This study is intended to determine science teachers' cognitive flexibility and their classroom management skills, and to examine the relationship between teachers' cognitive flexibility and their classroom management skills. The study was carried out through the use of correlational survey model. In the study carried out with 261 participants,…

Adolescents with negative student--student relationships are at increased risk for bullying perpetration. Moral disengagement has been well documented as one of the main examined predictive variables of bullying perpetration. However, few studies have examined the mechanism of moral disengagement in the association between student--student…

Problem solving is a key component of authentic scientific research and practice in organic chemistry. One factor that has been shown to have a major role in successful problem solving in a variety of disciplines is metacognitive regulation, defined as the control of one's thought processes through the use of planning, monitoring, and evaluation…

A significant portion of mathematics education research has focused on factors that impact student pursuit of science, technology, engineering and mathematics (STEM). Low rates of STEM student enrollment combined with high drop-out rates have consistently drawn attention from educators, administrators and policy-makers at all levels. Many studies…

This study used findings from the Secondary Trauma in "Student Affairs Professionals Scale" to explore the extent to which student affairs professionals may experience secondary trauma as well as factors associated with secondary trauma symptomology. Findings indicated 44% of sampled professionals met minimum criteria for secondary…

Free text answers to short questions can reflect students' mastery of concepts and their relationships relevant to learning objectives. However, automating the assessment of free text answers has been challenging due to the complexity of natural language. Existing studies often predict the scores of free text answers in a "black box"…

This 1-year longitudinal study examined the effects of academic performance and depression in friendships among elementary school children in China. Participants included 1122 children (44% boys) within 561 stable friendship dyads initially in fourth and fifth grades (initial M[subscript age] = 11 years). Data on academic performance, depression,…

The meta-analytic-predictive (MAP) approach is a Bayesian method to incorporate historical controls in new trials that aims to increase the statistical power and reduce the required sample size. Here we investigate how to calculate the sample size of the new trial when historical data is available, and the MAP approach is used in the analysis. In…

What makes a word easy to learn? Early-learned words are frequent and tend to name concrete referents. But words typically do not occur in isolation. Some words are predictable from their contexts; others are less so. Here, we investigate whether predictability relates to when children start producing different words (age of acquisition; AoA). We…

An extraordinary amount of data is becoming available in educational settings, collected from a wide range of Educational Technology tools and services. This creates opportunities for using methods from Artificial Intelligence and Learning Analytics (LA) to improve learning and the environments in which it occurs. And yet, analytics results…

Background: The ARMIDILO-S is advocated as a promising tool for assessing dynamic risk factors in sex offenders with intellectual disabilities (SOIDs). However, research remains scarce. The present study aimed to further validate this instrument in SOIDs. Method: The study prospectively followed 38 SOIDs for up to one year to test the accuracy of…

The last few years have witnessed an upsurge in the number of studies using Machine and Deep learning models to predict vital academic outcomes based on different kinds and sources of student-related data, with the goal of improving the learning process from all perspectives. This has led to the emergence of predictive modelling as a core practice…

Prediction algorithms are used across public policy domains to aid in the identification of at-risk individuals and guide service provision or resource allocation. While growing research has investigated concerns of algorithmic bias, much less research has compared algorithmically-driven targeting to the counterfactual: human prediction. We…

The purpose of this study is to determine the role of school culture types on perceived school leadership capacity. The study group of this research, consisted of 483 teachers. Descriptive statistics were used to analyze the data and Pearson Correlation Coefficients were calculated to determine the relationships between variables. Hierarchical…

Problem-based learning puts students in situations that suggest problems without providing instructions and available knowledge. Therefore, when using problem-based learning, students need to be flexible, self-disciplined, active and self-occupied with knowledge and turn the knowledge the teacher intends to impart into their knowledge. For locus…