The use of Natural Language Processing (NLP) emerges as an effective approach for making significant improvements in the educational field. Natural Language Processing has been widely integrated into numerous educational contexts, including research, science, linguistics, and e‐learning, while also contributing positive‐ly to the achievement of satisfactory results in other educational settings such as schools, higher education, and universities. This paper aims to examine the natural process of language learning and its implications in educational contexts. In addition, the study highlights how NLP can be used in scientific computing programs to improve the educational process.
Natural Language Processing in Education: Applications and Future Perspectives
Vincenza Barra
;Felice Corona
2023-01-01
Abstract
The use of Natural Language Processing (NLP) emerges as an effective approach for making significant improvements in the educational field. Natural Language Processing has been widely integrated into numerous educational contexts, including research, science, linguistics, and e‐learning, while also contributing positive‐ly to the achievement of satisfactory results in other educational settings such as schools, higher education, and universities. This paper aims to examine the natural process of language learning and its implications in educational contexts. In addition, the study highlights how NLP can be used in scientific computing programs to improve the educational process.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.