Big data e inteligencia artificial, dos herramientas clave en procesos administrativos para instituciones de educación superior

dc.contributor.advisorBotello Herrera, Antony Reynel
dc.contributor.authorMoreno Cardozo, Santiago Nicolás
dc.contributor.corporatenameUniversidad Santo Tomásspa
dc.coverage.campusCRAI-USTA Tunjaspa
dc.date.accessioned2025-01-20T16:32:34Z
dc.date.available2025-01-20T16:32:34Z
dc.description.degreelevelPregradospa
dc.description.degreenameIngeniero Informáticospa
dc.format.mimetypeapplication/pdfspa
dc.identifier.citationMoreno Cardozo, S. N. (2024). Big data e inteligencia artificial, dos herramientas clave en procesos administrativos para instituciones de educación superior. [Trabajo de Grado, Universidad Santo Tomás]. Repositorio Institucional.spa
dc.identifier.instnameinstname:Universidad Santo Tomásspa
dc.identifier.reponamereponame:Repositorio Institucional Universidad Santo Tomásspa
dc.identifier.repourlrepourl:https://repository.usta.edu.cospa
dc.identifier.urihttp://hdl.handle.net/11634/59101
dc.language.isospaspa
dc.publisherUniversidad Santo Tomásspa
dc.publisher.facultyFacultad de Ingeniería de Sistemasspa
dc.publisher.programIngeniería Informáticaspa
dc.relation.referencesL. M. Castro Benavides, J. A. Tamayo Arias, M. D. Arango Serna, J. W. Branch Bedoya, and D. Burgos, “Digital Transformation in Higher Education Institutions: A Systematic Literature Review,” Sensors 2020, Vol. 20, Page 3291, vol. 20, no. 11, p. 3291, Jun. 2020, doi: 10.3390/S20113291.spa
dc.relation.referencesM. Akour and M. Alenezi, “Higher Education Future in the Era of Digital Transformation,” Education Sciences 2022, Vol. 12, Page 784, vol. 12, no. 11, p. 784, Nov. 2022, doi: 10.3390/EDUCSCI12110784.spa
dc.relation.referencesP. Arcia, “VISIÓN PROSPECTIVA DE LA COMPLEJIDAD DEL PROCESO ADMINISTRATIVO EN LA GERENCIA EDUCACIONAL,” 2020.spa
dc.relation.referencesS. He, X. Li, and J. Chen, “Application of Data Mining in Predicting College Graduates Employment,” in 2021 4th International Conference on Artificial Intelligence and Big Data, ICAIBD 2021, Institute of Electrical and Electronics Engineers Inc., May 2021, pp. 65– 69. doi: 10.1109/ICAIBD51990.2021.9459039.spa
dc.relation.referencesC. Guan, J. Mou, and Z. Jiang, “Artificial intelligence innovation in education: A twenty-year data-driven historical analysis,” International Journal of Innovation Studies, vol. 4, no. 4, pp. 134–147, Dec. 2020, doi: 10.1016/j.ijis.2020.09.001.spa
dc.relation.referencesT. Lan and M. Li, “Design of college digital enrollment System based on big data platform in digital communication era,” in Proceedings - 2022 6th International Conference on Wireless Communications and Applications, ICWCAPP 2022, Institute of Electrical and Electronics Engineers Inc., 2022, pp. 196–200. doi: 10.1109/ICWCAPP57292.2022.00055.spa
dc.relation.referencesJ. Lei and G. Huang, “Smart Management System of Employment in Universities Based on Big Data Collection and Intelligent Analysis,” in Proceedings of the 5th International Conference on Trends in Electronics and Informatics, ICOEI 2021, Institute of Electrical and Electronics Engineers Inc., Jun. 2021, pp. 1110–1113. doi: 10.1109/ICOEI51242.2021.9453076.spa
dc.relation.referencesY. Si and B. Wu, “Construction and Management Method of University Information Platform Based on Big Data Technology,” Mobile Information Systems, vol. 2022, 2022, doi: 10.1155/2022/7674573.spa
dc.relation.referencesC. Gürkut, A. Elçi, and M. Nat, “An enriched decision-making satisfaction model for student information management systems,” International Journal of Information Management Data Insights, vol. 3, no. 2, Nov. 2023, doi: 10.1016/j.jjimei.2023.100195.spa
dc.relation.referencesJ. Zhu, “AI ethics with Chinese characteristics? Concerns and preferred solutions in Chinese academia,” AI Soc, vol. 39, no. 3, pp. 1261–1274, Jun. 2024, doi: 10.1007/s00146- 022-01578-w.spa
dc.relation.referencesJ. Zhu, “Innovative Exploration of the Integration Path of Artificial Intelligence Ethics and College Students’ Ideological and Political Education,” Applied Mathematics and Nonlinear Sciences, vol. 9, no. 1, Jan. 2024, doi: 10.2478/amns-2024-2280.spa
dc.relation.referencesM. J. Page et al., “The PRISMA 2020 statement: an updated guideline for reporting systematic reviews,” BMJ, vol. 372, Mar. 2021, doi: 10.1136/BMJ.N71.spa
dc.relation.referencesCharles Sturt University, “Systematic literature reviews - Literature Review - Library Guides at Charles Sturt University.” Accessed: Oct. 22, 2024. [Online]. Available: https://libguides.csu.edu.au/review/Systematic.spa
dc.relation.referencesM. Barrett et al., “Using Artificial Intelligence to Enhance Educational Opportunities and Student Services in Higher Education,” Inquiry: The Journal of the Virginia Community Colleges, vol. 22, no. 1, Jul. 2019, Accessed: Nov. 05, 2024. [Online]. Available: https://commons.vccs.edu/inquiry/vol22/iss1/11spa
dc.relation.referencesK. Akrami, M. Akrami, F. Akrami, and M. Hakimi, “Investigating the Integration of Big Data Technologies in Higher Education Settings,” Indonesian Journal of Multidisciplinary on Social and Technology, vol. 2, no. 2, pp. 1–12, Jun. 2024, doi: 10.31004/ijmst.v2i2.296.spa
dc.relation.referencesN. R. Haddaway, L. A. McGuinness, C. C. Pritchard, and M. J. Page, “PRISMA Flow Diagram.” Accessed: Oct. 27, 2024. [Online]. Available: https://estech.shinyapps.io/prisma_flowdiagram/spa
dc.relation.referencesY. Yang, “Construction of Monitoring System for Student Growth Evaluation under the Background of Big Data,” in Proceedings - 2022 International Conference on Information System, Computing and Educational Technology, ICISCET 2022, Institute of Electrical and Electronics Engineers Inc., 2022, pp. 98–101. doi: 10.1109/ICISCET56785.2022.00033.spa
dc.relation.referencesH. Zhai, “Innovation and Practice of Educational Management Path Building in Colleges and Universities in the Context of Big Data,” Applied Mathematics and 15 Nonlinear Sciences, vol. 9, no. 1, Jan. 2024, doi: 10.2478/amns.2023.2.01180.spa
dc.relation.referencesT. N. De Oliveira, F. Bernardini, and J. Viterbo, “An Overview on the Use of Educational Data Mining for Constructing Recommendation Systems to Mitigate Retention in Higher Education,” in Proceedings - Frontiers in Education Conference, FIE, Institute of Electrical and Electronics Engineers Inc., 2021. doi: 10.1109/FIE49875.2021.9637207.spa
dc.relation.referencesK. Gupta, K. Gupta, P. Dwivedi, and M. Chaudhry, “Binary Classification of Students’ Dropout Behaviour in Universities using Machine Learning Algorithms,” IEEE, 2024.spa
dc.relation.referencesN. Ndou, R. Ajoodha, and A. Jadhav, “Educational Data-mining to Determine Student Success at Higher Education Institutions,” in 2020 2nd International Multidisciplinary Information Technology and Engineering Conference, IMITEC 2020, Institute of Electrical and Electronics Engineers Inc., Nov. 2020. doi: 10.1109/IMITEC50163.2020.9334139.spa
dc.relation.referencesB. Assiri, M. Bashraheel, and A. Alsuri, “Improve the Accuracy of Students Admission at Universities Using Machine Learning Techniques,” in Proceedings - 2022 7th International Conference on Data Science and Machine Learning Applications, CDMA 2022, Institute of Electrical and Electronics Engineers Inc., 2022, pp. 127–132. doi: 10.1109/CDMA54072.2022.00026.spa
dc.relation.referencesY. Bao, Y. Sun, and L. He, “Research on the Design of Intelligent Enrollment System for Open Universities,” in Proceedings - 2023 7th International Symposium on Computer Science and Intelligent Control, ISCSIC 2023, Institute of Electrical and Electronics Engineers Inc., 2023, pp. 401–403. doi: 10.1109/ISCSIC60498.2023.00088.spa
dc.relation.referencesT. Zhang and Q. Liu, “Student Achievement Analysis and Prediction Based on Educational Data,” in Proceedings - 2022 4th International Conference on Intelligent Information Processing, IIP 2022, Institute of Electrical and Electronics Engineers Inc., 2022, pp. 245–249. doi: 10.1109/IIP57348.2022.00057.spa
dc.relation.referencesH. Zeineddine, U. Braendle, and A. Farah, “Enhancing prediction of student success: Automated machine learning approach,” Computers and Electrical Engineering, vol. 89, Jan. 2021, doi: 10.1016/j.compeleceng.2020.106903.spa
dc.relation.referencesN. Sghir, A. Adadi, Z. A. El Mouden, and M. Lahmer, “Using Learning Analytics to Improve Students’ Enrollments in Higher Education,” in 2022 2nd International Conference on Innovative Research in Applied Science, Engineering and Technology, IRASET 2022, Institute of Electrical and Electronics Engineers Inc., 2022. doi: 10.1109/IRASET52964.2022.9737993.spa
dc.relation.referencesB. Ujkani, D. Minkovska, and L. Stoyanova, “A Machine Learning Approach for Predicting Student Enrollment in the University,” in 2021 30th International Scientific Conference Electronics, ET 2021 - Proceedings, Institute of Electrical and Electronics Engineers Inc., Sep. 2021. doi: 10.1109/ET52713.2021.9579795.spa
dc.relation.referencesJ. Domingo-Alejo, “AI Integrated Administration tool design with ML Technology for Smart Education System,” in 2024 4th International Conference on Advance Computing and Innovative Technologies in Engineering, ICACITE 2024, Institute of Electrical and Electronics Engineers Inc., 2024, pp. 1423–1428. doi: 10.1109/ICACITE60783.2024.10616455.spa
dc.relation.referencesA. Kalakova, Y. Amanbek, R. Kairgeldin, and G. Kalakova, “Classification and prediction of Student’s Enrollment to Kazakhstanis Universities Using Characteristics of Applicant and Testing Results,” in SIST 2021 - 2021 IEEE International Conference on Smart Information Systems and Technologies, Institute of Electrical and Electronics Engineers Inc., Apr. 2021. doi: 10.1109/SIST50301.2021.9465929.spa
dc.relation.referencesB. Huang, “Construction and Application of a Modern Comprehensive Education 16 Management System in Universities Aimed at Fostering Virtue Through Education,” International Journal of Cognitive Informatics and Natural Intelligence, vol. 18, no. 1, 2024, doi: 10.4018/IJCINI.343630.spa
dc.relation.referencesM. V. Martins, L. Baptista, J. Machado, and V. Realinho, “Multi-Class Phased Prediction of Academic Performance and Dropout in Higher Education,” Applied Sciences (Switzerland), vol. 13, no. 8, Apr. 2023, doi: 10.3390/app13084702.spa
dc.relation.references“VOSviewer - Visualizing scientific landscapes.” Accessed: Oct. 27, 2024. [Online]. Available: https://www.vosviewer.com/spa
dc.relation.referencesT. Wang et al., “Exploring the Potential Impact of Artificial Intelligence (AI) on International Students in Higher Education: Generative AI, Chatbots, Analytics, and International Student Success,” Applied Sciences 2023, Vol. 13, Page 6716, vol. 13, no. 11, p. 6716, May 2023, doi: 10.3390/APP13116716.spa
dc.relation.referencesM. E. Barzola, “Migración semiautomática de sistemas Legacy hacia arquitecturas orientadas a servicios,” 2017, Accessed: Oct. 27, 2024. [Online]. Available: http://sedici.unlp.edu.ar/handle/10915/82154spa
dc.relation.referencesG. Mohamed et al., “Streamlining Student Support: Enhancing Administrative Assistance and Interaction Through a Chatbot Solution,” pp. 69–80, 2024, doi: 10.1007/978-3-031-50300-9_4.spa
dc.relation.referencesIBM, “¿Qué es un chatbot? | IBM.” Accessed: Oct. 07, 2024. [Online]. Available: https://www.ibm.com/es-es/topics/chatbotsspa
dc.relation.referencesA. S. AL-Malaise AL-Ghamdi, M. Ragab, and M. F. S. Sabir, “Enhanced artificial intelligence-based cybersecurity intrusion detection for higher education institutions,” Computers, Materials and Continua, vol. 72, no. 2, pp. 2895–2907, 2022, doi: 10.32604/cmc.2022.026405.spa
dc.relation.referencesS. Molina Gonzáles, “Mecanismos de Seguridad para el Diseño de Desarrollo Web,” 2024.spa
dc.relation.referencesS. Ordoñez Tumbo, K. Márceles Villalba, and S. Amador Donado, “Validation of the Intelligence Technique in the detection of cyber attacks,” Ingeniería y Competitividad, vol. 26, no. 3, Aug. 2024, doi: 10.25100/iyc.v26i3.13800.spa
dc.relation.referencesM. Boujarra, A. Al Karkouri, Y. Fakhri, and S. Bourekkadi, “DIGITAL SECURITY IN MOROCCAN UNIVERSITIES IN THE ERA OF ARTIFICIAL INTELLIGENCE,” J Theor Appl Inf Technol, vol. 15, no. 15, 2024, [Online]. Available: www.jatit.orgspa
dc.relation.referencesM. Usher and M. Barak, “Unpacking the role of AI ethics online education for science and engineering students,” Int J STEM Educ, vol. 11, no. 1, Dec. 2024, doi: 10.1186/s40594-024-00493-4.spa
dc.relation.referencesY. Walter, “Embracing the future of Artificial Intelligence in the classroom: the relevance of AI literacy, prompt engineering, and critical thinking in modern education,” International Journal of Educational Technology in Higher Education, vol. 21, no. 1, Dec. 2024, doi: 10.1186/s41239-024-00448-3.spa
dc.relation.referencesH. Keshav Rajesh, D. Gupta, U. Gupta, S. Madhukullya, S. N. Divekar, and G. Arora, “Artificial Intelligence in Higher Education: Transformative Potential, Challenges, and Future Directions,” Library Progress International|, vol. 44, no. 3, p. 44, 2024, [Online]. Available: www.bpasjournals.comspa
dc.relation.referencesK. Choudhary, D. Ganguly, P. kumar singh, and D. Joseph, “Revolutionizing Higher Education with AI: Opportunities, Challenges, and Future Trends,” Library Progress International, vol. 44, no. 3, 2024, [Online]. Available: www.bpasjournals.comspa
dc.relation.referencesR. Sova, C. Tudor, C. V. Tartavulea, and R. I. Dieaconescu, “Artificial Intelligence Tool Adoption in Higher Education: A Structural Equation Modeling Approach to 17 Understanding Impact Factors among Economics Students,” Electronics (Basel), vol. 13, no. 18, p. 3632, Sep. 2024, doi: 10.3390/electronics13183632.spa
dc.relation.referencesZ. M. Rodzi et al., “Unraveling the Complexity: A DEMATEL Analysis of the Negative Impact of Artificial Intelligence (AI) Adoption among Students in Higher Education,” Journal of Intelligent Systems and Internet of Things, vol. 11, no. 2, pp. 30–41, 2024, doi: 10.54216/JISIoT.110203.spa
dc.relation.referencesN. Segovia-García, “Optimizing Student Support: A Review of the Use of AI Chatbots in Higher Education,” European Public and Social Innovation Review, vol. 9, Jun. 2024, doi: 10.31637/epsir-2024-324.spa
dc.relation.referencesP. S. Venkateswaran, F. T. M. Ayasrah, V. K. Nomula, P. Paramasivan, P. Anand, and K. Bogeshwaran, “Applications of Artificial Intelligence Tools in Higher Education,” https://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/979-8-3693-2193-5.ch008, pp. 124–136, Jan. 2024, doi: 10.4018/979-8-3693-2193-5.CH008spa
dc.relation.references“Ciberseguridad en la Eduacación: Discute los desafíos de seguridad que enfrentan las instituciones eduactivas y cómo pueden proteger la información confidencial de estudiantes y personal. - Revista Enred - Noticias de Tecnología y Negocios Ecuador.” Accessed: Nov. 09, 2024. [Online]. Available: https://www.enred.ec/ciberseguridad-enla-eduacacion-discute-los-desafios-de-seguridad-que-enfrentan-las-institucioneseduactivas-y-como-pueden-proteger-la-informacion-confidencial-de-estudiantes-ypersonal/spa
dc.relation.referencesM. Sinha, “Balancing Education and Cybersecurity: Addressing Data Privacy Challenges in Schools and Higher Education,” International Journal of Engineering Fields, ISSN: 3078-4425, vol. 2, no. 2, pp. 43–49, Apr. 2024, Accessed: Nov. 09, 2024. [Online]. Available: https://journalofengineering.org/index.php/ijef/article/view/17spa
dc.rightsAtribución-NoComercial-SinDerivadas 2.5 Colombia*
dc.rightsAtribución-NoComercial-SinDerivadas 2.5 Colombia*
dc.rights.accessrightsinfo:eu-repo/semantics/openAccess
dc.rights.coarhttp://purl.org/coar/access_right/c_abf2spa
dc.rights.localAbierto (Texto Completo)spa
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/2.5/co/*
dc.subject.keywordBig Dataspa
dc.subject.keywordArtificial Intelligencespa
dc.subject.keywordAdministrative processesspa
dc.subject.keywordStudent enrollmentspa
dc.subject.keywordEnrollment processesspa
dc.subject.proposalBig Dataspa
dc.subject.proposalInteligencia Artificialspa
dc.subject.proposalProcesos administrativosspa
dc.subject.proposalMatriculación de estudiantesspa
dc.subject.proposalprocesos de matrículaspa
dc.titleBig data e inteligencia artificial, dos herramientas clave en procesos administrativos para instituciones de educación superiorspa
dc.type.coarhttp://purl.org/coar/resource_type/c_7a1f
dc.type.coarversionhttp://purl.org/coar/version/c_ab4af688f83e57aa
dc.type.driveinfo:eu-repo/semantics/bachelorThesis
dc.type.localTrabajo de gradospa
dc.type.versioninfo:eu-repo/semantics/acceptedVersion

Archivos

Bloque original

Mostrando 1 - 3 de 3
Cargando...
Miniatura
Nombre:
2024santiagomoreno.pdf
Tamaño:
725.2 KB
Formato:
Adobe Portable Document Format
Descripción:
Thumbnail USTA
Nombre:
2024cartaderechosdeautor.pdf
Tamaño:
925.31 KB
Formato:
Adobe Portable Document Format
Descripción:
Thumbnail USTA
Nombre:
Ingenieria de sistemas 160125.pdf
Tamaño:
184.19 KB
Formato:
Adobe Portable Document Format
Descripción:
Carta aprobación facultad

Bloque de licencias

Mostrando 1 - 1 de 1
Thumbnail USTA
Nombre:
license.txt
Tamaño:
807 B
Formato:
Item-specific license agreed upon to submission
Descripción: