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Developing self-regulated artificial intelligence learning (SRAIL) Student Attitudes Scale
1Hacettepe University, Primary Education, Ankara, Turkey.
Acta Psychologica
|July 4, 2025
Summary
Researchers developed a new scale to measure children's attitudes toward using artificial intelligence (AI) in self-regulated learning (SRL). The 17-item scale shows high validity and reliability for assessing AI integration in education.
Area of Science:
- Educational Psychology
- Artificial Intelligence in Education
- Measurement and Evaluation
Background:
- Self-regulated learning (SRL) is crucial for academic success.
- Integrating artificial intelligence (AI) offers new avenues for enhancing SRL.
- A validated scale is needed to measure students' perceptions of AI in SRL.
Purpose of the Study:
- To develop and validate a scale measuring students' attitudes towards AI integration in SRL.
- To assess the reliability and construct validity of the proposed scale.
Main Methods:
- The study involved 250 children from Ankara, Turkey.
- Exploratory Factor Analysis (EFA) and Confirmatory Factor Analysis (CFA) were employed.
- Scale development involved item analysis and reliability testing using Composite Reliability Index (CRI).
Main Results:
- A 17-item scale with two dimensions was developed: Academic Success (9 items) and Study Style (8 items).
- The scale demonstrated high validity and reliability, with a CRI of .86.
- Factor analysis confirmed the two-dimensional structure of the scale.
Conclusions:
- The developed scale is a valid and reliable instrument for measuring attitudes towards AI in SRL.
- The findings support the use of AI tools to enhance academic success and study habits.
- Further implementation across diverse populations and age groups is recommended.
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