This article describes a research in code evolution for programming learning that has as its main components the identification of the specific demands for detecting code evolution in the context of programming learning, and the identification of an initial set of programming learning supporting strategies. The findings within the knowledge represented in the codes allowed us to carry out a deeper analysis concerning the inferences internal to the code strategy, which is especially useful for exploring the supporting strategies and the techniques students normally use for their knowledge acquisition in programming. © 2008 Springer Berlin Heidelberg.
CITATION STYLE
Castro, T., Fuks, H., & Castro, A. (2008). Detecting code evolution in programming learning. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 5249 LNAI, pp. 145–156). Springer Verlag. https://doi.org/10.1007/978-3-540-88190-2_20
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