与土木工程专业学生一起开展模型选择活动,以解决涉及二项分布的问题

Q3 Social Sciences
Martha Elena AGUIAR BARRERA, Humberto Gutiérrez Pulido, Verónica Vargas Alejo
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引用次数: 0

摘要

本研究介绍了一项名为 "砖场 "的模型选择活动的实施结果,该活动旨在促进二项分布的学习。该活动采用的理论框架是 "模型与建模视角",参与者是墨西哥瓜达拉哈拉大学土木工程本科专业概率与统计课程的本科生。这项活动在三个学期中不断完善,我们在此报告学生们在第四次实施中生成的模型。在实施活动的第一阶段,学生们提出了错误的解决方案,这些解决方案都是基于比例和线性思维的想法。该活动旨在抑制这类解法,鼓励学生认识到他们面对的是随机现象,需要用概率分布来解 决问题。学生们使用 RStudio 软件计算概率。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
MODEL-ELECTING ACTIVITY WITH CIVIL ENGINEERING STUDENTS TO SOLVE A PROBLEM INVOLVING BINOMIAL DISTRIBUTION
This research presents the results of the implementation of a model-electing activity called Brickyards, designed to promote the learning of the binomial distribution. The theoretical framework used was the Models and Modeling Perspective, and the participants were undergraduate students enrolled in a probability and statistics course of the Bachelor Civil Engineering Program at the University of Guadalajara, Mexico. The activity was refined during three semesters, and here we report the models generated by the students in the fourth implementation. In the first stage of the activity of this implementation, students proposed wrong solutions, which were based on ideas of proportionality and linear thinking. The activity was designed to inhibit these types of solutions and to encourage students to realize when they are dealing with a random phenomenon, and that they need a probability distribution to solve the activity. The students used RStudio software to calculate probabilities.
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来源期刊
Statistics Education Research Journal
Statistics Education Research Journal Social Sciences-Education
CiteScore
1.30
自引率
0.00%
发文量
46
期刊介绍: SERJ is a peer-reviewed electronic journal of the International Association for Statistical Education (IASE) and the International Statistical Institute (ISI). SERJ is published twice a year and is free. SERJ aims to advance research-based knowledge that can help to improve the teaching, learning, and understanding of statistics or probability at all educational levels and in both formal (classroom-based) and informal (out-of-classroom) contexts. Such research may examine, for example, cognitive, motivational, attitudinal, curricular, teaching-related, technology-related, organizational, or societal factors and processes that are related to the development and understanding of stochastic knowledge. In addition, research may focus on how people use or apply statistical and probabilistic information and ideas, broadly viewed. The Journal encourages the submission of quality papers related to the above goals, such as reports of original research (both quantitative and qualitative), integrative and critical reviews of research literature, analyses of research-based theoretical and methodological models, and other types of papers described in full in the Guidelines for Authors. All papers are reviewed internally by an Associate Editor or Editor, and are blind-reviewed by at least two external referees. Contributions in English are recommended. Contributions in French and Spanish will also be considered. A submitted paper must not have been published before or be under consideration for publication elsewhere.
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