Affiliation:
1. The University of Texas at Arlington, USA
Abstract
This study explores how confidence levels in user prompts affect AI-generated resume text. Using six varied prompts for AI models ChatGPT-3.5, Gemini, and Perplexity, it examines how AI interprets and responds to different confidence levels. The findings reveal significant differences in AI-generated resumes based on prompt confidence, highlighting the need to adapt resume pedagogy for the AI age. Emphasizing the importance of teaching genre conventions and developing critical AI literacies, the study offers practical recommendations for integrating AI tools into resume writing instruction to better prepare students for an increasingly digital world.
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