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An approach for teaching algorithms and computer programming using Greenfoot and Python

Authors: Luiz Carlos Begosso; Luiz Ricardo Begosso; Emiliana Martins Goncalves; Jean Rafael Goncalves;

An approach for teaching algorithms and computer programming using Greenfoot and Python

Abstract

The difficulty in learning and teaching the algorithms and programming subjects is a major concern for managers and teachers of Computer Science (CS) undergraduate courses. These are foundational subjects for CS professionals, yet continue to present a high degree of difficulty in learning for students. This paper presents two experiences we conducted with Computer Science beginner students related to the teaching of computer programming. Results obtained were positive and encouraging in a way that continues to be used with new students in CS courses. We are convinced that other actions like this one are vital for interdisciplinary work, preventing student evasion resulting from the learning environment, casting them as process actors. Algorithms and computer programming are becoming evermore necessary tools for academic and professional development.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
13
Top 10%
Top 10%
Average
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