Date
Publisher
arXiv
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.
Study at a glance
- Question: How do students perceive using generative AI in the classroom, including its ethical implications and impact on STEM interest?
- Setting and data: Students in classrooms.
- Method: Qualitative and quantitative analysis.
Why it matters
Effectively integrating generative artificial intelligence in education is fundamental to preparing future generations. This includes assessing students' perceptions of classroom AI interactions, everyday tool use, ethical implications, and whether AI encourages them to pursue STEM careers.
Key findings
- In classroom settings, engaging educators with new generative artificial intelligence tools is a major challenge for educational improvement.
- Teachers face difficulties adapting their instructional methods for artificial intelligence across all subjects, not just technology-related ones.
- Controlled classroom use of generative artificial intelligence relates to ethical concerns, daily tool usage, and student interest in STEM careers.
Summary drafted with AI from the paper’s abstract and may contain errors. See the full paper for details.
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