Publications

Predictors of performance in Programming: the moderating role of eXtreme Apprenticeship, sex and educational background  (2019)

Authors:
Solitro, U.; Pasini, M.; Brondino, M.; Raccanello, D.; Vicentini, G.; Burro, R.
Title:
Predictors of performance in Programming: the moderating role of eXtreme Apprenticeship, sex and educational background
Year:
2019
Type of item:
Contributo in volume (Capitolo o Saggio)
Tipologia ANVUR:
Contributo in volume (Capitolo o Saggio)
Language:
Inglese
Book Title:
Advances in Intelligent and Soft Computing
Page numbers:
181-189
Keyword:
computational thinking; algorithmic thinking; problem solving; computing education; eXtreme Apprenticeship; programming learning; moderation; academic performance
Short description of contents:
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.
Product ID:
103224
Handle IRIS:
11562/981040
Last Modified:
December 2, 2020
Bibliographic citation:
Solitro, U.; Pasini, M.; Brondino, M.; Raccanello, D.; Vicentini, G.; Burro, R., Predictors of performance in Programming: the moderating role of eXtreme Apprenticeship, sex and educational background Advances in Intelligent and Soft Computing2019pp. 181-189

Consulta la scheda completa presente nel repository istituzionale della Ricerca di Ateneo IRIS

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