Developing the Computer Programming Self-Efficacy Scale for Computer Literacy Education

Autor/inn/en	Tsai, Meng-Jung; Wang, Ching-Yeh; Hsu, Po-Fen
Titel	Developing the Computer Programming Self-Efficacy Scale for Computer Literacy Education
Quelle	In: Journal of Educational Computing Research, 56 (2019) 8, S.1345-1360 (16 Seiten)Infoseite zur Zeitschrift PDF als Volltext Verfügbarkeit
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	0735-6331
DOI	10.1177/0735633117746747
Schlagwörter	Programming; Computer Literacy; Middle School Students; Student Attitudes; Self Efficacy; Measures (Individuals); Logical Thinking; Thinking Skills; Factor Analysis; Reliability; Gender Differences; Robotics; Computer Science Education; Technological Literacy; Metacognition; Cooperation; Programming Languages + Suchen Sie Ihr Suchwort? Programmierung; Computerkenntnisse; Middle school; Middle schools; Student; Students; Mittelschule; Mittelstufenschule; Schüler; Schülerin; Schülerverhalten; Self-efficacy; Selbstwirksamkeit; Messdaten; Denkfähigkeit; Faktorenanalyse; Reliabilität; Geschlechterkonflikt; Robotertechnik; Computer science lessons; Informatikunterricht; Technisches Wissen; Meta cognitive ability; Meta-cognition; Metakognitive Fähigkeit; Metakognition; Co-operation; Kooperation
Abstract	Computer programming has been gradually emphasized in recent computer literacy education and regarded as a requirement for all middle school students in some countries. To understand young students' perceptions about their own learning in computer programming, this study aimed to develop an instrument, Computer Programming Self-Efficacy Scale (CPSES), for all students above middle school levels. Based on Berland and Lee's computational thinking framework, this study developed the CPSES items at a literacy level and finally the instrument included the five subscales: "Logical Thinking," "Algorithm," "Debug," "Control," and "Cooperation." An exploratory factor analysis and reliability tests were conducted in this study. The reliability alpha was 0.96 for the overall scale, and ranged from 0.84 to 0.96 for the subscales. This study also confirmed the positive correlation between computer programming experience and computer programming self-efficacy. In addition, for low- and middle-experienced learners, significant gender differences were found in two subscales: Algorithm and Debug. The CPSES can be applied as an evaluation tool in computer education, robotics education, as well as integrated STEM or STEAM education in which computer programming was regarded as a part of computer literacy. (As Provided).
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Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2020/1/01