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Tasks with Various Types of Answers in Systems Based on Mixed Diagnostic Tests

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Information Technologies and Mathematical Modelling (ITMM 2014)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 487))

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Abstract

Using of tasks with different types of answers in intelligent teaching-testing systems based on mixed diagnostic tests is discussed. Tasks with formula-type answers are discussed in detail. A simple, intuitive language for writing formulae is described. A technology to verify answer formula compliance with a formula prepared in advance by the test developer is proposed. Description of a checking algorithm using LL(1)-parser, Reverse Polish Notation string generator and an interpreter to calculate the answer formula value for a prearranged set of input data is provided.

Supported by Russian Foundation for Basic Research, projects no. 13-07-98037-r_sibir_a.

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Author information

Authors and Affiliations

  1. National Research Tomsk State University, Tomsk, Russia

    Yuri Kostyuk & Vladimir Razin

Authors
  1. Yuri Kostyuk
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  2. Vladimir Razin
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Editor information

Editors and Affiliations

  1. Department of Applied Mathematics and Computer Science, Belarusian State University, 220030, Minsk, Belarus

    Alexander Dudin

  2. Tomsk State University, Tomsk, Russia

    Anatoly Nazarov

  3. Kemerovo State University, Anzhero-Sudzhensk, Russia

    Rafael Yakupov

  4. National Research Tomsk State University, 634050, Tomsk, Russia

    Alexander Gortsev

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© 2014 Springer International Publishing Switzerland

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Kostyuk, Y., Razin, V. (2014). Tasks with Various Types of Answers in Systems Based on Mixed Diagnostic Tests. In: Dudin, A., Nazarov, A., Yakupov, R., Gortsev, A. (eds) Information Technologies and Mathematical Modelling. ITMM 2014. Communications in Computer and Information Science, vol 487. Springer, Cham. https://doi.org/10.1007/978-3-319-13671-4_28

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  • DOI: https://doi.org/10.1007/978-3-319-13671-4_28

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-13670-7

  • Online ISBN: 978-3-319-13671-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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