Evaluation of an Adaptive Practice System for Learning Geography Facts

Kód výsledku v 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>

Výsledek na webu

<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>

Jazyk výsledku

angličtina

Název v původním jazyce

Evaluation of an Adaptive Practice System for Learning Geography Facts

Popis výsledku v původním jazyce

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.

Název v anglickém jazyce

Evaluation of an Adaptive Practice System for Learning Geography Facts

Popis výsledku anglicky

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.

Druh

D - Stať ve sborníku

CEP obor

IN - Informatika

OECD FORD obor

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Projekt

—

Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2016

Kód důvěrnosti údajů

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

Název statě ve sborníku

Proceedings of the Sixth International Conference on Learning Analytics & Knowledge

ISBN

9781450341905

ISSN

—

e-ISSN

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Počet stran výsledku

9

Strana od-do

134-142

Název nakladatele

ACM

Místo vydání

Edinburgh, United Kingdom

Místo konání akce

Edinburgh, United Kingdom

Datum konání akce

1. 1. 2016

Typ akce podle státní příslušnosti

CST - Celostátní akce

Kód UT WoS článku

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