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Interpretable Clustering of Students’ Solutions in Introductory Programming

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14330%2F21%3A00121982" target="_blank" >RIV/00216224:14330/21:00121982 - isvavai.cz</a>

  • Result on the web

    <a href="https://doi.org/10.1007/978-3-030-78292-4_9" target="_blank" >https://doi.org/10.1007/978-3-030-78292-4_9</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1007/978-3-030-78292-4_9" target="_blank" >10.1007/978-3-030-78292-4_9</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Interpretable Clustering of Students’ Solutions in Introductory Programming

  • Original language description

    In introductory programming and other problem-solving activities, students can create many variants of a solution. For teachers, content developers, or applications in student modeling, it is useful to find structure in the set of all submitted solutions. We propose a generic, modular algorithm for the construction of interpretable clustering of students’ solutions in problem-solving activities. We describe a specific realization of the algorithm for introductory Python programming and report results of the evaluation on a diverse set of problems.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

  • OECD FORD branch

    10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Result continuities

  • Project

  • Continuities

    S - Specificky vyzkum na vysokych skolach<br>I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Others

  • Publication year

    2021

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Article name in the collection

    Artificial Intelligence in Education. AIED 2021. Lecture Notes in Computer Science, vol 12748

  • ISBN

    9783030782917

  • ISSN

    0302-9743

  • e-ISSN

  • Number of pages

    12

  • Pages from-to

    101-112

  • Publisher name

    Springer

  • Place of publication

    Cham

  • Event location

    Utrecht, The Netherlands

  • Event date

    Jan 1, 2021

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article

    000885021300009