Elo-based Learner Modeling for the Adaptive Practice of Facts

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14330%2F17%3A00095908" target="_blank" >RIV/00216224:14330/17:00095908 - isvavai.cz</a>

Výsledek na webu

<a href="http://dx.doi.org/10.1007/s11257-016-9185-7" target="_blank" >http://dx.doi.org/10.1007/s11257-016-9185-7</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1007/s11257-016-9185-7" target="_blank" >10.1007/s11257-016-9185-7</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Elo-based Learner Modeling for the Adaptive Practice of Facts

Popis výsledku v původním jazyce

We investigate applications of learner modeling in a computerized adaptive system for practicing factual knowledge. We focus on areas where learners have widely varying prior knowledge. We propose a modular approach to the development of such adaptive practice systems: decomposing the system design into estimation of prior knowledge, estimation of current knowledge, and construction of questions. We provide a detailed discussion of learner models for both estimation steps, including a novel use of the Elo rating system for learner modeling. We implemented the proposed approach in a system for practice of geography facts; the system is widely used and allows us to perform evaluation of all three modules. We compare predictive accuracy of different learner models, discuss insights gained from learner modeling, and also impact of different variants of the system on learners engagement and learning.

Název v anglickém jazyce

Elo-based Learner Modeling for the Adaptive Practice of Facts

Popis výsledku anglicky

We investigate applications of learner modeling in a computerized adaptive system for practicing factual knowledge. We focus on areas where learners have widely varying prior knowledge. We propose a modular approach to the development of such adaptive practice systems: decomposing the system design into estimation of prior knowledge, estimation of current knowledge, and construction of questions. We provide a detailed discussion of learner models for both estimation steps, including a novel use of the Elo rating system for learner modeling. We implemented the proposed approach in a system for practice of geography facts; the system is widely used and allows us to perform evaluation of all three modules. We compare predictive accuracy of different learner models, discuss insights gained from learner modeling, and also impact of different variants of the system on learners engagement and learning.

Druh

J_imp - Článek v periodiku v databázi Web of Science

CEP obor

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OECD FORD obor

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

Projekt

—

Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2017

Kód důvěrnosti údajů

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

Název periodika

User Modeling and User-Adapted Interaction

ISSN

0924-1868

e-ISSN

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Svazek periodika

26

Číslo periodika v rámci svazku

1

Stát vydavatele periodika

NL - Nizozemsko

Počet stran výsledku

30

Strana od-do

89-118

Kód UT WoS článku

000395032400004

EID výsledku v databázi Scopus

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