AI Learning Self-Efficacy
EducationReliability: alpha 0.903 sample items
About this scale
A multi-item measure of student confidence in using AI tools to support their learning — including question generation, summarization, and self-quizzing.
Sample item(s)
“I am confident I can use AI to help me understand difficult course material”
“I can use AI tools to study for exams effectively”
“I know how to use AI to improve my writing”
Reliability
Reported internal consistency: alpha 0.90. As a rule of thumb, Cronbach’s α ≥ .70 is considered acceptable, ≥ .80 good, and ≥ .90 excellent for established measures.
Notes
Particularly relevant in higher-education research post-2022.
Source & citation
Chiu, T. K. F., Xia, Q., Zhou, X., Chai, C. S., & Cheng, M. (2023): Systematic literature review on opportunities, challenges, and future research recommendations of artificial intelligence in education. Computers and Education: Artificial Intelligence, Vol. 4, Article 100118.
Chiu, Xia, Zhou, Chai & Cheng (2023): AI in education review. CAEAI, 4, 100118.
Source. Scale details are summarised from the publication cited above. Always consult the original source for the full item set, scoring, and permission to use.
Use it in your research
Need to check the reliability or psychometrics of this scale in your own data? Use the free DrAIStudio research tools:
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