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

2025 - Present

Postdoctoral Fellow

Teachers College, Columbia University, New York, USA

2022 - 2025

PhD in Cognitive Science

CNRS and Ecole Normale Superieure - PSL, Paris, France

PhD Dissertation

2016 - 2020

Bachelor's in Psychology, High Honor

Middle East Technical University, Ankara, Turkey

2016 - 2020

Minor Degree in Biology

Middle East Technical University, Ankara, Turkey

Research Experience

2025 - Present

Postdoctoral Fellow

Education Leadership Data Analytics Research Group, Teachers College, Columbia University

Advisor: Alex J. Bowers

  • 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.
2022 - 2025

Visiting Research Affiliate

Cognitive Development Lab, New York University

Host: Andrei Cimpian

2022 - 2025

PhD Researcher, Evaluation of Digital Learning Systems

CNRS and Ecole Normale Superieure - PSL, Paris

Advisor: Franck Ramus

PhD Dissertation

  • 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.
2021 - 2022

Master's Research in Perceptual Decision-Making

Laboratory of Perceptual Systems, ENS-PSL, Paris

Advisor: Pascal Mamassian

M1 Dissertation | M2 Dissertation

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

Teaching and Supervision

2023 - 2024, 2022 - 2023

Teaching Assistant, DATA 201

Master's Program in Cognitive Science, ENS-PSL and Universite de Paris Cite

2023 - 2024

Master's Thesis Supervisor

ENS-PSL, Cognitive Science

Skills

Methods and Evaluation

Mixed methods, evidence synthesis, experimental and quasi-experimental design, quantitative and qualitative analysis, survey design, policy analysis

Data and Tools

R, Python, MATLAB, SPSS, statistical modeling, data cleaning, machine learning, Qualtrics, LaTeX, Figma, Canva

Languages

English, French, Turkish

Awards and Scholarships

2022 - 2023

Winner, Challenge Tocqueville 2023

National competition on social innovation, awarded first place for a project on equal opportunity in education.

2020 - 2022

French Embassy and TEV Joint Scholarship

2016 - 2020

TEV Scholarship and High Honor Distinction

Service and Leadership

2024 - 2025

Ad hoc Reviewer

Journal of Computer Assisted Learning

2023 - 2025

Vice Treasurer, DEC-Life

2022 - 2023

President, DEC-Life