Scientists use specific terms to denote concepts, objects, phenomena, etc. The terms are then connected with each other in sentences that are used in science-specific language. Representing these connections through term networks can yield valuable insights into central terms and properties of the interconnections between them. Furthermore,…

Based on 52 studies with samples mostly from English-speaking countries, the current study used Bayesian network meta-analysis to investigate the intervention effectiveness of different reading comprehension strategy combinations on reading comprehension among students with reading difficulties in 3rd through 12th grade. We focused on commonly…

We investigate the sub-networks involved in education policy in Israel in recent years, using Mixed Methods Social Networks Analysis - drawn from combined analysis of qualitative and quantitative data. Our objective was to comprehensively explore the Israeli education policy network to deliver an understanding of its structure, actors, and…

Purpose: The application of artificial intelligence chatbots is an emerging trend in educational technology studies for its multi-faceted advantages. However, the existing studies rarely take a perspective of educational technology application to evaluate the application of chatbots to educational contexts. This study aims to bridge the research…

Classroom social networks are influential to young children's cognitive, social-emotional, and language development, but assessment and analyses of social networks are complex. Findings have been mixed regarding whether different informants (teachers, children, researchers) are congruent to their perceived classroom social networks. There is also…

Reading comprehension requires readers to connect ideas within and across texts to produce a coherent mental representation. One important factor in that complex process regards the cohesion of the document(s). Here, we tackle the challenge of providing researchers and practitioners with a tool to visualize text cohesion both within (intra) and…

Interest in understanding regulation in the context of collaborative learning has increased in the past decade. Existing studies have investigated how regulated learning evolves in collaborative learning by focusing on external behaviors, and how different types and strategies of regulation are effective in promoting collaborative learning. Due to…

Today, various methods have been developed with a purpose to determine the number of factors underlying a construct. However, there is no definitive agreement on which techniques to be preferred to extract the underlying dimensions. To this end, Exploratory Graphical Analysis (EGA), a recently proposed method, has been compared with traditional…

This study used network meta-analysis to investigate the impact of the use of interactive learning environments (ILE) tools (augmented reality (AR), virtual reality (VR), mixed reality (MIX), and interactive digital games (GAME)) in science education on learning outcomes. A total of 53 primary studies were retrieved from the literature according…

Network analysis is a topic in secondary mathematics education of growing importance because it offers students an opportunity to understand how to model and solve many authentic technology and engineering problems. However, very little is known about how students make sense of the algorithms typically used in network analysis. In this study, I…

Ethnically and racially diverse schools provide students opportunities to socially interact with both same- and cross-ethnic peers that can shape their sense of belonging within a school. This study investigates the extent to which same- or cross-ethnic friends influence feelings of school belonging in two large, diverse U.S. high schools (total N…

Information literacy is a core research topic in the field of library and information science. The developmental context of this field can be examined through a long-term retrospective analysis of relevant literature. This study explored the research trends and potential research issues in the top 100 most frequently cited articles on information…

Like learning analytics, physics education research is a relatively young field that draws on perspectives from multiple disciplines. Network analysis has an even more heterodox perspective, with roots in mathematics, sociology, and, more recently, computer science and physics. This paper reviews how network analysis has been used in physics…

Research in plastic and visual education covers a wide variety of topics and problems of inquiry. My objective was to identify and analyze the research in this discipline from the past decade on Web of Science; to describe the significant scientific production; and to detect thematic lines, approaches, and models. A mixed method was applied,…

Fundamental motor skills (FMSs) are building blocks for future movements and may vary according to cultural context. Moreover, network analysis can identify which skills contribute most to an overall set of skills. This study identified the most influential FMS in samples of U.S. and Brazil preschoolers that may contribute to a pattern of adequate…