Preprints play an important role in scholarly conversation. This paper examines perceptions of preprints through the lens of students using a simulated Google environment. Data were collected from 116 high school, community college, undergraduate, and graduate students with attention toward the helpfulness, credibility, and identification of…

This paper examines literature from the COVID-19 period (2020-2022) to outline prevalent themes and essential competencies in the post-COVID era. Employing informetrics within a quantitative research approach, the study scrutinizes Scopus database data using COVID-19, e-learning, e-commerce, and media and information literacy terms. Results reveal…

Background: The National Institute for Health and Care Excellence's (NICE) United Kingdom (UK) geographic search filters for MEDLINE and Embase (Ovid) retrieve evidence in literature searches for UK-focused research topics with high recall. Their precision and number-needed-to-read (NNR) was examined previously in case studies using a single…

Psychologist Pooja Agarwal, who has researched how various brain-based strategies to improve learning work in actual classrooms, describes the strong effects of "retrieval practice"--the practice of encouraging students to retrieve and "pull out" information they have learned from memory. Check out these powerful strategies.

This study aims to examine the studies on computer-assisted teaching in science teaching in terms of different variables with bibliometric analysis. Scopus database was used to collect the data. The phrase "science education and computer-assisted teaching" was written in Scopus on 11_07_2023, and 1232 publications were found. Since not…

Research using school discipline and infraction data has contributed to public policy conversations by helping elucidate the effects of and disproportionate experience of school disciplinary outcomes. This research brief presents results from an analysis of the public availability of such data from state departments of education. Findings suggest…

ChatGPT is a conversational AI model that offers unique opportunities for personalized learning, students' engagement, and educational support. This study aims to investigate the influence of the top 30 most cited articles in the realm of ChatGPT in education. Employing a descriptive approach, bibliometric analysis was conducted on a combined…

Introduction: In recent years, hybrid methodologies have undergone considerable development. For sport pedagogy research, this mixed methods design is helpful because it moves beyond paradigm wars or conflicts between qualitative and quantitative research. However, mixed research in physical education remains rare, whereas the literature is much…

Feedback is a crucial component of student learning. As advancements in technology have enabled the adoption of digital learning environments with assessment capabilities, the frequency, delivery format, and timeliness of feedback derived from educational assessments have also changed progressively. Advanced technologies powered by Artificial…

The purpose of this study is to examine the trends in recent years by focusing on the bibliometric results of previous studies on scientific creativity. For this purpose, a total of 370 publications on scientific creativity obtained from Web of Science and Scopus databases were examined in terms of different bibliometric variables, and they were…

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.…

Artificial intelligence (AI) is increasingly exploited to promote student engagement. This study combined topic modelling, keyword analysis, trend test and systematic analysis methodologies to analyse AI-supported student engagement (AIsE) studies regarding research keywords and topics, AI roles, AI systems and algorithms, methods and domains,…

This study aims to investigate the effect of the flipped learning model in science education. Therefore, articles in the Web of Science database were analyzed using the systematic review method. During the research, 1627 data points were obtained using the keyword 'flipped learning.' Articles between 2013 and 2023 were examined during the research…

Background/purpose: This study conducts a systematic review of research articles related to English as a Foreign Language (EFL) learners' motivation under Organismic Integration Theory (OIT) in the early 2020s (between 2020 and 2024), based on PRISMA statement 2020 (Page et al., 2021), to find out about what recent trends in research on EFL…

While the use of artificial intelligence in education is a prominent area of research, it has also become a collaborative application for educational institutions. These institutions are working to develop AI-based systems to enhance existing educational frameworks. Accordingly, this study conducts a bibliometric analysis of research on artificial…