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CONFERENCE PROCEEDING
Towards 2030: exploring the impact of AI on teaching and learning in midwifery education
1
University of Toronto, Lawrence S Bloomberg Faculty of Nursing, Toronto, Canada
2
University of Toronto, Department of Electrical and Computer Engineering, Toronto, Canada
Eur J Midwifery 2026;10(Supplement 1):A88
ABSTRACT
PURPOSE:
AI has the potential to transform midwifery education by providing more personalized learning experiences for students, helping them to develop the critical thinking skills needed for making better-informed care decisions. This presentation will provide an overview of the current state of AI in midwifery education and provide suggestions for future directions.
DISCUSSION:
From analyzing curricula to ensure teaching materials remain current and providing personalized learning experiences for students, AI has the potential to help future generations of midwives. One of the challenges in higher education is adapting learning materials to suit the different learning styles of individual students. AI-assisted learning has the potential to help tailor material to individual students and AI assessment platforms can provide real-time feedback during assignments and tests and help students discover areas where they are struggling and connect them with appropriate resources. Virtual Reality simulation can provide realistic clinical scenarios which allow students to practice hands on-skills and clinical decision making. The incorporation of AI into training scenarios has the potential to create more sophisticated and complex simulations to further assist students develop skills for situations they may encounter in practice. AI systems cannot replace the expertise, instincts, and observation skills of midwives, but it can provide them with powerful tools to help them develop and maintain their skills.
EVIDENCE WHERE RELEVANT:
Examples of AI integration in midwifery education will be used throughout the presentation.
KEY MESSAGE:
Although there is great potential for the use of AI in midwifery education, it is not without its challenges and concerns. Issues such as academic integrity, data privacy, and the biases inherent in AI tools also have to be considered. Attention also needs to be given to the support that educators need to understand the capabilities and limitations of AI technology and how it can be used to enhance the teaching and learning process. Digital technology/AI 2
AI has the potential to transform midwifery education by providing more personalized learning experiences for students, helping them to develop the critical thinking skills needed for making better-informed care decisions. This presentation will provide an overview of the current state of AI in midwifery education and provide suggestions for future directions.
DISCUSSION:
From analyzing curricula to ensure teaching materials remain current and providing personalized learning experiences for students, AI has the potential to help future generations of midwives. One of the challenges in higher education is adapting learning materials to suit the different learning styles of individual students. AI-assisted learning has the potential to help tailor material to individual students and AI assessment platforms can provide real-time feedback during assignments and tests and help students discover areas where they are struggling and connect them with appropriate resources. Virtual Reality simulation can provide realistic clinical scenarios which allow students to practice hands on-skills and clinical decision making. The incorporation of AI into training scenarios has the potential to create more sophisticated and complex simulations to further assist students develop skills for situations they may encounter in practice. AI systems cannot replace the expertise, instincts, and observation skills of midwives, but it can provide them with powerful tools to help them develop and maintain their skills.
EVIDENCE WHERE RELEVANT:
Examples of AI integration in midwifery education will be used throughout the presentation.
KEY MESSAGE:
Although there is great potential for the use of AI in midwifery education, it is not without its challenges and concerns. Issues such as academic integrity, data privacy, and the biases inherent in AI tools also have to be considered. Attention also needs to be given to the support that educators need to understand the capabilities and limitations of AI technology and how it can be used to enhance the teaching and learning process. Digital technology/AI 2
| eISSN: | 2585-2906 |
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