Sustainable Development Goals
Abstract/Objectives
This study investigates the attitudes and perceptions of pre-service teachers, including undergraduate and graduate students, toward the application of Generative AI (GenAI) in science inquiry teaching. Using surveys and focus group interviews, the study explores their understanding of the potential benefits and challenges of integrating GenAI into the classroom, as well as their acceptance and needs regarding its use in teaching practice. The research focuses on how GenAI can support students' science inquiry and argumentation learning, including data analysis, text generation, and concept clarification. It also examines pre-service teachers’ concerns and suggestions about the ethical and effective use of GenAI. The findings aim to provide educators and policymakers with practical insights for implementing GenAI in education and inform the design of future teacher training programs.
Results/Contributions

This study explored pre-service teachers' (undergraduates and graduate students) attitudes toward the application of generative artificial intelligence (GenAI) in science inquiry teaching. The results showed that most pre-service teachers held a positive attitude toward the potential of GenAI in teaching, believing it could effectively assist students in data analysis, text generation, and enhancing learning outcomes. However, some teachers expressed concerns about its application, particularly regarding the accuracy of AI-generated content, ethical issues, and the potential shift in the role of teachers. The study found that undergraduates were more open to AI technology, seeing it as a tool to increase interaction and innovation in learning, while graduate students were more focused on the practical implementation and feasibility of AI in science inquiry. Teachers generally agreed that to effectively integrate GenAI, they need professional training and to consider students' needs and the specific context of AI applications in teaching design. Additionally, the study recommended strengthening ethical guidance for AI in science education and balancing the roles of AI tools and human teachers to ensure the collaborative development of technology and educational goals.

Keywords
GenAIPre-service TeachersScientific InquiryTeacher Training Program