal & Source

Premium content — register to unlock

Journal & Source

Register to unlock

Metadata & Integrity

Premium content — register to unlock

Metadata & Integrity

Register to unlock