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Measuring Item Similarity 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%2F18%3A00104017" target="_blank" >RIV/00216224:14330/18:00104017 - isvavai.cz</a>

  • Result on the web

    <a href="http://dx.doi.org/10.1145/3231644.3231676" target="_blank" >http://dx.doi.org/10.1145/3231644.3231676</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1145/3231644.3231676" target="_blank" >10.1145/3231644.3231676</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Measuring Item Similarity in Introductory Programming

  • Original language description

    A personalized learning system needs a large pool of items for learners to solve. When working with a large pool of items, it is useful to measure the similarity of items. We outline a general approach to measuring the similarity of items and discuss specific measures for items used in introductory programming. Evaluation of quality of similarity measures is difficult. To this end, we propose an evaluation approach utilizing three levels of abstraction. We illustrate our approach to measuring similarity and provide evaluation using items from three diverse programming environments.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

  • OECD FORD branch

    10200 - Computer and information sciences

Result continuities

  • Project

  • Continuities

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

Others

  • Publication year

    2018

  • Confidentiality

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

Data specific for result type

  • Article name in the collection

    Proceedings of the Fifth Annual ACM Conference on Learning at Scale

  • ISBN

    9781450358866

  • ISSN

  • e-ISSN

  • Number of pages

    4

  • Pages from-to

    „19:1-19:4“

  • Publisher name

    ACM

  • Place of publication

    New York, NY, USA

  • Event location

    New York, NY, USA

  • Event date

    Jan 1, 2018

  • Type of event by nationality

    CST - Celostátní akce

  • UT code for WoS article

    000546308900019