Abstract
Artificial intelligence (AI) has the objective to produce devices that reproduce human capacity in the spheres of reasoning, awareness, guidance, decision making, and collaboration in problem-solving. Its operation is based on a stimulus from the outside world centered on data analysis; it is usually related to Machine Learning. AI in Education also expands the teachers’ capabilities, allowing them to focus on his most important task, i.e., accompanying students individually and supporting the teaching–learning process more effectively. In this sense, the greater the volume of interactions in the digital environment, the greater the system’s ability to update its information based on student interactions. Through the performance analysis of students and classes, it is possible to articulate new approaches and educational actions through the data collected concerning learning. Since the student, when engaged, learns very well with technology, and so, the system can, for example, know in which areas a student does best, how they reason to solve problems and what they seek to complement his learning. However, AI makes it possible for the teacher to make more assertive decisions in supporting student learning, it is still worth considering that technology does not replace the teacher, but helps them to perfect and optimize his classes. Therefore, this chapter aims to provide an updated overview of AI in Education, showing its context on the horizon in teaching, addressing and approaching its branch of application potential, with a concise bibliographic background, synthesizing the potential of technology.
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Borges Monteiro, A.C., Padilha França, R., Arthur, R., Iano, Y. (2021). A Look at Artificial Intelligence on the Perspective of Application in the Modern Education. In: Pedrycz, W., Martínez, L., Espin-Andrade, R.A., Rivera, G., Marx Gómez, J. (eds) Computational Intelligence for Business Analytics. Studies in Computational Intelligence, vol 953. Springer, Cham. https://doi.org/10.1007/978-3-030-73819-8_10
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