Preliminary comparison of the performance of the National Library of Medicine's systematic review publication type and the sensitive clinical queries filter for systematic reviews in PubMed

Objective:The National Library of Medicine (NLM) inaugurated a “publication type” concept to facilitate searches for systematic reviews (SRs). On the other hand, clinical queries (CQs) are validated search strategies designed to retrieve scientifically sound, clinically relevant original and review articles from biomedical literature databases. We compared the retrieval performance of the SR publication type (SR[pt]) against the most sensitive CQ for systematic review articles (CQrs) in PubMed.Methods:We ran date-limited searches of SR[pt] and CQrs to compare the relative yield of articles and SRs, focusing on the differences in retrieval of SRs by SR[pt] but not CQrs (SR[pt] NOT CQrs) and CQrs NOT SR[pt]. Random samples of articles retrieved in each of these comparisons were examined for SRs until a consistent pattern became evident.Results:For SR[pt] NOT CQrs, the yield was relatively low in quantity but rich in quality, with 79% of the articles being SRs. For CQrs NOT SR[pt], the yield was high in quantity but low in quality, with only 8% being SRs. For CQrs AND SR[pt], the quality was highest, with 92% being SRs.Conclusions:We found that SR[pt] had high precision and specificity for SRs but low recall (sensitivity), whereas CQrs had much higher recall. SR[pt] OR CQrs added valid SRs to the CQrs yield at low cost (i.e., added few non-SRs). For searches that are intended to be exhaustive for SRs, SR[pt] can be added to existing sensitive search filters.     

Terra Populus: Workflows for Integrating and Harmonizing Geospatial Population and Environmental Data

The Terra Populus project (TerraPop) addresses a variety of data management, curation, and preservation challenges with respect to spatiotemporal population and environmental data. In this article, we describe our approaches to these challenges, with a particular focus on geospatial data workflows and associated provenance metadata. The goal of TerraPop is to enable research, learning, and policy analysis by providing integrated spatiotemporal data describing people and their environment. To do so, TerraPop is assembling a globe-spanning and temporally extensive collection of high-quality population and environmental data, ensuring good documentation, and developing a Web-based data access system that enables users to assemble customized integrated data sets drawing on a variety of data sources and formats. We describe TerraPop's collection strategies, detail the geospatial workflows involved in preparing data for ingest into the project database and those used to transform data across formats for dissemination, and discuss the system used to capture and manage provenance metadata throughout the project. A key aspect of the project is the development of global current and historical administrative unit boundaries that can be linked to census data. These boundaries serve as the linchpin of TerraPop's data integration strategy, and constitute an important data set in their own right.     

A comparison of learning and motivation among high school students

The academic performance of minority high school students, particularly in urban inner-city settings, is of great interest to educators and individuals concerned with the academic development of these students. It is widely recognized that in order to positively influence academic achievement related factors such as learning and study behavior, motivation, attitudes, self-concept, and other pertinent psychosocial characteristics should also be targeted for positive change. The present study compared 20 sophomore students who participated in a special program and 128 of their nonprogram peers on achievement and related measures. The program at a target high school was structured to positively impact achievement, as well as related student behavior and attributes. Significant differences were found on achievement, attendance, learning and study behavior and skills, self-concept, and other pertinent psychosocial attributes.     

Computer Manipulatives in an Ordinary Differential Equations Course: Development, Implementation, and Assessment

The d’Arbeloff Interactive Mathematics Project or d’AIMP is an initiative that seeks to enhance and ultimately transform the teaching and learning of introductory mathematics at the Massachusetts Institute of Technology. A result of this project is a suite of “mathlets,” a carefully developed set of dynamic computer applets for use in the university’s ordinary differential equations course. In this paper, we present the rationale for such computer innovations, the philosophy behind their design, as well as a discussion of their careful development and implementation. Survey results are reported which yielded positive student feedback and suggestions for improvement.

Beyond the Classroom: A Framework for Growing School Capacity in a Digital Age

Abstract

Rapid technological advancements promise unprecedented educational opportunities to foster student-centered and personalized learning, yet many schools are underprepared, lacking comprehensive organizational strategies for technology enhanced learning. This study sought to provide a framework to guide K-12 school leaders to build and evaluate digital-age school capacity by identifying essential criteria for digital learning in schools, resulting in the development of the Digital Learning Implementation Framework for Education (D-LIFE). Geographically dispersed digital learning experts contributed to a six-round Delphi study gaining consensus on 148 essential criteria for school administrators and policymakers to appraise strategic evaluation of technology implementation. When compared to prominent frameworks, D-LIFE confirmed high-level alignment with ISTE Essential Conditions, providing a comprehensive evaluation framework for K–12 schooling not addressed in prominent standards or frameworks.