Although the benefits of Generative Adversarial Networks are reported in cutting-edge literature, little is known about how generative artificial intelligence (GEN-AI) can contribute to enhancing educational strategies. This study presents a modeling proposal enabled by GEN-AI to shape teaching-learning strategies in a conventional environment. This research is necessary due to the pressing need to explore the potential of artificial intelligence (AI), especially ChatGPT, as a facilitator of the teaching-learning process, accelerate the adaptation of teachers and make them protagonists, highlighting the ethical and moral use of GEN-AI. The article presents a strong theoretical foundation with pedagogical approaches and also learning theories as an educational theoretical basis, as well as a teaching methodology enabled by reference GEN-AI. This research is original and makes significant contributions: (i) it expands the arguments in the literature in the field of education and AI; (ii) offers a GEN-AI-enabled modeling framework for teaching and learning aimed at skills formation; and (iii) serves as a guide for managers and educators to amplify their teaching and learning strategies, making them more engaging, personalized, and adaptable to the individual needs of students and, thus, improving educational effectiveness.