This study examined the use of Bayesian analysis methods for the estimation of item parameters in a two-parameter logistic item response theory model. Using simulated data under various design conditions with both informative and non-informative priors, the parameter recovery of Bayesian analysis methods were examined. Overall results showed that…

In this study, it was aimed to investigate the impact of different missing data handling methods on DINA model parameter estimation and classification accuracy. In the study, simulated data were used and the data were generated by manipulating the number of items and sample size. In the generated data, two different missing data mechanisms…

This paper presents a computational model for simulating how people learn from serious games. While avoiding the combinatorial explosion of a games micro-states, the model offers a meso-level pathfinding approach, which is guided by cognitive flow theory and various concepts from learning sciences. It extends a basic, existing model by exposing…

Despite common operationalization, measurement efficiency of computerized adaptive testing should not only be assessed in terms of the number of items administered but also the time it takes to complete the test. To this end, a recent study introduced a novel item selection criterion that maximizes Fisher information per unit of expected response…

Piecewise mixed-effects models are useful for analyzing longitudinal educational and psychological data sets to model segmented change over time. These models offer an attractive alternative to commonly used quadratic and higher-order polynomial models because the coefficients obtained from fitting the model have meaningful substantive…

A spreadsheet-based project is presented that is designed to enhance and expand student understanding of phase transition properties of pure water and ideal and nonideal (electrolyte) aqueous solutions. Using fundamental principles of classical and statistical thermodynamics, students calculate the melting and boiling points, the enthalpies and…

The overall objective of this study is to understand how the fuzzy logic theory can be used in measuring the programming performance of the undergraduate students, as well as proving the advantages of using fuzzy logic in evaluation of students' performance. 336 students were involved in the sample of this quantitative study. The first group was…

The author proposes a rhetoric of computational play as a perspective for the analysis of the ludic in the Information Age. Combining concepts from the philosophy of information and postphenomenology with different theories of play, he argues that there is a play element shaping the cultural impact of computational media and that this kind of play…

The author, a mathematics teacher, describes a seventh grade class where students use scientific notation to calculate how long it takes light to travel a variety of astronomical distances and then interpret the significance of their findings. Ultimately, the goal is to have students see how calculations can help answer large, almost philosophical…

Computational thinking, programming, coding, and analytical thinking are high-demand skills in today's educational and occupational arenas (Wing, 2006 & 2014). In addition to these skills, students need the ability to think creatively, work collaboratively, and develop design solutions to complex problems to succeed in school and a…

This research brief provides an overview of methods for estimating the size of achievement gaps. Unfortunately many researchers, analysts, and policy-makers use subjective methods (e.g., visual inspection) to evaluate group differences. Another common method is to take the difference between groups in percent proficient, but there are a number of…

Throughout the different phases of a drug development program, randomized trials are used to establish the tolerability, safety and efficacy of a candidate drug. At each stage one aims to optimize the design of future studies by extrapolation from the available evidence at the time. This includes collected trial data and relevant external data.…

Statisticians have made great progress in creating methods that reduce our reliance on parametric assumptions. However this explosion in research has resulted in a breadth of inferential strategies that both create opportunities for more reliable inference as well as complicate the choices that an applied researcher has to make and defend.…

The COVID-19 pandemic has resulted in unprecedented amounts of information communicated to the public relating to STEM. The pandemic can be seen as a 'wicked problem' defined by high complexity, uncertainty and contested social values requiring a transdisciplinary approach formulating social policy. This article argues that a 'Critical STEM…

This study proposed plugged and unplugged approaches for young students to simultaneously improve their interdisciplinary learning performance in English and Computational Thinking (CT). The plugged approach involved adopting educational robots to enhance CT and to provide English vocabulary and sentence practice via a board game. The unplugged…