Background: Interrupted time series (ITS) studies contribute importantly to systematic reviews of population-level interventions. We aimed to develop and validate search filters to retrieve ITS studies in MEDLINE and PubMed. Methods: A total of 1017 known ITS studies (published 2013-2017) were analysed using text mining to generate candidate…

Education for Sustainable Development focuses on improving environmental knowledge to combat misinformation and promote sustainable behaviours. In two experiments, we investigated whether retrieval practice, known to foster lasting knowledge acquisition, is a useful tool for (1) increasing environmental knowledge and (2) for improving…

Citation indices providing information on backward citation (BWC) and forward citation (FWC) links are essential for literature discovery, bibliographic analysis, and knowledge synthesis, especially when language barriers impede document identification. However, the suitability of citation indices varies. While some have been analyzed, the…

While geographic search filters exist, few of them are validated and there are currently none that focus on Germany. We aimed to develop and validate a highly sensitive geographic search filter for MEDLINE (PubMed) that identifies studies about Germany. First, using the relative recall method, we created a gold standard set of studies about…

With the rapid development of information technologies, online learning platforms have become the most convenient way for users(teachers and learners) to share their learning content. However, due to the increasing number of educational content, it becomes very difficult for learners to find the most appropriate items. Most previous methods…

Information Literacy education is challenged by an ever-changing and complex environment. The design and development of current and effective Information Literacy education requires a thorough understanding of how young people search information online, which mainly happens with generalist search engines. The present study involved a voluntary…

This paper proposes an online learning platform learner DM method based on the improved fuzzy C clustering (FCM) algorithm, constructs a learner feature database, and combines clustering analysis and SPSS statistical methods to statistically summarize the big data of law, thus improving the deficiencies of static and absolute classification of…