Digital Analytics Applications for Sustainable Training and
Education

t 2025

Digital Analytics Applications for Sustainable Training and Education

SOOD, Kiran; Prateek KALIA; Simon GRIMA a Aryan CHAUDHARY

Základní údaje

Originální název

Digital Analytics Applications for Sustainable Training and Education

Název česky

Digital Analytics Applications for Sustainable Training and Education

Autoři

SOOD, Kiran; Prateek KALIA; Simon GRIMA a Aryan CHAUDHARY

Vydání

1. vyd. United Kingdom, 520 s. First, 2025

Nakladatel

Routledge

Další údaje

Jazyk

angličtina

Typ výsledku

Editorství odborné knihy

Obor

50204 Business and management

Stát vydavatele

Velká Británie a Severní Irsko

Utajení

není předmětem státního či obchodního tajemství

Forma vydání

elektronická verze "online"

Odkazy

URL

Označené pro přenos do RIV

Organizační jednotka

Ekonomicko-správní fakulta

ISBN

978-1-77491-594-3

Klíčová slova česky

Digital Analytics; Applications; Sustainable; Training; Education

Klíčová slova anglicky

Digital Analytics; Applications; Sustainable; Training; Education

Příznaky

Mezinárodní význam, Recenzováno

Změněno: 20. 3. 2026 13:56, Mgr. Alžběta Karolyiová

Anotace

V originále

Digital analytics is an emerging new trend used in education to measure, collect, analyze, and report on data about learners and their contexts and to understand and optimize learning and learning environments. Taking into consideration the UN's Sustainable Development Goal 4, which aims to "ensure inclusive and equitable quality education and promote lifelong learning opportunities for all," this new book looks at digital technologies as a means to foster sustainable educational innovations for improving the teaching, learning, and assessment from K-12 to higher education. It demonstrates how artificial intelligence, deep learning, cloud computing, big data, and machine learning can be used to assess, evaluate, record, and predict student progress, participation, performance, personalization, and empowerment in academic and curricular activities.

Citovat

SOOD, Kiran; Prateek KALIA; Simon GRIMA a Aryan CHAUDHARY. Digital Analytics Applications for Sustainable Training and Education. Online. 1. vyd. United Kingdom: Routledge, 2025, 520 s. First. ISBN 978-1-77491-594-3.

@book{2455075,
   author = {Sood, Kiran and Kalia, Prateek and Grima, Simon and Chaudhary, Aryan},
   address = {United Kingdom},
   edition = {1},
   keywords = {Digital Analytics; Applications; Sustainable; Training; Education},
   howpublished = {elektronická verze "online"},
   language = {eng},
   location = {United Kingdom},
   isbn = {978-1-77491-594-3},
   publisher = {Routledge},
   title = {Digital Analytics Applications for Sustainable Training and Education},
   url = {https://www.routledge.com/Digital-Analytics-Applications-for-Sustainable-Training-and-Education/Sood-Kalia-Grima-Chaudhary/p/book/9781774915943},
   year = {2025}
}

TY  - BOOK
ID  - 2455075
AU  - Sood, Kiran - Kalia, Prateek - Grima, Simon - Chaudhary, Aryan
PY  - 2025
TI  - Digital Analytics Applications for Sustainable Training and Education
VL  - First
PB  - Routledge
CY  - United Kingdom
SN  - 9781774915943
KW  - Digital Analytics
KW  - Applications
KW  - Sustainable
KW  - Training
KW  - Education
UR  - https://www.routledge.com/Digital-Analytics-Applications-for-Sustainable-Training-and-Education/Sood-Kalia-Grima-Chaudhary/p/book/9781774915943
N2  - Digital analytics is an emerging new trend used in education to measure, collect, analyze, and report on data about learners and their contexts and to understand and optimize learning and learning environments. Taking into consideration the UN's Sustainable Development Goal 4, which aims to "ensure inclusive and equitable quality education and promote lifelong learning opportunities for all," this new book looks at digital technologies as a means to foster sustainable educational innovations for improving the teaching, learning, and assessment from K-12 to higher education. It demonstrates how artificial intelligence, deep learning, cloud computing, big data, and machine learning can be used to assess, evaluate, record, and predict student progress, participation, performance, personalization, and empowerment in academic and curricular activities.
ER  -

SOOD, Kiran; Prateek KALIA; Simon GRIMA a Aryan CHAUDHARY. \textit{Digital Analytics Applications for Sustainable Training and Education}. Online. 1. vyd. United Kingdom: Routledge, 2025, 520 s. First. ISBN~978-1-77491-594-3.

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