Related Experiment Videos
Development and Validation of AI Help-Seeking Behavior Scale Among Undergraduate University Students
Othman A Alfuqaha1, Rasha M Abdelrahman1,2, Kyle Msall1
1Psychology Department, Faculty of Humanities and Sciences, Ajman University, Ajman 346, United Arab Emirates.
Summary
A new scale measures Artificial Intelligence-help-seeking behavior (AI-HSB) among university students. This tool validates AI-based psychological coping strategies and aids researchers globally.
Area of Science:
- Psychology
- Artificial Intelligence
- Educational Technology
Background:
- Artificial intelligence (AI) is increasingly used by students for academic and psychological support.
- Existing scales for AI-help-seeking behavior (AI-HSB) are limited.
- A need exists for a reliable, bilingual tool to measure AI-HSB.
Purpose of the Study:
- To develop and validate a new bilingual (Arabic and English) scale to assess AI-HSB.
- To provide a reliable tool for researchers studying AI's role in student well-being.
Main Methods:
- Methodological cross-sectional design.
- Development, translation, and validation of the AI-HSB scale.
- Data collected from 416 undergraduate students in the UAE via online survey.
Main Results:
- A 13-item, two-factor AI-HSB scale demonstrated strong factorial validity, reliability, and construct validity.
- The two factors explained 58% of the total variance.
- Confirmatory factor analysis confirmed the two-factor structure with excellent goodness-of-fit indices (>0.90).
Conclusions:
- The AI-HSB scale is a valid and reliable instrument for assessing AI-based psychological help-seeking behavior in university students.
- This scale can inform universities, counselors, and policymakers about AI utilization for psychological coping.