Students learn not only directly from their teachers and books, but also by using their computers, tablets, and phones. Monitoring these learning environments creates new opportunities for teachers to track students' progress. In particular, this article is based on gathering real-time events as students interact with learning tools and materials…

Student dropout is a significant concern for university administrators, students and other stakeholders. Dropout is recognised as highly complex due to its multi-causality, which is expressed in the existing relationship in its explanatory variables associated with students, their socio-economic and academic conditions, and the characteristics of…

Globally, statistical analyses have found a range of variables that predict the odds of first-year students failing to progress at their Higher Education Institution (HEI). Some of these studies have included students from a range of disciplines. Yet despite the rise in the number of criminology students in HEIs in the UK, little statistical…

This article looks at the effects of environmental factors such as classification, residence location, and employment status of Hispanic students who unsuccessfully completed first-semester general chemistry (Chem I) at a Hispanic-Serving or emerging Hispanic-Serving Institution. Students' automaticity skills in arithmetic and quantitative…

Research Findings: This study used data from a large-scale kindergarten entry assessment (KEA) to understand how well two state screening measures, administered at school entry, predicted the first-grade reading outcomes of a large sample of first-time kindergarteners (N=5,480) at high risk for future reading failure. We examined young children's…

The primary aim of this study was to examine gender and racial differences in the association between system involvement types (i.e., child protective services [CPS] only, juvenile justice system only, and dual involvement) and academic outcomes (i.e., grade failure, chronic absenteeism). This study used records from a linked database of public…

The Connections Project (Pristawa,2014) is designed to assist school personnel in identifying students at-risk for social-emotional concerns by examining students' perceptions of connectedness with adults and peers in school. Currently used in several states, schools complete the screening measure as part of their use of the Multi-Tiered System of…

Studies found that students from low socioeconomic backgrounds have higher odds of dropping out from higher education. Academic hardships were also identified as predictors. The current study utilizes data on 45,752 students who started their studies at The Hebrew University of Jerusalem (2003-2015). Descriptive statistics reveal that 18% of all…

A positive emotional state of students has proved to be essential for favouring student learning, so this paper explores the possibility of obtaining student feedback about the emotions they feel in class in order to discover emotion patterns that anticipate learning failures. From previous studies about emotions relating to learning processes, we…

Currently, limited data are available on student retention rates and attrition factors in online physical education (OLPE) courses. Several early OLPE studies as well as the 2007 NASPE Initial Guidelines for Online Physical Education have suggested that certain prescreening efforts be in place prior to student enrollment in OLPE; however, at…

Considerable efforts have been made to predict success in medical degrees. Much of the work has focused on failing students, so little is known about performance stability in medical students who pass and become doctors. If we can predict performance, we can better plan interventions and set standards. We tested the predictive capability of first…

Pittsburgh Public Schools (PPS), the Propel Schools charter network, and the Allegheny County Department of Human Services (DHS) want to better identify students at risk for academic problems in the near term. The stakeholders partnered with the Regional Education Laboratory Mid-Atlantic to develop an approach for identifying at-risk students…

Several studies have focused on identifying the significant behavioral predictors of learning performances in web-based courses by examining the log data variables of learning management systems, including time spent on lectures, the number of assignments submitted, and so forth. However, such studies fail to quantify the impact of emotional,…

Improving ninth grade course passing rates has been shown to be crucial in improving high school outcomes. Yet at this critical transition to high school, family engagement has tended to decrease. This study explores how increasing use of the parent portal could potentially help to reduce ninth grade failure. Using automatically generated…

Improving ninth grade course passing rates has been shown to be crucial in improving high school outcomes. Yet at this critical transition to high school, family engagement has tended to decrease. This study explores how increasing use of the parent portal could potentially help to reduce ninth grade failure. Using automatically-generated…