Knowledge mining from adaptive course

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61988987%3A17310%2F07%3AA0800KU9" target="_blank" >RIV/61988987:17310/07:A0800KU9 - isvavai.cz</a>

Alternative codes found

RIV/61988987:17310/07:A1000KU9

Result on the web

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DOI - Digital Object Identifier

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Result language

čeština

Original language name

Knowledge mining from adaptive course

Original language description

Mining knowledge from logs of adaptive system is one of methods, how to obtain information, which can be used to verify used adaptation scheme and to determinate possible modifications of learning materials. This paper is focusing on statistic methods, which can show differences between several groups of users and determine knowledge cohesion of users in progress and at the end of the course. To determine difficult or simple questions in tests level of relevancy can be used. For log processing can be used methods of data analysis, such as clustering or decision trees. These methods are useful for detection of navigation in course and for determination, which parts of offered learning material is necessary to know for particular final mark.

Czech name

Knowledge mining from adaptive course

Czech description

Mining knowledge from logs of adaptive system is one of methods, how to obtain information, which can be used to verify used adaptation scheme and to determinate possible modifications of learning materials. This paper is focusing on statistic methods, which can show differences between several groups of users and determine knowledge cohesion of users in progress and at the end of the course. To determine difficult or simple questions in tests level of relevancy can be used. For log processing can be used methods of data analysis, such as clustering or decision trees. These methods are useful for detection of navigation in course and for determination, which parts of offered learning material is necessary to know for particular final mark.

Type

D - Article in proceedings

CEP classification

JC - Computer hardware and software

OECD FORD branch

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Project

<a href="/en/project/1M0572" target="_blank" >1M0572: Data, algorithms, decision making</a><br>

Continuities

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>V - Vyzkumna aktivita podporovana z jinych verejnych zdroju

Publication year

2007

Confidentiality

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

Article name in the collection

Conference Proceedings from 5th International Conference on Emerging e-Learning Technologies and Applications - ICETA 2007

ISBN

978-80-8086-061-5

ISSN

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e-ISSN

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Number of pages

6

Pages from-to

355-360

Publisher name

elfa, s.r.o., Kosice

Place of publication

Košice, Slovensko

Event location

Stara Lesna, High Tatras, Slovakia

Event date

Sep 6, 2007

Type of event by nationality

EUR - Evropská akce

UT code for WoS article

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