Measuring the Impact of Artificial Intelligence Tools on Students' Productivity.pdf
A primary quantitative research study examining how AI tool usage influences academic productivity across three core dimensions: Time Efficiency, Error Reduction, and Academic Task Automation, conducted among 388 students in North Gujarat.
🎯 Research Objective
Most discussions around AI in education focus on ethics, adoption trends, or system design. This study shifts the focus to something more concrete:Â does AI actually make students more productive, and if so, through which mechanisms?
The study operationalizes student academic productivity into four measurable constructs and tests their relationship using multiple linear regression.
📋 Study Details
| Parameter | Details |
|---|---|
| Title | Measuring the Impact of AI Tools on Students' Productivity: A Study of Time Efficiency, Error Reduction, and Academic Task Automation |
| Institution | V.M. Patel College of Management Studies, Ganpat University |
| Program | BBA (Business Analytics) — Semester 6 |
| Academic Term | January – June 2026 |
| Supervisor | Prof. Haresh Oza |
| Sample Size | n = 388 |
| Geography | North Gujarat, India |
| Analysis Tool | SPSS |
🔬 Research Model
Dependent Variable
Independent Variables
Regression Equation:Â SAP = 0.490 + 0.121(TE) + 0.316(ER) + 0.060(ATA) + 0.382(PLS)