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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
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
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
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
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
Harari, Ofir; Soltanifar, Mohsen; Cappelleri, Joseph C.; Verhoek, Andre; Ouwens, Mario; Daly, Caitlin; Heeg, Bart – Research Synthesis Methods, 2023
Effect modification (EM) may cause bias in network meta-analysis (NMA). Existing population adjustment NMA methods use individual patient data to adjust for EM but disregard available subgroup information from aggregated data in the evidence network. Additionally, these methods often rely on the shared effect modification (SEM) assumption. In this…
Descriptors: Networks, Network Analysis, Meta Analysis, Evaluation Methods
Hugg, Victor G.; Siciliano, Michael D.; Daly, Alan J. – Educational Administration Quarterly, 2022
Purpose: School leaders rely on a number of collaborative policy tools to address fiscal and governance issues. While prior research has examined the dynamics and implications of research-practice and public-private partnerships, this study addresses a third form of collaboration: interdistrict cooperative agreements. Method: We develop a unique…
Descriptors: Public Schools, School Districts, Institutional Characteristics, Educational Cooperation
Sharif, Ahlam Ammar – SAGE Open, 2022
Built environment research has long been interested in understanding the complexities of transitional spaces by investigating their hosted interactions. One approach used in efforts of this kind is actor-network theory (ANT), which conceptualizes built spaces as networks of relations that allow for certain interactions but not others. Previous…
Descriptors: Physical Environment, Networks, Network Analysis, Ethnography
Explaining Trace-Based Learner Profiles with Self-Reports: The Added Value of Psychological Networks
Jelena Jovanovic; Dragan Gaševic; Lixiang Yan; Graham Baker; Andrew Murray; Danijela Gasevic – Journal of Computer Assisted Learning, 2024
Background: Learner profiles detected from digital trace data are typically triangulated with survey data to explain those profiles based on learners' internal conditions (e.g., motivation). However, survey data are often analysed with limited consideration of the interconnected nature of learners' internal conditions. Objectives: Aiming to enable…
Descriptors: Psychological Patterns, Networks, Profiles, Learning Processes
Simon M. Ceh; Alexander P. Christensen; Izabela Lebuda; Mathias Benedek – Creativity Research Journal, 2024
The present study explored the public conceptualization of creativity on Twitter through co-listed hashtags associated with #creativity in a million tweets. Exploratory Graph Analysis was used to identify a network of semantic clusters, and a pre-trained language model yielded the sentiment of the underlying tweets. The semantic clusters reflect…
Descriptors: Creativity, Social Media, Telecommunications, Semantics
Laura Cruz; Chris Garrett; Chris Price; Jeremy Schneider; Jessica Tinklenberg – To Improve the Academy, 2025
Since 1997, the Professional and Organizational Development (POD) Network has hosted the Institute for New Educational Developers (INED), a multi-day event intended to help people just entering the field. While each iteration of the INED is enacted in a highly localized and contextualized fashion, each seeks to address the needs of the intended…
Descriptors: Educational Development, Design, Case Studies, Faculty Development
Denok Sunarsi; Horas Djulius; Azhar Affandi; Sidik Priadana; Umi Narimawati; Iman Sudirman – Journal of Education and Learning (EduLearn), 2025
The COVID-19 pandemic has brought unprecedented challenges and opportunities for knowledge management systems (KMS) in various domains and sectors. This research explores the strategies to manage expectational knowledge in higher education after the COVID-19 pandemic. This study employed a qualitative research method with a case study design to…
Descriptors: COVID-19, Pandemics, Knowledge Management, Expectation