Artificial intelligence in education: a review of the literature in international scientific journals

Authors

DOI:

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

Keywords:

artificial intelligence, education, teaching, learning, Covid-19, technology.

Abstract

This research consists of a literary review of scientific publications in the area of Artificial Intelligence, belonging to scientific journals found in the SCImago Journal & Country Rank portal. The information search was carried out using keywords and titles of research published from 1970 to 2020 in the Scopus database. The objective of this article is to identify the contributions of AI to education over the last five decades, to present the scientific journals with the highest impact rates in the area of AI over the last 10 years and to analyse the role that AI will play in post-Covid-19 education. The results show significant contributions of the Artificial Intelligence in education using neural network techniques, big data, computer vision, virtual digital assistants, automatic learning, language processing and predictive analysis. The United States has the largest number of scientific journals (seven) dedicated to the area of AI. Finally, we highlight the need to involve AI in the teaching and learning process in a post Covid-19 education.

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References

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

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Published

2021-12-06

How to Cite

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). Artificial intelligence in education: a review of the literature in international scientific journals . Apuntes Universitarios, 12(1), 353–372. https://doi.org/10.17162/au.v12i1.974

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Vol. 12 No. 1 (2022): Revista de Investigación Apuntes Universitarios

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Copyright (c) 2021 Fernando Alain Incio Flores, Dulce Lucero Capuñay Sanchez, Ronald Omar Estela Urbina, Miguel Ángel Valles Coral, egundo Edilberto Vergara Medrano, Duberli Geomar Elera Gonzales

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