| Issue |
SHS Web of Conf.
Volume 174, 2023
2023 2nd International Conference on Science Education and Art Appreciation (SEAA 2023)
|
|
|---|---|---|
| Article Number | 01002 | |
| Number of page(s) | 5 | |
| Section | Educational Practice and Teaching Curriculum Reform | |
| DOI | https://doi.org/10.1051/shsconf/202317401002 | |
| Published online | 11 August 2023 | |
A Study on the Implementation of Teaching Mathematical Modeling Classes Based on Mathematical Learning Objectives
Central University for Nationalities, BeiJing, China
* Corresponding author: 1002953538@qq.com
Mathematical modeling literacy is one of the six core literacies in high school mathematics and occupies an important place in the objectives of the high school mathematics curriculum. “The core element of mathematical modeling literacy is to abstract mathematically from real problems, express them in mathematical language, and construct models to solve them with mathematical methods. The STEAM education concept has received much attention in the education field because of its effective integration of “science, technology, engineering, art and mathematics” in the practice of education and teaching, which not only makes up for the shortage of traditional teaching in knowledge inquiry, but also helps to improve the problems of traditional classrooms. This paper explores the development of mathematical modeling literacy in high school by drawing on the STEAM education concept, and examines the effectiveness of the integration of the two through specific teaching cases.
© The Authors, published by EDP Sciences, 2023
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.