A systematic literature review of the current discussion on mathematical modelling competencies: state-of-the-art developments in conceptualizing, measuring, and fostering

多样性(控制论) 构造(python库) 管理科学 系统回顾 计算机科学 优势(遗传学) 数学教育 工程伦理学 心理学 工程类 人工智能 政治学 基因 化学 程序设计语言 法学 生物化学 梅德林
作者
Mustafa Çevikbaş,Gabriele Kaiser,Stanislaw Schukajlow
出处
期刊:Educational Studies in Mathematics [Springer Science+Business Media]
卷期号:109 (2): 205-236 被引量:102
标识
DOI:10.1007/s10649-021-10104-6
摘要

Abstract Mathematical modelling competencies have become a prominent construct in research on the teaching and learning of mathematical modelling and its applications in recent decades; however, current research is diverse, proposing different theoretical frameworks and a variety of research designs for the measurement and fostering of modelling competencies. The study described in this paper was a systematic literature review of the literature on modelling competencies published over the past two decades. Based on a full-text analysis of 75 peer-reviewed studies indexed in renowned databases and published in English, the study revealed the dominance of an analytical, bottom-up approach for conceptualizing modelling competencies and distinguishing a variety of sub-competencies. Furthermore, the analysis showed the great richness of methods for measuring modelling competencies, although a focus on (non-standardized) tests prevailed. Concerning design and offering for fostering modelling competencies, the majority of the papers reported training strategies for modelling courses. Overall, the current literature review pointed out the necessity for further theoretical work on conceptualizing mathematical modelling competencies while highlighting the richness of developed empirical approaches and their implementation at various educational levels.
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