Toward a Systematic Evidence-Base for Science in Out-of-School Time: The Role of Assessment

Analyzes the tools used in assessments of afterschool and summer science programs, explores the need for comprehensive tools for comparisons across programs, and discusses the most effective structure and format for such a tool. Includes recommendations

The perceived quality of process discovery tools

Process discovery has seen a rise in popularity in the last decade for both researchers and businesses. Recent developments mainly focused on the power and the functionalities of the discovery algorithm. While continuous improvement of these functional aspects is very important, non-functional aspects such as visualization and usability are often overlooked. However, these aspects are considered valuable for end-users and play an important part in the experience of these end-users when working with a process discovery tool. A questionnaire has been sent out to give end-users the opportunity to voice their opinion on available process discovery tools and about the state of process discovery as a domain in general. The results of 66 respondents are presented and compared with the answers of 63 respondents that were contacted through one particular software vendor's employee and customer base (i.e., Celonis)

Finding and tracking multi-density clusters in an online dynamic data stream

The file attached to this record is the author's final peer reviewed version.Change is one of the biggest challenges in dynamic stream mining. From a data-mining perspective, adapting and tracking change is desirable in order to understand how and why change has occurred. Clustering, a form of unsupervised learning, can be used to identify the underlying patterns in a stream. Density-based clustering identifies clusters as areas of high density separated by areas of low density. This paper proposes a Multi-Density Stream Clustering (MDSC) algorithm to address these two problems; the multi-density problem and the problem of discovering and tracking changes in a dynamic stream. MDSC consists of two on-line components; discovered, labelled clusters and an outlier buffer. Incoming points are assigned to a live cluster or passed to the outlier buffer. New clusters are discovered in the buffer using an ant-inspired swarm intelligence approach. The newly discovered cluster is uniquely labelled and added to the set of live clusters. Processed data is subject to an ageing function and will disappear when it is no longer relevant. MDSC is shown to perform favourably to state-of-the-art peer stream-clustering algorithms on a range of real and synthetic data-streams. Experimental results suggest that MDSC can discover qualitatively useful patterns while being scalable and robust to noise

Fundamental concepts in management research and ensuring research quality : focusing on case study method

This paper discusses fundamental concepts in management research and ensuring research quality. It was presented at the European Academy of Management annual conference in 2008

Avenues for Export Diversification: Issues for Low-Income Countries

While diversification of exports is often a desirable trade objective, it is far from clear how best to tap into new opportunities. This paper discusses the range of avenues of diversification, including (i) expanding the range of markets into which existing products are sold (geographic diversification); (ii) upgrading the value of existing products, including agricultural exports (quality diversification); and (iii) taking advantage of opportunities to expand non-merchandise exports (services diversification), in addition to introducing entirely new export products. All offer opportunities for cost-effective positive policies relating to the incentive regime, backbone services, and export support institutions.Exports, trade, services, growth, low income countries, world markets

Aligning Evidence-Based Practice With Translational Research: Opportunities for Clinical Practice Research

Magnet(R) and other organizations investing resources in evidence-based practice (EBP) are ideal laboratories for translational nursing research. Translational research, the study of implementation of evidence into practice, provides a unique opportunity to leverage local EBP work for maximum impact. Aligning EBP projects with rigorous translational research can efficiently meet both EBP and research requirements for Magnet designation or redesignation, inform clinical practice, and place organizations at the leading edge of practice-based knowledge development for the nursing discipline