Social learning analytics for determining learning styles in a smart classroom

Autor:	Angel Pinto, Javier Nieto Gutiérrez, Omar Buendia, Jose Aguilar
Rok vydání:	2019
Předmět:	Learning styles 050101 languages & linguistics Computer science 05 social sciences Social learning analytics Learning analytics 050301 education 0501 psychology and cognitive sciences Smart classroom 0503 education Data science Computer Science Applications Education
Zdroj:	Interactive Learning Environments. 30:245-261
ISSN:	1744-5191 1049-4820
DOI:	10.1080/10494820.2019.1651745
Popis:	Social Learning Analytics (SLA) seeks to obtain hidden information in large amounts of data, usually of an educational nature. SLA focuses mainly on the analysis of social networks (Social ...
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::6db72f961853b5ef055d5fae0494ca19 https://doi.org/10.1080/10494820.2019.1651745 Zobrazit plný text záznamu