Ítem
Embargo
La inteligencia artificial generativa como herramienta para la educación emocional en el trabajo: un estudio de intervención con adultos colombianos
| dc.contributor.advisor | Saldaña Medina, Caleb David | |
| dc.creator | Gómez Ruíz, Carlos Andrés | |
| dc.creator.degree | Magíster en Inteligencia Emocional y Bienestar | |
| dc.creator.degreeLevel | Maestría | |
| dc.date.accessioned | 2025-06-09T20:51:31Z | |
| dc.date.available | 2025-06-09T20:51:31Z | |
| dc.date.created | 2025-06-09 | |
| dc.date.embargoEnd | info:eu-repo/date/embargoEnd/2027-06-10 | |
| dc.description | El presente trabajo presenta la evaluación de un innovador programa de educación emocional implementado en una empresa tecnológica colombiana, dirigido a un grupo de profesionales jóvenes que trabajan de manera remota. A partir de una población inicial de 35 personas, se seleccionó una muestra de 11 participantes que demostraron mayor adherencia a las actividades propuestas. El estudio utilizó como modelo de inteligencia emocional de Mayer y Salovey (1997) y un enfoque mixto de evaluación, aplicando la escala TMMS-24 para su evaluación y entrevistas semi-estructuradas antes y después de la intervención, con el objetivo de medir los cambios en las habilidades de percepción, comprensión y regulación emocional tras la aplicación de dinámicas diarias personalizadas a través de la herramienta Bumii, inteligencia artificial para la educación emocional. Los resultados evidenciaron un cambio significativo en las habilidades de percepción y comprensión emocional, áreas en las que se centró la intervención. Además, se observó que una percepción emocional elevada puede llevar a una sensibilidad excesiva si no se acompaña de estrategias adecuadas de regulación, lo que resalta la importancia de personalizar aún más los contenidos y actividades futuras para equilibrar el desarrollo de las distintas competencias emocionales según las necesidades individuales de los participantes. | |
| dc.description.abstract | This paper presents the evaluation of an innovative emotional education program implemented in a Colombian technology company, aimed at a group of young professionals working remotely. From an initial population of 35 people, a sample of 11 participants who showed greater adherence to the proposed activities was selected. The study used Mayer and Salovey's (1997) model of emotional intelligence and a mixed assessment approach, applying the TMMS-24 scale for evaluation and semi-structured interviews before and after the intervention, with the aim of measuring changes in the skills of perception, understanding and emotional regulation after the application of personalized daily dynamics through the Bumii tool, artificial intelligence forå emotional education. The results showed a significant change in the skills of emotional perception and understanding, areas on which the intervention was focused. In addition, it was observed that a high emotional perception can lead to excessive sensitivity if not accompanied by adequate regulation strategies, which highlights the importance of further customizing future contents and activities to balance the development of the different emotional competencies according to the individual needs of the participants. | |
| dc.format.extent | 70 pp | |
| dc.format.mimetype | application/pdf | |
| dc.identifier.doi | https://doi.org/10.48713/10336_45625 | |
| dc.identifier.uri | https://repository.urosario.edu.co/handle/10336/45625 | |
| dc.language.iso | spa | |
| dc.publisher | Universidad del Rosario | |
| dc.publisher.department | Escuela de Medicina y Ciencias de la Salud | |
| dc.publisher.department | Decanatura del Medio Universitario | |
| dc.publisher.program | Maestría en Inteligencia Emocional y Bienestar | |
| dc.rights | Attribution-NonCommercial-ShareAlike 4.0 International | * |
| dc.rights.accesRights | info:eu-repo/semantics/embargoedAccess | |
| dc.rights.acceso | Restringido (Temporalmente bloqueado) | |
| dc.rights.uri | http://creativecommons.org/licenses/by-nc-sa/4.0/ | * |
| dc.source.bibliographicCitation | Amo, V., & Lieder, F. (2025). Evaluating the Effectiveness of InsightApp for Anxiety, Valued Action, and Psychological Resilience: Longitudinal Randomized Controlled Trial. JMIR Mental Health, 12. Scopus. https://doi.org/10.2196/57201 | |
| dc.source.bibliographicCitation | Braun, V., & and Clarke, V. (2006). Using thematic analysis in psychology. Qualitative Research in Psychology, 3(2), 77–101. https://doi.org/10.1191/1478088706qp063oa Fernández Berrocal, P., & Extremera Pacheco, N. (2005). La Inteligencia Emocional y la educación de las emociones desde el Modelo de Mayer y Salovey. Revista interuniversitaria de formación del profesorado. https://redined.educacion.gob.es/xmlui/handle/11162/35428 | |
| dc.source.bibliographicCitation | Lee, V. V., Lubbe, S. C. C. van der, Goh, L. H., & Valderas, J. M. (2024). Harnessing ChatGPT for Thematic Analysis: Are We Ready? Journal of Medical Internet Research, 26(1), e54974. https://doi.org/10.2196/54974 | |
| dc.source.bibliographicCitation | Malik, I., & Mushquash, A. R. (2025). Acceptance of a mental health app (JoyPopTM) for postsecondary students: A prospective evaluation using the UTAUT2. Frontiers in Digital Health, 7. Scopus. https://doi.org/10.3389/fdgth.2025.1503428 | |
| dc.source.bibliographicCitation | Miranda, C., Matheson, B., Datta, N., Whyte, A., Yang, H.-J., Schmiedmayer, P., Ravi, V., Aalami, O., & Lock, J. (2025). Enhancing Distress Tolerance Skills in Adolescents With Anorexia Nervosa Through the BALANCE Mobile App: Feasibility and Acceptability Study. JMIR Formative Research, 9. Scopus. https://doi.org/10.2196/70278 Osieko, O. M., Maru, L. C., & Bonuke, R. (2017). Does Emotional Intelligence Power Strategic Decision Making? A case of private Enterprises in Nairobi County, Kenya. | |
| dc.source.bibliographicCitation | ResearchGate. https://www.researchgate.net/publication/321421617_Does_Emotional_Intelligence_Power_Strategic_Decision_Making_A_case_of_private_Enterprises_in_Nairobi_County_Kenya | |
| dc.source.bibliographicCitation | Pan, Y., Wan, L., Xue, Q., Ran, G., Chen, K., & Shen, X. (2025). Evaluating the efficacy of a smartphone application in reducing preoperative anxiety in children: A randomised controlled trial. Indian Journal of Anaesthesia, 69(3), 308–314. Scopus. https://doi.org/10.4103/ija.ija_526_24 | |
| dc.source.bibliographicCitation | Ramzan, N., Camp, J., & Tranah, T. (2025). The DBT Coach App as an adjunct to a comprehensive DBT programme for adolescents: An acceptability and feasibility study. Cognitive Behaviour Therapist, 18. Scopus. https://doi.org/10.1017/S1754470X25000017 | |
| dc.source.bibliographicCitation | Salovey, P., & Grewal, D. (2005). The Science of Emotional Intelligence. Current Directions in Psychological Science, 14(6), 281–285. https://www.jstor.org/stable/20183048 Salovey, P., & Sluyter, D. J. (1997). Emotional development and emotional intelligence: Educational implications (1st ed). Basic Books. | |
| dc.source.bibliographicCitation | Turobov, A., Coyle, D., & Harding, V. (2024). Using ChatGPT for analytics. Bennett Institute for Public Policy. https://www.bennettinstitute.cam.ac.uk/publications/using-chatgpt-for-analytics/ | |
| dc.source.bibliographicCitation | Weintraub, M. J., Ichinose, M. C., Zinberg, J. L., Salimian, A., Brown, R. D., Morgan-Fleming, G., Gamarra, J. M., Tran, T., & Miklowitz, D. J. (2025). A Randomized Trial of an App-Enhanced Group Cognitive Behavioral Therapy for Adolescents With Mood or Psychotic Spectrum Disorders. Journal of Consulting and Clinical Psychology, 93(3), 131–143. Scopus. https://doi.org/10.1037/ccp0000946 | |
| dc.source.bibliographicCitation | Zhong, K., Qiao, T., Zhang, L. (2019). A Study of Emotional Communication of Emoticon Based on Russell’s Circumplex Model of Affect. In: Marcus, A., Wang, W. (eds) Design, User Experience, and Usability. Design Philosophy and Theory. HCII 2019. Lecture Notes in Computer Science(), vol 11583. Springer, Cham. https://doi.org/10.1007/978-3-030-23570-3_43 | |
| dc.source.instname | instname:Universidad del Rosario | |
| dc.source.reponame | reponame:Repositorio Institucional EdocUR | |
| dc.subject | Inteligencia emocional | |
| dc.subject | Inteligencia artificial | |
| dc.subject | App | |
| dc.subject | Educación emocional | |
| dc.subject.keyword | Emotional intelligence | |
| dc.subject.keyword | Artificial intelligence | |
| dc.subject.keyword | App | |
| dc.title | La inteligencia artificial generativa como herramienta para la educación emocional en el trabajo: un estudio de intervención con adultos colombianos | |
| dc.title.TranslatedTitle | Generative artificial intelligence as a tool for emotional education at work: an intervention study with Colombian adults | |
| dc.type | bachelorThesis | |
| dc.type.hasVersion | info:eu-repo/semantics/acceptedVersion | |
| dc.type.spa | Trabajo de grado | |
| local.department.report | Escuela de Medicina y Ciencias de la Salud | |
| local.department.report | Decanatura del medio universitario | |
| local.regiones | Bogotá |
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