Contact
Email: [email protected]
Phone: +1 (646) 479 1287
LinkedIn: erva-nihan-kandemir
Google Scholar: Profile
GitHub: ervanihank
Curriculum Vitae
Erva Nihan Kandemir, PhD
Postdoctoral Fellow working across learning analytics, education leadership, learning technologies, and large-scale data analysis.
Focus Areas
- Learning Analytics
- Education Leadership
- Learning Technologies
- Big Data Analysis
Education
Postdoctoral Fellow
Teachers College, Columbia University, New York, USA
PhD in Cognitive Science
CNRS and Ecole Normale Superieure - PSL, Paris, France
Master's in Cognitive Science, High Honor
ENS-PSL and Universite de Paris Cite, Paris, France
Bachelor's in Psychology, High Honor
Middle East Technical University, Ankara, Turkey
Minor Degree in Biology
Middle East Technical University, Ankara, Turkey
Research Experience
Postdoctoral Fellow
- Supports evaluation and research on state-level education systems and public data infrastructures.
- Processes large-scale quantitative datasets to examine alignment, equity, and performance indicators.
- Contributes to technical reports and policy-facing dissemination materials.
Visiting Research Affiliate
PhD Researcher, Evaluation of Digital Learning Systems
- Designed large-scale experimental and quasi-experimental studies within digital medical training platforms.
- Conducted systematic reviews and a peer-reviewed meta-analysis on instructional effectiveness.
- Analyzed behavioral, survey, and platform log data using mixed-method approaches.
Master's Research in Perceptual Decision-Making
Publications
- Kandemir, E. N., Gurgand, L., Esposito, E., & Ramus, F. (2026). A Meta-Analysis of the Impact of Feedback Timing on Learning Outcomes in Computer-Assisted Learning. Educational Psychology Review, 38, 13. https://doi.org/10.1007/s10648-026-10117-8
- Kandemir, E. N., Vie, J. J., Sanchez-Ayte, A., Palombi, O., & Ramus, F. (2026). Investigating the Influence of Training Difficulty on the Learning Outcomes of Medical Students. Journal of Computer Assisted Learning, 42(1), e70172. https://doi.org/10.1002/jcal.70172
- Kandemir, E. N., Vie, J. J., Sanchez-Ayte, A., Palombi, O., & Ramus, F. (2024, March). Adaptation of the Multi-Concept Multivariate Elo Rating System to Medical Students' Training Data. Proceedings of the 14th Learning Analytics and Knowledge Conference. https://doi.org/10.1145/3636555.3636858