Evidence map›Paper›PMID 39482671›Full record

ArticleBMC medical education2024

Pharmacy students' perception and knowledge of chat-based artificial intelligence tools at a Nigerian University.

Edidiong Orok, Chidera Okaramee, Bethel Egboro, Esther Egbochukwu, Khairat Bello, Samuel Etukudo, Mark-Solomon Ogologo, Precious Onyeka, Obinna Etukokwu, Mesileya Kolawole and 3 more

Abstract read
In one paragraph

Article in BMC medical education, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
–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.

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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

13 authors.

Edidiong OrokDepartment of Clinical Pharmacy and Public Health, College of Pharmacy, Afe Babalola University, Ado-Ekiti, Ekiti State, Nigeria. pharmorok@gmail.com.ORCID http://orcid.org/0000-0002-5273-1927
Chidera OkarameeCollege of Pharmacy, Afe Babalola University, Ado-Ekiti, Ekiti State, Nigeria.ORCID http://orcid.org/0009-0002-5725-168X
Bethel EgboroCollege of Pharmacy, Afe Babalola University, Ado-Ekiti, Ekiti State, Nigeria.ORCID http://orcid.org/0009-0006-3908-2498
Esther EgbochukwuCollege of Pharmacy, Afe Babalola University, Ado-Ekiti, Ekiti State, Nigeria.ORCID http://orcid.org/0009-0002-7267-2757
Khairat BelloCollege of Pharmacy, Afe Babalola University, Ado-Ekiti, Ekiti State, Nigeria.ORCID http://orcid.org/0009-0005-5847-0827
Samuel EtukudoCollege of Pharmacy, Afe Babalola University, Ado-Ekiti, Ekiti State, Nigeria.ORCID http://orcid.org/0009-0004-4155-8083
Mark-Solomon OgologoCollege of Pharmacy, Afe Babalola University, Ado-Ekiti, Ekiti State, Nigeria.ORCID http://orcid.org/0009-0001-0930-3580
Precious OnyekaCollege of Pharmacy, Afe Babalola University, Ado-Ekiti, Ekiti State, Nigeria.
Obinna EtukokwuCollege of Pharmacy, Afe Babalola University, Ado-Ekiti, Ekiti State, Nigeria.ORCID http://orcid.org/0000-0002-6184-7550
Mesileya KolawoleCollege of Pharmacy, Afe Babalola University, Ado-Ekiti, Ekiti State, Nigeria.ORCID http://orcid.org/0000-0001-6296-1315
Ameerah OrireCollege of Pharmacy, Afe Babalola University, Ado-Ekiti, Ekiti State, Nigeria.ORCID http://orcid.org/0009-0001-0121-9675
Inimuvie EkadaDepartment of Clinical Pharmacy and Public Health, College of Pharmacy, Afe Babalola University, Ado-Ekiti, Ekiti State, Nigeria.
Oluwole AkawaDepartment of Pharmaceutical and Medicinal Chemistry, College of Pharmacy, Afe Babalola University, Ado-Ekiti, Ekiti State, Nigeria.ORCID http://orcid.org/0000-0002-9893-0972

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundChat-based Artificial Intelligence (AI) tools, such as ChatGPT

methodA cross-sectional online survey was conducted from March to April 2024 among undergraduate pharmacy students, selected through random sampling. Student knowledge was categorised as good or poor while perception was grouped into positive or negative. Data analysis was conducted using Statistical Product and Service Solutions version 27.

resultsA total of 252 students participated in this study with the majority being female (72.2%). Most students (88%, n = 222) were familiar with chat-based AI tools, with ChatGPT

conclusionPharmacy students at ABUAD demonstrated good knowledge of chat-based AI tools and generally positive perceptions towards its use. The study underscores the need to integrate AI education into the pharmacy curriculum to address knowledge gaps and better prepare students for future technological advancements.

Indexed as

Artificial IntelligenceEducation, PharmacyStudents, PharmacyAdultCross-Sectional StudiesCurriculumFemaleHumansMaleNigeriaPerceptionSurveys and QuestionnairesUniversitiesYoung AdultArtificial intelligenceChat-based AI toolsNigeriaPharmacy educationStudent perception

Identifiers

PMID39482671
PMCPMC11526711

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.