Detecting Code Evolution in Programming Learning

Authors:
Thais Castro;Hugo Fuks;Alberto Castro
Affiliations:
Department of Informatics (PUC-Rio), Rio de Janeiro, BR 22453-900 and Computer Science Department (UFAM), Manaus, BR 69077-300;Department of Informatics (PUC-Rio), Rio de Janeiro, BR 22453-900;Computer Science Department (UFAM), Manaus, BR 69077-300
Venue:
SBIA '08 Proceedings of the 19th Brazilian Symposium on Artificial Intelligence: Advances in Artificial Intelligence
Year:
2008

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Abstract

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.