Proceedings of the E-Learning and Smart Engineering Systems (ELSES 2024)

<Previous Article In Volume
Next Article In Volume>

The Learning Revolution: When Artificial Intelligence Transcends The Training Of Nurses And Midwives

Authors
Najat Boucetta1, 2, *, Hakima Seghir1, Ghizlane Ghariz1, Said Boubih1, 2, Mustafa El Alaoui1, Rachid Janati Idrissi1
1Research Team in Pedagogical Engineering and Science Didactics, Higher Normal School, Abdelmalek Essaadi University, Tétouan, Morocco
2Higher Institute of Nursing Professions and Technical Health, Tétouan, Morocco
*Corresponding author. Email: Boucettanajat1970@gmail.com
Corresponding Author
Najat Boucetta
Available Online 20 June 2025.
DOI
10.2991/978-2-38476-408-2_7How to use a DOI?
Keywords
Artificial intelligence; education; nursing and midwifery; integration; healthcare practices
Abstract

In our era of rapid technological progress, artificial intelligence (AI) is omnipresent, reshaping our lives and strengthening our interconnectedness through increased digitization. AI is transforming healthcare practices using technologies like machine learning, natural language processing, and physical robots, thereby enhancing patient outcomes and offering realistic simulations for healthcare education. This study aimed to assess the knowledge, experiences, and to analyze opinions of nursing and midwifery students regarding AI’s usage in their education and future professional practice. Carried out with 189 Moroccan nursing and midwifery students, the study utilized a structured questionnaire via Google Forms to gauge their understanding, exposure, and views on AI in education and practice. Data collected anonymously adhered to ethical standards emphasizing voluntary participation and confidentiality. Results revealed a predominantly feminine (77%) sample, mainly in their twenties, with 61% identifying as nursing students and 39% as midwives. Notably, 71% of respondents were familiar with AI. Concerning AI’s educational role, 63% reported positive experiences. Additionally, 62% viewed AI as essential for task automatization to boost work efficiency, crafting personalized care plans (45%), and early diagnosis of complications (39%). Vital skills identified for future professionals to effectively leverage AI encompass understanding AI (92%), technical knowledge (83%), communication skills (76%), critical thinking (69%), and emotional support (67%). It’s imperative to raise awareness about AI’s benefits to facilitate its integration into healthcare through training programs and communication initiatives. Despite AI’s potential to revolutionize nursing and midwifery practices, further research is necessary to ensure seamless integration.

Copyright
© 2025 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Download article (PDF)

<Previous Article In Volume
Next Article In Volume>
Volume Title
Proceedings of the E-Learning and Smart Engineering Systems (ELSES 2024)
Series
Atlantis Highlights in Social Sciences, Education and Humanities
Publication Date
20 June 2025
ISBN
978-2-38476-408-2
ISSN
2667-128X
DOI
10.2991/978-2-38476-408-2_7How to use a DOI?
Copyright
© 2025 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

risenwbib
TY  - CONF
AU  - Najat Boucetta
AU  - Hakima Seghir
AU  - Ghizlane Ghariz
AU  - Said Boubih
AU  - Mustafa El Alaoui
AU  - Rachid Janati Idrissi
PY  - 2025
DA  - 2025/06/20
TI  - The Learning Revolution: When Artificial Intelligence Transcends The Training Of Nurses And Midwives
BT  - Proceedings of the E-Learning and Smart Engineering Systems (ELSES 2024)
PB  - Atlantis Press
SP  - 73
EP  - 87
SN  - 2667-128X
UR  - https://doi.org/10.2991/978-2-38476-408-2_7
DO  - 10.2991/978-2-38476-408-2_7
ID  - Boucetta2025
ER  -