Use of Artificial Intelligence and Scientific Research Effectiveness in Teachers in Peru

Abstract

The research addressed the relationship between the use of artificial intelligence (AI) and the effectiveness of scientific research in Science and Technology (S&T) teachers in Metropolitan Lima in 2024. Using a quantitative approach, data from a sample of 218 teachers were processed using descriptive statistics and SPSS version 26 software. A 50-item questionnaire was developed, validated with the Hernandez-Nieto statistic, reaching a validity per item of 0.996 and a Cronbach's alpha of 0.949. The applied survey yielded a Spearman correlation coefficient of 0.662 between the use of AI and effectiveness in inquiry, indicating a positive correlation. In addition, moderate and high correlations were found for variables such as frequency of AI use (0.395) and quality of information provided by AI (0.666), respectively. The results confirmed the trends observed in previous studies, both national and international, concluding that AI significantly enhances research effectiveness in the S&T field.