Inteligencia artificial en educación: una revisión de la literatura en revistas científicas internacionales

Autores/as

DOI:

https://doi.org/10.17162/au.v12i1.974

Palabras clave:

inteligencia artificial, educación, enseñanza, aprendizaje, Covid-19, tecnología

Resumen

Esta investigación consiste en una revisión literaria de publicaciones científicas en el área de la inteligencia artificial (IA), pertenecientes a revistas científicas encontradas en el portal SCImago Journal & Country Rank. La búsqueda de información se realizó utilizando palabras clave y títulos de investigaciones publicadas entre los años 1970 y 2020 en la base de datos de Scopus. El objetivo de este artículo es identificar los aportes de la IA en la educación en las últimas cinco décadas, dara conocer las revistas científicas con los índices de impacto más altos en el área de la IA en los últimos 10 años, y analizar el papel que desempeñará la IA en la educación post Covid-19. Los resultados evidencian aportes significativos de la IA en la educación, empleando técnicas de redes neuronales, big data, visión por computador, asistentes digitales virtuales, aprendizaje automático y análisis predictivo, siendo Estados Unidos el país que posee el mayor número de revistas científicas (siete) dedicadas al área de la IA. Finalmente, destacamos la necesidad de involucrar la IA en el proceso de enseñanza y aprendizaje en una educación post Covid-19.

Descargas

Los datos de descargas todavía no están disponibles.

Citas

Amershi, S., Arksey, N., Carenini, G., Conati, C., Mackworth, A., Maclaren, H., y Poole, D. (2005). Designing CIspace: Pedagogy and usability in a learning environment for AI. Proceedings of the 10th Annual SIGCSE Conference on Innovation and Technology in Computer Science Education - ITiCSE ’05, 178. Capacrica, Portugal: ACM Press. https://doi.org/10.1145/1067445.1067495

Aranda-Corral, G. A., Calmet, J., y Martín-Mateos, F. J. (Eds.). (2014). Artificial Intelligence and Symbolic Computation. Cham: Springer International Publishing. https://doi.org/10.1007/978-3-319-13770-4

Arevalillo-Herráez, M., Moreno-Picot, S., y Cavero-Millán, V. (2011). A computer architecture to use AIBO robots to teach Artificial Intelligence. Revista Iberoamericana de Tecnologias del Aprendizaje, 6(1), 1-9. http://rita.det.uvigo.es/index.php?content=Num_Pub&idiom=Es&visualiza=1&volumen=6&numero=1&orden=desc

Benítez-Restrepo, M. (2020). Cultura académica y enseñanza-aprendizaje en educación superior. Revisión de literatura. Magis, Revista Internacional de Investigación en Educación, 13, 1-23. https://doi.org/10.11144/Javeriana.m13.caea

Benkovič, J., Bohanec, M., Rajkovič, V., y Vrtačnik, M. (1997). Knowledge-Based Evaluation of Higher Education Institutions. 6th IFAC Symposium on Automated Systems Based on Human Skill 1997 (Joint Design of Technology and Organisation), Kranjska gora, Slovenia, 17-19 September, 30(24), 157-160. https://doi.org/10.1016/S1474-6670(17)42247-6

Boden, M. A. (1984). Impacts of artificial intelligence. Futures, 16(1), 60-70. https://doi.org/10.1016/0016-3287(84)90007-7

Booth, A., Sutton, A., y Papaioannou, D. (2021). Systematic Approaches to a Successful Literature Review (2nd ed.). Reino Unido: The University of Sheffield. https://us.sagepub.com/en-us/nam/systematic-approaches-to-a-successful-literature-review/book244586

Brazdil, P., y Jorge, A. (Eds.). (2001). Progress in Artificial Intelligence: Knowledge Extraction, Multi-agent Systems,Logic Programming, and Constraint Solving. Berlin, Heidelberg: Springer Berlin Heidelberg. https://doi.org/10.1007/3-540-45329-6

Brown, J. S., y Burton, R. R. (1978). A paradigmatic example of an artificially intelligent instructional system. International Journal of Man-Machine Studies, 10 (3), 323-339. https://doi.org/10.1016/S0020-7373(78)80050-9

Brusilovsky, P., y Peylo, C. (2003). Adaptive and intelligent web-based educational systems. International Journal of Artificial Intelligence in Education, 13 (2-4), 159-172. https://iaied.org/journal/960

Caspar, P. (1990). Investing in intelligence? Futures, 22 (7), 710-729. https://doi.org/10.1016/0016-3287(90)90028-G

Castrillón, O. D., Sarache, W., y Ruiz-Herrera, S. (2020). Prediction of academic performance using artificial intelligence techniques. Formacion Universitaria, 13 (1), 93-102. https://doi.org/10.4067/S0718-50062020000100093

Cerda, G., Pérez, C., Elipe, P., Casas, J. A., y Del Rey, R. (2019). Convivencia escolar y su relación con el rendimiento académico en alumnado de Educación Primaria. Revista de Psicodidáctica, 24 (1), 46-52. https://doi.org/10.1016/j.psicod.2018.05.001

Chacón-Vargas, É., y Roldán-Villalobos, G. (2021). Factors affecting the academic performance of freshmen in the ITCR general mathematics course. Uniciencia, 35 (1). https://doi.org/10.15359/RU.35-1.16

Chandrasekaran, B. (1975). Artificial Intelligence: The Past Decade. En M. Rubinoff y M. C. Yovits (Eds.), Advances in Computers (Vol. 13, pp. 169-232). https://doi.org/10.1016/S0065-2458(08)60658-0

Coldwell, D. (1995). Artificial intelligence and mute autistic children. Journal of Microcomputer Applications, 18 (4), 305-311. https://doi.org/10.1016/S0745-7138(05)80029-6

Cukurova, M., Kent, C., y Luckin, R. (2019). Artificial intelligence and multimodal data in the service of human decision-making: A case study in debate tutoring. British Journal of Educational Technology, 50 (6), 3032-3046. https://doi.org/10.1111/bjet.12829

Cukurova, M., Luckin, R., y Clark-Wilson, A. (2019). Creating the golden triangle of evidence-informed education technology with EDUCATE. British Journal of Educational Technology, 50 (2), 490-504. https://doi.org/10.1111/bjet.12727

Cukurova, M., Luckin, R., y Kent, C. (2020). Impact of an Artificial Intelligence Research Frame on the Perceived Credibility of Educational Research Evidence. International Journal of Artificial Intelligence in Education, 30 (2), 205-235. https://doi.org/10.1007/s40593-019-00188-w

Gable, A., y Page, C. V. (1980). The use of Artificial Intelligence techniques in Computer-Assisted Instruction: An overview. International Journal of Man-Machine Studies, 12 (3), 259-282. https://doi.org/10.1016/S0020-7373(80)80028-9

Garrido, A. (2010). Mathematics and Artificial Intelligence, two branches of the same tree. Innovation and Creativity in Education, 2 (2), 1133-1136. https://doi.org/10.1016/j.sbspro.2010.03.160

Goldstein, I., y Papert, S. (1977). Artificial intelligence, language, and the study of knowledge. Cognitive Science, 1 (1), 84-123. https://doi.org/10.1016/S0364-0213(77)80006-2

González-García, N., Sánchez-García, A. B., Nieto-Librero, A. B., y Galindo-Villardón, M. P. (2019). Actitud y enfoques de aprendizaje en el estudio de la Didáctica General. Una visión multivariante. Revista de Psicodidáctica, 24 (2), 154-162. https://doi.org/10.1016/j.psicod.2019.02.002

Guzmán–Zamora, N., y Gutiérrez–García, R. A. (2020). School motivation: Academic goals, attributional styles and academic performance in middle education students. Archivos Venezolanos de Farmacologia y Terapeutica, 39 (3), 290-295. http://www.revistaavft.com/images/revistas/2020/avft_3_2020/9_motivacion.pdf

Incio, F. A., Capuñay, D. L., Estela, R. O., Delgado, J. A., y Vergara, S. E. (2021). Diseño e implementación de una red neuronal artificial para predecir el rendimiento académico en estudiantes de Ingeniería Civil de la UNIFSLB. Revista Veritas et Scientia, 10 (1), 107-117. https://doi.org/10.47796/ves.v10i1.464

Jones, M. (1985). Applications of artificial intelligence within education. Computers & Mathematics with Applications, 11 (5), 517-526. https://doi.org/10.1016/0898-1221(85)90054-9

Kelly, A. E., Sleeman, D. H., y Gilhooly, K. J. (1993). Artificial intelligence in education: Using state space search and heuristics in mathematics instruction. International Journal of Man-Machine Studies, 38 (4), 725-746. https://doi.org/10.1006/imms.1993.1034

Lillehaug, S.-I., y Lajoie, S. P. (1998). AI in medical education: Another grand challenge for medical informatics. Artificial Intelligence in Medicine, 12 (3), 197-225. https://doi.org/10.1016/S0933-3657(97)00054-7

Luckin, R., y Cukurova, M. (2019). Designing educational technologies in the age of AI: A learning sciences-driven approach. British Journal of Educational Technology, 50 (6), 2824-2838. Scopus. https://doi.org/10.1111/bjet.12861

Matas-Terrón, A., Leiva-Olivencia, J. J., Franco-Caballero, P. D., y García-Aguilera, F. J. (2020). Validity of the «Big Data tendency in education» scale as a tool helping to reach inclusive social development. Sustainability (Switzerland), 12 (13). https://doi.org/10.3390/su12135470

Moreira, F., Ferreira, M. J., Pereira, C. S., Gomes, A. S., Collazos, C., y Escudero, D. F. (2019). ECLECTIC as a learning ecosystem for higher education disruption. Universal Access in the Information Society, 18 (3), 615-631. https://doi.org/10.1007/s10209-019-00682-x

Naughton, J. (1987). 7—Artificial intelligence and education and training. En Artificial Intelligence (pp. 77-82). Pergamon. https://doi.org/10.1016/B978-0-08-034112-5.50012-7

Pham, D. T., y Pham, P. T. N. (1999). Artificial intelligence in engineering. International Journal of Machine Tools and Manufacture, 39 (6), 937-949. https://doi.org/10.1016/S0890-6955(98)00076-5

Pinto, P. M., Fernández, Y. O., y Cabezas, N. G. (2020). Intercultural education in the process of educational humanization of college students: Influences on academic achievement. Interciencia, 45 (4), 201-208. https://www.interciencia.net/wp-content/uploads/2020/04/04_6645_E_Martinez_v45n4_8.pdf

Popenici, S. A. D., y Kerr, S. (2017). Exploring the impact of artificial intelligence on teaching and learning in higher education. Research and Practice in Technology Enhanced Learning, 12 (1). https://doi.org/10.1186/s41039-017-0062-8

Rampton, V., Mittelman, M., y Goldhahn, J. (2020). Implications of artificial intelligence for medical education. The Lancet Digital Health, 2 (3), e111-e112. https://doi.org/10.1016/S2589-7500(20)30023-6

Randolph, J. (2019). A Guide to Writing the Dissertation Literature Review. Practical Assessment, Research, and Evaluation, 14 (1). https://doi.org/10.7275/b0az-8t74

Renz, A., y Hilbig, R. (2020). Prerequisites for artificial intelligence in further education: Identification of drivers, barriers, and business models of educational technology companies. International Journal of Educational Technology in Higher Education, 17 (1). https://doi.org/10.1186/s41239-020-00193-3

Rowe, N. C. (1980). Inductive common ground tutoring. Computers & Education, 4 (3), 177-187. https://doi.org/10.1016/0360-1315(80)90030-5

Salchenberger, L. (1989). A strategy for integrating artificial intelligence technology into a graduate business curriculum. Education and Computing, 5 (3), 189-196. https://doi.org/10.1016/S0167-9287(89)80042-1

Schaufelberger, W. (1993). Low cost control education software for MS-DOS PCs. Automatica, 29 (6), 1501-1516. https://doi.org/10.1016/0005-1098(93)90013-J

Self, J. A. (1979). Student models and artificial intelligence. Computers & Education, 3 (4), 309-312. https://doi.org/10.1016/0360-1315(79)90008-3

Sharma, K., Giannakos, M., y Dillenbourg, P. (2020). Eye-tracking and artificial intelligence to enhance motivation and learning. Smart Learning Environments, 7 (1). https://doi.org/10.1186/s40561-020-00122-x

Siemer, J., y Angelides, M. C. (1998). A comprehensive method for the evaluation of complete intelligent tutoring systems. Decision Support Systems, 22 (1), 85-102. https://doi.org/10.1016/S0167-9236(97)00033-X

Smith, F. J., Sullivan, M., Collis, J., y Loughlin, S. (1997). Applying Artificial Intelligence in Physical Chemistry. En J. R. Sabin, M. C. Zerner, J. Karwowski, y M. Karelson (Eds.), Advances in Quantum Chemistry (Vol. 28, pp. 319-328). Academic Press. https://doi.org/10.1016/S0065-3276(08)60224-5

Soong, T. K., y Ho, C.-M. (2021). Artificial intelligence in medical OSCEs: Reflections and future developments. Advances in Medical Education and Practice, 12, 167-173. https://doi.org/10.2147/AMEP.S287926

Vila, E. M. S., y Penín, M. L. (2007). Introduction to special issue AI techniches applied in education. Inteligencia Artificial, 11(33), 7-12. http://journal.iberamia.org/public/ia-old/articles/522/article%20%281%29.pdf

Wang, J., y Zhan, Q. (2021). Visualization Analysis of Artificial Intelligence Technology in Higher Education Based on SSCI and SCI Journals from 2009 to 2019. International Journal of Emerging Technologies in Learning, 16 (8), 20-33. https://doi.org/10.3991/ijet.v16i08.18447

Wasson, B. (1997). Advanced educational technologies: The learning environment. Norwegian Perspectives on Computing in Complex Domains, 13 (4), 571-594. https://doi.org/10.1016/S0747-5632(97)00027-7

Zawacki-Richter, O., Marín, V. I., Bond, M., y Gouverneur, F. (2019). Systematic review of research on artificial intelligence applications in higher education – where are the educators? International Journal of Educational Technology in Higher Education, 16 (1). https://doi.org/10.1186/s41239-019-0171-0

Zhang, J. (2005). Intelligent Tutoring Systems: Research Status and Its Development in China. 2005 International Conference on Natural Language Processing and Knowledge Engineering, 683-689. Wuhan, China: IEEE. https://doi.org/10.1109/NLPKE.2005.1598823

Descargas

Publicado

2021-12-06

Cómo citar

Incio Flores, F. A., Capuñay Sanchez, D. L. ., Estela Urbina, R. O. ., Valles Coral, M. Ángel ., Vergara Medrano, S. E. ., & Elera Gonzales, D. G. . (2021). Inteligencia artificial en educación: una revisión de la literatura en revistas científicas internacionales. Apuntes Universitarios, 12(1), 353–372. https://doi.org/10.17162/au.v12i1.974