Attrition is one of the main concerns in distance learning due to the impact on the incomes and institutions reputation. Timely identification of students at risk has high practical value in effective students' retention services. Big Data mining and machine learning methods are applied to manipulate, analyze and predict students' failure,…

A substantial proportion of trial registrations are not linked to corresponding published articles, limiting analyses and new tools. Our aim was to develop a method for finding articles reporting the results of trials that are registered on ClinicalTrials.gov when they do not include metadata links. We used a set of 27,280 trial registration and…

The lack of students interested in pursuing science, technology, engineering, and mathematics (STEM)-related careers calls for studies that identify variables affecting their career decisions. By drawing on recent conceptualizations of the cost domain first introduced in the expectancy-value theory of achievement motivations, this study…

Outstanding high-school students in Israel are presented with the option of postponing their mandatory military service to pursue academic studies. The current paper focuses on female students aged 16-18 who are faced with this option, and compares those who are motivated to pursue academic studies to those who are more inclined to join the army…

Research Findings: The goal of this study was to investigate the role of play behaviors in the links between child shyness and teacher-child relationship quality in preschool. Participants were 212 (102 girls) young children (M = 58.32 months, SD = 10.72) recruited from 10 classrooms in three preschools in central Italy. Parents evaluated…

Background: The abuse of adults with intellectual and developmental disabilities in care services seems to be relatively common, although there are anecdotal suggestions that abuse may be predictable and preventable. Method: Evidence related to how abuse is detected and prevented within services was reviewed. Database and ancestry searches were…

Lecture capture technology has quickly become a common component in many classrooms and lecture halls on college campuses across the world. This quantitative study aimed to identify the effects of lecture capture and student engagement on student performance in a school of pharmacy. Student performance for this study was measured by the end of a…

This quantitative correlational predictive study aimed to determine the extent Herzberg's motivator and hygiene factors predict intent to remain in academia among Master of Science in Nursing-degreed part-time nursing faculty in the United States. The theoretical framework for this study included Herzberg's theory of motivator and hygiene factors.…

Purpose: The general goal of this paper is to help educators understand the importance of MOOC training to school teachers and their hypothetical value for predicting the use of teaching strategies in the face-to face-classroom teaching. With this purpose, the study is guided by two research questions: (1) Are there different patterns of…

During the pandemic, online courses became the major delivery format for most institutions of higher learning across the United States and around the world. However, many students experienced emotional distress as a result and have struggled to adapt to remote learning. To explore how emotional distress relatesto other aspects of online learning,…

The interpretations of test scores in secure, high-stakes environments are dependent on several assumptions, one of which is that examinee responses to items are independent and no enemy items are included on the same forms. This paper documents the development and implementation of a C#-based application that uses Natural Language Processing…

Purpose: The speech of some children does not follow a typical normalization trajectory, and they develop speech sound disorders (SSD). This study investigated predictive correlates of speech sound normalization in children who were at risk of SSD. Method: A prospective population cohort study of 845 Cantonese-speaking preschoolers was conducted…

The advent of COVID-19 highlighted widespread misconceptions regarding people's accuracy in interpreting quantitative health information. How do people judge whether they accurately answered health-related math problems? Which individual differences predict these item-by-item metacognitive monitoring judgments? How does a brief intervention…

Attrition is one of the main concerns in distance learning due to the impact on the incomes and institutions reputation. Timely identification of students at risk has high practical value in effective students' retention services. Big Data mining and machine learning methods are applied to manipulate, analyze, and predict students' failure,…

The New Ecological Paradigm (NEP) scale adapted for use with children (NEP-C) is one of the most frequently used measures of children's environmental beliefs. Though widely utilized, the limitations of the NEP-C instrument are often overlooked. Based on a systematic synthesis of existing literature examining the NEP-C, we argue that the scale…