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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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Leveraging Natural Language Processing Methods to Evaluate Automatically Generated Cloze Questions: A Cautionary Tale
DownloadFall 2024
The purpose of this dissertation is to employ three prominent atural language processing methods to assess the feasibility of automatically evaluating cloze questions generated by automatic item generation (AIG) methods. AIG methods have been developed to address the need for a large number of...
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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...