Evidence map›Paper›PMID 40386172›Full record

ArticleSAGE open nursing

Nursing Educators' Perspectives on the Integration of Artificial Intelligence Into Academic Settings.

Moustaq Karim Khan Rony, Sumon Ahmad, Sabren Mukta Tanha, Dipak Chandra Das, Mosammat Ruma Akter, Mst Amena Khatun, Most Hasina Begum, Md Ibrahim Khalil, Umme Rabeya Peu, Mst Rina Parvin and 2 more

Abstract read
In one paragraph

Article in SAGE open nursing. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed, 2 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

14 citing papers in PubMed, 2 syntheses or guidelines pooled it.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

12 authors.

Moustaq Karim Khan RonyMiyan Research Institute, International University of Business Agriculture and Technology, Dhaka, Bangladesh.ORCID https://orcid.org/0000-0002-6905-0554
Sumon AhmadDepartment of Public Health, Leading University, Sylhet, Bangladesh.ORCID https://orcid.org/0009-0006-6434-9684
Sabren Mukta TanhaDepartment of Public Health, Leading University, Sylhet, Bangladesh.ORCID https://orcid.org/0009-0008-5805-9642
Dipak Chandra DasDepartment of Social Science in Sociology & Anthropology, Shanto-Mariam University of Creative Technology, Dhaka, Bangladesh.ORCID https://orcid.org/0009-0001-0566-8822
Mosammat Ruma AkterDepartment of Science in Nursing, National Institute of Advanced Nursing Education and Research Mugda, Dhaka, Bangladesh.ORCID https://orcid.org/0009-0005-2602-4304
Mst Amena KhatunCollege of Nursing, TMSS Nursing College, Bogura, Bangladesh.ORCID https://orcid.org/0009-0003-7323-0579
Most Hasina BegumDepartment of Science in Nursing, National Institute of Advanced Nursing Education and Research Mugda, Dhaka, Bangladesh.ORCID https://orcid.org/0009-0007-1737-362X
Md Ibrahim KhalilInstitute of Social Welfare and Research, University of Dhaka, Dhaka, Bangladesh.ORCID https://orcid.org/0009-0007-7882-5538
Umme Rabeya PeuCollege of Nursing, Chattogram Imperial College of Nursing, Chattogram, Bangladesh.ORCID https://orcid.org/0009-0000-6160-552X
Mst Rina ParvinArmed Forces Nursing Service, Combined Military Hospital, Dhaka, Bangladesh.ORCID https://orcid.org/0000-0003-0111-6163
Daifallah M AlrazeeniDepartment Prince Sultan Bin Abdul Aziz College for Emergency Medical Services, King Saud University, Riyadh, Saudi Arabia.ORCID https://orcid.org/0000-0002-8149-8650
Fazila AkterDepartment of Health and Functioning, Western Norway University of Applied Sciences, Bergen, Norway.ORCID https://orcid.org/0009-0009-5887-8370

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The integration of artificial intelligence (AI) into education has the potential to revolutionize teaching and learning practices, especially in nursing education, which combines theoretical and practical knowledge. However, challenges such as infrastructural limitations, ethical considerations, and a lack of educator preparedness hinder its widespread adoption in settings with limited access to technology, insufficient funding, and inadequate training opportunities for educators. Aims: This study explores nursing educators' perspectives on integrating AI into academic settings. Methods: Using the Technological Pedagogical Content Knowledge framework, this qualitative study employed a phenomenological approach to understand nursing educators' lived experiences. Data were collected through 14 semistructured interviews and three focus group discussions with 16 participants from three nursing colleges in Bangladesh. Thematic analysis was conducted to identify key insights and trends. Results: Nursing educators recognized the potential of AI tools, such as adaptive learning platforms, virtual simulations, and predictive analytics, to enhance teaching efficiency, personalize learning, and engage students. However, barriers such as insufficient training, infrastructural challenges, and ethical concerns related to data privacy, algorithmic bias, and AI-driven decision making were highlighted. Thematic analysis revealed five major themes: (1) perceived benefits of AI, (2) barriers to AI integration, (3) ethical considerations in AI use, (4) educator readiness and adaptation, and (5) AI as a tool for personalized learning. Many educators expressed a need for professional development and institutional support to effectively integrate AI technologies. Strategies for overcoming these challenges included targeted training programs, ethical guidelines, and addressing disparities in resource distribution. Conclusions: AI holds transformative potential for nursing education, offering opportunities to enhance teaching and learning. However, its effective integration requires addressing educators' readiness, ethical challenges, and resource limitations. These findings underscore the importance of equipping nursing educators with the necessary competencies to prepare future nurses for AI-enhanced clinical environments, thereby bridging education with evolving healthcare practice.

Indexed as

artificial intelligenceethicshealth educatorsnursing educationtechnology

Identifiers

PMID40386172
PMCPMC12084691

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.