This paper is a research dissertation based on a qualitative case study conducted on Teachers' Experiences within a Data-Driven Decision Making (DDDM) process. The study site was a Title I elementary school in a large school district in Central Florida. Background information is given in relation to the need for research that was conducted on the…

Effectively grouping learners in an online environment is a highly useful task. However, datasets used in this task often have large numbers of attributes of disparate types and different scales, which traditional clustering approaches cannot handle effectively. Here, a unique dissimilarity measure based on the random forest, which handles the…

Purpose: Various economic growth theories propose a view of globalisation resulting in economic convergence. However, others suggest economic divergence (i.e. a widening gap between global rich and poor) and others still, different patterns of development. Hence it is necessary to validate such globalisation hypotheses with sound quantitative…

Collaboration is generally recognized as a core competency of today's knowledge economy and has taken a central role in recent theoretical and technological developments in education research. Yet, the methodology for assessing the learning benefits of collaboration continues to rely on educational tests designed for isolated individuals. Thus,…

This article describes lessons learned about implementing evaluations in hospital settings. In order to overcome the methodological dilemmas inherent in this environment, we used a practical participatory evaluation (P-PE) strategy to engage as many stakeholders as possible in the process of evaluating a clinical demonstration project.…

Doctoral holders are considered to be key actors in the creation of innovation and knowledge. However, this generalization may not hold true for doctoral holders in all countries. This study sought to assess the scholarly productivity of these highly qualified individuals in Uganda. The investigation is based on data sourced from the 2012 Careers…

Growing evidence shows that participation in out-of-school time (OST) activities positively supports youth development in general. However, simply participating in a self-identified STEM program is not sufficient. Youth will benefit more if they participate in "quality" afterschool programs. Therefore, a common understanding of quality…

In this paper, we propose a set of activities based on the use of a celestial simulator to gain insights into the retrograde motion of Mars as seen from the Earth. These activities provide a useful link between the heliocentric concepts taught in schools and those tackled in typical introductory physics courses based on classical mechanics for…

Introduction: We present a prototype collaboratory, a socio-technical platform to support sharing research data collection instruments in library and information science. No previous collaboratory has attempted to facilitate sharing digital research data collection instruments among library and information science researchers. Method: We have…

The introduction of a planetary science topic into teaching provides an opportunity for teachers to broaden the science base and offer an enrichment activity outside the National Curriculum. It enables students to undertake independent learning by engaging in a scientific investigation relevant to the real world. Here, more able students are given…

This article presents activities appropriate for the first half of a general introductory statistics course. All activities revolve around the same data set collected early in the course. The activities require students to make decisions about how they should proceed. (Contains 2 tables and 5 figures.)

This paper examines the role of Big Data Analytics in addressing contemporary challenges associated with current changes in institutions of higher education. The paper first explores the potential of Big Data Analytics to support instructors, students and policy analysts to make better evidence based decisions. Secondly, the paper presents an…

Graphs are widely used to model structures and relationships of objects in various scientific and commercial fields. Chemical molecules, proteins, malware system-call dependencies and three-dimensional mechanical parts are all modeled as graphs. In this dissertation, we propose to mine and index those graph data to enable fast and scalable search.…

1.2 billion users in Facebook, 17 million articles in Wikipedia, and 190 million tweets per day have demanded significant increase of information processing through Internet in recent years. Similarly life sciences and bioinformatics also have faced issues of processing Big data due to the explosion of publicly available genomic information…

The number of academic institutions offering courses online has increased with courses being offered across almost all academic disciplines. Faculty members are often confronted with the responsibility of converting a face-to-face course to an online course while simultaneously dealing with new technologies and the interrelationship between the…