Loading…

Data Analytics and Machine Learning in Education

The widespread application of information and communication technologies in education, especially in the context of learning management platforms, is generating a large amount of data related to the academic activities in which students and teachers participate [...]

Saved in:
Bibliographic Details
Published in:Applied sciences 2023-02, Vol.13 (3), p.1418
Main Authors: Gómez-Pulido, Juan A., Park, Young, Soto, Ricardo, Lanza-Gutiérrez, José M.
Format: Article
Language:English
Subjects:
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
cited_by cdi_FETCH-LOGICAL-c364t-a8abce2e74d801579a8cdeec3e81e118e58a93e92573a5ae6d5f9f063d9abb0f3
cites cdi_FETCH-LOGICAL-c364t-a8abce2e74d801579a8cdeec3e81e118e58a93e92573a5ae6d5f9f063d9abb0f3
container_end_page
container_issue 3
container_start_page 1418
container_title Applied sciences
container_volume 13
creator Gómez-Pulido, Juan A.
Park, Young
Soto, Ricardo
Lanza-Gutiérrez, José M.
description The widespread application of information and communication technologies in education, especially in the context of learning management platforms, is generating a large amount of data related to the academic activities in which students and teachers participate [...]
doi_str_mv 10.3390/app13031418
format article
fullrecord <record><control><sourceid>proquest_doaj_</sourceid><recordid>TN_cdi_doaj_primary_oai_doaj_org_article_cd482970f4f24895b13f8bc3f45e87fe</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><doaj_id>oai_doaj_org_article_cd482970f4f24895b13f8bc3f45e87fe</doaj_id><sourcerecordid>2779901471</sourcerecordid><originalsourceid>FETCH-LOGICAL-c364t-a8abce2e74d801579a8cdeec3e81e118e58a93e92573a5ae6d5f9f063d9abb0f3</originalsourceid><addsrcrecordid>eNpNkEFPwzAMhSMEEtPYiT9QiSMqxE3aJMdpDJg0xAXOkZs4o9NoS9Id9u8pDKH5Yst6-vz8GLsGfieE4ffY9yC4AAn6jE0KrqpcSFDnJ_Mlm6W05WMZEBr4hPEHHDCbt7g7DI1LGbY-e0H30bSUrQlj27SbrGmzpd87HJquvWIXAXeJZn99yt4fl2-L53z9-rRazNe5E5UcctRYOypISa85lMqgdp7ICdJAAJpKjUaQKUolsESqfBlM4JXwBuuaBzFlqyPXd7i1fWw-MR5sh439XXRxYzGOlndknZe6MIoHGQqpTVmDCLp2IsiStAo0sm6OrD52X3tKg912-zj-nGyhlDEcpIJRdXtUudilFCn8XwVufxK2JwmLb2XfbFE</addsrcrecordid><sourcetype>Open Website</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2779901471</pqid></control><display><type>article</type><title>Data Analytics and Machine Learning in Education</title><source>Publicly Available Content Database</source><source>Coronavirus Research Database</source><creator>Gómez-Pulido, Juan A. ; Park, Young ; Soto, Ricardo ; Lanza-Gutiérrez, José M.</creator><creatorcontrib>Gómez-Pulido, Juan A. ; Park, Young ; Soto, Ricardo ; Lanza-Gutiérrez, José M.</creatorcontrib><description>The widespread application of information and communication technologies in education, especially in the context of learning management platforms, is generating a large amount of data related to the academic activities in which students and teachers participate [...]</description><identifier>ISSN: 2076-3417</identifier><identifier>EISSN: 2076-3417</identifier><identifier>DOI: 10.3390/app13031418</identifier><language>eng</language><publisher>Basel: MDPI AG</publisher><subject>Academic achievement ; Artificial intelligence ; Collaboration ; Coronaviruses ; COVID-19 ; Data analysis ; n/a</subject><ispartof>Applied sciences, 2023-02, Vol.13 (3), p.1418</ispartof><rights>2023 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c364t-a8abce2e74d801579a8cdeec3e81e118e58a93e92573a5ae6d5f9f063d9abb0f3</citedby><cites>FETCH-LOGICAL-c364t-a8abce2e74d801579a8cdeec3e81e118e58a93e92573a5ae6d5f9f063d9abb0f3</cites><orcidid>0000-0002-5755-6929 ; 0000-0002-1083-5015 ; 0000-0002-0441-9402</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.proquest.com/docview/2779901471/fulltextPDF?pq-origsite=primo$$EPDF$$P50$$Gproquest$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.proquest.com/docview/2779901471?pq-origsite=primo$$EHTML$$P50$$Gproquest$$Hfree_for_read</linktohtml><link.rule.ids>314,776,780,25732,27903,27904,36991,38495,43874,44569,74158,74872</link.rule.ids></links><search><creatorcontrib>Gómez-Pulido, Juan A.</creatorcontrib><creatorcontrib>Park, Young</creatorcontrib><creatorcontrib>Soto, Ricardo</creatorcontrib><creatorcontrib>Lanza-Gutiérrez, José M.</creatorcontrib><title>Data Analytics and Machine Learning in Education</title><title>Applied sciences</title><description>The widespread application of information and communication technologies in education, especially in the context of learning management platforms, is generating a large amount of data related to the academic activities in which students and teachers participate [...]</description><subject>Academic achievement</subject><subject>Artificial intelligence</subject><subject>Collaboration</subject><subject>Coronaviruses</subject><subject>COVID-19</subject><subject>Data analysis</subject><subject>n/a</subject><issn>2076-3417</issn><issn>2076-3417</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2023</creationdate><recordtype>article</recordtype><sourceid>COVID</sourceid><sourceid>PIMPY</sourceid><sourceid>DOA</sourceid><recordid>eNpNkEFPwzAMhSMEEtPYiT9QiSMqxE3aJMdpDJg0xAXOkZs4o9NoS9Id9u8pDKH5Yst6-vz8GLsGfieE4ffY9yC4AAn6jE0KrqpcSFDnJ_Mlm6W05WMZEBr4hPEHHDCbt7g7DI1LGbY-e0H30bSUrQlj27SbrGmzpd87HJquvWIXAXeJZn99yt4fl2-L53z9-rRazNe5E5UcctRYOypISa85lMqgdp7ICdJAAJpKjUaQKUolsESqfBlM4JXwBuuaBzFlqyPXd7i1fWw-MR5sh439XXRxYzGOlndknZe6MIoHGQqpTVmDCLp2IsiStAo0sm6OrD52X3tKg912-zj-nGyhlDEcpIJRdXtUudilFCn8XwVufxK2JwmLb2XfbFE</recordid><startdate>20230201</startdate><enddate>20230201</enddate><creator>Gómez-Pulido, Juan A.</creator><creator>Park, Young</creator><creator>Soto, Ricardo</creator><creator>Lanza-Gutiérrez, José M.</creator><general>MDPI AG</general><scope>AAYXX</scope><scope>CITATION</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>CCPQU</scope><scope>COVID</scope><scope>DWQXO</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>DOA</scope><orcidid>https://orcid.org/0000-0002-5755-6929</orcidid><orcidid>https://orcid.org/0000-0002-1083-5015</orcidid><orcidid>https://orcid.org/0000-0002-0441-9402</orcidid></search><sort><creationdate>20230201</creationdate><title>Data Analytics and Machine Learning in Education</title><author>Gómez-Pulido, Juan A. ; Park, Young ; Soto, Ricardo ; Lanza-Gutiérrez, José M.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c364t-a8abce2e74d801579a8cdeec3e81e118e58a93e92573a5ae6d5f9f063d9abb0f3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2023</creationdate><topic>Academic achievement</topic><topic>Artificial intelligence</topic><topic>Collaboration</topic><topic>Coronaviruses</topic><topic>COVID-19</topic><topic>Data analysis</topic><topic>n/a</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Gómez-Pulido, Juan A.</creatorcontrib><creatorcontrib>Park, Young</creatorcontrib><creatorcontrib>Soto, Ricardo</creatorcontrib><creatorcontrib>Lanza-Gutiérrez, José M.</creatorcontrib><collection>CrossRef</collection><collection>ProQuest Central (Alumni)</collection><collection>ProQuest Central UK/Ireland</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>ProQuest One Community College</collection><collection>Coronavirus Research Database</collection><collection>ProQuest Central Korea</collection><collection>Publicly Available Content Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>DOAJ Directory of Open Access Journals</collection><jtitle>Applied sciences</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Gómez-Pulido, Juan A.</au><au>Park, Young</au><au>Soto, Ricardo</au><au>Lanza-Gutiérrez, José M.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Data Analytics and Machine Learning in Education</atitle><jtitle>Applied sciences</jtitle><date>2023-02-01</date><risdate>2023</risdate><volume>13</volume><issue>3</issue><spage>1418</spage><pages>1418-</pages><issn>2076-3417</issn><eissn>2076-3417</eissn><abstract>The widespread application of information and communication technologies in education, especially in the context of learning management platforms, is generating a large amount of data related to the academic activities in which students and teachers participate [...]</abstract><cop>Basel</cop><pub>MDPI AG</pub><doi>10.3390/app13031418</doi><orcidid>https://orcid.org/0000-0002-5755-6929</orcidid><orcidid>https://orcid.org/0000-0002-1083-5015</orcidid><orcidid>https://orcid.org/0000-0002-0441-9402</orcidid><oa>free_for_read</oa></addata></record>
fulltext fulltext
identifier ISSN: 2076-3417
ispartof Applied sciences, 2023-02, Vol.13 (3), p.1418
issn 2076-3417
2076-3417
language eng
recordid cdi_doaj_primary_oai_doaj_org_article_cd482970f4f24895b13f8bc3f45e87fe
source Publicly Available Content Database; Coronavirus Research Database
subjects Academic achievement
Artificial intelligence
Collaboration
Coronaviruses
COVID-19
Data analysis
n/a
title Data Analytics and Machine Learning in Education
url http://sfxeu10.hosted.exlibrisgroup.com/loughborough?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-24T10%3A31%3A46IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_doaj_&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Data%20Analytics%20and%20Machine%20Learning%20in%20Education&rft.jtitle=Applied%20sciences&rft.au=G%C3%B3mez-Pulido,%20Juan%20A.&rft.date=2023-02-01&rft.volume=13&rft.issue=3&rft.spage=1418&rft.pages=1418-&rft.issn=2076-3417&rft.eissn=2076-3417&rft_id=info:doi/10.3390/app13031418&rft_dat=%3Cproquest_doaj_%3E2779901471%3C/proquest_doaj_%3E%3Cgrp_id%3Ecdi_FETCH-LOGICAL-c364t-a8abce2e74d801579a8cdeec3e81e118e58a93e92573a5ae6d5f9f063d9abb0f3%3C/grp_id%3E%3Coa%3E%3C/oa%3E%3Curl%3E%3C/url%3E&rft_id=info:oai/&rft_pqid=2779901471&rft_id=info:pmid/&rfr_iscdi=true