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Evaluation of an Adaptive Practice System for Learning Geography Facts

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14330%2F16%3A00090423" target="_blank" >RIV/00216224:14330/16:00090423 - isvavai.cz</a>

  • Result on the web

    <a href="http://dx.doi.org/10.1145/2883851.2883884" target="_blank" >http://dx.doi.org/10.1145/2883851.2883884</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1145/2883851.2883884" target="_blank" >10.1145/2883851.2883884</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Evaluation of an Adaptive Practice System for Learning Geography Facts

  • Original language description

    Computerized educational systems are increasingly provided as open online services which provide adaptive personalized learning experience. To fully exploit potential of such systems, it is necessary to thoroughly evaluate different design choices. However, both openness and adaptivity make proper evaluation difficult. We provide a detailed report on evaluation of an online system for adaptive practice of geography, and use this case study to highlight methodological issues with evaluation of open online learning systems, particularly attrition bias. To facilitate evaluation of learning, we propose to use randomized reference questions. We illustrate application of survival analysis and learning curves for declarative knowledge. The result provide an interesting insight into the impact of adaptivity on learner behaviour and learning.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

    IN - Informatics

  • OECD FORD branch

Result continuities

  • Project

  • Continuities

    S - Specificky vyzkum na vysokych skolach

Others

  • Publication year

    2016

  • 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 Sixth International Conference on Learning Analytics & Knowledge

  • ISBN

    9781450341905

  • ISSN

  • e-ISSN

  • Number of pages

    9

  • Pages from-to

    134-142

  • Publisher name

    ACM

  • Place of publication

    Edinburgh, United Kingdom

  • Event location

    Edinburgh, United Kingdom

  • Event date

    Jan 1, 2016

  • Type of event by nationality

    CST - Celostátní akce

  • UT code for WoS article