Okan Bulut

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Associate Professor

University of Alberta

Canada

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About

Okan Bulut is an Associate Professor at the University of Alberta, Canada. His research focuses on the application of artificial intelligence in educational measurement, including automated scoring and the development of psychological scales. His recent works include studies on the predictive value of individual screen response times and the impact of intelligent tutoring systems on preschoolers' problem-solving skills.

Recent Grants

Grant: Close

Identifying the Predictors of Mathematics Anxiety, Confidence, and Performance in Canada: An Educational Data Mining Approach

Open Date: 2022-01-01

Close Date: 2024-01-01

Grant: Close

Climate Change Surveillance for Chronic Health Effects in Vulnerable Populations

Open Date: 2020-01-01

Close Date: 2024-01-01

Grant: Close

Automatic Generation of Passages for Reading Comprehension: An Artificial Intelligence Approach

Open Date: 2020-01-01

Close Date: 2021-01-01

Grant: Close

Public Health Messaging Insights in Alberta During Wave 1 of COVID-19: A Complexity-Informed Mixed Methods Design for Rapid Response to Big Data Integration

Open Date: 2020-01-01

Close Date: 2021-01-01

Grant: Close

Providing Students with a Voice: A Measure of Students’ Socio-Emotional Well-Being to Optimize Learning for All Students

Open Date: 2019-01-01

Close Date: 2022-01-01

Okan Bulut

Research Interests

Explore related searches

Contact this professor

About

Recent Grants

Articles (30)

The Value of Individual Screen Response Time in Predicting Student Test Performance: Evidence from TIMSS 2019 Problem Solving and Inquiry Tasks

A review of automatic item generation techniques leveraging large language models

人工智能在教育测量中的应用：机遇与伦理挑战

Automated scoring in the era of artificial intelligence: An empirical study with Turkish essays

Shortening Psychological Scales: Semantic Similarity Matters

Editorial: Special Issue on Artificial Intelligence and Machine Learning in Educational Measurement (Part 3)

Preschoolers’ initial planning time on problem-solving performance across task difficulties: insights from intelligent tutoring mobile application log data

Benchmarking Variants of Recursive Feature Elimination: Insights from Predictive Tasks in Education and Healthcare

Stacking: An ensemble learning approach to predict student performance in PISA 2022

Editorial: Special Issue on Artificial Intelligence and Machine Learning in Educational Measurement (Part 2)

Unsupervised Anomaly Detection in Sequential Process Data

Adaptive Case Study-Mixed Methods Design Practices for Researchers Studying Complex Phenomena

Developing Scales of Learner Modality Preferences and Perspectives on Online Learning

Enhancing high-school dropout identification: a collaborative approach integrating human and machine insights

The difference between estimated and perceived item difficulty: An empirical study

A Comparison of Bias Mitigation Techniques for Educational Classification Tasks Using Supervised Machine Learning

A Psychometric Network Analysis Approach for Detecting Item Wording Effects in Self-report Measures across Subgroups

Developing the Technology-Integrated Assessment Framework

Technology-Integrated Assessment: A Literature Review

Examining Position Effects on Students’ Ability and Test-Taking Speed in the TIMSS 2019 Problem-Solving and Inquiry Tasks: A Structural Equation Modeling Approach

An Introduction to Bayesian Knowledge Tracing with pyBKT

Group differences in the emotion regulation during test-taking scale: an explanatory item response modeling approach

Preschool Children’s Loose Parts Play and the Relationship to Cognitive Development: A Review of the Literature

Examining the Associations between Personal Protective Equipment, Training, Policy, and Acute Care Workers’ Psychological Distress during the COVID-19 Pandemic

Incorporating test-taking engagement into the item selection algorithm in low-stakes computerized adaptive tests

The Influence of Parenting Dimensions and Junior High School Students’ Involvement in Bullying

Rapid Guessing in Low-Stakes Assessments: Finding the Optimal Response Time Threshold with Random Search and Genetic Algorithm

Rapid Guessing in Low-Stakes Assessments: Finding the Optimal Response Time Threshold with Random Search and Genetic Algorithm

Scale Abbreviation with Recursive Feature Elimination and Genetic Algorithms: An Illustration with the Test Emotions Questionnaire

Scale Abbreviation with Recursive Feature Elimination and Genetic Algorithms: An Illustration with the Test Emotions Questionnaire

Collaborators (10)

Zach A. Pardos

Jinnie Shin

Cheryl Poth

Mariel Miller

Valerie Irvine

Mark Gierl

Jean-Paul Restoule

Surina He

Simon J. G. Otto

Bin Tan

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