Mansi Bhat
Biographic Data
| ID | 9637269 |
|---|---|
| NAME | Mansi Bhat |
| GIVEN NAMES | Mansi |
| FAMILY NAME | Bhat |
| SIGNATURE | BHAT M |
| AFFILIATIONS | School of Public Policy Indian Institute of Technology Delhi New Delhi India |
| ORCID | 0009-0001-8525-8515 |
| VERIFIED | Yes |
| TOTAL WORKS | 2 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 2 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2025 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 0 |
Self‐Regulated Learning and Governance of AI in Higher Education
We examine how students in higher education respond to governance and self‐regulate AI use for learning within evolving institutional norms. Using a qualitative design and interviews with 25 students from three leading STEM universities in India, we analyse students' engagement with AI tools across regulatory—self‐regulation, co‐regulation, socially shared regulation, and top‐down regulation—and governance dimensions. Our findings indicate that s…
Gender equality in higher education—A call to action for universities and policy makers
The authors have no conflict of interest to declare in relation to this submission. The data that support the findings of this study are available from the corresponding author upon reasonable request
No prominent works on this page.
Gender equality in higher education—A call to action for universities and policy makers
The authors have no conflict of interest to declare in relation to this submission. The data that support the findings of this study are available from the corresponding author upon reasonable request
Self‐Regulated Learning and Governance of AI in Higher Education
We examine how students in higher education respond to governance and self‐regulate AI use for learning within evolving institutional norms. Using a qualitative design and interviews with 25 students from three leading STEM universities in India, we analyse students' engagement with AI tools across regulatory—self‐regulation, co‐regulation, socially shared regulation, and top‐down regulation—and governance dimensions. Our findings indicate that s…
Higher education (2 works) · Affirmative action (1 work) · Artificial Intelligence in Healthcare and Education (1 work) · Business (1 work) · Call to action (1 work) · Corporate governance (1 work) · Digital Education and Society (1 work) · Economic growth (1 work) · Economics (1 work) · Ethics and Social Impacts of AI (1 work)