Published on December 2025 | Artificial Intelligence, Higher Education, Learning, Teaching Strategies, Literacy

Student attitudes toward AI: The influence of AI literacy and self-efficacy among allied health students
Authors: John Mark R. Asio, Maria Sandra C. Rivera, Claire I. Cruz, April Joyce L. Dela Cruz, Victor C. Quimen, Jr.
View Author: Dr. John Mark R. Asio
Journal Name: Journal of Allied Health Sciences & Medical Research
Volume: 1 Issue: 4 Page No: 78-94
Indexing: Google Scholar,DOAJ
Abstract:

In the 21st century of learning, Artificial Intelligence (AI) has already immersed itself into the process. AI in education is a new trend that students are still quite unaware of its potential and capacity as a tool for learning. This study investigated the attitude toward AI, AI literacy, and AI self-efficacy among allied health students from a higher education institution in Olongapo City, Philippines. A quantitative-correlation design was the research method employed by the study. A total of 324 conveniently chosen allied health participants took the online survey during the academic year of 2024-2025. The study also used a modified research instrument to gather data. The collected data underwent statistical analysis using Statistical Package for Social Sciences (SPSS) 23. Results show that the student attitude toward AI, the AI literacy, and the AI self-efficacy yielded a moderate mean score. At the same time, significant differences were observed for the student attitude toward AI (age, year level, and Use of AI) and AI self-efficacy (sex and use of AI). Additionally, there was a significant relationship between student attitude toward AI, AI literacy, and AI self-efficacy. Linear regression analysis confirmed that both AI literacy and AI self-efficacy predict the student attitude toward AI. The study concluded that students' attitudes toward AI can be predicted by AI literacy and AI self-efficacy among allied health students.

Download PDF
View Author/Co-Author
Copyright © 2026 All rights reserved