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Skip to Search Results- 6Bulut, Okan
- 2Gorgun, Guher
- 2Wongvorachan, Tarid
- 1Bakırarar, Batuhan
- 1Büyükkıdık, Serap
- 1Chu, Man-Wai
- 2PISA
- 2mixed methods
- 1Assessment Literacy
- 1Canada
- 1Classroom Assessment
- 1Computerized Adaptive Testing
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Comparing the Performance of Data Mining Methods in Classifying Successful Students with Scientific Literacy in PISA 2015
Download2018-09-05
Büyükkıdık, Serap, Bakırarar, Batuhan, Bulut, Okan
This study aims to classify successful and unsuccessful students in PISA (2015) scientific literacy using the indices and student questionnaire items in the PISA 2015 database. The sample of the study consists of 5895 Turkish students who participated in PISA 2015. In data analysis, Multilayer...
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Evaluating dimensionality in non-cognitive measures: Exploratory vs. hierarchical exploratory graph analysis
Download2024-04-01
Wongvorachan, Tarid, Gorgun, Guher, Bulut, Okan
Network psychometrics is a new approach to exploring dimensionality of a measurement tool using partial correlations among items. In this study, we showcased the performance of exploratory graph analysis (EGA) and hierarchical EGA in detecting the true dimensional structure of non-cognitive...
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Identifying the Predictors of Mathematics Anxiety, Confidence, and Performance in Canada: An Educational Data Mining Approach
Download2024-03-13
Bulut, Okan, Clelland, Ashley, Wongvorachan, Tarid
The goal of this study was to identify important and actionable (i.e., can be acted upon) predictors of mathematics performance, mathematics anxiety, and confidence in mathematics among Canadian and Alberta students. The study followed an explanatory sequential mixed methods design, combining...
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2022-10-28
SSHRC IG awarded 2023: Educational assessment can be one of the most productive forces for student learning in classrooms or one of the most destructive. The deciding factor is whether teachers can make assessment decisions that can engage and motivate students and enhance their learning....
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Measuring Students’ Socio-Emotional Well-being to Optimize Learning: Looking beyond Academic Performance and Grades
Download2020-12-01
Bulut, Okan, Seitz, Paolina, Deforge, Kevin, Chu, Man-Wai, Hachem, Maryam, Gorgun, Guher
Socio-emotional variables, like engagement, motivation, and collaboration, are profoundly involved in the learning process. Targeting those variables in designing instructional activities may increase the potential of students’ academic success (e.g., stronger school performance and more...