Evaluating the Impact of a Custom ChatGPT Adaptive Simulator on Students’ Salary Negotiation Performance: A Pre-Post Study Bridging Theory and Practice

Abstract

This study examined the effectiveness of a custom ChatGPT adaptive simulator in enhancing students’ salary negotiation skills through experiential learning and applied negotiation principles. A one-group pre–post quasi-experimental design assessed a negotiation lecture intervention using the ChatGPT simulator. Students first completed two pre-intervention negotiations, received a lecture on anchoring bias and concession strategies, and then completed two post-intervention negotiations. Outcomes were compared to measure performance changes. The sample included undergraduate students. Paired-samples t-tests showed significant improvements following the intervention, indicating an educational effect rather than simple task repetition. Regression analyses further revealed that both baseline performance and prior negotiation education predicted post-intervention outcomes, underscoring the value of structured training in enhancing simulator benefits.