考试(生物学)
计算思维
可靠性(半导体)
构造(python库)
计算机科学
验证性因素分析
集合(抽象数据类型)
结构效度
样品(材料)
心理学
质量(理念)
过程(计算)
心理测量学
应用心理学
人工智能
机器学习
结构方程建模
发展心理学
古生物学
哲学
功率(物理)
物理
化学
操作系统
程序设计语言
认识论
生物
色谱法
量子力学
作者
Marc Lafuente Martínez,Olivier Lévêque,Isabel Benítez,Cécile Hardebolle,Jessica Dehler Zufferey
标识
DOI:10.1177/07356331211057819
摘要
This study describes the development and validation process of a computational thinking (CT) test for adults. The team designed a set of items and explored a subset of those through two qualitative pilots. Then, in order to provide validity evidence based on the test content, a team of 11 subject-matter experts coded the initial pool of items using two different systems of categories based on CT components and contents. Next, the items were piloted on a sample of 289 participants, 137 experts in CT, and 152 novices. After a series of confirmatory factor analyses, a unidimensional model that represents algorithmic thinking was adopted. Further analyzing the psychometric quality of the 27 items, 20 of them with excellent reliability indices were selected for the test. Thus, this study provides a tool to evaluate adults’ CT: the Algorithmic Thinking Test for Adults (ATTA), which was developed according to psychometric standards. This article also reflects on the nature of CT as a construct.
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