This qualitative case study aimed to evaluate instructional best practices in reading, particularly close reading components and strategies that can predict student success, specifically in middle school students in an inner-city setting. The implementation of close reading instructional strategies is said to impose a higher level of cognitive…

Since the world has faced the COVID-19 pandemic there has been a workforce shortage in many professions, and education is among those professions. Even before the global pandemic, education was seeing worrying levels of shortage, stress, burnout, and attrition. Teachers feel stress from the growing list of different roles and responsibilities they…

Traditional school laboratory exercises on a system of moving objects connected by strings involve deriving expressions for the system acceleration, a = (?F)/m, and sketching a graph of acceleration vs. force. While being in the form of rational functions, these expressions present great opportunities for broadening the scope of the analysis by…

In causal matching designs, some control subjects are often left unmatched, and some covariates are often left unmodeled. This article introduces "rebar," a method using high-dimensional modeling to incorporate these commonly discarded data without sacrificing the integrity of the matching design. After constructing a match, a researcher…

To investigate the grammatical constraints of code-switching (CS hereafter) under the disputes of "the constraint-based account" versus "the constraint-free account," the effects of functional category on CS have long been investigated in the existing studies. Thus, the present study, by asking 47 participants to take part in…

We commonly ask students to compare the results of their experimental measurements with the predictions of a simple physical model that is well understood. However, in practice, physicists must compare their experimental measurements with the predictions of several models, none of which may work well over the entire range of measurements. The…

A basic function of cognition is to detect regularities in sensory input to facilitate the prediction and recognition of future events. It has been proposed that these implicit expectations arise from an internal predictive coding model, based on knowledge acquired through processes such as statistical learning, but it is unclear how different…

This paper concerns "planes-coordination" and "long-term-prediction" difficulties. These are specifically the case when students attempt to visualize solution curves of autonomous differential equations for predicting the long-term behavior of various initial conditions. To address these issues, a study was conducted in which…

Research generally supports the use of error-correction procedures that require active student responses (ASRs). However, some recent research suggests that requiring ASRs after errors is not always advantageous for individuals with autism spectrum disorder (ASD). We examined acquisition in a receptive identification task for two learners with ASD…

A prevailing theory of mathematical problem solving predicts that children will be less accurate solving a + b = c + __ problems versus a + b = __ + c. However, this has never been tested directly. Because of low base rates, information combined from multiple studies can help improve estimation accuracy and precision. This study compared…

This study aims to predict the final exam scores and pass/fail rates of the students taking the Basic Information Technologies -- 1 (BIL101U) course in 2014-2015 and 2015-2016 academic years in the Open Education System of Anadolu University, through Artificial Neural Networks (ANN). In this research, data about the demographics, educational…

The article discusses the risks and effects of predicting the future. It describes the competition between two images of the future that can be found in current predictions. We discuss the question of changing our basic conceptions about the essence of human nature, the most important properties and qualities of people in connection with the onset…

Functional Movement Screen (FMS) is one of the test battery that is used very common recently. Asymmetries and limitations of the functional movement patterns could be detected with this test battery. Study's purpose was to evaluate the relationship between FMS and athletic performance parameters in prepubertal children. 28 male children…

While hierarchical machine learning approaches have been used to classify texts into different content areas, this approach has, to our knowledge, not been used in the automated assessment of text difficulty. This study compared the accuracy of four classification machine learning approaches (flat, one-vs-one, one-vs-all, and hierarchical) using…

Knowledge of prerequisite dependencies is crucial to several aspects of learning, from the organization of learning content to the selection of personalized remediation or enrichment for each learner. As the amount of content is scaled up, however, it becomes increasingly difficult to manually specify all of the prerequisites among the different…