Organized leisure activities are an important component of learning with a great potential for positive youth development. The available research has grown in the past decade but is still lacking differentiated analysis of specific activity determinants and longitudinal designs. Based on retrospectively collected quantitative data (n=1,547) at the…

As a result of federal and state laws, it is necessary to identify an accurate predictor of student achievement before administering the state-mandated test. School districts are increasingly administering "benchmark assessments" throughout the year to measure students' progress and provide teachers with data about adjusting instruction.…

A Fourier transform infrared (FTIR) experiment appropriate for an upper-level undergraduate laboratory such as chemical instrumentation is described. Students collect FTIR spectra of four protio-solvents and their deuterated analogues. In addition to qualitatively observing C-H and O-H peaks shift to lower energy upon deuteration, students apply a…

Composite scores are an exceptionally important psychometric tool for behavioral science research applications. A prototypical example occurs with self-report data, where researchers routinely use questionnaires with multiple items that tap into different features of a target construct. Item-level missing data are endemic to composite score…

Debate around inflectional morphology in language acquisition has contrasted various rule- versus analogy-based approaches. This paper tests the rule-based Tolerance Principle (TP) against a new type of pattern in the acquisition of the possessive suffix -im in Northern East Cree. When possessed, each noun type either requires or disallows the…

Background: Early school dropout is an economic, social, and individual problem. School dropout is a result of cumulative processes that occur over many childhood years. Despite the influence of level of education on health outcomes, primary prevention of dropout outside of the school setting is rare. In the Netherlands, the Youth Health Care…

The application of machine learning (ML) has grown and is now used to enhance learning outcomes. In blended classroom settings, ML, emerging smartphones and wearable technologies are commonly used to improve teaching and learning. The combination of these advanced technologies and ML plays a crucial role in enhancing real-time feedback quality.…

Although early behavioral intervention is considered as empirically-supported for children with autism, estimating treatment prognosis is a challenge for practitioners. One potential solution is to use machine learning to guide the prediction of the response to intervention. Thus, our study compared five machine algorithms in estimating treatment…

Sense of belonging plays an essential role in the retention and success of distance learning students. This study investigated the influence of a sense of belonging on the intentions to drop out among black and white distance learning students at a university in South Africa. A total of 831 participants were surveyed and constituted the sample of…

This quantitative, correlational study examined whether instructors' engagement style in online Council for the Accreditation of Counseling and Related Programs (CACREP) accredited clinical mental health counseling programs predict beginning counselors' self-efficacy. The study was conducted using both self-efficacy theory and social learning…

Mind wandering occurs when a reader's thoughts are unrelated to the text's ideas. We examined the relation between mind wandering and readers' memory for text. More specifically, we assessed whether mind wandering inhibits the reader's development of the situation model and thus their ability to identify and recall the text's most central ideas.…

The aim of this study is to analyse attitudes, perceptions of teacher self-efficacy and collaborative practices and teachers' opinions of the most appropriate placement for students with severe/permanent SEN. The methodology involves a survey based on a questionnaire administered to teachers in three school groups in the central region of mainland…

Childhood trauma can result in developmental and psychosocial problems leaving teachers struggling to manage the effects of students' trauma and potentially leading to increased burnout. The present study investigated whether teachers' attitudes towards teaching trauma-affected students and prior experience with trauma predicted teacher burnout.…

The continuous development of Educational Data Mining (EDM) and Learning Analytics (LA) technologies has provided more effective technical support for accurate early warning and interventions for student academic performance. However, the existing body of research on EDM and LA needs more empirical studies that provide feedback interventions, and…

Various studies have been done on shifting toward technology-based second language (L2) education. However, the influence of psycho-emotional factors on students' technology acceptance is overlooked. To fill this gap, the present quantitative study examined the role of students' achievement emotions and technological self-efficacy in predicting…