Predictors of Performance in Programming: The Moderating Role of eXtreme Apprenticeship, Sex and Educational Background-Reference-Cited by-同舟云学术

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Predictors of Performance in Programming: The Moderating Role of eXtreme Apprenticeship, Sex and Educational Background

Published:2018-09-23 Issue: Volume: Page:181-189
ISSN:2194-5357
Container-title:Methodologies and Intelligent Systems for Technology Enhanced Learning, 8th International Conference
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Author:

Solitro Ugo,Brondino Margherita,Vicentini Giada,Raccanello Daniela,Burro Roberto,Pasini Margherita

Publisher

Springer International Publishing

Link

http://link.springer.com/content/pdf/10.1007/978-3-319-98872-6_22

Reference18 articles.

1. Del Fatto, V., Dodero, G., Gennari, R.: How measuring student performances allows for measuring blended extreme apprenticeship for learning Bash programming (2015)

2. Del Fatto, V., Dodero, G., Lena, R.: Experiencing a new method in teaching Databases using Blended eXtreme Apprenticeship. Technical report, DMS (2015)

3. Denning, P.J.: The profession of IT Beyond computational thinking. Commun. ACM 52(6), 28–30 (2009)

4. Dodero, G., Di Cerbo, F.: Extreme apprenticeship goes blended: an experience. In: Proceedings of the 12th IEEE International Conference on Advanced Learning Technologies, ICALT 2012, pp. 324–326 (2012)

5. Knuth, D.E.: Algorithmic thinking and mathematical thinking. Am. Math. Mon. 92(3), 170–181 (1985). http://www.jstor.org/stable/2322871

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1. A Random Forest Algorithm for Predicting Computer Programming Skill Associated with Learning Styles;2023 Sixth International Conference on Vocational Education and Electrical Engineering (ICVEE);2023-10-14

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