#15: AI Competence in STEM Education: An Exploratory Study of STEM Educators’ Confidence, Knowledge, and Pedagogical Practices

This exploratory study examines STEM educators’ perceptions of their confidence, knowledge, and use of artificial intelligence (AI) technologies, as well as their views on the impact of AI on teaching and learning. Using a mixed-methods survey design, data were analyzed through descriptive statistics and thematic analysis. Findings revealed substantial variation in perceived AI knowledge, confidence, and pedagogical practices. Participants described developing AI competence through self-directed learning and professional networks, with limited access to structured training. Reported AI applications in teaching included lesson planning, feedback generation, and student projects, with practices varying depending on purpose, familiarity, and access. While educators recognized AI benefits, such as increased efficiency and scaffolds for student learning, they also expressed concerns related to academic integrity, overreliance, and equity. These findings offer preliminary insights to inform future large-scale studies on ethical and equitable AI integration strategies responsive to disciplinary practices across STEM disciplines.