建立衡量高等教育中数字素养实践和观念的工具的可靠性和有效性

IF 2.1 Q1 EDUCATION & EDUCATIONAL RESEARCH

Informatics in Education Pub Date : 2021-03-21 DOI:10.32517/0234-0453-2021-36-1-33-37

B. Braktia, L. Haas, A. M. Montenegro Sanchez, A. Koptelov

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引用次数: 0

摘要

本研究的目的是开发一种可靠有效的工具，以探索大学教授和教师在教育领域的数字素养实践方面的看法和实践。探索性因子分析(EFA)揭示了四个特征值大于1的因子。20个项目的工具解释了项目之间关系模式差异的65.08%:36.49% - F1:“数字素养帮助我教学”，11.02% - F2:“我有数字素养能力和资源”，8.99% - F3:“数字素养支持学生学习”，8.58% - F4:“学生能够胜任数字素养”。该工具被认为是可靠的，以确定教师的看法和做法。

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Establishing reliability and validity of an instrument to measure digital literacy practices and perceptions in higher education

The purpose of this study was to develop a reliable and valid instrument to explore the perceptions and practices of university professors and instructors with regards to digital literacy practices in the field of education. The Exploratory Factor Analysis (EFA) revealed four factors with eigenvalues greater than one. The 20-item instrument explained 65.08 % of the variance in relationship patterns among items: 36.49 % — F1: “Digital literacies help me teach”, 11.02 % — F2: “I have digital literacy competency and resources”, 8.99 % — F3: “Digital literacies support student learning”, and 8.58 % — F4: “Students are competent with digital literacy”. The instrument was deemed as reliable in determining faculty perceptions and practices.

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来源期刊

Informatics in Education EDUCATION & EDUCATIONAL RESEARCH-

CiteScore

6.10

自引率

3.70%

发文量

审稿时长

20 weeks

期刊介绍： INFORMATICS IN EDUCATION publishes original articles about theoretical, experimental and methodological studies in the fields of informatics (computer science) education and educational applications of information technology, ranging from primary to tertiary education. Multidisciplinary research studies that enhance our understanding of how theoretical and technological innovations translate into educational practice are most welcome. We are particularly interested in work at boundaries, both the boundaries of informatics and of education. The topics covered by INFORMATICS IN EDUCATION will range across diverse aspects of informatics (computer science) education research including: empirical studies, including composing different approaches to teach various subjects, studying availability of various concepts at a given age, measuring knowledge transfer and skills developed, addressing gender issues, etc. statistical research on big data related to informatics (computer science) activities including e.g. research on assessment, online teaching, competitions, etc. educational engineering focusing mainly on developing high quality original teaching sequences of different informatics (computer science) topics that offer new, successful ways for knowledge transfer and development of computational thinking machine learning of student''s behavior including the use of information technology to observe students in the learning process and discovering clusters of their working design and evaluation of educational tools that apply information technology in novel ways.