Real learnings in virtual environments. The role of technology in the Artificial Intelligence and Big Data era
DOI:
https://doi.org/10.29197/cpu.v17i34.396Keywords:
Artificial Intelligence, Big Data, Learning analytics, Adaptive learningAbstract
Artificial Intelligence and Big Data have recently gained relevance in academic fields, raising questions about their application and usefulness. In this article we will analyze the meanings of these technologies and the implications of their use for pedagogical purposes. We will do so based on the most frequent questions that every new technology presents when it is intended to be used in education, and based on a bibliographic research that gives meaning and support to this approach, concluding in what we have known for long time now, and it is that technology is not worth by itself, but by the use we make of it.
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Bates, A. (2015). Teaching in a Digital Age. Pressbooks. https://pressbooks.bccampus.ca/teachinginadigitalagev2/
Brynjolfsson, E., y McAfee, A. (2013). La Segunda Era De Las Máquinas. Buenos Aires: Temas.
Burkhardt, M. (14 de abril de 2019). Towards Data Science. Recuperado el 27 de julio de 2019, de https://towardsdatascience.com/the-impact-of-ai-on-inequality-job-automation-and-skills-of-the-future-fe89c21e34bc
Castro, Meier, Cukierman, Waigandt, "ICT needs and trends in engineering education" 2015 International Conference on Interactive Collaborative Learning (ICL), Florence, 2015, pp. 146-149, doi: 10.1109/ICL.2015.7318016.
Cukierman, U. (2005). AMERICA@UTN - learning through advanced communication and information technology resources and means @ UTN. 6th International Conference on Information Technology Based Higher Education and Training, Santo Domingo, 2005, pp. T4C/1-T4C/6, doi: 10.1109/ITHET.2005.1560262.
Cukierman, U., Silvestri, S., Drangosch, J., Pérez Ferrando, D., Agüero, M., Delmonte, R., González Corrao, L. y Saclier, L. (2017). Bridging the gap between first-year students and Engineering: A novel application of mobile technologies for improving Mathematics and Physics learning. 7th World Engineering Education Forum (WEEF), Kuala Lumpur, 2017, pp. 834-838, doi: 10.1109/WEEF.2017.8467127.
Cukierman, U., Silvestri, S., Drangosch, J., Pérez Ferrando, D., Agüero, M., González, M., González, C. y Dellepiane, P. (2018). A Student-Centered Approach to Learning Mathematics and Physics in Engineering Freshmen Courses. 2018 World Engineering Education Forum - Global Engineering Deans Council (WEEF-GEDC), Albuquerque, NM, USA, pp. 1-5, doi: 10.1109/WEEF-GEDC.2018.8629733.
Deloitte - Ipsos MORI (2019). 2nd Survey of Schools: ICT in Education. Luxemburgo: European Commission, Directorate-General of Communications Networks, Content y Technology.
EdSurge (2016). Decoding Adaptive. Londres: Pearson.
El Alfy, S., Marx Gómez, J. y Dani, A. (Septiembre de 2018). Exploring the benefits and challenges of learning analytics in higher education institutions: A systematic literature review. Information Discovery and Delivery.
Freire, P. (1997). Pedagogía de la autonomía: Saberes necesarios para la práctica educativa. México: Siglo XXI.
Frontier Economics (2018). THE IMPACT OF ARTIFICIAL INTELLIGENCE ON WORK: An evidence review prepared for the Royal Society and the British Academy. Recuperado el 27 de julio de 2019, de https://royalsociety.org/-/media/policy/projects/ai-and-work/frontier-review-the-impact-of-AI-on-work.pdf
Gardner, H. (1991). The unschooled mind: how children think and how schools should teach. New York: Basic Books.
Gardner, H., y Hatch, T. (1989). Multiple intelligences go to school: Educational implications of the theory of multiple intelligences. Educational Researcher, 18(8), págs. 4-9.
Gardner, H. (1983). Frames of mind: the theory of multiple intelligences. New York: Basic Books.
Grigori, D., Casati, F., Castellanos, M., Dayal, U., Sayal, M. y Shan, M. (2004). Business Process Intelligence. Computers in Industry, 53, págs. 321-343.
Halevi, G. y Moed, H. (2012). The Evolution of Big Data as a Research and Scientific Topic: Overview of the Literature. Research Trends, 30, 3-6. Recuperado el 22 de julio de 2019, de https://www.researchtrends.com/issue-30-september-2012/the-evolution-of-big-data-as-a-research-and-scientific-topic-overview-of-the-literature/
International Telecommunications Union (2019). World Telecommunication/ICT Indicators Database 2018.
McCarthy, J., Minsky, M., Rochester, N. y Shannon, C. (1955). A Proposal for the Dartmouth Summer Research Project on Artificial Intelligence. Recuperado el 22 de julio de 2019, de http://jmc.stanford.edu/articles/dartmouth/dartmouth.pdf
New Media Consortium (2016). 2016 Horizon Report. EDUCAUSE. Obtenido de https://library.educause.edu/-/media/files/library/2016/2/2016hrhees.pdf
Nunn, S., Avella, J., Kanai, T. y Kebritchi, M. (junio de 2016). Learning Analytics Methods, Benefits, and Challenges in Higher Education: A Systematic Literature Review. Online Learning Journal, 20(2), págs. 1-17.
Oppenheimer, A. (2018). ¡Sálvese quien pueda! El futuro del trabajo en la era de la automatización. México: Debate.
Perry, S. (22 de mayo de 2017). What is big data? More than volume, velocity and variety…. Recuperado el 22 de julio de 2019, de https://developer.ibm.com/dwblog/2017/what-is-big-data-insight/
PwC (s.f.). PwC - UK. Recuperado el 27 de julio de 2019, de https://www.pwc.co.uk/services/economics-policy/insights/the-impact-of-automation-on-jobs.html
Quote Investigator (s.f.). Recuperado el 27 de julio de 2019, de https://quoteinvestigator.com/2012/08/17/lecture-minds/#return-note-4284-2
Real Academia Española (s.f.). Diccionario de la Lengua Española. Recuperado el 22 de julio de 2019, de https://dle.rae.es/?id=LqtyoaQ
Technavio (2018). Artificial Intelligence Market in the US Education Sector 2018-2022. Londres: Technavio.
UNESCO (2012). UNESCO Institute for Statistics. Recuperado el 26 de julio de 2019, de http://data.uis.unesco.org/
Web Analytics Association (16 de agosto de 2007). Web Analytics Definitions. Recuperado el 23 de julio de 2019, de http://www.inesting.org/ad2006/adminsc1/app/marketingtecnologico/uploads/Manuais/waa-standards-analytics-definitions-volume-i-20070816.pdf
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