NCT07434336

Adaptive Gamification in Obstetric Nursing

Effectiveness of Gamification With a Narrative Adapted to the Player's Profile in Obstetric Nursing Competencies: A Cluster Randomized Controlled Pilot Trial Protocol

• Status: Not Yet Recruiting
• Phase: N/A
• Study type: Interventional
• Enrollment: 38 (estimated)
• Sponsor: Servicio Canario de Salud · Academic / Other
• Sex: All
• Age: —
• Healthy volunteers: Accepted

Summary

This pilot study, conducted at the University of Atlántico Medio, seeks to transform the training of future nurses through a "Precision Education" model, moving away from generic simulations to focus on learning adapted to the student's individual profile. Through a clinical trial with 38 second-year students, the research evaluates whether using Artificial Intelligence to personalize educational narratives (gamification) according to the student's personality enhances academic performance in obstetrics (pregnancy and childbirth). The ultimate goal is to demonstrate that adapting teaching to each student's psychological characteristics is not only a sustainable strategy but also produces better-prepared professionals with higher knowledge retention, directly translating into safer and higher-quality care for patients and their families.

Detailed description

Imagine if education were like a suit: currently, most classes are "one-size-fits-all." All students receive the same lesson in the same way, regardless of whether they are shy, bold, analytical, or emotional. But what if the investigator could tailor a suit specifically for each student's mind? A new pilot study from the University of Atlántico Medio has set out to answer this question, exploring how Artificial Intelligence (AI) can revolutionize the way the investigators train our future healthcare professionals. The Problem: The investigators don't All Learn the Same Way Nursing training, especially in critical areas like obstetrics (pregnancy and childbirth care), requires not only technical skill but also rapid decision-making and empathy. Traditional simulation methods often overlook the student's "personal profile," offering a generic experience that doesn't motivate everyone equally. The Solution: Custom Stories Generated by AI have designed an innovative protocol combining psychology and technology. Instead of a standard class, the study uses educational games (gamification). The big breakthrough is the use of Artificial Intelligence. The AI analyzes each student's personality and adapts the game's narrative to their profile. Is the student competitive? The game might present high-stakes challenges. Are they more reflective? The story might offer deep data for analysis. To test if this works, a trial is being conducted with 38 second-year nursing students. They will be divided into two groups: Those learning with the traditional (generic) game method. Those learning with the "Precision Education" method, where AI adapts clinical pregnancy and childbirth cases to their personality. The goal is to measure not only how much they learn ("learning gain") but also how much they enjoy and engage in the process. Why Does This Matter for Everyone? This study isn't just about improving student grades. It is about safety and excellence in healthcare. If the investigators demonstrate that adapting education to a student's personality creates better-prepared and more committed nurses, the investigators will be opening the door to more humane and effective healthcare. Furthermore, the use of Generative AI makes this personalization-previously impossible due to cost-a sustainable and accessible tool for medical and nursing schools. The investigators are witnessing the shift from mass education to person-centered education, ensuring that those who care for us tomorrow have the best possible preparation today.

Conditions

• Learning Development
• Obstetric

Interventions

Type	Name	Description
OTHER	Adapted Gamified	The Experimental Group receives a personalized experience generated by AI and adjusted to five personality profiles (PPDS scale). This adaptation transforms the learning "wrapper" by offering specific narrative tones (such as heroic, humorous, or empathetic), differentiated visual aesthetics, feedback styles adjusted to the student's motivation, and exclusive side missions (such as puzzles or speed challenges), which are accessed via specific codes according to their role.
OTHER	Generic Gamified	The primary distinction between the two groups lies exclusively in the adaptation of the narrative and gamification elements, given that the clinical content, learning objectives, and difficulty remain invariant to ensure academic validity. The Control Group interacts with a linear and generic narrative characterized by a neutral academic tone, standard medical aesthetics, and conventional feedback without additional missions

Timeline

• Start date: 2026-02-19
• Primary completion: 2026-03-19
• Completion: 2026-03-19
• First posted: 2026-02-25
• Last updated: 2026-02-25