Rapid technological advancements, coupled with the 21st century's environmental, social, and economic challenges, have prompted higher education institutions to confront the imperative of cultivating citizens with the capacity to comprehend and resolve complex engineering problems. This research aims to analyze the components of complex engineering problems through training experiences with scenarios that integrate them, with the purpose of designing and validating an assessment model assisted by generative artificial intelligence (GenAI). This work will utilize a sequential exploratory QUAL → QUAN design in two phases. The required instruments for evaluating scenarios and students will be developed in the initial phase. The assessment model assisted by GenAI will be constructed in the subsequent phase. The population under discussion will comprise higher education teachers, engineering students from universities in Mexico, and education experts. The three anticipated outcomes of this research endeavor will be formulating a checklist to evaluate complex scenarios, developing a rubric to assess solutions to complex problems, and creating GenAI-assisted assessment models. The research project will contribute to innovation and educational assessment by providing a validated assessment model for evaluating complex engineering problem-solving skills