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…

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…

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…

Extensive research underscores the importance of stimulating students' interest in learning, as it can improve key educational outcomes such as self-regulation, collaboration, problem-solving, and overall enjoyment. Yet, the mechanisms through which interest manifests and impacts learning remain less explored, particularly in open-ended game-based…

There is less attention on examining algorithmic fairness in secondary education dropout predictions. Also, the inclusion of protected attributes in machine learning models remains a subject of debate. This study delves into the use of machine learning models for predicting high school dropouts, focusing on the role of protected attributes like…

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…

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…

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.…

This study aims (a) to examine proposals that apply a pedagogical models intervention on motivational variables and basic psychological needs satisfaction and (b) to compare whether the hybridization of models demonstrates a greater effect on basic psychological needs satisfaction than the application of pedagogical models. Pedagogical models play…

In semantic fluency tasks, participants employ semantic search strategies (clustering and switching) to facilitate word retrieval. Clustering involves producing sequences of related words, while switching refers to shifting between different semantic categories. Analyzing these strategies provides insights into the structure of the mental lexicon…

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…