This article illustrates one of several learning sequences from the Interdisciplinary Mathematics and Science (IMS) Learning project, connecting science and mathematics learning in the primary school. Investigating Body Height involved a series of investigations conducted in Years 5 and 6 across six classes in one school. The project teachers…

Behavioral and social-emotional challenges experienced in childhood are risk factors for negative educational and health outcomes. Universal social-emotional screening in schools has been identified as an effective approach to identifying children at risk for mental health and behavioral challenges and is congruent with tiered frameworks for…

National testing and reform agendas, with their focus on school improvement, has led to increased collection and scrutiny of student data. The analysis of these data usually occurs at a school level, often by school leaders. What is less common is the opportunity for students to scrutinise their individual data and take ownership over the results…

Afterschool programs can offer enriching opportunities, homework help and a safe environment. To ensure that these programs are cohesive, high-quality and widely available, many cities have designed community-wide systems to coordinate the various afterschool programs offered by different providers. Having a way to collect and share reliable data…

Various data systems have been long and pervasively used in schools to collect student data. However, very few educators are able to apply their collected data to improve their teaching. The purpose of this article is to investigate how middle school teachers adapt data mining protocols to enhance their teaching and to improve their students'…

It is essential for middle school leaders to develop and promote school-wide literacy models, organizational structures that have a significant impact on the learning environment for all students in their building. However, school-wide literacy models can be difficult to implement and sustain over time. Drawing from an Office of Special Education…

The well-studied Baker et al., affect detectors on boredom, frustration, confusion and engagement concentration with ASSISTments dataset were used to predict state tests scores, college enrollment, and even whether a student majored in a STEM field. In this paper, we present three attempts to improve upon current affect detectors. The first…

The 10th International Conference on Educational Data Mining (EDM 2017) is held under the auspices of the International Educational Data Mining Society at the Optics Velley Kingdom Plaza Hotel, Wuhan, Hubei Province, in China. This years conference features two invited talks by: Dr. Jie Tang, Associate Professor with the Department of Computer…