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Educational Psychology

College of Education and Human Sciences: Dissertations, Theses, and Student Research

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Calibration

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Full-Text Articles in Education

Assessing The Role Of Biology Undergraduates' Metacognitive Calibration And Neural Activity During Model-Based Reasoning, Mei Grace Behrendt May 2022

Assessing The Role Of Biology Undergraduates' Metacognitive Calibration And Neural Activity During Model-Based Reasoning, Mei Grace Behrendt

College of Education and Human Sciences: Dissertations, Theses, and Student Research

Metacognition refers to the critical awareness of or ability to monitor, regulate, control, and sequence of one's thoughts and performance. There is limited research that examines the relationship between metacognition and (a) academic performance and (b) general cognition among undergraduates. Moreover, there is an even greater paucity of literature that focuses more specifically on undergraduate biology students’ neural activity in relation to their metacognition.

This study aimed to examine the relationship between undergraduate life sciences students' metacognitive calibration, i.e., their capacity to self-evaluate their own performance, and their behavioral performance and brain activity during a biological error reasoning task. Thirty-four …


Investigating The Fit Of The Generalized Graded Unfolding Model (Ggum) When Calibrated To Irt Generated Data From Dominance And Ideal Point Models, Abdulla Alzarouni Jul 2021

Investigating The Fit Of The Generalized Graded Unfolding Model (Ggum) When Calibrated To Irt Generated Data From Dominance And Ideal Point Models, Abdulla Alzarouni

College of Education and Human Sciences: Dissertations, Theses, and Student Research

The assessment of model fit in latent trait modelling, better known as item response theory (IRT), is an integral part of model testing if one is to make valid inferences about the estimated parameters and their properties based on the selected IRT model. Though important, the assessment of model fit has been less utilized in IRT research than it should. For example, there have been less research investigating fit for polytomous dominance models such the Graded Response Model (GRM), and to a lesser extent ideal point models such as the Generalized Graded Unfolding Models (GGUM), both in its dichotomous and …