Natural Language Processing and Deep Learning for Blended Learning as an Aspect of Computational Linguistics

Kód výsledku v 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>

Výsledek na webu

<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>

Jazyk výsledku

angličtina

Název v původním jazyce

Natural Language Processing and Deep Learning for Blended Learning as an Aspect of Computational Linguistics

Popis výsledku v původním jazyce

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.

Název v anglickém jazyce

Natural Language Processing and Deep Learning for Blended Learning as an Aspect of Computational Linguistics

Popis výsledku anglicky

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.

Druh

D - Stať ve sborníku

CEP obor

—

OECD FORD obor

60203 - Linguistics

Projekt

—

Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2021

Kód důvěrnosti údajů

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

Název statě ve sborníku

Advances in Intelligent Systems and Computing

ISBN

978-3-030-52574-3

ISSN

2194-5357

e-ISSN

2194-5365

Počet stran výsledku

7

Strana od-do

842-848

Název nakladatele

Springer

Místo vydání

Switzerland

Místo konání akce

Athens; United States

Datum konání akce

26. 2. 2020

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

—