The present study examined the conditions and challenges of successfully including adolescent students with mild intellectual disabilities within a mainstream school context. The study was based on qualitative interviews with nine special education teachers who worked in special education groups in lower secondary schools. A thematic structural…

Educators have regarded building leader-member relationships using collaboration as a fundamental component to successfully improve students' academic achievement. Ineffective collaborative leadership practices may lead to achievement deficits particularly for many urban charter schools operated by educational management organizations. The purpose…

This dissertation addresses the problem of teacher self-efficacy theory being largely absent as a concept of study in composition studies, despite the field maintaining a primary focus on issues like teacher development and effective composition pedagogy. This absence of the study of teacher self-efficacy, defined as "a [teacher's] judgment…

Policymakers need information about the schools in their state. What programs are the most cost effective and work best for students? How can states attract and retain great teachers? What information do parents need to ensure that their kids are on track to graduate? For answers to questions like these, policymakers need high-quality data.…

Classroom size, curriculum, and student attendance are all important factors that affect student outcomes, but these factors cannot compare to the classroom teacher's influence on student academic performance. Unfortunately, highly qualified teachers are not equally effective in different school settings. Findings associated with highly effective…

As they prepared for the 2016-2017 school year, administrators and teachers at Design Tech High School ("d.tech"), a public charter school in Northern California, decided they needed a deeper understanding of how students learn. According to Nicole Cerra, Director of Learning, "Obviously you need to get to know students…

The Fostering Connections to Success and Increasing Adoptions Act was implemented in 2008 (P.L. 110-351) in an effort to meet the needs of youth in foster care, including issues related to educational stability, educational services to support stability, and transition into higher education or the workforce. This article examines the written laws,…

Systems archetypes are patterns of structure found in systems that are helpful in understanding some of the dynamics within them. The intent of this study was to examine educational attainment data using the success-to-the-successful archetype as a model to see if it helps to explain the inequality observed in the data. Data covering 1990 to 2009…

The completion agenda is in full force at the nation's community colleges. To maximize the impact colleges can have on improving completion, colleges must organize around using student progress and outcome data to monitor and track their efforts. Unfortunately, colleges are struggling to identify relevant data and to mobilize staff to review…

Data analysis requires subtle probability reasoning to answer questions like "What is the chance of event A occurring, given that event B was observed?" This generic question arises in discussions of many intriguing scientific questions such as "What is the probability that an adolescent weighs between 120 and 140 pounds given that…

Violent crime incidents occurring in Irvington, New Jersey, in 2007 and 2008 are used to assess the joint analytical capabilities of point pattern analysis, hotspot mapping, near-repeat analysis, and risk terrain modeling. One approach to crime analysis suggests that the best way to predict future crime occurrence is to use past behavior, such as…

The selection and use of communication media has been the center of attention for a great number of researchers in the area of organizational communication. The channel expansion theory combines elements of the main theories in this area; however, these investigations have a static cross-sectional design rather than a longitudinal analysis. With…

Data mining is concerned with detecting patterns of data in raw datasets, which are then used to unearth knowledge that might not have been discovered using conventional querying or statistical methods. This discovered knowledge has been used to empower decision makers in countless applications spanning across many multi-disciplinary areas…

This study used exploratory data analysis (EDA) to examine the use of a biofeedback intervention in the treatment of anxiety for college students diagnosed with an Autism Spectrum Disorder (ASD) (n = 10) and in a typical college population (n = 37). The use of EDA allowed for trends to emerge from the data and provided a foundation for future…

Blessed by the Internet age, many online retailers (e.g., Amazon.com) have deployed recommender systems to help their customers identify products that may be of their interest in order to improve cross-selling and enhance customer loyalty. Collaborative Filtering (CF) is the most successful technique among different approaches to generating…