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…

Parceling is referred to as a procedure for computing sums or average scores across multiple items. Parcels instead of individual items are then used as indicators of latent factors in the structural equation modeling analysis (Bandalos 2002, 2008; Little et al., 2002; Yang, Nay, & Hoyle, 2010). Item parceling may be applied to alleviate some…

Hierarchical organization of schooling in all nations insures that international large-scale assessment data are multilevel where students are nested within schools and schools are nested within nations. Longitudinal follow-up of these students adds an additional level. Hierarchical or multilevel models are appropriate to analyze such data. A…

Numerous evidence-based classroom management strategies to prevent and respond to problem behavior have been identified, but research consistently indicates teachers rarely implement them with sufficient implementation fidelity. The purpose of this study was to evaluate the effectiveness of implementation planning, a strategy involving logistical…

The educational pipeline has become a commonly referenced depiction of educational outcomes for racialized groups across the country. While visually impactful, an overreliance on decontextualized quantitative data often leads to majoritarian interpretations. Without sociohistorical contexts, these interpretations run the risk of perpetuating…

In sub-Saharan Africa, young women are at the highest risk of HIV infection. Comprehensive sexuality education and open parent-child communication about sex have been shown to mitigate risky sexual practices associated with HIV. This study aimed to identify sources of HIV prevention knowledge among young women aged 10-14 years and community-based…

This quasiexperimental investigation describes the relative effects of a technology-driven course redesign on retention and achievement in a developmental writing program at a large, urban community college in the southwest United States. The new program focused on student learning and included online as well as face-to-face components that…

Through policies like No Child Left Behind, the federal government incentivized the use of student performance data as a core strategy for improving student achievement. The assumption behind these efforts is that data will be used to guide teacher practice and promote high-quality instruction. This study examined how teachers describe using data…

Student veterans face many challenges when transitioning to college. This two-phase study first examined their retention and persistence through the use of archival data at one Midwestern public university. Results indicated a 50% graduation rate, comparable to the national average and above that for nonveterans at the same university. The second,…

This empirical study investigates secondary science teachers' perspectives on science education reform in Taiwan and reflects how these teachers have been negotiating constructivist and learner-centered pedagogical approaches in contemporary science education. It also explores the challenges that teachers encounter while shifting their pedagogical…

Few studies have examined the impact of mastery learning on mastery goal structures or even on students' motivation more generally. In this study, we examined one middle school that implemented a schoolwide mastery learning system, conducting interviews with a sample of administrators (n = 3), teachers (n = 4), and students (n = 9) to determine…

Data science is emerging as a field that is revolutionizing science and industries alike. Work across nearly all domains is becoming more data driven, affecting both the jobs that are available and the skills that are required. As more data and ways of analyzing them become available, more aspects of the economy, society, and daily life will…

The IEA's International Civic and Citizenship Education Study (ICCS) investigates the ways in which young people are prepared to undertake their roles as citizens in a range of countries in the second decade of the 21st century. ICCS 2016 is the second cycle of a study initiated in 2009. This technical report follows the publication of several…