Date of Completion

2025

Document Type

Thesis

Degree Name

Bachelor of Science in Radiologic Technology

Keywords

Attitudes and intentions, radiologic technology students, AI-powered assistants in

Abstract

This study explored the attitudes and intentions of radiologic technology students at De La Salle Medical and Health Sciences Institute toward using AI-powered assistants in their academic requirements. Guided by the Technology Acceptance Model (TAM), the research measured perceived usefulness and ease of use as determinants of students' attitudes and intentions. The researchers implemented a correlational research design. Using an adapted survey instrument distributed to first- to third-year students and treated using frequency, percentage, mean, standard deviation, t-test, ANOVA, and regression analysis. Findings suggest that the majority of the respondents are female and are mostly in their first year. The results reveal that the students exhibit a very positive attitude and a high intention to use AI-powered assistants in their academic tasks. There are no significant differences in both the attitude and intention of the respondents to use AI-powered assistants when grouped according to sex and year level. However, a significant positive relationship was found between the students’ attitude and their intention to use AI-powered assistants, indicating that the more favorable their attitude is, the more likely they are to use said assistants.

First Advisor

Cheyen E. Molon

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