The Systematic Review Toolbox aims provide a web-based catalogue of tools that support various tasks within the systematic review and wider evidence synthesis process. Identifying publications surrounding specific systematic review tools is currently challenging, leading to a high screening burden for few eligible records. We aimed to develop a…

This bibliometric study aims to map the value education model research to provide direction for future research, especially in education and teaching. It is essential because value is the core of education. After all, in addition to opening the window of knowledge, education also has a role in transferring values for internalizing them in the…

The National Center for Biotechnology Information Entrez Direct (EDirect) software facilitates programmatic access to numerous biomedical, chemical, and literature databases from within a Unix terminal. EDirect has traditionally been used for command line access to NCBI data within the fields of computational biology and bioinformatics. This…

MATLAB live scripts are useful for reproducible programmatic compilation of chemical data and literature. In this article, we use a combination of the PubChem PUG REST Application Programming Interface (API), Structured Data Query (SDQ) agent, and text extraction with MATLAB live scripts that allow programmatic PubChem similarity searching, SMARTS…

Background: Both PubMed and Ovid MEDLINE contain records from the MEDLINE database. However, there are subtle differences in content, functionality, and search syntax between the two. There are many instances in which researchers may wish to search both interfaces, such as when conducting supplementary searching for a systematic review to retrieve…

As the fields of learning analytics and learning design mature, the convergence and synergies between the two are becoming an important area for research. This paper intends to summarize the main outcomes of a systematic review of empirical evidence on learning analytics for learning design. Moreover, this paper presents an overview of what and…

Machine learning (ML) algorithms have proven highly accurate for identifying Randomized Controlled Trials (RCTs) but are not used much in practice, in part because the best way to make use of the technology in a typical workflow is unclear. In this work, we evaluate ML models for RCT classification (support vector machines, convolutional neural…

This work describes the design and construction of an open source, entity resolution system that enables users to assign and maintain persistent identifiers for master data items. Two key features of this system that are not available in current ER systems and that make persistent identification possible are (1) The capture and management of…

The use of online language corpora in L2 teaching and learning is gaining momentum largely because corpora are an easily accessed source of language input that potentially provide rich and authentic lexico-grammatical data. This can be of particular use for students' writing as its incorporation can enhance the appearance of native-like fluency.…

Purpose: Presently, searching the internet for learning material relevant to ones own interest continues to be a time-consuming task. Systems that can suggest learning material (learning objects) to a learner would reduce time spent searching for material, and enable the learner to spend more time for actual learning. The purpose of this paper is…

Hardware and software filters, which sift through keywords placed in Internet search engines and online databases, work to limit the return of information from these sources. By their very purpose, filters exist to decrease the amount of information researchers can access. The purpose of this study is to gain insight into the perceptions key…

Higher Education institutions in the United States are considering Open Source software applications such as the Moodle and Sakai course management systems and the Kuali financial system to build integrated learning environments that serve both academic and administrative needs. Open Source is presumed to be more flexible and less costly than…

This paper describes online newsmedia databases which have been intentionally designed to respond to needs for information that is more current than the information in printed indexes or online versions of these indexes. It is suggested that these databases are useful to libraries because, in addition to subject indexing, they have "word…

Discusses natural language retrieval systems, focusing on West Publishing Company's WIN (Westlaw Is Natural) system used with its case law database. Information retrieval models, the advantages and disadvantages of natural language retrieval, and the use of the approach by Congressional Quarterly's Washington Alert, Personal Librarian, and other…

Describes the McKenna Information Center's application of BRS/SEARCH, information retrieval software, as part of its services to Kennmetal Inc., its parent company. Features and uses of the software, including commands, custom searching, menu-driven interfaces, preparing reports, and designing databases are covered. Nine examples of software…