To design a methodology that incorporates AI tools for the internationalization strategy of the “Universidad Nacional de Loja”, the following steps are needed. Firstly, define specific objectives for the internationalization strategy, such as increasing the number of international students, strengthening academic collaborations with foreign institutions, and promoting student mobility. Secondly, gather relevant data on the university, its environment, and global trends in higher education, including demographic information, profiles of international students, existing collaboration agreements, mobility statistics, and competition analysis. Thirdly, apply AI techniques to analyze the collected data and extract valuable insights, such as text analysis for trend identification, network analysis for visualizing collaborations, and historical data analysis for pattern recognition. Next, utilize AI tools like machine learning algorithms to identify potential opportunities, such as countries with high demand for higher education, popular study areas among international students, and institutions with complementary profiles for collaborations. Additionally, employ AI techniques such as modeling and simulation to develop future scenarios based on different variables, aiding decision-making and evaluating the impact of strategic choices. Make informed decisions and design the internationalization strategy based on the data analysis and future scenarios. Finally, implement the strategy, monitor its progress using AI tools, and make necessary adjustments based on ongoing data analysis. It is crucial to have experts in AI and data analysis to ensure effective implementation.