Rasch Variable Mapping: The Attitude towards Artificial Intelligence Scale
Location
Boston 1
Session Format
Presentation
Abstract
Within education, attitudes towards Artificial Intelligence are rapidly evolving. A sound scale is needed to measure current attitude and investigate change. This work describes the developmental process, Rasch calibration and current validity evidence of a new affective assessment measuring attitude towards AI. Special attention is dedicated to the alignment of persons and items within the variable map.
Keywords
Artificial Intelligence, Rasch Measurement, Variable Map
Professional Bio
Amanda Ferster, PhD is a Senior Lecturer within the Quantitative Methods focus area of Educational Psychology at the University of Georgia. Her research interests include explanatory IRT and the intersection of assessment and cognition.
Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 License.
Recommended Citation
Ferster, Amanda E., "Rasch Variable Mapping: The Attitude towards Artificial Intelligence Scale" (2026). Georgia Educational Research Association Conference. 36.
https://digitalcommons.georgiasouthern.edu/gera/2026/2026/36
Rasch Variable Mapping: The Attitude towards Artificial Intelligence Scale
Boston 1
Within education, attitudes towards Artificial Intelligence are rapidly evolving. A sound scale is needed to measure current attitude and investigate change. This work describes the developmental process, Rasch calibration and current validity evidence of a new affective assessment measuring attitude towards AI. Special attention is dedicated to the alignment of persons and items within the variable map.
