We propose a novel model, Wide & Deep Item Response Theory (Wide & Deep IRT), to predict the correctness of students' responses to questions using historical clickstream data. This model combines the strengths of conventional Item Response Theory (IRT) models and Wide & Deep Learning for Recommender Systems. By leveraging clickstream…

Adolescents with attention-deficit/hyperactivity disorder (ADHD) are at heightened risk of experiencing academic difficulties due to organizational deficits. Impairment can be exacerbated through poor sleep hygiene and excessive daytime sleepiness, prevalent sleep challenges for adolescents with ADHD. Given established relationships among sleep,…

Prediction of student performance is one of the most important subjects of educational data mining. Artificial neural networks are seen to be an effective tool in predicting student performance in e-learning environments. In the studies carried out with artificial neural networks, performance predictions based on student scores are generally made,…

The present meta-analysis assessed concurrent and longitudinal associations between parental educational expectations and child achievement, and factors that mediate the effect of expectations on achievement. A systematic search in electronic databases identified 169 studies that were included in a random-effects meta-analysis. We found small to…

Low-cost private schools are expanding across sub-Saharan Africa and are often perceived by parents to be of better quality than public schools. This article assesses the interplay between kindergarten (or preschool) choice, household resources, and children's school readiness in Ghana. We examine how child, household, and school characteristics…

The purpose of this study was to determine the effectiveness of a local afterschool program in helping underserved elementary school students improve their reading achievement. The study followed a cohort of students with 28 participants who were low-income, ethnic minority children in the 1st-6th grades between the ages of 6 and 12. Data on…

This study investigated the longitudinal associations between children's academic performance and their mothers' affect, practices, and perceptions of their children in homework situations. The children's (n = 2,261) performance in reading and math was tested in Grade 1 and Grade 4, and the mothers (n = 1,476) filled out questionnaires on their…

The study tested three theoretically/conceptually hypothesized longitudinal models of academic processes leading to academic performance. Based on a longitudinal sample of 1866 high-school students across two consecutive years of high school (Time 1 and Time 2), the model with the most superior heuristic value demonstrated: (a) academic motivation…

This study sought to establish the relevance of college mothers' motivational orientation and other student-role attitudes to the parenting of their school-age children and to their children's attitudes toward school. College mothers (N = 89) with a child between the ages of 7 and 14 years completed measures of their academic achievement…

The amount of homework assigned and completed, and attitudes about homework, were studied through questionnaires completed by 709 students, their parents, and 82 teachers. Differences in student, parent, and teacher perceptions of the amount of homework assigned and completed are discussed. In the lower grades, amount of homework completed helped…

The 12th iteration of the International Conference on Educational Data Mining (EDM 2019) is organized under the auspices of the International Educational Data Mining Society in Montreal, Canada. The theme of this year's conference is EDM in Open-Ended Domains. As EDM has matured it has increasingly been applied to open-ended and ill-defined tasks…

Examined contemporaneous and predictive relations between parenting styles, adolescents' attributions, and educational outcomes. Found that adolescents who perceived their parents as nonauthoritative were more likely than peers to attribute achievement outcomes to external causes or low ability. The higher the proportion of dysfunctional…

Because rural Alaska educators were skeptical of the applicability to their teaching situations of various educational research results, researchers randomly surveyed rural Alaskan teachers to provide background information for the Rural Effective Schools Project and for educators who want to help rural schools increase their effectiveness. Three…

The 7th International Conference on Education Data Mining held on July 4th-7th, 2014, at the Institute of Education, London, UK is the leading international forum for high-quality research that mines large data sets in order to answer educational research questions that shed light on the learning process. These data sets may come from the traces…