Challenges and Opportunities of Evidence Use in Practice in Australian Children's Development Programs.

This paper explores the role of evidence and its use in a cluster of Australian community-based child development programs. The paper draws on findings from a 2016-2017 study commissioned by a not-for-profit organization to review their programs' alignment with government evidence-based program expectations. Cunningham and Duffee's (2009) evidence-based practice style typology is utilized to examine how different purposes of use drive styles of and approaches to evidence sourcing, application, and reporting. Perspectives on what constitutes evidence and how such evidence is valued, used, and reported can vary considerably between individual programs, irrespective of enforced standards and expectations. It is argued that a single-dimensional approach to program evidence-based evaluation and reporting is not appropriate and potentially damaging in contexts where community-based programs have different purposes, structures, cultures, and intentions. Given a program's particular evidence-use style, evidence-based criteria, processes, and reporting requirements should be matched accordingly.

Supporting the education evidence portal via text mining.

The UK Education Evidence Portal (eep) provides a single, searchable, point of access to the contents of the websites of 33 organizations relating to education, with the aim of revolutionizing work practices for the education community. Use of the portal alleviates the need to spend time searching multiple resources to find relevant information. However, the combined content of the websites of interest is still very large (over 500,000 documents and growing). This means that searches using the portal can produce very large numbers of hits. As users often have limited time, they would benefit from enhanced methods of performing searches and viewing results, allowing them to drill down to information of interest more efficiently, without having to sift through potentially long lists of irrelevant documents. The Joint Information Systems Committee (JISC)-funded ASSIST project has produced a prototype web interface to demonstrate the applicability of integrating a number of text-mining tools and methods into the eep, to facilitate an enhanced searching, browsing and document-viewing experience. New features include automatic classification of documents according to a taxonomy, automatic clustering of search results according to similar document content, and automatic identification and highlighting of key terms within documents.