Generative AI-based Cognitive Robot for exam candidates' knowledge self-assessment

Medical curricula are based on both theorical knowledge and competence achievement for either postgraduate or undergraduate medical education. It is important that medical students can self-assess their knowledge and competence so that they can take responsibility for their learning quality. Self-assessment is an important parameter in medical education to develop clinical competence. In this article we present a Generative AI-based Cognitive Robot developed for enabling the automatic self-assessment of hypertension exam candidates' knowledge. The candidates are provided with ten direct open-questions automatically generated by the Artificial Intelligence solution (i.e., the Cognitive Robot): the performance of the Cognitive Robot is evaluated by comparing the outcomes calculated by the AI solution and the results achieved by the students while answering to the same list of questions, asked by a human Investigator. The Cognitive Robot has proven to present a very high level of accuracy. Moreover, the candidates involved in this study have confirmed the usefulness and trust of the Cognitive Robot. The Artificial Intelligence solution proposed for self-assessing the exam candidates' knowledge is effective, innovative, accurate and can be extended to other field of study in the medicine realm.