Abstract
ELM-PE is an intelligent programming environment aimed at helping beginners in learning a new programming language. The knowledgebased component of this system is based on interpreting, storing, and reusing solutions to programming tasks. For this system, an analogical component has been developed to retrieve structurally similar problem solutions from the case base by an explanation-based retrieval method (EBR). Cases consist of explanations from previous problem solutions, as analysed by a diagnostic component, and are distributed over the knowledge base with respect to the programming concepts captured in the explanation structures. In an empirical study, it has been shown that in many cases the system is able to offer better suited analogies than the students selected by themselves. These results show advantages of a case-based help system supporting complex problem solving and learning tasks.
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Weber, G. (1995). Examples and remindings in a case-based help system. In: Haton, JP., Keane, M., Manago, M. (eds) Advances in Case-Based Reasoning. EWCBR 1994. Lecture Notes in Computer Science, vol 984. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-60364-6_35
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DOI: https://doi.org/10.1007/3-540-60364-6_35
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