Challenges of education and artificial intelligence at Universidad Estatal a Distancia, Costa Rica
Retos de la educación y la inteligencia artificial en la Universidad Estatal a Distancia, Costa Rica
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Key aspects are described that relate to distance education (EaD) or remote education, in transition towards a virtual one, which necessarily requires the use of current technologies such as Artificial Intelligence (AI) and the challenges that this represents. A descriptive and explanatory methodology combined with a quantitative method is used in the application of an online survey to UNED professors, on the current challenges of the State Distance University (UNED) of Costa Rica, in relation to teaching with respect to AI. The objective is to relate the benefits of AI and EaD, which contemplates the specific challenges in the context of the university, for which a literature review of articles selected from digital databases was carried out, to compare reality in terms of education and especially, distance and virtual. Important findings were found regarding what the authors of the literature review and the key points at UNED that need to be focused in order to adapt to the new reality, such as the need for intelligent virtual tutoring, explore artificial intelligence for the delivery of teaching and monitoring of online activities, especially in the application of training activities. Finally, this is the beginning, future lines of research are based on how to apply AI to the challenges posed by distance education in transition to virtual.
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Aljarrah, A., Ababneh, M., Karagozlu, D. y Ozdamli, F. (2021). Artificial Intelligence Techniques for Distance Education: A Systematic Literature Review. TEM Jornal. 10(4), 1621-1629. Doi: 10.18421/TEM104-18 DOI: https://doi.org/10.18421/TEM104-18
Conrad, D. y Withaus, G. (2021). Editorial: Reimaging and reexamining assessment in online learning. Distance Education. 45(2), 179-183. Doi: https://doi.org/10.1080/01587919.2021.1915117 DOI: https://doi.org/10.1080/01587919.2021.1915117
Chen, Y. N., Fan, K. C, Chang, Y.L. y Moriyama, T. (2023). Editorial: Special Issue Review: Artificial Intelligence and Machine Learning Applications in Remote Sensing. Remote Sensing. 15(569), 3-10. Doi: https://doi.org/10.3390/rs15030569 DOI: https://doi.org/10.3390/rs15030569
Elavarasi, S. A. y Jayanthi, J. (2022). Role of Machine Learning and Deep Learning in Assisting the Special Children´s Learning Process. Journal of Algebraic Stadistics. 13(2), 2327-2334. https://web.p.ebscohost.com/ehost/pdfviewer/pdfviewer?vid=0&sid=9bce6327-1110-4ee0-90ba-02376ba3a070%40redis
Jeon, G. (2022). Artificial Intelligence-Based Learning Approaches for Remote Sensing. Remote Sensing. 14(5203), 2-4. Doi: https://doi.org/10.3390/rs14205203 DOI: https://doi.org/10.3390/rs14205203
Hong, X y Wang, L. (2022). Visual Resolve of Modern Educational Technology Based on Artificial Intelligence under the Digital Background. Hindawi. Computational Intelligence and Neuroscience. 1-11. Doi: https://doi.org/10.1155/2022/1924138 DOI: https://doi.org/10.1155/2022/1924138
Hwang, G. J., Tu, Y. F. y Tang, K. Y. (2022). AI in Online-Learning Research: Visualizing and Interpreting the Journal Publications from 1997 to 2019. International Review of Research in Open and Distributed Learning. 23(1), 104-129. https://web.p.ebscohost.com/ehost/pdfviewer/pdfviewer?vid=0&sid=f08d0d9a-1062-4afc-9f29-753d16a71140%40redis DOI: https://doi.org/10.19173/irrodl.v23i1.6319
Langelfeld, T. (2022). Interne- based Testing: A Solution for the New Normal. Journal of Applied Testing Technology. 23(special issue), 5-14. https://web.p.ebscohost.com/ehost/pdfviewer/pdfviewer?vid=0&sid=cf5b4ab5-f8f9-40a7-bb1e-f73f400bb10d%40redis
Liu, X. y Huang, X. (2022). Design of Artificial Intelligence-Based English Network Teaching (AI-ENT) System. Hindawi Matemathical Problems in Engineering. 1-12. Doi: https://doi.org/10.1155/2022/1849430 DOI: https://doi.org/10.1155/2022/1849430
Nongni, G. (2021). New Challenge for Initial Training of Mathematics Teachers: The planning Phased of Mathematics Distance Learning. International Review of Research in Open and Distributed Learning. 22(3), 188-204. https://web.p.ebscohost.com/ehost/pdfviewer/pdfviewer?vid=0&sid=7d691661-d592-4ef6-b7cb-c3081db0004c%40redis DOI: https://doi.org/10.19173/irrodl.v22i3.5525
Pakhomova, T., Vasilieva, P., Piddubtesava, O., Rezunova, O. y Serdiuchenko, Y. (2022). Education in Universities in the Context of Distance Education. Journal of Higher Education Theory and Practice, 22(6) 190-198. https://web.p.ebscohost.com/ehost/pdfviewer/pdfviewer?vid=0&sid=9ff7d376-509a-42a3-8bd0-eee73b59c62b%40redis
Prahani, B. K., Alfin, J., Fuad, A. Z., Saphira, H. V., Hariyono, E. y Suprapto, N. (2022). Learning Management Sistem (LMS) Research During 1991-2021: How Tecnhology Affects Education. iJET 17(17), 28-49. Doi: https://doi.org/10.3991/ijet.v17i17.30763 DOI: https://doi.org/10.3991/ijet.v17i17.30763
Sharma, R. C., Kawachi, P. y Bozkurt, A. (2019). The Landscape of Artifitial Intelligence in Open, Online and Distance Education: Promises and Concerns. Asian Journal of Distance Education. 14(2). https://web.p.ebscohost.com/ehost/pdfviewer/pdfviewer?vid=0&sid=077652ad-6f8b-48a3-8df6-a73ffa72309c%40redis
Surianarayanan, C., Lawrence, J. J., Chelliah, P. R., Prakash, E. y Hewage, C. (2023). A Survey and Optimization Techniques for Edge Artificial Intelligence (AI). Sensors. 23(3), 1-33. Doi: https://doi.org/10.3390/s23031279 DOI: https://doi.org/10.3390/s23031279
Sushama, C., Arulprakash, P., Sunil, M., Ganesh, D. y Sujatha, K. (2022). The Future of Education: Artificial Intelligence based Remote Learning. International Journal of Early Childhood Special Education (INT-JECSE), 14(3), 3.827-3.831. https://web.p.ebscohost.com/ehost/pdfviewer/pdfviewer?vid=0&sid=41ddb751-03b6-4de5-8ce2-ee4e3731ea00%40redis
Tamayo, P. A, Herrero, A., Martín, J., Navarro, C y Tránchez, J.M. (2020). Design of a chatbot as a distance learning assistant. Open Praxis. 12(1), 145-153. Doi: https://doi.org/10.5944/openpraxis.12.1.1063 DOI: https://doi.org/10.5944/openpraxis.12.1.1063
Todino, M. D., De Simone, G. y Kidiamboko, S. (2022). Mobile Learning and Artificial Intelligence to improve teaching-learning process in ICT global market age. Studi sulla Formazione, 25(1), p. 233-249. https://web.p.ebscohost.com/ehost/pdfviewer/pdfviewer?vid=0&sid=efb4fdde-85a8-4989-a1cd-485a4f344f5b%40redis
Troussas, C. y Sgouropoulou, C. (2020). Innovative Trends in Personallized Software Engineering and Information System: The case of Intelligence and Adaptive E-learning Systems. Amsterdam and Clifton: IOS Press, Inc.
Wang, Y. (2021). Physical Education Teaching in Colleges and Universities Assisted by Virtual Reality Technology Base on Artificial Intelligence. Hindawi: Mathematical Problems in Engineering. 1-11. Doi: https://doi.org/10.1155/2021/5582716 DOI: https://doi.org/10.1155/2021/5582716
Yang. T. y Zeng, Q. (2022). Study on the Design and Optimization of Learning Environment Based on Artificial Intelligence and Virtual Reality Technology. Hindawi. Computational Intelligence and Neuroscience. 1-9. Doi: https://doi.org/10.1155/2022/8259909 DOI: https://doi.org/10.1155/2022/8259909
Zhang, Y. (2022). Influence of Teacher-Student Interaction on Course Learning Effect in Distance Education. iJET, 17(10). Doi: https://doi.org/10.3991/ijet.v17i10.30913 DOI: https://doi.org/10.3991/ijet.v17i10.30913
