当前位置:
X-MOL 学术
›
Informatics in Education
›
论文详情
Our official English website, www.x-mol.net, welcomes your feedback! (Note: you will need to create a separate account there.)
Computational Thinking Self-Efficacy Scale: Development, Validity and Reliability
Informatics in Education Pub Date : 2019-04-13 , DOI: 10.15388/infedu.2019.07 Volkan KUKUL , Serçin KARATAS
Informatics in Education Pub Date : 2019-04-13 , DOI: 10.15388/infedu.2019.07 Volkan KUKUL , Serçin KARATAS
The aim of this study is to develop a self-efficacy measuring tool that can predict the computational thinking skill that is seen as one of the 21st century’s skills. According to literature review, an item pool was established and expert opinion was consulted for the created item pool. The study group of this study consists of 319 students educated at the level of secondary school. As a result of the exploratory factor analysis, the scale consisted of 18 items under four factors. The factors are Reasoning, Abstraction, Decomposition and Generalization. As a result of applied reliability analysis, the Cronbach Alpha reliability coefficient can be seen to be calculated as .884 for the whole self-efficacy scale consisting of 18 items. Confirmative factor analysis results and fit indexes were checked, and fit indexes of the scale were seen to have good and acceptable fits. Based on these findings, the Computational Thinking Self-efficacy Scale is a valid and reliable tool that may be used in measuring to predict Computational Thinking.
中文翻译:
计算思维自我效能量表:发展,有效性和可靠性
这项研究的目的是开发一种自我效能测量工具,该工具可以预测被认为是21世纪技能之一的计算思维技能。根据文献回顾,建立了一个项目库,并就创建的项目库征询了专家的意见。该研究的研究组由319名中学水平的学生组成。作为探索性因素分析的结果,该量表包括四个因素下的18个项目。这些因素是推理,抽象,分解和泛化。应用可靠性分析的结果,对于由18个项目组成的整个自我效能感量表,Cronbach Alpha可靠性系数可以看作是.884。检查了验证性因素分析结果和拟合指数,量表的拟合度和拟合度被认为具有良好且可接受的拟合度。基于这些发现,计算思维自我效能感量表是有效且可靠的工具,可用于测量以预测计算思维。
更新日期:2019-04-13
中文翻译:
计算思维自我效能量表:发展,有效性和可靠性
这项研究的目的是开发一种自我效能测量工具,该工具可以预测被认为是21世纪技能之一的计算思维技能。根据文献回顾,建立了一个项目库,并就创建的项目库征询了专家的意见。该研究的研究组由319名中学水平的学生组成。作为探索性因素分析的结果,该量表包括四个因素下的18个项目。这些因素是推理,抽象,分解和泛化。应用可靠性分析的结果,对于由18个项目组成的整个自我效能感量表,Cronbach Alpha可靠性系数可以看作是.884。检查了验证性因素分析结果和拟合指数,量表的拟合度和拟合度被认为具有良好且可接受的拟合度。基于这些发现,计算思维自我效能感量表是有效且可靠的工具,可用于测量以预测计算思维。