Development of virtual learning systems based on artificial intelligence: International experience
Keywords:
education, innovative learning, students, development, university.
Abstract
The aim of the article is to study and improve the use of artificial intelligence in education by analysing international experience. The main methods used were general scientific methods, documentary analysis, standard statistics, and factor analysis. The study's main results demonstrate the rapid growth in the popularity of artificial intelligence in virtual learning systems in all the countries under consideration. The article reveals a tendency to increase the demand for these technologies. The study concludes that AI has an important role in the educational process and that future research should focus on evaluating its effectiveness in training specific specialists.
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References
Alam, A. (2022). Employing adaptive learning and intelligent tutoring robots for virtual classrooms and smart campuses: Reforming education in the age of artificial intelligence. In: R. N. Shaw, S. Das, V. Piuri, & M. Bianchini (Eds.), Advanced Computing and Intelligent Technologies (pp. 395-406). Singapore: Springer Nature Singapore. https://doi.org/10.1007/978-981-19-2980-9_32
Chen, L., Chen, P., & Lin, Z. (2020). Artificial intelligence in education: A review. IEEE Access, 8, 75264-75278. https://doi.org/10.1109/ACCESS.2020.2988510
Cheung, S. K., Kwok, L. F., Phusavat, K., & Yang, H. H. (2021). Shaping the future learning environments with smart elements: Challenges and opportunities. International Journal of Educational Technology in Higher Education, 18, 1-9. https://doi.org/10.1186/s41239-021-00254-1
Duggan, S. (2020). AI in education: Change at the speed of learning. UNESCO IITE. Retrieved from https://acortar.link/avqpNf
European Commission. (2022). The Commission publishes guidelines to help teachers address misconceptions about Artificial Intelligence and promote its ethical use. Retrieved from https://ec.europa.eu/commission/presscorner/detail/en/ip_22_6338
HolonIQ. (2022). 2022 Global Education Outlook. Retrieved from https://acortar.link/N6aZiP
Kabudi, T., Pappas, I., & Olsen, D. H. (2021). AI-enabled adaptive learning systems: A systematic mapping of the literature. Computers and Education: Artificial Intelligence, 2, 100017. https://doi.org/10.1016/j.caeai.2021.100017
Mastan, I. A., Sensuse, D. I., Suryono, R. R., & Kautsarina, K. (2022). Evaluation of distance learning system (e-learning): A systematic literature review. Technoinfo Journal, 16(1), 132-137. Retrieved from https://ejurnal.teknokrat.ac.id/index.php/teknoinfo/article/view/1736
OECD. (2023). OECD Future of Education and Skills 2030. Retrieved from https://www.oecd.org/education/2030-project/
Research and Markets. (2022). Global AI in education market size, share & industry trends analysis report by component (solution and services), by application, by end-use, by deployment mode (cloud and on-premise), by technology, by regional outlook and forecast, 2022 - 2028. Retrieved from https://acortar.link/7qMsn6
Rios-Campos, C., Cánova, E. S. M., Zaquinaula, I. R. A., Zaquinaula, H. E. A., Vargas, D. J. C., Peña, W. S., Idrogo, C. E. T., & Arteaga, R. M. Y. (2023). Artificial Intelligence and education. South Florida Journal of Development, 4(2), 641-655. https://doi.org/10.46932/sfjdv4n2-001
Salas-Pilco, S. Z., & Yang, Y. (2022). Artificial intelligence applications in Latin American higher education: A systematic review. International Journal of Educational Technology in Higher Education, 19(1), 21. https://doi.org/10.1186/s41239-022-00326-w
Chen, L., Chen, P., & Lin, Z. (2020). Artificial intelligence in education: A review. IEEE Access, 8, 75264-75278. https://doi.org/10.1109/ACCESS.2020.2988510
Cheung, S. K., Kwok, L. F., Phusavat, K., & Yang, H. H. (2021). Shaping the future learning environments with smart elements: Challenges and opportunities. International Journal of Educational Technology in Higher Education, 18, 1-9. https://doi.org/10.1186/s41239-021-00254-1
Duggan, S. (2020). AI in education: Change at the speed of learning. UNESCO IITE. Retrieved from https://acortar.link/avqpNf
European Commission. (2022). The Commission publishes guidelines to help teachers address misconceptions about Artificial Intelligence and promote its ethical use. Retrieved from https://ec.europa.eu/commission/presscorner/detail/en/ip_22_6338
HolonIQ. (2022). 2022 Global Education Outlook. Retrieved from https://acortar.link/N6aZiP
Kabudi, T., Pappas, I., & Olsen, D. H. (2021). AI-enabled adaptive learning systems: A systematic mapping of the literature. Computers and Education: Artificial Intelligence, 2, 100017. https://doi.org/10.1016/j.caeai.2021.100017
Mastan, I. A., Sensuse, D. I., Suryono, R. R., & Kautsarina, K. (2022). Evaluation of distance learning system (e-learning): A systematic literature review. Technoinfo Journal, 16(1), 132-137. Retrieved from https://ejurnal.teknokrat.ac.id/index.php/teknoinfo/article/view/1736
OECD. (2023). OECD Future of Education and Skills 2030. Retrieved from https://www.oecd.org/education/2030-project/
Research and Markets. (2022). Global AI in education market size, share & industry trends analysis report by component (solution and services), by application, by end-use, by deployment mode (cloud and on-premise), by technology, by regional outlook and forecast, 2022 - 2028. Retrieved from https://acortar.link/7qMsn6
Rios-Campos, C., Cánova, E. S. M., Zaquinaula, I. R. A., Zaquinaula, H. E. A., Vargas, D. J. C., Peña, W. S., Idrogo, C. E. T., & Arteaga, R. M. Y. (2023). Artificial Intelligence and education. South Florida Journal of Development, 4(2), 641-655. https://doi.org/10.46932/sfjdv4n2-001
Salas-Pilco, S. Z., & Yang, Y. (2022). Artificial intelligence applications in Latin American higher education: A systematic review. International Journal of Educational Technology in Higher Education, 19(1), 21. https://doi.org/10.1186/s41239-022-00326-w
Published
2024-01-30
How to Cite
Polián, P., Kopotun, I., & Polián, P. (2024). Development of virtual learning systems based on artificial intelligence: International experience. Amazonia Investiga, 13(73), 9-13. https://doi.org/10.34069/AI/2024.73.01.1
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Articles
Copyright (c) 2024 Amazonia Investiga
This work is licensed under a Creative Commons Attribution 4.0 International License.
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