Exploring the Utility of Response Times and Wrong Answers for Adaptive Learning

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14330%2F18%3A00104016" target="_blank" >RIV/00216224:14330/18:00104016 - isvavai.cz</a>

Výsledek na webu

<a href="http://dx.doi.org/10.1145/3231644.3231675" target="_blank" >http://dx.doi.org/10.1145/3231644.3231675</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1145/3231644.3231675" target="_blank" >10.1145/3231644.3231675</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Exploring the Utility of Response Times and Wrong Answers for Adaptive Learning

Popis výsledku v původním jazyce

Personalized educational systems adapt their behavior based on student performance. Most student modeling techniques, which are used for guiding the adaptation, utilize only the correctness of student’s answers. However, other data about performance are typically available. In this work we focus on response times and wrong answers as these aspects of performance are available in most systems. We analyze data from several types of exercises and domains (mathematics, spelling, grammar). The results suggest that wrong answers are more informative than response times. Based on our results we propose a classification of student performance into several categories.

Název v anglickém jazyce

Exploring the Utility of Response Times and Wrong Answers for Adaptive Learning

Popis výsledku anglicky

Personalized educational systems adapt their behavior based on student performance. Most student modeling techniques, which are used for guiding the adaptation, utilize only the correctness of student’s answers. However, other data about performance are typically available. In this work we focus on response times and wrong answers as these aspects of performance are available in most systems. We analyze data from several types of exercises and domains (mathematics, spelling, grammar). The results suggest that wrong answers are more informative than response times. Based on our results we propose a classification of student performance into several categories.

Druh

D - Stať ve sborníku

CEP obor

—

OECD FORD obor

10200 - Computer and information sciences

Projekt

—

Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2018

Kód důvěrnosti údajů

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

Název statě ve sborníku

Learning @ Scale

ISBN

9781450358866

ISSN

—

e-ISSN

—

Počet stran výsledku

4

Strana od-do

„18:1-18:4“

Název nakladatele

ACM

Místo vydání

New York, NY, USA

Místo konání akce

New York, NY, USA

Datum konání akce

1. 1. 2018

Typ akce podle státní příslušnosti

CST - Celostátní akce

Kód UT WoS článku

000546308900018