ERIC Number: EJ833966
Record Type: Journal
Publication Date: 2005-Sep
Pages: 21
Abstractor: As Provided
ISBN: N/A
ISSN: ISSN-0899-3408
EISSN: N/A
Available Date: N/A
Identifying Predictors of Success for an Objects-First CS1
Ventura, Philip R., Jr.
Computer Science Education, v15 n3 p223-243 Sep 2005
The paper reports on an examination of predictors of success for an "objects-first" course. The predictors considered included prior programming experience, mathematical ability, academic and psychological variables, gender, and measures of student effort. Cognitive and academic factors such as SAT scores and critical thinking ability offered little predictive value when compared to the other predictors of success. Student effort and comfort level were found to be the strongest predictors of success. (Contains 2 notes and 13 tables.)
Descriptors: Academic Achievement, Predictor Variables, Computer Science Education, Programming, Success, Performance Factors, Learner Engagement, Computer Graphics, Predictive Validity, Predictive Measurement
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Publication Type: Journal Articles; Reports - Research
Education Level: Higher Education
Audience: N/A
Language: English
Sponsor: N/A
Authoring Institution: N/A
Identifiers - Assessments and Surveys: SAT (College Admission Test)
Grant or Contract Numbers: N/A
Author Affiliations: N/A