Understanding the Practices, Perceptions, and (Dis)Trust of Generative AI among Instructors: A Mixed-methods Study in the U.S. Higher Education

• DOI: 10.48550/arxiv.2502.05770
• Publication Date: 2025-02-08
• Authors: Wenhan Lyu; Shuang Zhang; Tingting; Chung; Yifan Sun; Yixuan Zhang
• Keywords: Generative model

Generative AI (GenAI) has brought opportunities and challenges for higher education as it integrates into teaching learning environments. As instructors navigate this new landscape, understanding their engagement with attitudes toward GenAI is crucial. We surveyed 178 from a single U.S. university to examine current practices, perceptions, trust, distrust of in March 2024. While most reported moderate high familiarity GenAI-related concepts, actual use tools direct instructional tasks remained limited. Our quantitative results show that trust are related yet distinct; does not necessarily imply low distrust, vice versa. also found significant differences instructors' across different groups. qualitative nuanced manifestations among various approaches support calibrated GenAI. discuss practical implications focused on (dis)trust calibration instructors.