Evidence map›Paper›PMID 42121181›Full record

ArticleBMC medical education2026

Generative AI and knowledge management in health education: a cross-sectional study of students' digital literacy and attitudes from a developing-country context.

Ermira Krasniqi, Adea Kasumi, Arjeta Kuçi, Elda Murić, Elsa Ahmeti, Laura Naka, Arben Boshnjaku

Abstract read
In one paragraph

Article in BMC medical education, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

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3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Ermira KrasniqiFaculty of Pharmacy, Alma Mater Europaea Campus College Rezonanca, Prishtina, Kosovo.
Adea KasumiFaculty of Pharmacy, Alma Mater Europaea Campus College Rezonanca, Prishtina, Kosovo.
Arjeta KuçiFaculty of Medicine, University "Fehmi Agani" in Gjakova, Ismail Qemali, n.n., Gjakova, 50000, Kosovo.
Elda MurićFaculty of Medicine, University "Fehmi Agani" in Gjakova, Ismail Qemali, n.n., Gjakova, 50000, Kosovo.
Elsa AhmetiFaculty of Pharmacy, Alma Mater Europaea Campus College Rezonanca, Prishtina, Kosovo.
Laura NakaFaculty of Education, University "Fehmi Agani" in Gjakova, Gjakova, Kosovo.
Arben BoshnjakuFaculty of Medicine, University "Fehmi Agani" in Gjakova, Ismail Qemali, n.n., Gjakova, 50000, Kosovo. arbenboshnjaku@gmail.com.ORCID http://orcid.org/0000-0003-4343-9366

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundGenerative artificial intelligence (AI) is rapidly transforming higher education and digital learning. However, a scarcity of information remains regarding the students' perspectives on AI's role in education. We investigated AI-related knowledge, use, and attitudes among entry-level healthcare students in Kosovo.

methodsCross-sectional online survey (June-August 2025) of entry-level students from two institutions (≈ 700 invited; N = 302; response 43.1%). Analyses used χ² with Cramér's V, and Kruskal-Wallis with ε²; α = 0.05.

resultsChatGPT was reported as the primary AI instrument (84.2%). 74.8% of participants perceived AI integration positively, 77.2% supported curricular integration, and its ability to facilitate access to information was 91.4%. Interest in AI training was as high as 71.2%, whereas major concerns included error risks (29.5%) and reduced creativity (29.0%). Program differences were observed for faculty use of AI-assisted materials (p = 0.006; Cramér's V = 0.20), AI-training opportunities (p = 0.037; V = 0.17), and institutional AI-tool provision (p = 0.032; V = 0.151); self-rated AI knowledge did not differ (p = 0.274; ε²=0.003).

conclusionsFindings indicate general positivity towards AI, alongside concerns regarding unequal access and limited formal training. These findings underscore the importance of integrating generative AI within e-learning strategies, strengthening students' digital literacy, and ensuring institutional support in developing country settings.

Indexed as

Generative Artificial IntelligenceHealth EducationHealth Knowledge, Attitudes, PracticeAdultCross-Sectional StudiesCurriculumDeveloping CountriesFemaleHumansMaleSurveys and QuestionnairesYoung AdultArtificial intelligenceDeveloping countriesDigital literacyGenerative AIHealth educationHigher education

Identifiers

PMID42121181
PMCPMC13335140

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.