Conocimiento, Actitud y Percepción de los Estudiantes sobre el Uso de ChatGPT en la Universidad de Ibadan, Nigeria
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ChatGPT ha adquirido una audiencia global debido a su amplia integración en las prácticas educativas y el rápido avance de la tecnología, particularmente en la innovadora herramienta de inteligencia artificial. Este estudio tiene como objetivo proporcionar información valiosa sobre la integración de las tecnologías de IA en la educación superior. El estudio utilizó un enfoque de método mixto guiado por la teoría del constructivismo social. A través del muestreo de múltiples etapas, se seleccionaron 402 estudiantes para el análisis cuantitativo, mientras que los conocimientos cualitativos se recopilaron a través de diez (10) entrevistas en profundidad con los académicos de la Universidad. Los datos cuantitativos se analizaron utilizando estadísticas descriptivas y la prueba T de muestra independiente en IBM-SPSS versión 23. Los datos cualitativos se sometieron a análisis temático y de contenido. Los hallazgos del estudio indican un alto nivel de conocimiento entre los estudiantes sobre ChatGPT, y la mayoría obtuvo conocimiento sobre la herramienta a partir de recomendaciones de amigos y colegas. A pesar de su alto nivel de conocimiento entre los estudiantes, el estudio encontró que algunos académicos informaron una falta de familiaridad con ChatGPT.
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Abdaljaleel, M., Barakat, M., Alsanafi, M., Salim, N. A., Abazid, H., Malaeb, D., ... & Sallam, M. (2023). Factors influencing attitudes of university students towards ChatGPT and its usage: a multi-national study validating the TAME-ChatGPT survey instrument.
Google Scholar CrossrefAbejide, O. J. (2023). Diagnosis of pleural mesothelioma using machine learning (Doctoral dissertation, Laurentian University Library & Archives). Diagnosis of pleural mesothelioma using machine learning
Google Scholar CrossrefAdebayo, A., Oluwaseun, B., Gboyega, A. & Ebenezer, B. (2021). University Students’ Awareness of Access to and Use of Artificial Intelligence for Learning in Kwara State. Indonesian Journal of Teaching in Science 1(2):91-104. https://ejournal.upi.edu/index.php/IJoTis/article/view/38014.
Google Scholar CrossrefAdetayo, A. J. (2021). Leveraging bring your own device for the mobility of library reference services: The Nigerian perspective. The Reference Librarian, 62(2), 106-125.
Google Scholar CrossrefAnderson, J. & Rainie, L. (2018). Artificial Intelligence and the Future of Humans. Pew Research Centre: Internet, Science & Tech.
Google Scholar CrossrefAjlouni, A. O., Almahaireh, A. S. & Wahba, F.A. (2023). Students’ Perception of Using ChatGPT in Counseling and Mental Health Education: The Benefits and
Google Scholar CrossrefChallenges. International Journal of Emerging Technologies in Learning (iJET), 18(20), pp. 199–218. https://doi.org/10.3991/ijet.v18i20.42075.
Google Scholar CrossrefAlburger, J. (2018). Rule-based chatbots vs. AI chatbots: Key differences. Hubtype. https://www.hubtype.com/blog/rule-based-chatbots-vs-ai-chatbots. BML Munjal University (2023). A Hero Group Initiative.
Google Scholar CrossrefAkgun, S., & Greenhow, C. (2022). Artificial intelligence in education: Addressing ethical challenges in K-12 settings. AI and Ethics, 2(3), 431–440.
Google Scholar CrossrefBaker, M. A. (2021). Educational distancing: A mixed-methods study of student perceptions in the time of coronavirus. Journal of Hospitality & Tourism Education, 33(3), 207–221.
Google Scholar CrossrefChoi, Y., Cordova, C., Hsin, P. S., Lam, H. T., & Shao, S. H. (2023). Non-invertible condensation, duality, and triality defects in 3+ 1 dimensions. Communications in Mathematical Physics, 402(1), 489–542.
Google Scholar CrossrefCreswell, J. W. (2011). Controversies in mixed methods research. The SAGE.
Google Scholar CrossrefDeng, J., & Lin, Y. (2022). The benefits and challenges of ChatGPT: An overview. Frontiers in Computing and Intelligent Systems, 2(2), 81-83. 2911cbc3bc24e43a910477a90363225bed95.pdf
Google Scholar CrossrefDhawan, S., Singh, K., & Batra, A. (2021). Defining and Evaluating Network. Recent Innovations in Computing: Proceedings of ICRIC 2020, 701, 151.
Google Scholar CrossrefEl Khodr, M., Gide, E., Wu, M., & Darwish, O. (2023). ICT students’ perceptions towards ChatGPT: An experimental, reflective lab analysis.
Google Scholar CrossrefFarrokhnia, M., Banihashem, S. K., Noroozi, O., & Wals, A. (2024). A SWOT analysis of ChatGPT: Implications for educational practice and research. Innovations in education and teaching international, 61(3), 460–474.
Google Scholar CrossrefHaggart, B. (2023). ChatGPT strikes at the heart of the scientific worldview. Centre for International Governance Innovation.
Google Scholar CrossrefIbrahim, H., Liu, F., Asim, R., Battu, B., Benabderrahmane, S., Alhafni, B., ... & Zaki, Y. (2023). Perception, performance, and detectability of conversational artificial intelligence across 32 university courses. Scientific Reports, 13(1), 12187.
Google Scholar CrossrefJavaid, M., Haleem, A., Singh, R. P., & Suman, R. (2022). Artificial intelligence applications for industry 4.0: A literature-based study. Journal of Industrial Integration and Management, 7(01), 83–111.
Google Scholar CrossrefKasneci, E., Seßler, K., Küchemann, S., Bannert, M., Dementieva, D., Fischer, F., ... & Kasneci, G. (2023). ChatGPT for good? On opportunities and challenges of large language models for education. Learning and individual differences, 103, 102274.
Google Scholar CrossrefKılınç, S. (2023). Embracing the future of distance science education: Opportunities and challenges of ChatGPT integration. Asian Journal of Distance Education 18(1). ISSN 1347-9008
Google Scholar CrossrefKhojah, R., Mohamad, M., Leitner, P., & de Oliveira Neto, F. G. (2024). Beyond code generation: An observational study of ChatGPT usage in software engineering practice. Proceedings of the ACM on Software Engineering, 1(FSE), 1819-1840.
Google Scholar CrossrefKing, M. R., & ChatGPT. (2023). A conversation on artificial intelligence, chatbots, and plagiarism in higher education. Cellular and molecular bioengineering, 16(1), 1-2.
Google Scholar CrossrefKrittanawong, C., Zhang, H., Wang, Z., Aydar, M. & Kitai, T. (2017). Artificial intelligence in precision cardiovascular medicine. Journal of the American College of Cardiology, pp. 69, 2657–2664. https://doi.org/10.1016/j.jacc.2017.03.571.
Google Scholar CrossrefLodge, J. M., de Barba, P., & Broadbent, J. (2023). Learning with generative artificial intelligence within a network of co-regulation. Journal of University Teaching and Learning Practice, 20(7), 1–10.
Google Scholar CrossrefMasters, K. (2023). Ethical use of artificial intelligence in health professions education: AMEE Guide No. 158. Medical Teacher, 45(6), 574–584.
Google Scholar CrossrefMascolo, M. F., Fischer, K. W., & Fischer, K. W. (2005). Constructivist theories. Cambridge encyclopedia of child development, 49-63.
Google Scholar CrossrefMatthew, U. O., Oyekunle, D. O., Akpan, E. E., Oladipupo, M. A., Chukwuebuka, E. S., Adekunle, T. S., ... & Onumaku, V. C. (2024). Generative Artificial Intelligence (AI) on Sustainable Development Goal 4 for Tertiary Education: Conversational AI With User-Centric ChatGPT-4. In Impacts of Generative AI on Creativity in Higher Education (pp. 259–288). IGI Global.
Google Scholar CrossrefMemarian, B., & Doleck, T. (2023). ChatGPT in education: Methods, potentials, and limitations. Computers in Human Behavior: Artificial Humans, 1(2), 100022.
Google Scholar CrossrefMichel, G. F. & Rochat, P. (Eds.). Cambridge encyclopedia of child development. Cambridge, U.K.: Cambridge University Press. https://www.academia.edu/8906476/Constructivist_Theories.
Google Scholar CrossrefMcCarthy, J. (1987). Generality in artificial intelligence. Communications of the ACM, 30(12), 1030–1035. Generality in artificial intelligence | Communications of the ACM
Google Scholar CrossrefMcCarthy, J., Minsky, M. L., Rochester, N. & Shannon, C. E. (1955). A Proposal for the Dartmouth Summer Research Project on Artificial Intelligence. Dartmouth College. https://doi.org/10.1609/aimag.v27i4.1904.
Google Scholar CrossrefMontenegro-Rueda, M., Fernández-Cerero, J., Fernández-Batanero, J. M., & López-Meneses, E. (2023). Impact of the implementation of ChatGPT in education: A systematic review. Computers, 12(8), 153.
Google Scholar CrossrefNikolic, S., Daniel, S., Haque, R., Belkina, M., Hassan, G. M., Grundy, S., ... & Sandison, C. (2023). ChatGPT versus engineering education assessment: a multidisciplinary and multi-institutional benchmarking and analysis of this generative artificial intelligence tool to investigate assessment integrity. European Journal of Engineering Education, 48(4), 559-614.
Google Scholar CrossrefOpenAI, & ChatGPT. (2022). ChatGPT: Optimizing language models for dialogue. https://openai.com/blog/chatgpt/.
Google Scholar CrossrefOndáš, S., Pleva, M., & Hládek, D. (2019, November). How chatbots can be involved in the education process. In 2019 17th international conference on emerging elearning technologies and applications (ICETA) (pp. 575-580). IEEE.
Google Scholar CrossrefPavlik, J. V. (2023). Collaborating with ChatGPT: Considering the implications of generative artificial intelligence for journalism and media education. Journalism & mass communication educator, 78(1), 84-93.
Google Scholar CrossrefQadir, J. (2023, May). Engineering education in the era of ChatGPT: Promise and pitfalls of generative AI for education. In 2023 IEEE Global Engineering Education Conference (EDUCON) (pp. 1-9). IEEE.
Google Scholar CrossrefRaghu, K., S, T., S Devishamani, C., Rajalakshmi, R., & Raman, R. (2023). The utility of ChatGPT in diabetic retinopathy risk assessment: a comparative study with clinical diagnosis. Clinical Ophthalmology, 4021-4031.
Google Scholar CrossrefSanders, N. R., & Wood, J. D. (2024). The Humachine: AI, Human Virtues, and the Superintelligent Enterprise. Taylor & Francis.
Google Scholar CrossrefSedaghat, S. (2023). Early applications of ChatGPT in medical practice, education and research. Clinical Medicine, 23(3), 278–279.
Google Scholar CrossrefShoufan, A. (2023). Exploring students’ perceptions of ChatGPT: Thematic analysis and follow-up survey. IEEE Access, 11, 38805–38818.
Google Scholar CrossrefSpennemann, H. R. (2023). Exhibiting the Heritage of COVID-19—A Conversation with ChatGPT, Gulbali Institute. Charles Sturt University, P.O. Box 789, Albury, NSW 2640, Australia. https://doi.org/10.3390/heritage6080302.
Google Scholar CrossrefSun, G. H., & Hoelscher, S. H. (2023). The ChatGPT storm and what faculty can do. Nurse Educator, 48(3), 119-124.
Google Scholar CrossrefSurameery, N. M. S., & Shakor, M. Y. (2023). Use chatGPT to solve programming bugs. International Journal of Information Technology and Computer Engineering, (31), 17-22.
Google Scholar CrossrefRahman, M., Harold, J., Terano, M., Nafizur, R. & Aidin, S. (2023). ChatGPT and Academic Research: A Review and Recommendations Based on Practical Examples. doi: 10.52631/jemds.v3i1.175.
Google Scholar CrossrefTancredi, L. (2023). Understanding ChatGPT: The Promise and Nuances of Large Language
Google Scholar CrossrefModels.
Google Scholar CrossrefThi, T. A. (2023). The Perception by University Students of the Use of ChatGPT in Education. DOI: https://doi.org/10.3991/ijet.v18i17.39019
Google Scholar CrossrefTiwari, C. K., Bhat, M. A., Khan, S. T., Subramaniam, R., & Khan, M. A. I. (2024). What drives students toward ChatGPT? An investigation of the factors influencing the adoption and usage of ChatGPT. Interactive Technology and Smart Education, 21(3), 333-355.
Google Scholar CrossrefTuring, A. (1936). Turing machine. Proc London Math Soc, 242, 230–265. 2001S13Week9.ppt
Google Scholar CrossrefUzunboylu, H., Prokopyev, A. I., Kashina, S. G., Makarova, E. V., Chizh, N. V. & Sakhieva, R. G. (2022). Determining the opinions of university students on the education they receive with technology during the pandemic process. International Journal of Engineering Pedagogy (iJEP), 12(2), 48–61. https://doi.org/10.3991/ijep.v12i2.29329.
Google Scholar CrossrefYigci, D., Eryilmaz, M., Yetisen, A. K., Tasoglu, S., & Ozcan, A. (2024). Large Language Model‐Based Chatbots in Higher Education. Advanced Intelligent Systems, 2400429.
Google Scholar CrossrefYu, H. (2024). The application and challenges of ChatGPT in educational transformation: New demands for teachers' roles. Heliyon, 10(2).
Google Scholar CrossrefZheng, W. (2024). AI vs. Human: A Comparative Study of Cohesion and Coherence in Academic Texts between Human-Written and ChatGPT-Generated Texts.
Google Scholar CrossrefZohery, M. (2023). Artificial Intelligence in Academia, Research and Science: ChatGPT as a Case Study. pp.10-61, Achtago Publishing. http://dx.doi.org/10.5281/zenodo.7803703
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