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Example-Based Problem Solving Support Using Concept Analysis of Programming Content

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Intelligent Tutoring Systems (ITS 2014)

Part of the book series: Lecture Notes in Computer Science ((LNPSE,volume 8474))

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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.

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References

  1. Brusilovsky, P., Peylo, C.: Adaptive and intelligent Web-based educational systems. International Journal of Artificial Intelligence in Education 13(2-4), 159–172 (2003)

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  2. Weber, G.: Individual selection of examples in an intelligent learning environment. Journal of Artificial Intelligence in Education 7(1), 3–31 (1996)

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  3. Hosseini, R., Brusilovsky, P.: JavaParser: A Fine-Grain Concept Indexing Tool for Java Problems. In: The First Workshop on AI-supported Education for Computer Science (AIEDCS 2013), pp. 60–63 (2013)

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  4. Zhang, K., Shasha, D.: Simple fast algorithms for the editing distance between trees and related problems. SIAM Journal on Computing 18(6), 1245–1262 (1989)

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© 2014 Springer International Publishing Switzerland

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Hosseini, R., Brusilovsky, P. (2014). Example-Based Problem Solving Support Using Concept Analysis of Programming Content. In: Trausan-Matu, S., Boyer, K.E., Crosby, M., Panourgia, K. (eds) Intelligent Tutoring Systems. ITS 2014. Lecture Notes in Computer Science, vol 8474. Springer, Cham. https://doi.org/10.1007/978-3-319-07221-0_106

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  • DOI: https://doi.org/10.1007/978-3-319-07221-0_106

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-07220-3

  • Online ISBN: 978-3-319-07221-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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