Qualitative and quantitative analysis of student's perceptions in the use of generative AI in educational environments
It addresses the integration of AI in education for students and teachers, but is incremental as it focuses on perceptions rather than novel solutions.
This study analyzed student perceptions of generative AI in education through quantitative and qualitative methods, finding that teachers face challenges in engaging with new technologies and adapting methods across all subjects.
The effective integration of generative artificial intelligence in education is a fundamental aspect to prepare future generations. The objective of this study is to analyze from a quantitative and qualitative point of view the perception of controlled student-IA interaction within the classroom. This analysis includes assessing the ethical implications and everyday use of AI tools, as well as understanding whether AI tools encourage students to pursue STEM careers. Several points for improvement in education are found, such as the challenge of getting teachers to engage with new technologies and adapt their methods in all subjects, not just those related to technologies.