Okan Bulut, PhD, MA, BA

/oʊkɒ̃n boʊloot/

Professor, Faculty of Education

Pronouns: he, him, his

Personal Website: https://www.okanbulut.com

Curriculum Vitæ

Contact Overview Courses Publications Links

Contact

Professor, Faculty of Education

Email: bulut@ualberta.ca
Phone: (780) 492-3668
Address: 6-110C Education Centre - North
8730 - 112 St NW

Edmonton AB

T6G 2G5

Overview

Area of Study / Keywords

educational data mining learning analytics artificial intelligence digital assessments educational measurement psychometrics data science

About

Okan Bulut is a professor at the University of Alberta Faculty of Education’s Measurement, Evaluation, and Data Science program where he teaches courses on computational psychometrics and machine learning and is a researcher at the Centre for Research in Applied Measurement and Evaluation.

Bulut graduated with a Bachelor of Arts in elementary education from Adnan Menderes University in Aydin, Türkiye, in 2006. Following that, he graduated with a Master of Arts and, later, a PhD in educational psychology — specializing in quantitative methods in education — from the University of Minnesota in 2010 and 2013, respectively. He began working at the U of A as an assistant professor in 2014, accepted an associate professor position in 2018, then stepped into his current role in the summer of 2024. Additionally, he worked as a research fellow at Pearson Assessments in Bloomington, Minnesota, from 2012 to 2013, and as a psychometrician at the American Institute for Research in Washington, DC, from 2013 to 2014.

Bulut’s research interests lie at the intersection of artificial intelligence, educational data mining and learning analytics, with the ultimate goal of empowering learners to harness the transformative power of data. Through these research areas, he seeks to create intelligent systems that can dynamically adapt to learner preferences, cognitive styles, and performance trajectories. He also gives regular workshops and develops online courses on topics such as data mining, big data modeling, data visualization and statistical data analysis using software programs like R, SAS and Python. As a scholar, Bulut’s work has been published in many prestigious journals, including Educational and Psychological Measurement, The Review of Educational Research and Computers and Education: Artificial Intelligence.

Research

I am a Professor in the Measurement, Evaluation, and Data Science program and a researcher at the Centre for Research in Applied Measurement and Evaluation CRAME) at the University of Alberta. I teach courses on computational psychometrics, machine learning, and statistical modeling. Also, I regularly give workshops and develop online courses on a variety of topics, such as data mining, big data modeling, data visualization, and statistical data analysis using software programs like R, SAS, and Python. My ultimate goal is to empower learners to harness the transformative power of data.

My research interests lie at the intersection of artificial intelligence (AI), educational data mining, and learning analytics. Through the utilization of AI-driven algorithms and natural language processing, I seek to create intelligent systems that can dynamically adapt to learner preferences, cognitive styles, and performance trajectories. My scholarly work has been published in prestigious journals, such as Educational and Psychological Measurement, Review of Educational Research, and Computers & Education: Artificial Intelligence. I am also a co-author of the CRC Press book: Handbook of Educational Measurement and Psychometrics Using R.

Teaching

Courses Taught:

EDPY 303 Educational Assessment
EDPY 500 Introduction to Data Analysis in Educational Research
EDPY 501 Introduction to Methods of Educational Research
EDPY 504 Survey Design and Implementation
EDPY 506 Machine Learning: Theory and Applications
EDPY 507 Measurement Theory I
EDPY 605 Quantitative Methods II
EPDY 607 Measurement Theory II

Courses

EDPY 507 - Measurement Theory I

This course will introduce students to the concepts and procedures required to develop, administer, and use educational and psychological assessments. Emphasis will be placed on the foundational concepts related to reliability and validity.

Winter Term 2025

EDPY 607 - Measurement Theory II

This course will focus on advanced topics and applications required to develop, administer, and use educational and psychological assessments. Emphasis will be placed on the application of theoretical concepts necessary for solving practical assessment problems. Prerequisite: EDPY 507 or equivalent. Formerly EDPY 508. Students cannot receive credit for both EDPY 508 and EDPY 607.

Winter Term 2025

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