Abstract
This paper presents two different approaches to example-based problem solving support in the domain of programming based on concept analysis of the learning content. The goal of these approaches is to offer students a set of most relevant remedial examples when they have trouble solving a problem. The paper reviews earlier work and introduces a global and a local approach for selecting examples that are similar to the problem in terms of concept coverage and structure of the content, respectively. It also reports results of a lab study conducted to explore the effectiveness of each approach. © 2014 Springer International Publishing Switzerland.
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CITATION STYLE
Hosseini, R., & Brusilovsky, P. (2014). Example-based problem solving support using concept analysis of programming content. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 8474 LNCS, pp. 683–685). Springer Verlag. https://doi.org/10.1007/978-3-319-07221-0_106
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