Statistical evaluation with SPSS and Python of the integral impact generated by artificial intelligence assistance in Ecuadorian teachers

Abstract

Introduction. Artificial intelligence is transforming education through the personalization of learning, school management and educational data analysis. However, challenges persist in its implementation, highlighting the need for teacher training in AI. Its use can free teachers from routine tasks, but it faces economic and technological obstacles, especially in LATAM. Objective. Investigate how teachers can use AI tools to enhance their work, identify associated challenges, assess the need for training and explore the use of AI to reduce work-related stress. Methodology. The methodological approach used in this research is mixed, combining quantitative survey data with qualitative bibliographic analysis. SPSS descriptive statistics for closed-ended responses and Python were used for the analysis of open-ended questions, respectively. Results. Inferential statistical analysis with SPSS reveals that only 15.4% of teachers are aware of AI tools in education, while 61.5% are not. 76.9% have received training in AI, but 100% believe that it reduces work stress. AI improves time management and facilitates administrative tasks. Conclusion.  The integration of AI in education optimizes time management and facilitates teachers' administrative and pedagogical tasks, allowing greater dedication to personalized teaching. Although popular, the lack of training and technical skills are challenges to overcome. It is crucial to invest in technical training in this regard. AI reduces work stress and improves the quality of the educational environment for teachers.