The Presence of Artificial Intelligence in the Educational Field
Keywords:
Machine intelligence, extensive data, automated learning, profound learningAbstract
Urgent transformations are required in global educational systems to meet the demands of the knowledge society. These changes must align with contemporary technologies and intangible services. We are currently in the era of Artificial Intelligence (AI), where various sectors, including transportation, healthcare, financial services, entertainment platforms, robotics, and manufacturing, heavily rely on this cutting-edge technology. The objective of this projective research with a bibliographic design is to suggest a methodology for incorporating AI into the educational sector. The theoretical framework for this research includes Tascón and Collaut (2020), Yan-Tak (2019), Dark (2018), and organizations such as ISO/IEC (2019) and UNESCO (2018). The proposed outcomes are categorized into key areas: supervision processes, university admission and retention processes, early detection of behavioral issues, and methodological strategies for the learning of individuals with disabilities. The primary conclusion drawn is that AI holds immeasurable value in the market, both presently and in the future. However, this value extends beyond mere monetary considerations and lies in its potential to optimize non-commercial processes, particularly within the educational sector. AI stands as a pivotal force in reshaping traditional educational paradigms.
References
BBC News (2018). ParkLand Shooting. BBC Mundo. December 30, 2018. [Accessed: 25-11-2019]. Available at: https://www.bbc.com/mundo/noticias-internacional-46713096
Bengio, Y. 2018. Resisting the Monopoly of Research. Artificial Intelligence, Promises and Threats. UNESCO Courier. July-September 2018, No. 3, pp. 18-20. ISSN 2220-2307.
Dark, S. 2018. Deep Learning. Editor: Independently published. U.S.A.
Elizondo, S. 2019. Inclusion and Visual Impairment: Manual for social and educational inclusion of students with total blindness and low vision through the use of ICT. Independently Published. E-books.
Fei-Fei, L. 2019. Stanford HAI 2019. Youtube. Video. April 22, 2019. [Accessed: 20-02-2020]. Available at: https://www.youtube.com/watch?v=XnhfeNDc0eI
Ganascia, J. 2018. Artificial Intelligence: Between Myth and Reality. Artificial Intelligence, Promises and Threats. UNESCO Courier. July-September 2018. No. 3, pp. 07-09. ISSN 2220-2307.
Gates, B. 1997. Interview with Bill Gates and Steve Jobs. Youtube. Video. Published on August 12, 2015. [Accessed: 15-02-2020]. Available at:
https://www.youtube.com/watch?v=uJDUMUtU4o
García, E. and San Juan, C. 2014. Practical Guide to Apps for Autism Spectrum Disorders. [Accessed: 18-11-2019]. Available at:
https://play.google.com/books/reader?id=yjBYBAAAQBAJ&hl=es&pg=GBS.PA1
Gutiérrez, A. 2018. United Nations Report on Disability and Development. United Nations (UN). December 3, 2018. [Accessed: 25-03-2020]. Available at:
https://www.un.org/development/desa/es/news/social/report-on-disability-and-development.html
Hawking, S. 2014. Stephen Hawking: "Artificial Intelligence predicts the end of the human race." BBC Mundo. December 2, 2014. [Accessed: 20-10-2019]. Available at:
Hurtado, J. 2012. Research Methodology. Fourth edition. Quirón Ediciones. Bogotá-Caracas.
ISO 9000: 2015. Quality management systems - Requirements. Fourth edition. Geneva, Switzerland.
ISO 9001:2015. Quality management systems - Requirements. Fourth edition. Geneva, Switzerland.
ISO/IEC 19796-1:2005. Information Technology - Learning, Education, and Training — Quality Management, Assurance and Metrics — Part 1: General Approach. Geneva: International Organization for Standardization (ISO).
ISO/IEC 19796-3:2009. Information Technology - Learning, Education, and Training — Quality Management, Assurance and Metrics — Part 3: General Approach. Geneva: International Organization for Standardization (ISO).
ISO/IEC. 2019. The era of Artificial Intelligence. ISO Focus. 137 (1). November-December 2019. ISSN 2310-7987.
Jiménez, L. and Carrión, J. 2019. Inclusive Education: Opening doors to the future. Editorial: University of Almería. E-books.
Jones, H. 2018. Deep Learning: For beginners who want to understand how Deep Neural Networks work and how they relate to Machine Learning and AI. Independently Published. E-books: Kindle.
Loble, L. 2018. Learning to Live in the AI era. Artificial Intelligence, Promises and Threats. UNESCO Courier. July-September 2018. No. 3, pp. 34-36. ISSN 2220-2307.
Marciniak, R., & Gairín, J. 2018. Dimensions of quality assessment in virtual education: Review of reference models. Ibero-American Journal of Distance Education. (2018), 21(1), pp. 217-238. DOI: http://dx.doi.org/10.5944/ried.21.1.16182 .
Monleon, T. (Coord.); Vega, E.; Reverter, F. 2017. Big Data: Towards the fourth industrial revolution. Editions of the University of Barcelona. Barcelona, Spain.
Montero, R. 2018. Learn Electronics and Educational Robotics. Anaya Multimedia Editorial. Spain.
Murueta, M., & Orozco, M. 2014. Psychology of Violence I. Editorial el Manual Moderno S.A. Mexico.
Norman, A. 2019. Machine Learning in Action. TekTime. E-Books.
Ortega, P., & Plancarte P. 2017. Disability: Risk and prevention factors and related professionals. Teaching and Research in Psychology. May-August. 22(2), pp. 183-196. ISSN 0185-1594.
Pineda, C. 2010. Successes in the university retention program. UNESCO-University of La Sabana. Colombia.
Rouhiainen, L. 2018. Artificial Intelligence: 101 things you should know today about our future. Alienta Editorial. Kindle.
Russell, R. 2018. Neural Networks. CreateSpace Independent Publishing Platform. Kindle.
Siemens, G. 2006. Knowing knowledge. Nodos Ele Editorial. E-books.
Tamayo y Tamayo, M. 2004. The process of Scientific Research. Limusa Noriega Editors. Mexico
Tascón, M., & Collaut, A. 2020. Big Data and the Internet of Things. Editorial: Los Libros de la Catarata. Kindle.
Yan-Tak, A. 2019. Machine Learning. Stanford University. [Accessed: 13-01-2020].
