Usefulness of artificial intelligence in teaching gestational syphilis protocols to nursing students

Mónica Hanna-Lavalle, Facultad Ciencias de la Salud, Universidad de Córdoba, Montería, Córdoba, Colombia
María Ortiz-Jiménez, Facultad Ciencias de la Salud, Universidad de Córdoba, Montería, Córdoba, Colombia

Introduction: Syphilis, known as “the great pretender”, as a sexually transmitted infection was the cause of neurological and cardiac diseases before the discovery of penicillin, hence the importance of early detection and treatment. Objective: To determine the degree of knowledge of nursing students in relation to care protocols for gestational and congenital syphilis by means of an intelligent tutor system. Method: Quantitative research, quasi-experimental design, with predominance of independent variable, two groups were selected (control and experimental) from the same university, both were simultaneously applied a pre-test and the VARK, Felder and Silverman models. One group was intervened with the intelligent tutor system for 4 months, simultaneously a post-test was applied, analyzing results by means of descriptive statistics, subsequently significant differences between the groups were evaluated. Results: The final pretest score of the experimental group was 6.57 and the post-test results show an average of 7.75, which indicates that the students increased their score after having applied the intelligent tutor system. Conclusion: The implementation of the intelligent tutor system could be considered an effective tool in educational processes, serving as a guide for professionals and nursing students, as an updating tool for the Colombian Ministry of Health.

Keywords: Artificial intelligence. Software validation. Software. Knowledge. Learning.