Attitudes Toward AI in Education
EducationReliability: alpha 0.903 sample items
About this scale
A multi-item measure of students' and educators' attitudes toward AI tools (e.g., ChatGPT, AI tutors, automated grading) in higher education, including perceived usefulness, fairness, and ethical concerns.
Sample item(s)
“AI tools improve my learning experience.”
“It is fair for instructors to use AI to grade student work.”
“Using AI to write parts of an assignment is acceptable. (reverse for academic-integrity outcomes)”
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
Highly relevant in the post-2022 ChatGPT era of higher education.
Source & citation
Chan, C. K. Y., & Hu, W. (2023): Students' voices on generative AI: Perceptions, benefits, and challenges in higher education. International Journal of Educational Technology in Higher Education, Vol. 20, Article 43.
Chan & Hu (2023): Students' voices on generative AI. IJETHE, 20, 43.
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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