Artificial intelligence (AI) is being touted as the future of humanity and often optimistically equated with a "new industrial revolution," with the idea of an algorithm influencing intimate aspects of our lives spreading. This perspective, while seeming utopian, is an everyday reality in which educators act as designers of algorithms for teaching in education. The new dimension of communication is based on NLG (Natural Language Generation) languages, and as a result, transmission takes place through synthetic and standardized techniques. As languages progress, "knowledge" takes a form delineated by formal grammars and increasingly relies on technologies. In the context of new communication, the advancement of Natural Language Generation (NLG) languages is entrusted to the disciplines of technological, mathematical and humanities sciences. The aim of this contribution is to explore the educational potential of the NLG in automating the creation of personalized teaching materials tailored to the specific needs of each student.

Education and Natural Language Generation. The new communication of "knowledge"

Vincenza Barra
;
Felice Corona
2024-01-01

Abstract

Artificial intelligence (AI) is being touted as the future of humanity and often optimistically equated with a "new industrial revolution," with the idea of an algorithm influencing intimate aspects of our lives spreading. This perspective, while seeming utopian, is an everyday reality in which educators act as designers of algorithms for teaching in education. The new dimension of communication is based on NLG (Natural Language Generation) languages, and as a result, transmission takes place through synthetic and standardized techniques. As languages progress, "knowledge" takes a form delineated by formal grammars and increasingly relies on technologies. In the context of new communication, the advancement of Natural Language Generation (NLG) languages is entrusted to the disciplines of technological, mathematical and humanities sciences. The aim of this contribution is to explore the educational potential of the NLG in automating the creation of personalized teaching materials tailored to the specific needs of each student.
2024
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11386/4860824
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