Think-Aloud Interviews: A Tool for Exploring Student Statistical Reasoning

被引:11
|
作者
Reinhart, Alex [1 ]
Evans, Ciaran [2 ]
Luby, Amanda [3 ]
Orellana, Josue [4 ,5 ]
Meyer, Mikaela [1 ]
Wieczorek, Jerzy [6 ]
Elliott, Peter [1 ]
Burckhardt, Philipp [1 ]
Nugent, Rebecca [1 ]
机构
[1] Carnegie Mellon Univ, Dept Stat & Data Sci, Pittsburgh, PA 15213 USA
[2] Wake Forest Univ, Dept Math & Stat, Winston Salem, NC 27101 USA
[3] Swarthmore Coll, Dept Math & Stat, Swarthmore, PA 19081 USA
[4] Carnegie Mellon Univ, Ctr Neural Basis Cognit, Pittsburgh, PA 15213 USA
[5] Carnegie Mellon Univ, Machine Learning Dept, Pittsburgh, PA 15213 USA
[6] Colby Coll, Dept Stat, Waterville, ME 04901 USA
来源
基金
美国安德鲁·梅隆基金会;
关键词
Correlation and causation; Misconceptions; Sampling distributions; Think-aloud interviews; CONCEPTIONS; VALIDITY; DESIGN;
D O I
10.1080/26939169.2022.2063209
中图分类号
G40 [教育学];
学科分类号
040101 ; 120403 ;
摘要
Think-aloud interviews have been a valuable but underused tool in statistics education research. Think-alouds, in which students narrate their reasoning in real time while solving problems, differ in important ways from other types of cognitive interviews and related education research methods. Beyond the uses already found in the statistics literature-mostly validating the wording of statistical concept inventory questions and studying student misconceptions-we suggest other possible use cases for think-alouds and summarize best-practice guidelines for designing think-aloud interview studies. Using examples from our own experiences studying the local student body for our introductory statistics courses, we illustrate how research goals should inform study-design decisions and what kinds of insights think-alouds can provide. We hope that our overview of think-alouds encourages more statistics educators and researchers to begin using this method. Supplementary materials for this article are available online.
引用
收藏
页码:100 / 113
页数:14
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