The Impact of Artificial Intelligence-Assisted Case Discussion on Artificial Intelligence Attitude, Usage and Proficiency Among Midwifery Students

Artificial intelligence (AI), which refers to computer-supported systems capable of performing tasks that require human intelligence, has become increasingly popular in all fields in recent years. AI is a technological system that can think, learn, perceive, make predictions, communicate, and make decisions like humans-or even better than humans. In short, AI can be described as a broad scientific field that simulates the natural intelligence demonstrated by humans through artificial means.

The ability of AI to process the data presented to the system, perform data analyses, generate new ideas, and reach different conclusions has increased the use of AI. These features may surpass human problem-solving and decision-making abilities in terms of speed, efficiency, and quality. Due to these advantages, the use of artificial intelligence in midwifery education has become inevitable.

The Australian College of Midwives (ACM) established the Select Committee on Adopting Artificial Intelligence in March 2024 to support and regulate the adoption of AI. This committee emphasized the necessity and priority of using AI in midwifery education. It also highlighted that midwives should be trained in the use of AI and should be an integral part of the design, implementation, and evaluation of all AI tools used in maternity care (ACM, 2024).

Regarding the use of AI in healthcare, the World Health Organization (WHO) has identified three strategic plans: enabling evidence-based standards, governance, policies, and guidance; facilitating shared investments and a global community of expertise; and implementing sustainable models for the adoption of AI programs at the country level (WHO, 2024). In line with these strategies, it is necessary to integrate AI applications into the midwifery profession.

With the influence of rapidly evolving technology, it has become inevitable to improve midwifery education. In traditional education methods, the instructor plays an active role while students remain passive. However, for learning to be effective, opportunities should be created for students to actively practice their skills and develop critical thinking abilities. Case-based learning in midwifery education is a method that can improve students' logical, clinical, and participatory skills while increasing their knowledge levels.