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Learning Thresholds in Formal Concept Analysis

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Formal Concept Analysis (ICFCA 2017)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 10308))

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Abstract

This paper views Formal Concept Analysis (FCA) from an educational perspective. Novice users of FCA who are not mathematicians might find diagrams of concept lattices counter-intuitive and challenging to read. According to educational theory, learning thresholds are concepts that are difficult to learn and easy to be misunderstood. Experts of a domain are often not aware of such learning thresholds. This paper explores learning thresholds occurring in FCA teaching material drawing on examples from a discrete structures class taught to first year computer science students.

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Notes

  1. 1.

    Because FCA is the topic of this conference, this paper does not provide an introduction to FCA. Further information about FCA can be found, for example, on-line (http://www.upriss.org.uk/fca/) and in the main FCA textbook by Ganter and Wille (1999).

  2. 2.

    In just-in-time teaching, students read textbook pages and submit exercises, comments and questions before each class session. The lecturer then prepares each class session so that it addresses exactly the questions and problems the students are having. This method provides a wealth of continuous feedback both for learners and for teachers about the learning process.

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Author information

Authors and Affiliations

  1. Zentrum für erfolgreiches Lehren und Lernen, Ostfalia University of Applied Sciences, Wolfenbüttel, Germany

    Uta Priss

Authors
  1. Uta Priss
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Editor information

Editors and Affiliations

  1. Université de La Rochelle, La Rochelle, France

    Karell Bertet

  2. Institute of Theoretical Computer Science, Technische Universität Dresden, Dresden, Germany

    Daniel Borchmann

  3. Université de Rennes, Rennes, France

    Peggy Cellier

  4. Université de Rennes, Rennes, France

    Sébastien Ferré

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Priss, U. (2017). Learning Thresholds in Formal Concept Analysis. In: Bertet, K., Borchmann, D., Cellier, P., Ferré, S. (eds) Formal Concept Analysis. ICFCA 2017. Lecture Notes in Computer Science(), vol 10308. Springer, Cham. https://doi.org/10.1007/978-3-319-59271-8_13

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  • DOI: https://doi.org/10.1007/978-3-319-59271-8_13

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-59270-1

  • Online ISBN: 978-3-319-59271-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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