Digital literacy and computer skills are considered a funda-mental part of citizen education in Europe. University courses in general assume that the first year students adequate computational background and abilities. But unfortunately this is not always the case: freshmen experience troubles in analysing and solving problems with computation tools, in particular with through programming activities. Therefore, it is imperative task finding strategies that can mitigate initial difficulties and balance background deficiency. In this work, we consider the effect of the eXtreme Apprenticeship teaching methodology and analyse the role of sex and background.

Predictors of performance in Programming: the moderating role of eXtreme Apprenticeship, sex and educational background

Solitro U.;Pasini M.;Brondino M.;Raccanello D.;VICENTINI, GIADA;Burro R.
2019

Abstract

Digital literacy and computer skills are considered a funda-mental part of citizen education in Europe. University courses in general assume that the first year students adequate computational background and abilities. But unfortunately this is not always the case: freshmen experience troubles in analysing and solving problems with computation tools, in particular with through programming activities. Therefore, it is imperative task finding strategies that can mitigate initial difficulties and balance background deficiency. In this work, we consider the effect of the eXtreme Apprenticeship teaching methodology and analyse the role of sex and background.
computational thinking
algorithmic thinking
problem solving
computing education
eXtreme Apprenticeship
programming learning
moderation
academic performance
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11562/981040
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