Publicado en línea: 21 jun 2023
Páginas: 2505 - 2512
Recibido: 11 sept 2022
Aceptado: 23 dic 2022
DOI: https://doi.org/10.2478/amns.2023.1.00431
Palabras clave
© 2023 Ting Song, published by Sciendo
This work is licensed under the Creative Commons Attribution 4.0 International License.
The big data era of “data-driven schools, educational analytics and transformation” has arrived and information technology has emerged in education. As the social demand for English writing in universities increases, the research of English writing becomes important, and the use and study of big data and information will only become the new standard for teaching and learning English. This study uses the GBDT model to extract and analyze teaching materials prepared by an English university writing skills course, select materials tailored to students’ characteristics, and produce student test scores. Learning models for predicting, analyzing and analyzing students’ writing scores, information technology can accurately predict students’ scores, which ensures the correct use of information technology in English university academic writing and the impact of GBDT. model for predicting outcomes, which has a positive role and value in student academic writing and teacher training.