Dr. Tuba Ketenci

Instructor

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Biography

Tuba Ketenci is a Senior Academic Professional at the H. Milton Stewart School of Industrial and Systems Engineering at Georgia Institute of Technology. She earned her Ph.D. in Educational Technology with a minor in Quantitative Methodologies from Georgia State University in 2018, alongside an M.A. in Educational Studies from Edgewood College in 2011. Additionally, she holds a B.S. in Computer Science and a B.A. in Business Administration from Bilgi University in Istanbul, Turkey. Her areas of expertise include instrument development, social network analysis, and quantitative methods in educational research, with a concentration on Hierarchical Linear Modeling and Structural Equation Modeling. Her research primarily aims to enhance K-12 engineering education, focusing on curriculum improvement and the development of assessments that foster computational thinking in technology-enhanced learning environments. As part of her graduate studies, she directed research to evaluate the impact of engineering curriculum on students’ development of 21st-century skills, and she is actively involved in a research group that examines social network analysis to understand leadership dynamics in online education settings.

Research Interests

Experience

Director Educational Outreach

2018-01-01 — Present

Georgia Institute of Technology • Atlanta, GA

Leading initiatives to enhance educational outreach and engagement in engineering education.

Requirements for Georgia Institute of Technology

Doctorate Program
Requirements
GPA Requirement
Required:3.5
TOEFL
Listening
Required:19
Reading
Required:19
Writing
Required:19
Speaking
Required:19
Total
Required:100
IELTS
Listening
Required:6.5
Reading
Required:6.5
Writing
Required:5.5
Speaking
Required:6.5
Overall
Required:7.5
Prerequisites
Undergraduate degree in computer science or related field
Application Checklist
  • Online application
  • Official transcripts
  • Three letters of recommendation
  • Statement of Purpose
Specialization Notes

Department of Computer Science: GRE scores are optional for Fall 2026.