The use of artificial intelligence for people with disabilities considering aspects of intellectual property

Authors

DOI:

https://doi.org/10.15448/1981-2582.2024.1.44691

Keywords:

Intellectual Property, intellectual disability, Education 4.0

Abstract

This article discusses the use of AI within the scope of intellectual property and Education 4.0 applied to individuals with intellectual disabilities. It aims to analyze the positive and negative perspectives of the use of this technology due to the significant increase in its use in recent years. Thus, the impact of AI-induced changes in Education 4.0 may be substantial. Still, they are not yet easily discernible, requiring an in-depth analysis to fully understand the impact of these changes in education driven by artificial intelligence. This research is based on the theoretical areas of Educational Technology and Machine Learning. The explorations were identified based on bibliometric parameters and research into already published materials (books, articles, theses, and dissertations) in the SciELO and Google Scholar databases to understand the development path of AI in the two spheres above. In analyzing the results, a classification of intelligent tutors is presented, namely, personalized adaptation, immediate feedback, continuous monitoring, interactivity and engagement, data analysis and statistics, adaptive learning, 24/7 access, multidisciplinary support, artificial and machine intelligence learning and integration with educational platforms, which permeate educational machine learning. In conclusion, this work aims to demonstrate that success in inclusion lies in recognizing students’ differences and considering them as a positive asset to promote the learning of all people with disabilities. Differences between students need to be identified to provide study opportunities. Therefore, AI in education is positioned as a resource that promotes autonomous learning without – or with little – geographic restrictions.

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Author Biographies

Adriano Ventura Marques, Federal University of Sergipe (UFS), São Cristóvão, Sergipe, Brazil

PhD student in the Postgraduate Program in Intellectual Property Science – PPGPI, at the Federal University of Sergipe – UFS. He is currently a permanent professor at the Federal Institute of Sergipe – IFS, working in the areas of financial management, logistics and entrepreneurship.

Gabriel Francisco da Silva, Federal University of Sergipe (UFS), São Cristóvão, Sergipe, Brazil.

Graduated in Chemical Engineering from the Federal University of Paraíba (1988), master's degree in Chemical Engineering from the Federal University of Paraíba - Campus II - Campina Grande (1991) currently UFCG and PhD in Food Engineering from the State University of Campinas - FCA (1999) . He is currently a full professor at the Petroleum Engineering Center at the Federal University of Sergipe. He participates in the Postgraduate Programs in Chemical Engineering, Postgraduate Program in Intellectual Property Science and Northeastern Network Postgraduate Program in Biotechnology. Works in the areas of Separation and Mixing Operations, Chemical Technology and Renewable Energy, specifically in the development of technology in oil, gas, biofuel, bioenergy, renewable energy, water and effluent treatment, drying, extraction with supercritical fluid, flow, thermophysical properties , processing of agro-industrial products, thermodynamic modeling and computational fluid dynamics. He is currently a Productivity in Technological Development and Innovative Extension DT 1D scholarship holder - 2020-2024.

José Osman dos Santos, Federal Institute of Sergipe (IFS), Aracaju, Sergipe, Brazil.

He holds a degree in Physics from the Federal University of Sergipe (1998), a master's degree in Physics from the same university (2001) and a PhD in Nuclear Technology from the University of São Paulo (2007). He is currently a tenured professor at the Federal Institute of Sergipe. He has experience in Physics with an emphasis on Optical Properties and Spectroscopy of Condensed Matter, Interactions of Matter with Radiation and Particles, working mainly on the following topics: environment, archaeometry, neutron activation analysis, multivariate statistics and trace elements, geostatistical modeling. He has also worked in collaboration with researchers to develop technologies related to the areas of oil, natural gas, biofuel, environment and sustainability. He teaches the Professional Master's Degree in Professional and Technological Education at IFS.

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Published

2024-03-19

How to Cite

Ventura Marques, A., Silva, G. F. da, & Santos, J. O. dos. (2024). The use of artificial intelligence for people with disabilities considering aspects of intellectual property. Educação, 47(1). https://doi.org/10.15448/1981-2582.2024.1.44691

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Vol. 47 No. 1 (2024): Single Volume - Continuous flow

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