Random forests are a nonparametric machine learning method, which is currently gaining popularity in the behavioral sciences. Despite random forests' potential advantages over more conventional statistical methods, a remaining question is how reliably informative predictor variables can be identified by means of random forests. The present study…

This report provides advice to policymakers and school leaders on the use of assessment centres as part of a teacher selection approach. It discusses the relationship between assessment centre scores prior to joining teaching, and teacher effectiveness over a six-year period. It draws from various stages of a wider research project, the overall…

Bayesian approach is becoming increasingly important as it provides many advantages in dealing with complex data. However, there is no well-defined model selection criterion or index in a Bayesian context. To address the challenges, new indices are needed. The goal of this study is to propose new model selection indices and to investigate their…

The use of computerized adaptive testing algorithms for ranking items (e.g., college preferences, career choices) involves two major challenges: unacceptably high computation times (selecting from a large item pool with many dimensions) and biased results (enhanced preferences or intensified examinee responses because of repeated statements across…

We use publicly available, longitudinal data from Washington state to study the extent to which three interrelated processes--teacher attrition from the state teaching workforce, teacher mobility between teaching positions, and teacher hiring for open positions--contribute to "teacher quality gaps" (TQGs) between students of color and…

The range of study programs in finance and the ways how to study due to place, time, and focus has increased in recent years. Students can choose what and how they want to learn. If someone finds an appropriate program he must decide to study face-to-face, online, or in a hybrid format. Finance is often a duty in business administration or related…

In this paper, we present a simulation of artificial selection of maize that can be used as a bridging case for the subsequent introduction of natural selection in school. The proposed simulation takes up essential biological elements but also has a cultural meaning for the inhabitants of some regions of Latin America. After implementing a test of…

The purpose of this study was to determine if using a multistage approach for the empirical selection of anchor items would lead to more accurate DIF detection rates than the anchor selection methods proposed by Kopf, Zeileis, & Strobl (2015b). A simulation study was conducted in which the sample size, percentage of DIF, and balance of DIF…

Item exposure control is, relative to adaptive testing, a nascent concept that has emerged only in the last two to three decades on an academic basis as a practical issue in high-stakes computerized adaptive tests. This study aims to implement a new strategy in item exposure control by incorporating the standard error of the ability estimate into…

The objective of this piece of research is to interpret and investigate systematically an observed brain functional phenomenon which is associated with proceeding of e-learning processes. More specifically, this work addresses an interesting and challenging educational issue concerned with dynamical evaluation of elearning performance considering…

Purpose: Educational institutions are caught between increasing their offer rates and attracting and retaining those prospective students who are most suited to course completion. The purpose of this paper is to demonstrate the influence of demographic and psychological constructs on students' preferences when choosing to study in a particular…

Work-based learning (WBL) has long been used in career and technical education (CTE) to allow students to practice the knowledge and skills they acquire in the classroom within a "real-world" business or industry setting. High-quality work placements reinforce schoolbased instruction by providing students with a context for applying…