Artificial Intelligence Applied in Problem-Oriented Learning for Information Retrieval in a Gamified Environment

This study investigates the application of Artificial Intelligence (AI) in a Problem-Based Learning (PBL) environment, with emphasis on information retrieval in the field of public technology procurement, from the perspective of risk management and the use of gamified strategies. The research followed a qualitative/quantitative approach in five stages: development of a case study supported by AI; creation of an original board game to simulate real decision-making situations; identification and categorization of perceived risks; application of a structured Likert-scale questionnaire to measure perception; and critical discussion of the results. This research involved professionals directly engaged in ICT acquisition processes and demonstrated that the use of games adapted to the organizational reality (serious game) enhanced engagement, supported knowledge retention, and broadened awareness of relevant risks. Among the main findings were concerns with supplier lock-in and cost underestimation, as well as the high acceptance rate (93.8%) of the gamified experience compared to the traditional expository model. It is concluded that the integration of AI, gamification, and risk management constitutes an innovative and replicable methodology, capable of strengthening training in complex governmental environments, while fostering effective communication and more informed decision-making.