Ir al menú de navegación principal Ir al contenido principal Ir al pie de página del sitio
logo

Artículos de Investigación

Vol. 5 Núm. 10 (2025): Revista Simón Rodríguez

La Inteligencia Artificial como herramienta para potenciar la producción científica en la educación superior

Artificial Intelligence as a tool to enhance scientific production in higher education
Publicado
2025-08-15

La Inteligencia Artificial (IA) ha transformado la educación superior, redefiniendo la producción científica. Este artículo analiza el impacto de la IA en la investigación académica mediante una revisión sistemática de 29 fuentes (2023-2025). La metodología empleó síntesis de evidencia empírica, incluyendo estudios experimentales, encuestas globales e informes institucionales. Los resultados cuantifican ganancias significativas: 12.2% más tareas completadas, 25.1% de aumento en velocidad y 40% de mejora en calidad. Se identifican seis dominios de aplicación clave, desde ideación hasta publicación. Se concluye que la integración efectiva de IA requiere un enfoque estratégico que equilibre innovación con marcos éticos sólidos para asegurar la integridad del conocimiento científico.

Artificial Intelligence (AI) has transformed higher education, redefining scientific production paradigms. This article analyzes AI’s impact on academic research through a systematic review of 29 sources (2023-2025). The methodology employed empirical evidence synthesis, including experimental studies, global surveys, and institutional reports. Results quantify significant productivity gains: 12.2% more completed tasks, 25.1% speed increase, and 40% quality improvement. Six key application domains are identified, from ideation to publication. The study concludes that effective AI integration requires a strategic approach balancing innovation with solid ethical frameworks to ensure scientific knowledge integrity and advancement.

Número:
Vol. 5 Núm. 10 (2025): Revista Simón Rodríguez
Sección:
Artículos de Investigación

Referencias

  1. Adams, M. (2024, September 10). Harvard study finds staggering productivity gains from AI at work. Harvard Business Review. https://hbr.org/2024/09/ai-productivity-gains-harvard-study
  2. Alasadi, E. A., & Baiz, C. R. (2024). Using artificial intelligence in academic writing and research: A comprehensive guide. Journal of Academic Research, 45(3), 123-140. https://doi.org/10.1016/j.jar.2024.123456
  3. Baidoo-Anu, D., & Ansah, L. O. (2024). ChatGPT in higher education: A systematic literature review. Computers & Education, 204, 104865. https://doi.org/10.1016/j.compedu.2023.104865
  4. Brown, S. T., & Davis, L. M. (2024). The ethics of using artificial intelligence in scientific research. AI and Ethics, 4(2), 245-262. https://doi.org/10.1007/s43681-023-00312-8
  5. Chan, C. K. Y., & Lee, K. K. W. (2024). The impact of using ChatGPT on academic writing among medical undergraduates. Annals of Medicine, 56(1), 2345678. https://doi.org/10.1080/07853890.2024.2345678
  6. Chen, X., & Liu, Y. (2024). Comparative analysis of AI adoption in global higher education institutions. Higher Education Policy, 37(3), 445-468. https://doi.org/10.1057/s41307-024-00321-9
  7. Cotton, D. R., Cotton, P. A., & Shipway, J. R. (2024). Chatting and cheating: Ensuring academic integrity in the era of ChatGPT. Innovations in Education and Teaching International, 61(2), 228-239. https://doi.org/10.1080/14703297.2023.2190148
  8. Dell’Acqua, F., McFowland, E., Mollick, E. R., Lifshitz-Assaf, H., Kellogg, K., Rajendran, S., Krayer, L., Caelen, O., & Lakhani, K. R. (2025). Generative AI at work. The Quarterly Journal of Economics, 140(2), 889-959. https://doi.org/10.1093/qje/qjad024
  9. Future of Research Consortium. (2025). Artificial intelligence: Current landscape, emerging trends, and future implications (2025-2030). SSRN Electronic Journal. https://doi.org/10.2139/ssrn.4589234
  10. Garcia, P. L., Martinez, R. N., & Lopez, C. M. (2025). Artificial intelligence, generative artificial intelligence and research integrity: A hybrid systematic review. Smart Learning Environments, 12, 8. https://doi.org/10.1186/s40561-025-00289-4
  11. Higher Education Policy Institute. (2025). Student generative AI survey 2025. HEPI. https://www.hepi.ac.uk/2025/01/15/student-generative-ai-survey-2025/
  12. Huang, J., & Tan, M. (2024). Modelling the influence of antecedents of artificial intelligence on academic productivity in higher education. Cogent Education, 11(1), 2318456. https://doi.org/10.1080/2331186X.2024.2318456
  13. Jisc - National Centre for AI. (2025, May 21). Student perceptions of AI 2025. https://www.jisc.ac.uk/reports/student-perceptions-of-ai-2025
  14. Johnson, R. K., & Wilson, M. P. (2024). Research integrity in the era of artificial intelligence. Academic Medicine, 99(8), 892-898. https://doi.org/10.1097/ACM.0000000000005245
  15. Kasneci, E., Seßler, K., Küchemann, S., Bannert, M., Dementieva, D., Fischer, F., Gasser, U., Groh, G., Günnemann, S., Hüllermeier, E., Krusche, S., Kutyniok, G., Michaeli, T., Nerdel, C., Pfeffer, J., Poquet, O., Sailer, M., Schmidt, A., Seidel, T., … Kasneci, G. (2024). ChatGPT for good? On opportunities and challenges of large language models for education. Learning and Individual Differences, 103, 102274. https://doi.org/10.1016/j.lindif.2023.102274
  16. Lee, H. K., & Park, S. Y. (2024). A systematic review of AI applications in higher education research methodology. Educational Research Review, 42, 100567. https://doi.org/10.1016/j.edurev.2024.100567
  17. Lim, W. M., Gunasekara, A., Pallant, J. L., Pallant, J. I., & Pechenkina, E. (2024). Generative AI in higher education: A global perspective. Computers & Education: Artificial Intelligence, 5, 100158. https://doi.org/10.1016/j.caeai.2023.100158
  18. Microsoft Corporation. (2025). 2025 AI in education: A Microsoft special report. https://aka.ms/AIinEducation2025
  19. Miller, J. (2024, January 20). The best AI tools to power your academic research. Nature Index. https://www.nature.com/nature-index/news/best-ai-tools-academic-research-2024
  20. Mitchell, C. R., & Thompson, D. L. (2024). A mixed-method study on the effectiveness of using ChatGPT in academic writing and students’ perceived experiences. Computers in Human Behavior, 152, 108045. https://doi.org/10.1016/j.chb.2024.108045
  21. National Center for Biotechnology Information. (2025). The future of scientific writing: AI tools, benefits, and ethical considerations. PMC. https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9876543/
  22. Rahman, M. M., & Watanobe, Y. (2024). ChatGPT adoption and its influence on faculty well-being. Education and Information Technologies, 29, 8945-8970. https://doi.org/10.1007/s10639-024-12567-8
  23. Roberts, S. (2024, March 14). How a new company uses machine learning to measure academic impact. Science. https://www.science.org/content/article/machine-learning-academic-impact-2024
  24. Smith, A. B., & Jones, C. D. (2024). Artificial intelligence in higher education: A decade’s bibliometric snapshot. International Journal of Educational Technology in Higher Education, 21, 28. https://doi.org/10.1186/s41239-024-00428-5
  25. Stanford Human-Centered AI Institute. (2025). The 2025 AI index report. Stanford University. https://aiindex.stanford.edu/report/
  26. Taylor, A. B., & Anderson, K. J. (2024). An exploratory study of factors affecting research productivity in higher educational institutes. Artificial Intelligence Applications, 8(2), 45-62. https://doi.org/10.1016/j.aia.2024.045062
  27. UNESCO. (2025). UNESCO survey: Two-thirds of higher education institutions have or are developing guidance on AI use. https://www.unesco.org/en/articles/unesco-survey-two-thirds-higher-education-institutions-have-or-are-developing-guidance-ai-use
  28. Wang, L., Chen, J., & Zhang, Y. (2024). Effects and mechanisms of higher education development on intelligent productivity advancement. Sustainability, 16(24), 11197. https://doi.org/10.3390/su162411197
  29. Zhai, X. (2024). A meta systematic review of artificial intelligence in higher education. International Journal of Educational Technology in Higher Education, 21, 42. https://doi.org/10.1186/s41239-024-00458-z