Natural Language Processing and Deep Learning for Blended Learning as an Aspect of Computational Linguistics
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F62690094%3A18450%2F21%3A50016951" target="_blank" >RIV/62690094:18450/21:50016951 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1007/978-3-030-52575-0_69" target="_blank" >http://dx.doi.org/10.1007/978-3-030-52575-0_69</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-030-52575-0_69" target="_blank" >10.1007/978-3-030-52575-0_69</a>
Alternative languages
Result language
angličtina
Original language name
Natural Language Processing and Deep Learning for Blended Learning as an Aspect of Computational Linguistics
Original language description
Machine learning has been used for several years already in information science to create algorithms which enable computers to solve problems without giving them particular tasks and instructions to perform these tasks. This paper attempts to concentrate on possibilities of this AI (artificial intelligence) subfield inasmuch it could prove helpful for blended learning. It brings possible questions which are connected to e-learning, blended learning and machine learning and its utilization in university courses. It also brings several questions of computational linguistics which could prove extremely helpful in blended learning processes in which it could bring big data analysis. These phenomena are relatively new, therefore, neglected by blended learning scholars, thus this paper brings these new ideas together and wants to present new ideas and concepts which will be utilized in blended learning area. It also suggests new approach to blended learning, coined by the term blended learning 2.0, which implements modern approaches such as computational linguistics and corpus linguistics into the utilization of e-platforms in the educational process.
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
60203 - Linguistics
Result continuities
Project
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Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2021
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Advances in Intelligent Systems and Computing
ISBN
978-3-030-52574-3
ISSN
2194-5357
e-ISSN
2194-5365
Number of pages
7
Pages from-to
842-848
Publisher name
Springer
Place of publication
Switzerland
Event location
Athens; United States
Event date
Feb 26, 2020
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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