OU Portal
Log In
Welcome
Applicants
Z6_60GI02O0O8IDC0QEJUJ26TJDI4
Error:
Javascript is disabled in this browser. This page requires Javascript. Modify your browser's settings to allow Javascript to execute. See your browser's documentation for specific instructions.
{}
Zavřít
Publikační činnost
Probíhá načítání, čekejte prosím...
publicationId :
tempRecordId :
actionDispatchIndex :
navigationBranch :
pageMode :
tabSelected :
isRivValid :
Typ záznamu:
stať ve sborníku (D)
Domácí pracoviště:
Katedra informačních a komunikačních technologií (45080)
Název:
ADAPTIVE E-LEARNING AND ADAPTIVE ALGORITHMS FROM THE PERSPECTIVE OF M-LEARNING
Citace
Klubal, L. a Gybas, V. ADAPTIVE E-LEARNING AND ADAPTIVE ALGORITHMS FROM THE PERSPECTIVE OF M-LEARNING.
In:
EDULEARN22: EDULEARN22 Proceedings 2022-07-04 Palma.
Palma: IATED, 2022. s. 5068-5072. ISBN 978-84-09-42484-9.
Podnázev
Rok vydání:
2022
Obor:
Informatika
Počet stran:
5
Strana od:
5068
Strana do:
5072
Forma vydání:
Elektronická verze
Kód ISBN:
978-84-09-42484-9
Kód ISSN:
2340-1117
Název sborníku:
EDULEARN22 Proceedings
Sborník:
Mezinárodní
Název nakladatele:
IATED
Místo vydání:
Palma
Stát vydání:
Sborník vydaný v zahraničí
Název konference:
EDULEARN22
Místo konání konference:
Palma
Datum zahájení konference:
Typ akce podle státní
příslušnosti účastníků akce:
Celosvětová akce
Kód UT WoS:
EID:
Klíčová slova anglicky:
adaptive e-learning, m-learning, adaptivity, education
Popis v původním jazyce:
Adaptive e-learning is one of the proven directions of ICT use in education. The wide availability of ICT tools makes the use of adaptive learning more accessible than before. Adaptivity can be ensured both in terms of adapting to the learning style of the learner, specifically in presenting learning materials that are more suitable for their personal profile. However, this type of adaptivity places greater demands on the teacher's preparation of the whole curriculum. In some cases, however, it is already possible to make use of the functions of mobile devices and, for example, to read classical text materials automatically. Another direction where the insights of adaptive e-learning are applied is the fixation of learning through practice. This is particularly useful in areas where the learner needs to fix fixed diagrams or obtain factual data. In these cases, the choice of a mobile device is particularly appropriate due to the personal nature of the device. Currently, adaptive algorithms can be found in many commercially available products, some of which are specifically targeted for use on mobile devices. It is these devices that ensure the rapid penetration of adaptive e-learning into mainstream practice. This paper analyses currently available products from the perspective of adaptive algorithms and mobile technologies.
Popis v anglickém jazyce:
Seznam ohlasů
Ohlas
R01:
RIV/61988987:17450/22:A2402G7H
Complementary Content
Deferred Modules
${title}
${badge}
${loading}
Deferred Modules