Evaluation of Learning in Applied Economics: An Approach Based on the Use of ChatGPT

This study evaluates the integration of ChatGPT as a complementary tool in applied economics courses, aiming to enhance student learning and skill acquisition. Over two academic years, three student groups were analyzed: a traditional group, an AI group using ChatGPT without guidance, and a combined group receiving both instructor guidance and ChatGPT training. Results from the 2023-2024 academic year revealed significant challenges, including poor performance in the AI group due to insufficient training and unfamiliarity with international databases. In contrast, the 2024-2025 combined group demonstrated improved outcomes, with 100% participation and pass rates, alongside positive student feedback on ChatGPT's utility for tasks and comprehension. The findings suggest that guided integration of AI tools, coupled with proper training, can significantly enhance learning outcomes, advocating for a hybrid model in higher education.