How Are College Personnel Embracing AI? A Mixed Method Study (Poster 5)

• In Event: AERA Poster Session Sunday 8:00 a.m.
  In Poster Session: AI as an Agent of Change in Teaching and Learning

Abstract

Artificial intelligence (AI), one of the most cutting-edge technologies, has been discussed in educational contexts since the 1970s. The advent of AI tools using Large Language Models has elevated the discourse on AI integration in education. This mixed-method study utilizes surveys and semi-structured interviews to investigate undergraduate students' and faculty members’ experiences and attitudes toward AI. Findings include AI usage frequency, familiarity, received support, required resources, and willingness to pay for upgraded versions. Structural Equation Modeling analysis reveals the mediating role of perceived others’ attitudes in the relationship between the AI learning environment and personal attitudes toward AI. Practical implications for educators and policymakers are discussed.

Authors

• Lindai Xie, Virginia Commonwealth University

• Yingying Jiang, Purdue University

• Fangfang Mo, Purdue University

• Chi-Ning Chang, Virginia Commonwealth University