A Classification Framework for Practice Exercises in Adaptive Learning Systems

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14330%2F20%3A00118359" target="_blank" >RIV/00216224:14330/20:00118359 - isvavai.cz</a>

Výsledek na webu

<a href="https://ieeexplore.ieee.org/document/9210602" target="_blank" >https://ieeexplore.ieee.org/document/9210602</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1109/TLT.2020.3027050" target="_blank" >10.1109/TLT.2020.3027050</a>

Jazyk výsledku

angličtina

Název v původním jazyce

A Classification Framework for Practice Exercises in Adaptive Learning Systems

Popis výsledku v původním jazyce

Learning systems can utilize many practice exercises, ranging from simple multiple-choice questions to complex problem-solving activities. In this article, we propose a classification framework for such exercises. The framework classifies exercises in three main aspects: 1) the primary type of interaction; 2) the presentation mode; and 3) the integration in the learning system. For each of these aspects, we provide a systematic mapping of available choices and pointers to relevant research. For developers of learning systems, the framework facilitates the design and implementation of exercises. For researchers, the framework provides support for the design, description, and discussion of experiments dealing with student modeling techniques and algorithms for adaptive learning. One of the aims of the framework is to facilitate replicability and portability of research results in adaptive learning.

Název v anglickém jazyce

A Classification Framework for Practice Exercises in Adaptive Learning Systems

Popis výsledku anglicky

Learning systems can utilize many practice exercises, ranging from simple multiple-choice questions to complex problem-solving activities. In this article, we propose a classification framework for such exercises. The framework classifies exercises in three main aspects: 1) the primary type of interaction; 2) the presentation mode; and 3) the integration in the learning system. For each of these aspects, we provide a systematic mapping of available choices and pointers to relevant research. For developers of learning systems, the framework facilitates the design and implementation of exercises. For researchers, the framework provides support for the design, description, and discussion of experiments dealing with student modeling techniques and algorithms for adaptive learning. One of the aims of the framework is to facilitate replicability and portability of research results in adaptive learning.

Druh

J_imp - Článek v periodiku v databázi Web of Science

CEP obor

—

OECD FORD obor

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

Projekt

—

Návaznosti

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Rok uplatnění

2020

Kód důvěrnosti údajů

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

Název periodika

IEEE Transactions on Learning Technologies

ISSN

1939-1382

e-ISSN

—

Svazek periodika

13

Číslo periodika v rámci svazku

4

Stát vydavatele periodika

US - Spojené státy americké

Počet stran výsledku

14

Strana od-do

734-747

Kód UT WoS článku

000600838500008

EID výsledku v databázi Scopus

2-s2.0-85092014876