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ERIC Number: EJ1061160
Record Type: Journal
Publication Date: 2015
Pages: 36
Abstractor: As Provided
Reference Count: 64
ISBN: N/A
ISSN: ISSN-0899 3408
Empirical Validation and Application of the Computing Attitudes Survey
Dorn, Brian; Elliott Tew, Allison
Computer Science Education, v25 n1 p1-36 2015
Student attitudes play an important role in shaping learning experiences. However, few validated instruments exist for measuring student attitude development in a discipline-specific way. In this paper, we present the design, development, and validation of the computing attitudes survey (CAS). The CAS is an extension of the Colorado Learning Attitudes about Science Survey and measures novice to expert attitude shifts about the nature of knowledge and problem solving in computer science. Factor analysis with a large, multi-institutional data-set identified and confirmed five subscales on the CAS related to different facets of attitudes measured on the survey. We then used the CAS in a pre--post format to demonstrate its usefulness in studying attitude shifts during CS1 courses and its responsiveness to varying instructional conditions. The most recent version of the CAS is provided in its entirety along with a discussion of the conditions under which its validity has been demonstrated.
Routledge. Available from: Taylor & Francis, Ltd. 325 Chestnut Street Suite 800, Philadelphia, PA 19106. Tel: 800-354-1420; Fax: 215-625-2940; Web site: http://www.tandf.co.uk/journals
Publication Type: Journal Articles; Reports - Research
Education Level: N/A
Audience: N/A
Language: English
Sponsor: N/A
Authoring Institution: N/A
Identifiers - Location: Canada; Connecticut
Identifiers - Assessments and Surveys: Motivated Strategies for Learning Questionnaire