Using Video to Develop Preservice Teachers’ Noticing within a Mathematical Modelling Context

Author:

Zuo Siyu1,Liu Lizhe1,Qi Chunxia1

Affiliation:

1. Beijing Normal University

Abstract

Abstract Teacher education should foster teachers’ competencies in teaching mathematical modelling since it is a demanding task. Mathematical modelling requires spontaneous reactions, which are related to the core of teachers’ competencies — teacher noticing. The study designed a video-based course to develop these competencies in the context of mathematical modelling. The findings revealed a noticeable improvement in their noticing competencies after participating in the semester-long course. In particular, the Preservice Teachers’ topical foci shifted towards modelling thinking and pedagogy. They made significantly more interpretive comments and used significantly more task-dimensional knowledge for teaching mathematical modelling to reason about events. These results appear to support the viability of using video for this purpose.

Publisher

Research Square Platform LLC

Reference48 articles.

1. Kaiser, G. The Teaching and Learning of Mathematical Modeling. In J. Cai, editors. Compendium for Research in Mathematics Education. National Council of Teachers of Mathematics; 2017. pp. 267–291.

2. The Australian Curriculum: A Look Through the Lens of Christian Education;Faull A;TEACH Journal of Christian Education,2010

3. NGACBP, CoCSSO. Common Core State Standards for Mathematics. 2010. http://www.corestandards.org/math. Accessed 15 Jan 2011.

4. Ministry of Education of the People’s Republic of China. Mathematics Curriculum Standards for Senior Secondary Schools (2017 version 2020 revised). Beijing: People’s Education Press; 2020.

5. Ministry of Education of the People’s Republic of China. Mathematics Curriculum Standards for Compulsory Education (2022 version). Beijing: Beijing Normal University Press; 2022.

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3