Impacto da perceção universitária sobre a aprendizagem e o uso da inteligência artificial

Autores

DOI:

https://doi.org/10.31948/ru.v44i1.4788

Palavras-chave:

percepção, universidade tecnológica, aprendizagem, inteligência artificial

Resumo

Inteligência artificial coloca desafios aos estudantes do ensino superior no que se refere à integração de tecnologias capazes de assegurar a qualidade do processo de ensino e aprendizagem. O objetivo do estudo foi analisar o impacto da percepção dos estudantes universitários sobre a aprendizagem e o uso da IA na Universidad Tecnológica del Suroeste de Guanajuato (UTSOE), México. O método foi quantitativo, descritivo e correlacional; a amostra foi composta por 216 estudantes. A recolha de dados foi realizada por meio de uma pesquisa online de 37 itens com escala Likert. A análise estatística incluiu uma regressão linear múltipla. Os resultados mostraram uma correlação positiva e significativa (R² = 0,617). A relação entre as variáveis Percepção Universitária e Aprendizagem em IA foi de r = 0,711; entre Percepção Universitária e Ferramentas de IA, de r = 0,741, e entre Percepção Universitária e Tecnologia em IA, de r = 0,695. Neste contexto, a IA é um tema inovador para estudantes universitários no México e em outros países. Isso aponta para a necessidade de as instituições de ensino superior redesenharem os seus planos curriculares e adaptá-los a novos programas educacionais, a fim de responder às exigências atuais da educação.

Biografia do Autor

Lidia Ramírez Lemus, Universidad Tecnológica del Suroeste de Guanajuato

Profesora, Universidad Tecnológica del Suroeste de Guanajuato

Carlos Alberto Rodríguez Rodríguez, Universidad Politécnica de Guanajuato

Profesor, Universidad Politécnica de Guanajuato

Referências

Alkhaqani, A. (2023). ChatGPT and academic integrity in nursing and health sciences education. Journal of Medical Research and Reviews, 1(2), 57-60. https://doi.org/10.5455/JMRR.20230624044947 DOI: https://doi.org/10.5455/JMRR.20230624044947

Ayuso-del Puerto, D. y Gutiérrez-Esteban, P. (2022). La inteligencia artificial como recurso educativo durante la formación inicial del profesorado. RIED. Revista Iberoamericana de Educación a Distancia, 25(2), 347-362. https://doi.org/10.5944/ried.25.2.32332 DOI: https://doi.org/10.5944/ried.25.2.32332

Batane, T., & Ngwako, A. (2017). Technology use by pre-service teachers during teaching practice: Are new teachers embracing technology right away in their first teaching experience? Australasian Journal of Educational Technology, 33(1), 48-61. https://doi.org/10.14742/ajet.2299 DOI: https://doi.org/10.14742/ajet.2299

Blázquez-Jiménez, C. y Sanchis, J. R. (2023). La coopetencia interempresarial. Descripción teórica y aplicación a sectores tecnológicos. Retos, 13(26), 325-340. https://doi.org/10.17163/ret.n26.2023.09 DOI: https://doi.org/10.17163/ret.n26.2023.09

Carrión, W., Bravo, V., Yánez, M. y Beltrán, C. (2022). Aplicaciones de la Inteligencia Artificial en la Preservación de la Originalidad y la Integridad Académica en estudiantes Universitarios. Journal of Science and Research, 7(2), 179-200. https://doi.org/10.5281/zenodo.8239966

Cela-Ranilla, J. M., Esteve González, V., Esteve Mon, F., González Martínez, J. y Gisbert-Cervera, M. (2017). El docente en la sociedad digital: una propuesta basada en la pedagogía transformativa y en la tecnología avanzada. Profesorado, Revista de Currículum y Formación del Profesorado, 21(1), 403-422. https://doi.org/10.30827/profesorado.v21i1.10371 DOI: https://doi.org/10.30827/profesorado.v21i1.10371

Cosoy, N. (2017, 29 de enero). Adivina quién escribió esto, un robot o un periodista. BBC NEWS Mundo. https://www.bbc.com/mundo/noticias-38740312

De Freitas, S., De Freitas, E., & Winkler, I. (2021). Inteligência artificial e virtualização em ambientes virtuais de ensino e aprendizagem: desafios e perspectivas tecnológicas. ETD-Educacao Témática Digital, 23(1), 2-19. https://doi.org/10.20396/etd.v23i1.8656150 DOI: https://doi.org/10.20396/etd.v23i1.8656150

Forero-Corba, W. y Negre, F. (2024). Técnicas y aplicaciones del Machine Learning e Inteligencia Artificial en educación: una revisión sistemática. RIED-Revista Iberoamericana de Educación a Distancia, 27(1), 209-253. https://doi.org/10.5944/ried.27.1.37491 DOI: https://doi.org/10.5944/ried.27.1.37491

Gallent-Torres, C., Zapata-González, A. y Ortego-Hernando, J. (2023). El impacto de la inteligencia artificial generativa en educación superior: una mirada desde la ética y la integridad académica. RELIEVE, 29(2), art. M5. https://doi.org/10.30827/relieve.v29i2.29134 DOI: https://doi.org/10.30827/relieve.v29i2.29134

García-Cuevas, J. P., Alor-Dávila, L. B. y Cisneros-Del Toro, Y. G. (2023). Percepción de los tutores virtuales sobre el impacto de la inteligencia artificial en la educación universitaria. Company Games & Business Simulation Academic Journal, 3(1), 49-58. https://www.uajournals.com/businesssimulationjournal/es/revistaes/numeros-anteriores.html?id=142

García-Peñalvo, F., LLorens- Largo, F. y Vidal, J. (2024). La nueva realidad de la educación ante los avances de la inteligencia artificial generativa. RIED-Revista Iberoamericana de Educación a Distancia, 27(1), 9-39. https://doi.org/10.5944/ried.27.1.37716 DOI: https://doi.org/10.5944/ried.27.1.37716

Guzmán-Simón, F., García-Jiménez, E., & López-Cobo, I. (2017). Undergraduate students' perspectives on digital competence and academic literacy in a Spanish University. Computers in Human Behavior, 74, 196-204. https://doi.org/10.1016/j.chb.2017.04.040 DOI: https://doi.org/10.1016/j.chb.2017.04.040

Hernández, R., Fernández, C. y Baptista, P. (2006). Metodología de la investigación (4.a ed.). McGraw Hill.

Idroes, G. M., Noviandy, T. R., Maulana, A., Irvanizam, I., Jalil, Z., Lensoni, L., Lala, A., Abas, A. H., Tallei, T. E., & Idroes, R. (2023). Student Perspectives on the Role of Artificial Intelligence in Education: A Survey-Based Analysis. Journal of Educational Management and Learning, 1(1), 8-15. https://doi.org/10.60084/jeml.v1i1.58 DOI: https://doi.org/10.60084/jeml.v1i1.58

Instefjord, E. J., & Munthe, E. (2017). Educating digitally competent teachers: A study of integration of professional digital competence in teacher education. Teaching and Teacher Education, 67, 37-45. https://doi.org/10.1016/j.tate.2017.05.016 DOI: https://doi.org/10.1016/j.tate.2017.05.016

Jara, I. y Ochoa, J. (2020). Usos y efectos de la inteligencia artificial en educación [Documento para discusión n.o IDB-DP-00776]. BID Banco Interamericano de Desarrollo. https://doi.org/10.18235/0002380 DOI: https://doi.org/10.18235/0002380

Kaur, D., Uslu, S., Durresi, A. (2021). Requirements for Trustworthy Artificial Intelligence - A Review. In L. Barolli, K. Li, T. Enokido, M. Takizawa, M. (Eds.), Advances in Networked-Based Information Systems. NBiS 2020. Advances in Intelligent Systems and Computing (pp. 105-115; Vol 1264). Springer. https://doi.org/10.1007/978-3-030-57811-4_11 DOI: https://doi.org/10.1007/978-3-030-57811-4_11

King, M. (2023). A Conversation on Artificial Intelligence, Chatbots, and Plagiarism in Higher Education. Cellular and Molecular Bioengineering, 16(1), 1-2. https://doi.org/10.1007/s12195-022-00754-8 DOI: https://doi.org/10.1007/s12195-022-00754-8

Kirov, V., & Malamin, B. (2022). ¿Are Translators Afraid of Artificial Intelligence? Societies, 12(2), 2-14. https://doi.org/10.3390/soc12020070 DOI: https://doi.org/10.3390/soc12020070

López Estupiñán, A. y Peña Mesa, L. (2023). Inteligencia artificial: el futuro del empleo. Revista Lecciones Vitales, (1), lv0103. https://doi.org/10.18046/rlv.2023.6118 DOI: https://doi.org/10.18046/rlv.2023.6118

López-Chila, R., Llerena-Izquierdo, J., Sumba-Nacipucha, N., & Cueva-Estrada, J. (2024). Artificial Intelligence in Higher Education: An Analysis of Existing Bibliometrics. Education Sciences, 14(1), 47. https://doi.org/10.3390/educsci14010047 DOI: https://doi.org/10.3390/educsci14010047

Luckin, R., & Holmes, W. (2016). Intelligence Unleashed An argument for Al in Education. Pearson. https://discovery.ucl.ac.uk/id/eprint/1475756/

Ma, W., Adesope, O. O., Nesbit, J. C., & Liu, Q. (2014). Intelligent tutoring systems and learning outcomes: A meta-analysis. Journal of Educational Psychology, 106(4), 901-918. https://doi.org/10.1037/a0037123 DOI: https://doi.org/10.1037/a0037123

Martín Marchante, B. (2022). TIC e inteligencia artificial en la revisión del proceso de escritura: su uso en las universidades públicas valencianas. Research in Education and Learning Innovation Archivies, 28, 16-31. https://doi.org/10.7203/realia.28.20622 DOI: https://doi.org/10.7203/realia.28.20622

Martínez-Yepes, R. (2024). Artificial intelligence, racialization, and art resistance. Cuadernos de Música, Artes Visuales y Artes Escénicas, 19(1), 222-235. https://doi.org/10.11144/javeriana.mavae19-1.aira DOI: https://doi.org/10.11144/javeriana.mavae19-1.aira

Mendizábal Bermúdez, G. y Escalante Ferrer, A. E. (2021). El reto de la educación 4.0: competencias laborales para el trabajo emergente por la COVID-19. RICSH Revista Iberoamericana de las Ciencias Sociales y Humanísticas, 10(19), 261-283. https://doi.org/10.23913/ricsh.v10i19.242 DOI: https://doi.org/10.23913/ricsh.v10i19.242

Miño-Puigcercós, R., Domingo-Coscollola, M., & Sancho-Gil, J. M. (2019). Transforming the teaching and learning culture in higher education from a diy perspective. Educacion XX1, 22(1), 139-160. https://doi.org/10.5944/educxx1.20057 DOI: https://doi.org/10.5944/educxx1.20057

Nazari, N., Shabbir, M., & Setiawan, R. (2021). Application of Artificial Intelligence powered digital writing assistant in higher education: randomized controlled trial. Heliyon, 7(5), e07014. https://doi.org/10.1016/j.heliyon.2021.e07014 DOI: https://doi.org/10.1016/j.heliyon.2021.e07014

Organisation for Economic Co-operation and Development OECD. (2018). "AI: Intelligent machines, smart policies: Conference summary", OECD Digital Economy Papers, No. 270, OECD Publishing. https://doi.org/10.1787/f1a650d9-en DOI: https://doi.org/10.1787/f1a650d9-en

Ouyang, F., Wu, M., Zheng, L., Zhang, L., & Jiao, P. (2023). Integration of artificial intelligence performance prediction and learning analytics to improve student learning in online engineering course. International Journal of Educational Technology in Higher Education, 20(4), 1-23. https://doi.org/10.1186/s41239-022-00372-4 DOI: https://doi.org/10.1186/s41239-022-00372-4

Ríos Hernández, I. N., Mateus, J. C., Rivera Rogel, D. y Ávila Meléndez, L. R. (2024). Percepciones de estudiantes latinoamericanos sobre el uso de la inteligencia artificial en la educación superior. Austral Comunicación, 13(1), e01302. https://doi.org/10.26422/aucom.2024.1301.rio DOI: https://doi.org/10.26422/aucom.2024.1301.rio

Rojo-Gutiérrez, M. A. y Bonilla, D. (2020). COVID-19: la necesidad de un cambio de paradigma económico y social. CienciAmérica, 9(2), 77-88. https://doi.org/10.33210/ca.v9i2.288 DOI: https://doi.org/10.33210/ca.v9i2.288

Rouhiainen, L. (2018). Inteligencia artificial 101 cosas que debes saber hoy sobre nuestro futuro. Editorial Planeta S. A.

Sancho Gil, J. M., Ornellas, A. y Arrazola Carballo, J. (2018). La situación cambiante de la universidad en la era digital. RIED. Revista Iberoamericana de Educación a Distancia, 21(2), 31-49. https://doi.org/10.5944/ried.21.2.20673 DOI: https://doi.org/10.5944/ried.21.2.20673

Spiteri, M., & Chang Rundgren, S. N. (2017). Maltese primary teachers' digital competence: implications for continuing professional development. European Journal of Teacher Education, 40(4), 521-534. https://doi.org/10.1080/02619768.2017.1342242 DOI: https://doi.org/10.1080/02619768.2017.1342242

Suárez Rodríguez, J. M., Almerich, G., Gargallo López, B.y Aliaga, F. M. (2013). Las competencias del profesorado en TIC: estructura básica. Educación XX1, 16(1), 39-62. https://doi.org/10.5944/educxx1.16.1.716 DOI: https://doi.org/10.5944/educxx1.16.1.716

Tondeur, J., Scherer, R., Siddiq, F., & Baran, E. (2017). A comprehensive investigation of TPACK within pre-service teachers' ICT profiles: ¡Mind the gap! Australasian Journal of Educational Technology, 33(3), 46-60. https://doi.org/10.14742/ajet.3504 DOI: https://doi.org/10.14742/ajet.3504

Torres-Cruz, F. y Yucra-Mamani, Y. (2022). Técnicas de inteligencia artificial en la valoración de la enseñanza virtual por estudiantes de nivel universitario. HUMAN REVIEW. International Humanities Review / Revista Internacional de Humanidades, 11(4), 1-11. https://doi.org/10.37819/revhuman.v11i4.943 DOI: https://doi.org/10.37819/humanrev.v11i4.943

Tuomi, I. (2018). The Impact of Artificial Intelligence on Learning, Teaching, and Education. European Union. https://doi.org/10.2760/12297

Wang, P., Tchounikine, P., & Quignard, M. (2017). Chao: a framework for the development of orchestration technologies for technology-enhanced learning activities using tablets in classrooms. International Journal of Technology Enhanced Learning, 10(1-2), 1-21. https://doi.org/10.1504/IJTEL.2018.088329 DOI: https://doi.org/10.1504/IJTEL.2018.088329

Wang, T., & Keung, E. (2021). An investigation of barriers to Hong Kong K-12 schools incorporating Artificial Intelligence in education. Computers and Education: Artificial Intelligence, 2, 100031. https://doi.org/10.1016/j.caeai.2021.100031 DOI: https://doi.org/10.1016/j.caeai.2021.100031

Weber, N. (2019). Adaptive Learning: Understanding Its Progress and Potential. In EDUCAUSE Horizon Report 2019: Higher Education Edition (pp. 34-35). Educause.

Zafari, M., Sadeghi-Niaraki, A., Choi, S.-M., & Esmaeily, A. (2021). A practical model for the evaluation of high school student performance based on machine learning. Applied Sciences (Switzerland), 11(23), 11534. https://doi.org/10.3390/app112311534 DOI: https://doi.org/10.3390/app112311534

Zaidi, A., Beadle, S., & Hannah, A. (2018). Review of the online learning and artificial intelligence education market. https://dera.ioe.ac.uk/33536/1/DFR_Online_learning_and_AIEd_market_review.pdf

Zamora Varela, Y. y Mendoza Encinas, M. del C. (2023). La inteligencia artificial y el futuro de la educación superior: desafíos y oportunidades. Horizontes Pedagógicos, 25(1), 1-13. https://doi.org/10.33881/0123-8264.hop.25101 DOI: https://doi.org/10.33881/0123-8264.hop.25101

Como Citar

Ramírez Lemus, L., & Rodríguez Rodríguez, C. A. (2026). Impacto da perceção universitária sobre a aprendizagem e o uso da inteligência artificial . Revista UNIMAR, 44(1), e4788. https://doi.org/10.31948/ru.v44i1.4788

Downloads

Não há dados estatísticos.

Publicado

2026-01-14

Edição

Seção

Artículos resultado de investigación

Métricas

Métricas do artigo
Vistas abstratas
Visualizações da cozinha
Visualizações de PDF
Visualizações em HTML
Outras visualizações
Escanea para compartir
QR Code

Alguns itens similares: