Background: Parents are often involved in their child's homework with the goal of improving their child's academic achievement. However, mixed findings were observed for the role of parental involvement in homework in shaping students' learning outcomes. Aims: The present study examined whether and how the effect of parental involvement in…

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…

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,…

There is a long history of research efforts aimed at understanding the relationship between homework activity and academic achievement. While some self-report inventories involving homework activity have been useful for predicting academic performance, self-reported measures may be limited or even problematic. Here, we employ a novel method for…

Homework challenges are particularly relevant for students with autism spectrum disorders who demonstrate difficulty maintaining attention, motivation, and developing effective study skills. These challenges are often exacerbated for adolescents with disabilities who face a number of challenges during the middle school years. A multiple baseline…

This study of cooperative learning in post-secondary engineering education investigated achievement of engineering students enrolled in two intact sections of a computer-aided drafting (CAD) course. Quasi-experimental and qualitative methods were employed in comparing student achievement resulting from out-of-class cooperative and individualistic…

Wake County Public School System's (WCPSS) 102 elementary schools have implemented standards-based grading. This grading practice is aligned with North Carolina's Student Accountability Standards and the WCPSS Promotion/Intervention policy. Standards-based report cards were designed to reflect student mastery of state standards and provide an…

This "Handbook" offers a broad definition of family and community engagement, seen through the lens of scholars and practitioners with a wide-ranging set of perspectives on why and how families, communities, and schools collaborate with one another. Taken together, the chapters in this "Handbook" sketch out the components of a…

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…

The study examined students' and parents' perceptions of the transition from middle school to high school in a large public school district in the Midwest. Mean comparisons of student and parent responses to the "Perceptions of Transition Survey" revealed similarities and differences in academic, social, and organizational areas.…

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…