La inteligencia artificial y la enseñanza docente en la educación básica regular en Lima Norte, 2025
Year: 2025
Type: article
Study design: Observational Study
Abstract: This study examines the impact of artificial intelligence (AI) on teaching within basic education, specifically in primary education, in Lima Norte, aligned with Sustainable Development Goal (SDG) 4: Quality Education. Using a quantitative approach and a non-experimental correlational design, data were collected from 108 teachers in private institutions through a Likert-type questionnaire. The results show that AI has great potential to personalize learning, adapting it to students’ individual needs, optimizing teaching time by utomating repetitive tasks, and facilitating classroom work. Additionally, AI promotes inclusive education by allowing students with different needs to access adapted materials. However, key challenges exist, such as the lack of adequate teacher training and limitations in technological infrastructure. Despite these obstacles, it is concluded that artificial intelligence does not replace teachers but complements them. This allows them to focus on essential aspects of the educational process, such as the integral and personalized development of students, improving the overall quality of education and promoting inclusive and accessible learning for all.
Source: UCV HACER
Language: English
Subfield: Information Systems
Field: Computer Science
Domain: Physical Sciences
SDG: Quality education
Open Access status: diamond
OpenAlex ID: W4410023842