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Title:
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ON THE PREDICTORS OF COMPUTATIONAL THINKING SELF-EFFICACY |
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Author(s):
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Josef Guggemos |
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ISBN:
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978-989-8704-52-8 |
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Editors:
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Demetrios G. Sampson, Dirk Ifenthaler and Pedro Isaías |
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Year:
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2023 |
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Edition:
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Single |
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Keywords:
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Computational Thinking Scales, Gender and Home Environment, Cognitive Dispositions, Motivation, Learning Opportunities |
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Type:
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Full |
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First Page:
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51 |
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Last Page:
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59 |
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Language:
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English |
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Cover:
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Full Contents:
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click to dowload 
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Paper Abstract:
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Computational thinking (CT) is an important 21st-century skill. This paper aims at investigating predictors of CT self-efficacy among high-school students. The hypothesized predictors are grouped into three areas: (1) student characteristics, (2) home environment, and (3) learning opportunities. CT self-efficacy is measured with the Computational Thinking Scales (CTS) that comprises five dimensions: creativity, algorithmic thinking, cooperativity, critical thinking, and problem solving. N = 202 high-school students act as the sample, linear regression as the analysis method. The best prediction is possible for algorithmic thinking (R2 = .511). For cooperativity, the explanatory power of our model it is weak (R2 = .146). Across all five CTS dimensions, CT self-concept is the best predictor for CT self-efficacy. |
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