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Mireia Bolíbar; Julia Martínez-Ariño; Maria Schiller – Field Methods, 2025
We propose a new method for analyzing and visualizing information on a large collection of personal networks to uncover the socio-centric structure of relationships among aggregated actors that we clustered into categories. The network of categories identifies the links between groups of sampled ego actors sharing a given attribute (e.g.,…
Descriptors: Measurement Techniques, Data Analysis, Data Collection, Networks
Li, Hua; Shih, Ming-Chieh; Song, Cheng-Jie; Tu, Yu-Kang – Research Synthesis Methods, 2023
Network meta-analysis combines direct and indirect evidence to compare multiple treatments. As direct evidence for one treatment contrast may be indirect evidence for other treatment contrasts, biases in the direct evidence for one treatment contrast may affect not only the estimate for this particular treatment contrast but also estimates of…
Descriptors: Network Analysis, Meta Analysis, Bias, Evidence
Karley A. Riffe; Bryson K. Daniels; Kate Collier – Educational Planning, 2025
Generally, discussions of shared governance in higher education do not include university committees. This study addresses this gap, through the lens of open systems, reconceptualized loosely coupled systems, and micro foundations. Using social network analysis, this study explores the documented governance networks of formal university committees…
Descriptors: Governance, Participative Decision Making, Committees, Higher Education
Ziqian Wei; Shuting Yin; Roy B. Clariana; Xuqian Chen – Educational Technology Research and Development, 2025
Theories and practices to enhance multiple document comprehension and integration are crucial in both personal and work contexts, especially with the proliferation of printed and online sources. This experimental investigation replicates and extends (Wei et al., Educational Technology Research and Development 72:661-685, 2024) to examine how…
Descriptors: Prereading Experience, Expository Writing, Descriptive Writing, Prompting
Zhan, Zehui; Mei, Hu; Liang, Ting; Huo, Liming; Bonk, Curtis; Hu, Qintai – Interactive Learning Environments, 2023
The purpose of this study is to examine the effect of material incentives on the knowledge-sharing networks and information lifecycles of a public online forum. The users' interaction data were collected from two similar sub-forums, and one of them provided material incentives for sharing knowledge. After collecting user behaviors for one natural…
Descriptors: Longitudinal Studies, Incentives, Networks, Computer Mediated Communication
Graphical Tools for Visualizing the Results of Network Meta-Analysis of Multicomponent Interventions
Seitidis, Georgios; Tsokani, Sofia; Christogiannis, Christos; Kontouli, Katerina-Maria; Fyraridis, Alexandros; Nikolakopoulos, Stavros; Veroniki, Areti Angeliki; Mavridis, Dimitris – Research Synthesis Methods, 2023
Network meta-analysis (NMA) is an established method for assessing the comparative efficacy and safety of competing interventions. It is often the case that we deal with interventions that consist of multiple, possibly interacting, components. Examples of interventions' components include characteristics of the intervention, mode (face-to-face,…
Descriptors: Networks, Network Analysis, Meta Analysis, Intervention
Azin Yazdi – Discover Education, 2025
The use of metaverse in mathematics education has revolutionized the way the subject is taught. Metaverse provides immersive and engaging experiences that enhance understanding and enable access to previously inaccessible places. This research discusses papers in the field of metaverse and mathematics, including annual scientific outputs,…
Descriptors: Computer Simulation, Mathematics Education, Bibliometrics, Networks
Ziyan Yang; Jia Hu; Shaochun Zhong; Lan Yang; Geyong Min – Education and Information Technologies, 2025
Intelligent technology plays a pivotal role in revolutionizing learning assessments, overcoming the constraints of traditional assessment methods and driving educational innovation. Knowledge tracing (KT) emerges as a critical component for assessing students' learning states and forecasting their future performance. However, existing graph-based…
Descriptors: Learning Processes, Artificial Intelligence, Graphs, Concept Mapping
Jennifer Lin Russell; Anthony S. Bryk; Jennifer Zoltners Sherer – Peabody Journal of Education, 2025
The Improvement Network Health and Development Framework (INHD Framework) sets a vision for a complex new organizational form for practical problem solving: the Networked Improvement Community (NIC). One critical test of this idealized framework is to explore its usefulness in describing variation in these deliberatively formed, temporary…
Descriptors: Networks, Educational Improvement, Public Schools, Communities of Practice
Stephanie J. Blackmon; Robert L. Moore – Journal of Computing in Higher Education, 2024
As learning analytics use grows across U.S. colleges and universities, so does the need to discuss the plans, purposes, and paths for the data collected via learning analytics. More specifically, students, faculty, and others who are impacted by learning analytics use should have more information about their campus' learning analytics practices…
Descriptors: Learning Analytics, Networks, Models, Ethics
Wagner, S.; Priemer, B. – International Journal of Science Education, 2023
This article introduces a network approach to describe the quality of written scientific explanations. Existing approaches evaluate explanations mainly on the level of sentences or as a whole but not on the elementary level of single terms. Moreover, evaluation of explanations is often based on highly inferential scoring techniques. We addressed…
Descriptors: Scientific Concepts, Networks, Concept Mapping, Mathematics
Douglas, Alaster Scott – Teaching in Higher Education, 2023
Doctoral work is often characterised as lonely and isolating (Holbrook et al. 2014). This paper explores how collaboration with peers and other professionals supports the doctoral learning experience. The research study asks what networks doctoral students engage with and how their engagement in networks supports their studies. Semi-structured…
Descriptors: Doctoral Programs, Doctoral Students, Cooperation, Social Networks
Naama Sadan – Environmental Education Research, 2025
Although environmental education (EE) scholars celebrate the diversity of organizations that engage in this work, the challenge remains how to bring these organizations together. Over the last decade, scholars have called for building bridges, but we still know very little about organizational networking and integration processes in EE. In this…
Descriptors: Environmental Education, Networks, School Districts, Capacity Building
David Sherer; Anthony S. Bryk; Angel Yee-Lam Li; Jennifer Zoltners Sherer; Jennifer Lin Russell; Mai Anh Bui – Peabody Journal of Education, 2025
The leaders of Networks for School Improvement (NSIs) have complex, challenging jobs which require constant learning and adaptation. To support these leaders, the contributors to this volume have developed a survey-based data visualization system--the Improvement Network Health Development (INHD) Information System--designed to generate insight…
Descriptors: Information Systems, Design, Networks, Visualization
Daniel Z. Grunspan; Regis Komperda; Erika G. Offerdahl; Anna E. Abraham; Sara Etebari; Samantha A. Maas; Julie A. Roberts; Suhail Ghafoor; Sara E. Brownell – Physical Review Physics Education Research, 2024
Reforming the professionalization experiences of future faculty members, including their undergraduate experience, provides a possible means to create scalable change in higher education. However, this requires an understanding of where faculty undergraduate training occurs. We analyze data from 7748 tenure-line faculty members across 611 U.S.…
Descriptors: Physics, Reputation, Institutional Characteristics, College Faculty

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