Productive Mathematical Whole-Class Discussions: a Mixed-Method Approach Exploring the Potential of Multiple-Choice Tasks Supported by a Classroom Response System

Author:

Gustafsson PatrikORCID

Abstract

AbstractIn recent decades, research has stressed the prominence of mathematics classroom discussions in productive instructional practices in mathematics instruction. In this context, problem-solving activities have been a common focus of research. Research shows that teachers need to deal with prerequisites and challenges such as norms, design of tasks, activating students, and leading students’ discussion to achieve a productive whole-class discussion. However, another promising activity for achieving productive discussions involves using a classroom response system and implementing different task types in a multiple-choice format. There is little knowledge about whole-class discussions using this approach. To meet this need, this paper presents results from a mixed-method approach that characterizes whole-class discussions to explore the potential of multiple-choice tasks supported by a classroom response system to achieve productive whole-class discussions. Three types of multiple-choice tasks were implemented in the classrooms of twelve mathematics teachers at secondary schools. The lessons, including 35 whole-class discussions, were video-recorded, transcribed, and analyzed. The results summarize the characteristics of these whole-class discussions, including measures of students’ opportunities to talk and teacher and student actions. These results can help us develop a more profound understanding of whether and how multiple-choice tasks supported by a classroom response system can support teachers in achieving productive whole-class discussions.

Funder

Mälardalen University

Publisher

Springer Science and Business Media LLC

Subject

General Mathematics,Education

Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

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