Exploring the Perspectives of Science Teachers in the Netherlands on AI in Science Education: Needs, Challenges, and Practices
Dadan Sumardani, Hannie Gijlers, Hsin-Chueh Chen, Miao-Hsuan Yen, Chun-Yen Chang*

Graduate Institute of Science Education, National Taiwan Normal University - Department of Instructional Technology, University of Twente - Institute for Research Excellence in Learning Sciences, National Taiwan Normal University


Abstract

Couros states, ^Technology will never replace great teachers, but technology in the hands of great teachers is transformational^-a principle that resonates strongly in the AI era. This study explores the perspectives of Dutch science teachers on the integration of AI into science education. Drawing on qualitative data from interviews with two science teachers in the Netherlands, the research investigates the challenges and potential solutions related to AI use in the science classroom. The findings highlight key issues, particularly in grading and assessment, as well as student literacy in an increasingly AI-enhanced learning environment. Teachers expressed concerns about students^ over-reliance on AI tools, especially in assignments where AI-generated work is submitted. To address these concerns, the study proposes process-oriented assessment strategies, such as using learning logbooks and conducting comparative analyses between student- and AI-generated responses. Both teachers acknowledged AI^s potential to enhance students^ problem-solving skills in science, while also emphasizing the need for ethical considerations and clear implementation guidelines. The role of teachers as facilitators of responsible AI use is underscored, with a focus on fostering students^ critical evaluation of AI-generated content. This study contributes to the growing discourse on AI in education by highlighting both the opportunities and challenges that must be addressed to maximize the benefits of AI in science teaching and learning.

Keywords: Educational Technology, Science Education, Artificial Intelligence

Topic: Science Education

MSCEIS IWALS 2025 Conference | Conference Management System