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…

Exploratory data analysis (EDA), data visualization, and visual analytics are essential for understanding and analyzing complex datasets. In this project, we explored these techniques and their applications in data analytics. The case discusses Tableau, a powerful data visualization tool, and Google BigQuery, a cloud-based data warehouse that…

The National Institute of Mental Health created the National Database for Autism Research (NDAR) to accelerate autism knowledge through data sharing and collaboration. However, our experience using NDAR reveals systematic challenges across several aspects of data submission, selection, management, and analysis that limit utility of this resource.…

Shoeprints are a common type of evidence found at crime scenes and are regularly used in forensic investigations. However, their utility is limited by the lack of reference footwear databases that cover the large and growing number of distinct shoe models. Additionally, existing methods for matching crime-scene shoeprints to reference databases…

Objective: Examine the impact of the campus food environment on postsecondary students' dietary behaviors (e.g., dietary intake) and food purchasing. Participants: Students currently attending a postsecondary institution, all ages and geographic locations included. Methods: A systematic search from January 2000-October 2022 was conducted in six…

This scoping review aims to identify and systematically review published mapping reviews to assess their commonality and heterogeneity and determine whether additional efforts should be made to standardise methodology and reporting. The following databases were searched; Ovid MEDLINE, Embase, CINAHL, PsycINFO, Campbell collaboration database,…

This study employs a bibliometric analysis to present the shifting trends in research on teacher competence through an interdisciplinary approach, solely based on scientific contributions shared in the Scopus database. Searches are conducted in the database using search criteria such as "teacher competence" or "teacher…

Teaching strategies used by teachers have a direct impact on how well their students learn high-order thinking skills. The purpose of this study was to summarise prior research on the application of higher-order thinking skills from the perspective of a teacher in Islamic education. The PRISMA guidelines were used to search for the relevant…

This study aims to create a comprehensive bibliometric map of published scientific articles on e-learning in mathematics education (ME). We used Web of Science (WoS) database to analyzed 341 articles published by 1018 authors representing 79 countries between 2012 and 2022. In this context, we examined scientific articles in terms of scientific…

Rapid review methodology aims to facilitate faster conduct of systematic reviews to meet the needs of the decision-maker, while also maintaining quality and credibility. This systematic review aimed to determine the impact of different methodological shortcuts for undertaking rapid reviews on the risk of bias (RoB) of the results of the review.…

Purpose: Critical thinking (CT) in higher education institutions (HEIs) is rarely examined using bibliometric methods to provide a better reference path for future research. This study aims to provide a broad survey of the bibliometric literature on CT in HEIs. Design/methodology/approach: Compiled from the Scopus database, there were 670 articles…

Inspired by the evolving nature of qualitative research, this study aims to examine the use of "qualitative survey", a newer technique in qualitative data collection methods than interviews and observation. In addition to trends in research capacity, collaborations and research topics, the extent to which this data collection method has…

Understanding the trends and developments in artificial intelligence research in science education, which has rapidly advanced in recent years, is crucial for technological innovations and applications in education. Therefore, this study examines research on artificial intelligence in science education conducted between 2019 and 2023 (the last…

Metacognition refers to the capacity to comprehend and manage one's own cognitive processes, enabling the recognition of biases and presumptions that might influence them. Numerous published studies indicate that through metacognition, enhancements in critical-thinking skills allow individuals to query information, assess data, and make more…

AI technology, which is becoming more widespread day by day, also affects education and training processes. The use of AI tools in educational environments provides many benefits to teachers and students. However, the use of AI in education also raises some ethical concerns. The aim of this study was to reveal the ethical issues arising from the…