Current Online Learning Trends for Professionals and Entrepreneurs in Business

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This article explores the trends in online learning and the influence of specific criteria in the selection of online courses among executives and entrepreneurs in the business sector. The use of artificial intelligence (AI) in online learning platforms has been a key factor in enhancing the persona...

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Detalles Bibliográficos
Autores: Delgado, Ivan, Mogollón, Nicoll, Castillo, Francisco, Acosta, Deisy, Olivera, Rossana, Cruzalegui, Robert
Formato: artículo
Fecha de Publicación:2025
Institución:Universidad Peruana de Ciencias Aplicadas
Repositorio:UPC-Institucional
Lenguaje:inglés
OAI Identifier:oai:repositorioacademico.upc.edu.pe:10757/688401
Enlace del recurso:https://doi.org/10.19153/cleiej.28.4.3
http://hdl.handle.net/10757/688401
Nivel de acceso:acceso abierto
Materia:Artificial intelligence (AI)
Online learning
Personalization
Student interaction patterns
Virtual education
https://purl.org/pe-repo/ocde/ford#5.02.04
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dc.title.es_PE.fl_str_mv Current Online Learning Trends for Professionals and Entrepreneurs in Business
title Current Online Learning Trends for Professionals and Entrepreneurs in Business
spellingShingle Current Online Learning Trends for Professionals and Entrepreneurs in Business
Delgado, Ivan
Artificial intelligence (AI)
Online learning
Personalization
Student interaction patterns
Virtual education
https://purl.org/pe-repo/ocde/ford#5.02.04
title_short Current Online Learning Trends for Professionals and Entrepreneurs in Business
title_full Current Online Learning Trends for Professionals and Entrepreneurs in Business
title_fullStr Current Online Learning Trends for Professionals and Entrepreneurs in Business
title_full_unstemmed Current Online Learning Trends for Professionals and Entrepreneurs in Business
title_sort Current Online Learning Trends for Professionals and Entrepreneurs in Business
author Delgado, Ivan
author_facet Delgado, Ivan
Mogollón, Nicoll
Castillo, Francisco
Acosta, Deisy
Olivera, Rossana
Cruzalegui, Robert
author_role author
author2 Mogollón, Nicoll
Castillo, Francisco
Acosta, Deisy
Olivera, Rossana
Cruzalegui, Robert
author2_role author
author
author
author
author
dc.contributor.author.fl_str_mv Delgado, Ivan
Mogollón, Nicoll
Castillo, Francisco
Acosta, Deisy
Olivera, Rossana
Cruzalegui, Robert
dc.subject.es_PE.fl_str_mv Artificial intelligence (AI)
Online learning
Personalization
Student interaction patterns
Virtual education
topic Artificial intelligence (AI)
Online learning
Personalization
Student interaction patterns
Virtual education
https://purl.org/pe-repo/ocde/ford#5.02.04
dc.subject.ocde.es_PE.fl_str_mv https://purl.org/pe-repo/ocde/ford#5.02.04
description This article explores the trends in online learning and the influence of specific criteria in the selection of online courses among executives and entrepreneurs in the business sector. The use of artificial intelligence (AI) in online learning platforms has been a key factor in enhancing the personalization and adaptability of courses, resulting in higher student satisfaction and success. The study highlights the evolution and importance of online learning platforms, detailing their methods, popular courses, pricing, and flexibility, which contribute to their success in virtual education. Additionally, the integration of AI technologies has allowed for a deeper analysis of student interaction patterns, facilitating the identification of areas for improvement and the implementation of personalized interventions. The research underscores the need for continuous updates in both technological tools and educator skills to meet the growing demands of online education. The article concludes that virtual education has a scalable and continuously growing future, driven by its perceived benefits and the adoption of advanced technologies.
publishDate 2025
dc.date.accessioned.none.fl_str_mv 2026-01-21T22:13:25Z
dc.date.available.none.fl_str_mv 2026-01-21T22:13:25Z
dc.date.issued.fl_str_mv 2025-08-01
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dc.identifier.eissn.none.fl_str_mv 07175000
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dc.identifier.scopusid.none.fl_str_mv SCOPUS_ID:105012405940
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http://hdl.handle.net/10757/688401
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Clei Eletronic Journal Cleiej
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dc.source.volume.none.fl_str_mv 28
dc.source.issue.none.fl_str_mv 4
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