HIGHER EDUCATION AND THE CHALLENGES OF ARTIFICIAL INTELLIGENCE

Main Article Content

, CARLOS VOLTER BUENAÑO PESÁNTEZ, MARCO VINICIO RAMOS VALENCIA, JOSÉ EDUARDO AYALA TANDAZO

Abstract

A documentary review was carried out on the production and publication of research papers related to the study of the variables Higher Education and Artificial Intelligence.  The purpose of the bibliometric analysis proposed in this document was to know the main characteristics of the volume of publications registered in the Scopus database during the period 2018-2022, achieving the identification of 15 publications. The information provided by this platform was organized through graphs and figures categorizing the information by Year of Publication, Country of Origin, Area of Knowledge and Type of Publication. Once these characteristics have been described, the position of different authors towards the proposed theme is referenced through a qualitative analysis. Among the main findings made through this research, it is found  that China, with 4 publications, was the country with the highest scientific production registered in the name of authors affiliated with institutions in that country. The Area of Knowledge that made the greatest contribution to the construction of bibliographic material referring to Higher Education and Artificial Intelligence was  Computer Science with 8  published documents, and the Type of Publication most used during the period indicated above was the Journal Article with 8 documents of the total scientific production.

Article Details

Section
Education Law
Author Biography

, CARLOS VOLTER BUENAÑO PESÁNTEZ, MARCO VINICIO RAMOS VALENCIA, JOSÉ EDUARDO AYALA TANDAZO

1MARCO MAURICIO CHÁVEZ HARO,2CARLOS VOLTER BUENAÑO PESÁNTEZ,3MARCO VINICIO RAMOS VALENCIA, 4JOSÉ EDUARDO AYALA TANDAZO

1Escuela Superior Politécnica de Chimborazo - ESPOCH

2Escuela Superior Politécnica de Chimborazo- ESPOCH

3Escuela Superior Politécnica de Chimborazo- ESPOCH

4Doctorando en la Universidad Nacional de Piura.

 

References

Al Shehab, N. A. (2022). Under the COVID Pandemic: Is It the Springtime for Forensic Accounting Field to Blossom? En Accounting, Finance, Sustainability, Governance and Fraud (págs. 11-32). Springer.

Alblawi, A. S., & Alhamed, A. A. (2018). Big data and learning analytics in higher education: Demystifying variety, acquisition, storage, NLP and analytics. 2017 IEEE Conference on Big Data and Analytics, ICBDA 2017, (págs. 124-129). Kuching.

Al-Fadel, M., Hamad, F., & Fakhouri, H. (2022). The provision of smart service at academic libraries and associated challenges. Journal of Librarianship and Information Science.

Araya, Y., Bacon, K. L., Bagniewska, J. M., Batty, L. C., Bishop, T. R., Burns, M., . . . Fisher, A. M. (2021). Teaching and learning in ecology: a horizon scan of emerging challenges and solutions. Oikos, 15-28.

Cai, C. (2022). Training Mode of Innovative Accounting Talents in Colleges Using Artificial Intelligence. Mobile Information Systems.

Cortes, D., Molina, A., & Ramirez, J. (2020). Open innovation laboratory: Education 4.0 environments to improve competencies in scholars. Proceedings of the LACCEI international Multi-conference for Engineering, Education and Technology. Latin American and Caribbean Consortium of Engineering Institutions.

Forradellas, R. F., & Gallastegui, L. M. (2021). Business methodology for the application in university environments of predictive machine learning models based on an ethical taxonomy of the student’s digital twin. Administrative Sciences.

García-García, R. M., Lara-Prieto, V., Membrillo-Hernández, J., & Molina-Solís, E. G. (2020). Designing the Curriculum for the 4IR: Working the Case of Biology and Sustainable Development in Bioengineering Courses. Advances in Intelligent Systems and Computing, (págs. 306-315). Bangkok.

Garro-Aburto, L., Ocaña-Fernández, Y., & Valenzuela-Fernández, L. (2019). Artificial intelligence and its implications in higher education. Purposes and Representations, 536-568.

Giletta, M., Giordano, A., Mercaú, N., Orden, P., & Villareal, V. (2020). Artificial Intelligence: definitions in dispute. Social Investigates , 20-33.

Gong, X., Jing, S., Liu, X., & Zhao, H. (2022). System Dynamics-Based Analysis on Factors Influencing Artificial Intelligence Talents Training. IEEE Journal of Radio Frequency Identification, 753-757.

Gu, R., Ji, Y., Lin, B., & Xi, Z. (2022). Teacher-guided Autonomous Learning Enabled by Artificial Intelligence Empowered Remote Experiment Platform. IEEE Global Engineering Education Conference, EDUCON, (págs. 1089-1094). Tunis.

Jormanainen, I., Kahila, J., Pears, A., Tedre, M., Toivonen, T., Valtonen, T., & Vartiainen, H. (2021). Teaching machine learning in K-12 Classroom: Pedagogical and technological trajectories for artificial intelligence education. IEEE Access, 110558-110572.

Kuzmin, D. I. (2021). The Competencies of Civil Servants in the Field of Regulation of Technological Risks in the Practical Application of Artificial Intelligence. Lecture Notes in Networks and Systems (págs. 910-916). Moscow: Springer Science and Business Media Deutschland GmbH.

Martín-Ramallal, P., Merchán-Murillo, A., & Ruiz-Mondaza, M. (2022). Virtual trainers with artificial intelligence: levels of acceptance among university students. Educar, 427-442.

Pérez Rojas, J. G. (2020). Challenges of higher education institutions for their articulation in Industry 4.0. CEA Magazine, 8-11.

Treve, M. (2021). What COVID-19 has introduced into education: challenges Facing Higher Education Institutions (HEIs). Higher Education Pedagogies. , 212-227

Xiong, H. (2022). Integrated Development of Higher Vocational Characteristic Education under the Background of Artificial Intelligence. ACM International Conference Proceeding Series, (págs. 7-11). Changsha.