Complete Schedule
Presentation Type
Open Access Poster Presentation
Abstract
This study examines how college students use AI tools for academic purposes and how usage patterns influence willingness to pay for premium AI services. Using survey data from 75 students at the University of Northern Iowa, results show that perceived value of AI tools is the strongest and most consistent predictor of willingness to pay. Academic AI usage frequency predicts short-term subscription intent, while academic workload and employment hours are not statistically significant predictors. These findings indicate that AI companies should prioritize premium features that clearly improve academic productivity and performance.
Start Date
13-4-2026 11:00 AM
End Date
13-4-2026 11:50 AM
Faculty Advisor
Jiuqing Cheng
Department
MBA Program
Student Type
Graduate Student
Copyright
©2026 Haley Ceruzzi, Tucker Langenberg, Mojtaba Alfardan, and Jiuqing Cheng
File Format
application/pdf
File Size
755 KB
Recommended Citation
Ceruzzi, Haley; Langenberg, Tucker; Alfardan, Mojtaba; and Cheng, Jiuqing, "Academic AI Use and Willingness to Pay for Premium Subscriptions" (2026). INSPIRE Student Research and Engagement Conference. 76.
https://scholarworks.uni.edu/csbsresearchconf/2026/all/76
Academic AI Use and Willingness to Pay for Premium Subscriptions
This study examines how college students use AI tools for academic purposes and how usage patterns influence willingness to pay for premium AI services. Using survey data from 75 students at the University of Northern Iowa, results show that perceived value of AI tools is the strongest and most consistent predictor of willingness to pay. Academic AI usage frequency predicts short-term subscription intent, while academic workload and employment hours are not statistically significant predictors. These findings indicate that AI companies should prioritize premium features that clearly improve academic productivity and performance.
