Exploring Knowledge, Attitudes, and Practices of Dental Hygiene Students Regarding Artificial Intelligence.
Purpose Artificial intelligence (AI) is increasingly used in health professions education, yet little is known about dental hygiene students' knowledge, attitudes, and practices related to AI. The purpose of this descriptive, cross-sectional program-based evaluation was to gather student input on kn...
| Publicado en: | Journal of Dental Hygiene Vol. 100; no. 2; pp. 33 - 45 |
|---|---|
| Autores principales: | , , , , |
| Formato: | research tables/charts Journal Article |
| Publicado: |
American Dental Hygienists Association
Apr2026
|
| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=192826607&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 192826607 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 1043254X 0CM jtl: Journal of Dental Hygiene issn: 1043254X maglogo: N pubinfo: dt: Apr2026 vid: 100 iid: 2 pid: 1936 pub: American Dental Hygienists Association place: Chicago, Illinois artinfo: ui: 192826607 192826607 192826607 192826607 ppf: 33 ppct: 12 formats: fmt: @attributes: type: P tig: atl: Exploring Knowledge, Attitudes, and Practices of Dental Hygiene Students Regarding Artificial Intelligence. aug: au: Hurlbutt, Michelle Turner, April M. Torabi, Jila Soderling, Fran Gerger, Debi affil: West Coast University, Dental Hygiene Program, Anaheim, CA, USA sug: subj: Students, Dental Hygiene Psychosocial Factors Education, Dental Hygiene Artificial Intelligence Integrated Curriculum Curriculum Development Professional Practice Evaluation Student Knowledge Evaluation Student Attitudes Evaluation Human Male Female Adolescence Adult Middle Age Students, Undergraduate Descriptive Research Cross Sectional Studies Comparative Studies Descriptive Statistics Data Analysis Software Questionnaires Program Evaluation One-Way Analysis of Variance Unpaired T-Tests Prospective Studies Inferential Statistics Machine Learning Oral Health Ethics, Professional Judgment Decision Making, Clinical Factor Analysis Models, Educational Student Satisfaction Clinical Competence Patient Centered Care Professional-Patient Relations Evidence-Based Dental Practice Adolescent: 13-18 years Adult: 19-44 years Middle Aged: 45-64 years Male Female ab: Purpose Artificial intelligence (AI) is increasingly used in health professions education, yet little is known about dental hygiene students' knowledge, attitudes, and practices related to AI. The purpose of this descriptive, cross-sectional program-based evaluation was to gather student input on knowledge, attitudes, and practices related to AI to guide curriculum integration planning. Methods A 38-item questionnaire was administered to 120 dental hygiene students across five different cohorts at a single institution. Descriptive and inferential statistics were used to analyze responses, with significance set at p<0.05. Results All students (N=120) completed the survey. mean knowledge score was 64.5% ± 1.39 with the highest mean observed among the most senior students (69% ± 1.3). Knowledge was strongest in machine learning approaches and in understanding AI's nature and limitations, and weakest in clinical application. Nearly 90% agreed that ethical concerns about AI deserve greater attention, while 19% felt comfortable with AI independently evaluating a patient's oral health. In practice, most reported using AI tools for academic learning such as summarizing course material (71%), whereas fewer used AI for creative applications such as image generation (23%). One-way ANOVA comparisons found no significant difference between cohorts in the knowledge domain (p> 0.05). Cohorts differed significantly in their attitudes about using AI responsibly in the clinical setting as well as their use of AI to study for tests and prepare study aids (p<0.05). Conclusion Students exhibited a basic understanding of AI but lacked depth in areas related to regulation and data quality. Attitudes were positive toward responsibility and ethics yet concerns about AI's impact on clinical judgment and patient care were observed. In practice, AI was used primarily for academic learning, less for creative tasks. Findings underscored the need for curricular strategies that ensure all students receive consistent preparation in ethical, practical, and responsible AI use. pubtype: Academic Journal doctype: research tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
|---|