Enhancing Anatomy Education Throu€gh Flipped Classroom and Adaptive Learning A Pilot Project on Liver Anatomy

Area of Science:

• Medical Education
• Anatomy
• Artificial Intelligence

Background:

• Anatomy education is crucial for medical practice and patient care.
• Assessing anatomical knowledge is vital for evaluating student and physician competence.
• Traditional anatomy education faces challenges like limited teaching hours and a shortage of instructors.

Purpose of the Study:

• To explore the effectiveness of Area9's Rhapsode platform, an AI-powered intelligent tutoring system.
• To investigate the impact of AI-driven personalized learning on anatomy mastery acquisition.
• To evaluate the system's ability to collect data on student learning and metacognition.

Main Methods:

• A pilot study involving 123 first-year medical students focused on liver anatomy.
• A flipped classroom approach was used, integrating adaptive learning modules and interactive sessions.
• Student mastery was measured via platform-generated data, and metacognition was assessed by correlating mastery with self-awareness.

Main Results:

• Initial student incompetence levels (conscious and unconscious) were significant.
• By the end of the module, conscious incompetence decreased to 1.87%.
• A remarkable 98.73% of students achieved conscious mastery of the liver anatomy material.

Conclusions:

• AI-based adaptive learning systems, like Rhapsode, can significantly enhance anatomy education quality.
• The platform improved learning quality, optimized study time, and boosted students' metacognitive awareness.
• This AI approach offers a potential solution to challenges in anatomy education, promoting individualized instruction and mastery.