To date, there has been little analysis of MSI Title III and V grant-funded programs across all MSI categories. For researchers, practitioners, and policymakers, it is imperative to explore the contributions of MSIs as manifested in Title III and V grant-funded programs. The purpose of this study is to analyze MSI Title III and V programs based on…

With a focus on exemplary practices, this article described and analyzed a principal's understanding of the conceptual framework of the US-based response-to-intervention and his strategies to mobilize school staff to understand and practice the model to achieve effective inclusive education with the principles of whole schooling. This principal…

The purpose of this study was to investigate the cognitive structures of chemistry teacher candidates about "stereochemistry." A case study research method, one of the qualitative research patterns, was used in the study and the sample of study involved 28 prospective chemistry teachers who had taken Organic Chemistry I and II courses at…

In 2014 the British government called on schools to actively promote fundamental British values (FBVs), seeing this as an effective way to prevent the radicalisation of young people. The government considers these values to include democracy, individual liberty, the rule of law and respect for people of different backgrounds and religions. Rather…

Objective: As children become increasingly exposed to health information and education, it is important to understand how these messages affect the way children speak about health and health behaviours. Children are social agents and co-constructors of their social worlds. Exploring how pre-school children speak about health and health-promoting…

The present study uses a text data mining approach to automatically discover learner interests in open learning environments. We propose a method to construct learner interests automatically from the combination of learner generated content and their dynamic interactions with other learning resources. We develop a learner-topic model to discover…

In step with the worldwide trend for higher educational institutes to establish areas of research emphasis,the accumulation of resources in key areas has become common practice in veterinary faculties. Although there are perceived logical benefits to research prioritisation, there have been very little critical retrospective analyses of research…

Over the past 20 years, many colleges and universities have made significant progress in building data warehouses and implementing business intelligence tools to provide better access to administrative data that were previously locked away in enterprise systems. However, the data architectures from the 1990s and 2000s are aging as new technologies…

While aggregate reasoning is a core aspect of statistical reasoning, its development is a key challenge in statistics education. In this study we examine how students' aggregate reasoning with samples and sampling (ARWSS) can emerge in the context of statistical modeling activities of real phenomena. We present a case study on the emergent ARWSS…

Over the past 25 years, performance measurement has gained salience in higher education, and with the explosion of structured data and the impact of business analytics and intelligence systems, there are new angles by which big volumes of data can be analyzed. Using traditional analytical approaches, pairs of reciprocal cohorts are considered as…

The study of earthquakes can help students build connections between theoretical analysis and real-world applications. However, units on earthquakes typically struggle to bridge that gap between theory and application. Traditional class activities focus on measuring earthquakes, such as triangulating epicenters by analyzing P and S wave arrival…

In this article, we identify and examine opportunities for formative assessment provided by information technologies (IT) and the challenges which these opportunities present. We address some of these challenges by examining key aspects of assessment processes that can be facilitated by IT: datafication of learning; feedback and scaffolding; peer…

A renewed interest in cloud computing adoption has occurred in academic and industry settings because emerging technologies have strong links to cloud computing and Big Data technology. Big Data technology is driving cloud computing adoption in large business organizations. For cloud computing adoption to increase, cloud computing must transition…

To evaluate interim progress toward the State-identified Measurable Result (SIMR), states require access to high-quality data from local education agencies (LEAs) and early intervention service providers. In a review of 2017 Phase III State Systemic Improvement Plans (SSIP), 43 Part C states noted limitations or concerns related to data and…

Educational data mining has gained a lot of attention among scientists in recent years and constitutes an efficient tool for unraveling the concealed knowledge in educational data. Recently, semisupervised learning methods have been gradually implemented in the educational process demonstrating their usability and effectiveness. Cotraining is a…