Attitudes towards Utilization of Artificial Intelligence (AI) among Radiologic Technology Students
Sean Carl Agaton
*
Iloilo Doctors’ College, College of Radiologic Technology, West Avenue, Molo, Iloilo City, Philippines.
John Paul Escalera
Iloilo Doctors’ College, College of Radiologic Technology, West Avenue, Molo, Iloilo City, Philippines.
Le’ Anne Jingco
Iloilo Doctors’ College, College of Radiologic Technology, West Avenue, Molo, Iloilo City, Philippines.
Kimberly Palma
Iloilo Doctors’ College, College of Radiologic Technology, West Avenue, Molo, Iloilo City, Philippines.
Christabel Puig
Iloilo Doctors’ College, College of Radiologic Technology, West Avenue, Molo, Iloilo City, Philippines.
Vanessa Irish Villaruel
Iloilo Doctors’ College, College of Radiologic Technology, West Avenue, Molo, Iloilo City, Philippines.
Larry Jumilla
Iloilo Doctors’ College, College of Radiologic Technology, West Avenue, Molo, Iloilo City, Philippines.
*Author to whom correspondence should be addressed.
Abstract
Background and Objectives: As artificial intelligence becomes a groundbreaking development in the modern world, understanding students’ perception towards its utilization helps identify its positive and negative effects on their academic performance. Limited research has specifically examined the attitudes towards the utilization of artificial intelligence among Radiologic Technology students in a private institution. This study aimed to determine the attitude and the utilization of AI by Radiologic Technology students at a private institution in Iloilo City.
Methods: Data were generated from in-depth questionnaire and analyzed through the lens of self-determination theory. Descriptive statistics was applied to portray the demographics and professional traits of the study population and inferential statistics was utilized to evaluate the hypotheses and studied correlations among the variables.
Results: It is found out that 100% of the respondents are exposed to utilization of AI. Eight out of ten students have been using AI on a daily basis (82.40%), Furthermore, most respondents were using their cellphones to access AI tools (92.80%). However, few of the students had a prior orientation in utilization of AI (27.40%) seven out of ten respondents do have no prior orientation on using AI (72.60%). Lastly, most of the respondents have only moderate familiarity with AI uses (72.60%). Radiologic technology students have a positive attitude toward Artificial Intelligence positivity increasing by year level—from first year to fourth year students. It’s rejected the null hypothesis (Ho). Thus, it indicates that there is a high significant correlation between attitude toward AI and AI utilization.
Conclusion: It is concluded with regards to attitudes towards the utilization of artificial intelligence, that radiologic technology students showed a highly positive attitude whereas they perceiving to as a useful tool in integrating into their academic performance and future practice, also the respondent exhibit a balance perspective, and are committed in upholding the professional responsibility while embracing the potential of innovative efficiency of this AI.
Keywords: Radiologic technology, artificial intelligence, attitudes in academic, AI utilization, student perceptions