Blended Learning in Smart Learning Environments
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F62690094%3A18450%2F19%3A50015991" target="_blank" >RIV/62690094:18450/19:50015991 - isvavai.cz</a>
Result on the web
<a href="https://link.springer.com/chapter/10.1007/978-3-030-30244-3_6" target="_blank" >https://link.springer.com/chapter/10.1007/978-3-030-30244-3_6</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-030-30244-3_6" target="_blank" >10.1007/978-3-030-30244-3_6</a>
Alternative languages
Result language
angličtina
Original language name
Blended Learning in Smart Learning Environments
Original language description
It is already commonly accepted, that blended learning seems to be one of the modern and promising approaches to teaching and learning. Blended learning aims to integrate traditional learning with innovative means, such as e-learning, analytics, game-based learning, and open educational resources, in order to create a new learning environment aiming to enhance learning effectiveness, and enrich learning experience. In the meantime, as one important and applicable output of the smart environments research, the concept of smart learning environments has evolved with a number of successful applications. The aim of this paper is to argue, that blended learning concept can be viewed as a promising perspective for affective learning strategies inclusion into recently more and more popular smart learning environments.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
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Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2019
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Progress in Artificial Intelligence. EPIA 2019.
ISBN
978-3-030-30243-6
ISSN
0302-9743
e-ISSN
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Number of pages
6
Pages from-to
62-67
Publisher name
Springer
Place of publication
Cham
Event location
Vila Real
Event date
Sep 3, 2019
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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