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Explaining Abstract Data Types with Sentential and Diagrammatic Elements

  • Conference paper
MICAI 2000: Advances in Artificial Intelligence (MICAI 2000)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 1793))

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Abstract

Although much work has been done on Intelligent Tutoring Systems that support the learning of programming skills, little attention has been paid to supporting the understanding of programs. We discuss the issues involved in developing a tool for a learning environment in which novice programmers can explore in detail an important class of programs implementing Abstract Data Types (ADTs). We start by developing a conceptual framework for explaining ADTs. Next, we describe an interactive learning situation and discuss the design principles that it embodies. After presenting an example of student/system interaction, we describe in detail the explanation process underlying it. We end with a discussion of the main issues.

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Author information

Authors and Affiliations

  1. Dept. of Mathematics and Computer Science, California State University at San Jose, San Jose, CA, 95192, USA

    Agustin A. Araya & Jessica H. Chu

Authors
  1. Agustin A. Araya
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  2. Jessica H. Chu
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Editor information

Editors and Affiliations

  1. Department of Computer Science Instituto Tecnológico Autónomo de México (ITAM), Río Hondo 1, 01080, México DF, México

    Osvaldo Cairó

  2. Monterrey Institute of Technology (ITESM), Campus Morelos, Av. Reforma 182-A, Lomas de Cuernvaca, Temixco, 62589, Morelos, Mexico

    L. Enrique Sucar

  3. ITESM Campus Monterrey, Research and Graduate Studies Office, Monterrey, N.L., México

    Francisco J. Cantu

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© 2000 Springer-Verlag Berlin Heidelberg

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Araya, A.A., Chu, J.H. (2000). Explaining Abstract Data Types with Sentential and Diagrammatic Elements. In: Cairó, O., Sucar, L.E., Cantu, F.J. (eds) MICAI 2000: Advances in Artificial Intelligence. MICAI 2000. Lecture Notes in Computer Science(), vol 1793. Springer, Berlin, Heidelberg. https://doi.org/10.1007/10720076_46

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  • DOI: https://doi.org/10.1007/10720076_46

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-67354-5

  • Online ISBN: 978-3-540-45562-2

  • eBook Packages: Springer Book Archive

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