Background: Five-year-olds with specific language impairment (SLI) often struggle with mastering grammatical morphemes. It has been proposed that verbal morphology is particularly problematic in this respect. Previous research has also shown that in young typically developing children grammatical markers appear later in more phonologically…

A sample of 327 engineering bachelor students from a public university in Mexico took part in an information integration study to explore systematic thinking underlying propensity for cheating during a course exam. All study participants were provided with written descriptions of 12 scenarios pertaining to the academic evaluation criteria and were…

We perform two approaches of machine learning, logistic regressions and decision trees, to predict student dropout at the Karlsruhe Institute of Technology (KIT). The models are computed on the basis of examination data, i.e. data available at all universities without the need of specific collection. Therefore, we propose a methodical approach…

The evolution of community colleges from their origins as junior colleges to institutions with dual missions to provide both academic and workforce preparation raises questions about the impact of a college's mission focus on their students' labor market success. We examine this question using the 58 colleges in the North Carolina Community…

This study uses data on educational expenditure, including specific types of educational expenditure, from the 2009 Socioeconomic Survey of Thailand to investigate gender bias in the allocation of educational resources. Empirical Engel's curves are estimated to test for gender bias. The results show that girls receive more education expenditure…

This study aims to reveal the relationship between lifelong learning and philosophies of education. The sampling of the study consisted of 570 prospective teachers attending a pedagogical formation course at Bartin University and Bülent Ecevit University in 2016. Relational screening model was used in the study and the data were collected through…

The authors explored the relationship between counselors' multicultural counseling competence (MCC), poverty beliefs, and select demographic factors. Results of hierarchical linear regressions indicate that MCC is predictive of counselor individualistic and structural poverty beliefs. Implications for counselor multicultural training and immersion…

There is a pervasive need for school systems to empirically and reliably assess the data literacy and data use skills of their educators (Ingram et al., 2004). With the federal government holding states and school districts accountable for student achievement and the increased emphasis of high stakes testing in schools, it is also critical to be…

Online adaptive tutoring systems are increasingly being used in classrooms as a way to provide guided learning for students. Such tutors have the potential to provide tailored feedback based on specific student needs and misunderstandings. Bayesian knowledge tracing (BKT) is used to model student knowledge when knowledge is assumed to be changing…

This study uses logistic and multinomial logistic regression models to analyze neighborhood factors affecting EMO (Education Management Organization)-operated schools' locational attributes (using census tracts) in 41 states for the 2014-2015 school year. Our research combines market-based school reform, institutional theory, and resource…

Utilizing a data set of over 900,000 enrollees in adult basic education programs in New York State between 2005 and 2013, we examine the college enrollment of GED® passers. Upon enrollment in an adult basic education program, participants were asked whether they wanted to attend college after completion; almost 13,000 students both indicated a…

Psychology students often feel anxious about learning statistics, which can impact their performance. However, little research has explored statistics confidence, which may be an important way to reduce the negative connotations of associating statistics with anxiety. We aimed to explore whether modifying an existing measure of statistics anxiety…

The present study aims to determine which analysis technique-Artificial Neural Networks (ANNs) or Logistic Regression (LR) Analysis-is better at predicting the science literacy success of the 15-year Turkish students who participated in PISA research carried out in 2015 by using learning time spent on science, test anxiety, environmental…

In this paper, we leverage detailed, individual-level student data to understand the relationships between family finances, merit-based aid, and first-year student retention. With three cohorts of student data that comprise family financial status, institutional merit scholarships, and many of the other known correlates of student retention, we…

Purpose: Education depends on high-quality teachers who are committed to professional development and do not get burned out. The purpose of this paper was to investigate how job demands and resources can affect the health and cognitive development of teachers using the Demand-Induced Strain Compensation model. Design/methodology/approach: A…