| Year | Citation |
|---|---|
| 2023 | Allen, K. A., Gallo, Cordoba., Ryan, T., Arslan, G., Slaten, C. D., Ferguson, J. K., Bozoglan, B., Abdollahi, A., & Vella-Brodrick, D. (230901). Examining predictors of school belonging using a socio-ecological perspective. Journal of Child and Family Studies, 32(9), (2804-2819). |
| 2022 | Selwyn, N., & Gallo, Cordoba. (221201). Australian public understandings of artificial intelligence. AI and Society, 37(4), (1645-1662). |
| 2022 |
Yan, L., Martinez-Maldonado, R., Gallo, Cordoba., Deppeler, J., Corrigan, D., & Gasevic, D. (221101). Mapping from proximity traces to socio-spatial behaviours and student progression at the school. British Journal of Educational Technology, 53(6), (1645-1664). doi: 10.1111/bjet.13203 |
| 2022 | Wong, D., Allen, K. A., & Gallo, Cordoba. (221001). Examining the relationship between student attributional style, perceived teacher fairness, and sense of school belonging. Contemporary Educational Psychology, 71 |
| 2022 | Gallo, Cordoba., Leckie, G., & Browne, W. J. (220801). Decomposing Ethnic Achievement Gaps across Multiple Levels of Analysis and for Multiple Ethnic Groups. Sociological Methodology, 52(2), (162-192). |
Key details
Areas of expertise
- Quantitative methods and analysis
- Educational and social inequality
- Education systems and policy
Available to supervise research students
Not available for media queries
About Beatriz Gallo cordoba
Dr Beatriz Gallo Cordoba is a Senior Research Fellow in the Centre for International Research on Education Systems (CIRES), Mitchell Institute.
She completed her PhD in Advanced Quantitative Methods for Social Science and Health at the University of Bristol, UK. Before joining CIRES, Beatriz worked as Research Fellow – Quantitative Data/Statistics at the Centre for Youth Policy and Education Practice, Monash University.
Beatriz's research focuses on the study of disadvantage, how to measure and model it to acknowledge that this is a problem with multiple dimensions and levels. Beatriz has over 12 years of experience in the use of large administrative and survey data and statistical analysis techniques such as multilevel modelling to find evidence about inequality between groups and the potential implications for equity. This has included analysis of large-scale administrative data from standardised national exams such as NAPLAN data in Australia and its equivalent in Colombia. Beatriz has published in a number of high-quality peer-reviewed journals and public-facing reports.
Qualifications
- PhD, University of Bristol, United Kingdom, 2019
Key publications
Journal article (showing 5 of 18)
Research funding for the past 5 years
Please note:
- Funding is ordered by the year the project commenced and may continue over several years.
- Funding amounts for contact research are not disclosed to maintain commercial confidentiality.
- The order of investigators is not indicative of the role they played in the research project.
2023
|
Sampling framework support : Kindergarten programs (Victorian Department of
Education - RFQ 14 Aug 2023)
From: Department of Education and Training, Victoria
Other investigators: Mr Andrew Wade
For period: 2023-2023
|
Not disclosed |
|
Continuous Improvement Framework (CIF)– updated
Victorian TAFE reports 2023 - Victorian Department of Jobs, Skills, Industry,
and Regions (formerly Victorian Skills Authority-VSA)
From: Department of Jobs, Skills, Industry and Regions
Other investigators: Dr Shuyan Huo, Mr Andrew Wade
For period: 2023-2024
|
Not disclosed |
2021
|
Evaluation of Disability Inclusion
From: Disability Inclusion Evaluation Purchase Order with the Victorian Department of Education and Training
Other investigators: Ms Esther Doecke, Dr Yuan Gao, Dr Shuyan Huo, Ms Anne Walstab, Mr Andrew Wade
For period: 2021-2024
|
Not disclosed |
Supervision of research students at VU
Available to supervise research students
Not available for media queries
Other supervision of research students
External supervisor for two PhD students at Monash Education.
Professional memberships
- Ordinary Member, Ordinary Member
