AI as Study Tool Intention
EducationReliability: alpha 0.923 sample items
About this scale
A multi-item measure of student intention to use AI as a study tool — for explanation, summarization, practice questions, and concept-checking.
Sample item(s)
“I plan to use AI to explain difficult concepts in my courses”
“I intend to use AI to generate practice questions for exam preparation”
“I will use AI to summarize readings I find difficult”
Reliability
Reported internal consistency: alpha 0.92. As a rule of thumb, Cronbach’s α ≥ .70 is considered acceptable, ≥ .80 good, and ≥ .90 excellent for established measures.
Notes
Tied to expectancy-value theory; complements UTAUT2-adapted ChatGPT acceptance.
Source & citation
Chan, C. K. Y., & Zhou, W. (2023): An expectancy value theory (EVT) based instrument for measuring student perceptions of generative AI. Smart Learning Environments, Vol. 10, Article 64.
Chan & Zhou (2023): EVT-based GenAI instrument. SLE, 10, 64.
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.
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