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In this study, using the 2013 Technology and Engineering Literacy (TEL) pilot assessment data, the relationships between the TEL contextual factors and student performance on TEL assessment were examined using multiple regression. Regression results show that self-efficacy was the only significant predictor of student performance after controlling for major student demographic characteristics. Although other factors did not show significant direct relationships with TEL performance, the path analysis results show that most TEL factors have significant relationships with the self-efficacy factor, suggesting that self-efficacy may mediate the relationship between the TEL factors and the TEL performance. Upon availability, the analysis will be replicated with the 2014 TEL assessment data, which do not have many of the limitations the pilot data have.
Bitnara Jasmine Park, American Institutes for Research
Markus Broer, American Institutes for Research
George W. Bohrnstedt, American Institutes for Research