<?xml version="1.0" encoding="UTF-8"?>
<records>
<record>
<language>eng</language>
<publisher>Science and Education Publishing</publisher>
<journalTitle>American Journal of Educational Research</journalTitle>
<eissn>2327-6150</eissn>
<publicationDate>2025-10-08</publicationDate>
<volume>13</volume>
<issue>9</issue>
<startPage>438</startPage>
<endPage>444</endPage>
<doi>10.12691/education-13-9-4</doi>
<publisherRecordId>EDUCATION20251394</publisherRecordId>
<documentType>article</documentType>
<title language="eng">Perceived AI ¨C Tools Proficiency and Skill among Higher Education Science Major Students</title>
<authors>
<author>
<name>Rene K. Abejaron Jr</name>
<email>Corresponding author: reneabejaron@srcb.edu.ph</email>
<affiliationId>1</affiliationId>
</author>
</authors>
<affiliationsList>
<affiliationName affiliationId="1">Teacher Education Program, St. Rita¡¯s College of Balingasag, Inc., Misamis Oriental, Philippines</affiliationName>

</affiliationsList>
<abstract language="eng">This study examined undergraduate science majors¡¯ perceptions of AI tools (including ChatGPT), their own AI proficiency, and instructors¡¯ AI proficiency at St. Rita¡¯s College of Balingasag during the 2024¨C2025 academic year. Data were collected using a 30-item Synthetic Index of Use of Artificial Intelligence Tools (pilot Cronbach¡¯s ¦Á = .96¨C.98) and summarized with descriptive statistics. Students perceived AI tools as effective for comprehension (M = 3.19), problem solving (M = 3.16), and productivity (M = 3.06), but less effective for creativity (M = 2.80) and broader educational enhancement (M = 2.87). Self-rated proficiency was proficient for prompt formulation (M = 3.03) and basic problem solving (M = 2.87), but developing for advanced features (¡Ö M = 2.68) and higher-order tasks such as evaluating AI outputs (M = 2.74) and applying AI feedback (M = 2.80). Students also perceived instructors¡¯ integration of AI tools as limited. These findings indicate practical benefits alongside gaps in creativity, advanced student skills, and faculty implementation. Recommendations include scaffolded, discipline-specific AI training, sustained faculty development, and clear ethical use policies.</abstract>
<fullTextUrl format="pdf">https://pubs.sciepub.com/education/13/9/4/education-13-9-4.pdf</fullTextUrl>
<keywords language="eng"><keyword>AI tools</keyword>
<keyword>ChatGPT</keyword>
<keyword>AI proficiency</keyword>
<keyword>higher education</keyword>
<keyword>student perceptions</keyword>
<keyword>science major students</keyword>
</keywords>
</record>
</records>
