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Deom, Gina; Fiorini, Stefano; McConahay, Mark; Shepard, Linda; Teague, Julie – College and University, 2021
The spread of COVID-19 has caused major disruptions in the higher education space, and colleges and universities faced difficult decisions on how to reopen their campuses. At Indiana University Bloomington, student exposure to other students was reduced by leveraging the existing academic calendar and strategically managing course enrollment…
Descriptors: Data Use, Decision Making, Network Analysis, COVID-19
Kezar, Adrianna J.; Holcombe, Elizabeth M. – Educational Policy, 2021
An emerging body of literature suggests that systemic efforts to change institutions are enhanced when change actors utilize multiple approaches or strategies to change that capitalize on their individual, team, or organizational assets. Given that little research in higher education has examined the ways leaders deploy multiple strategies in…
Descriptors: Educational Change, STEM Education, Change Strategies, Higher Education
Fincham, Ed; Rozemberczki, Benedek; Kovanovic, Vitomir; Joksimovic, Srecko; Jovanovic, Jelena; Gasevic, Dragan – IEEE Transactions on Learning Technologies, 2021
In this article, we empirically validate Tinto's Student Integration model, in particular, the predictions the model makes regarding both students' academic outcomes and their dropout decisions. In doing so, we analyze three decades' worth of student enrollments at an Australian university and present a novel methodological approach using graph…
Descriptors: Models, Prediction, Outcomes of Education, Dropouts
Sturludóttir, Erla Guðrún; Arnardóttir, Eydís; Hjálmtýsson, Gísli; Óskarsdóttir, María – International Educational Data Mining Society, 2021
Gaining insight into course choices holds significant value for universities, especially those who aim for flexibility in their programs and wish to adapt quickly to changing demands of the job market. However, little emphasis has been put on utilizing the large amount of educational data to understand these course choices. Here, we use network…
Descriptors: Course Selection (Students), Undergraduate Students, Engineering Education, Business Administration Education
Myra Keener Watson – ProQuest LLC, 2021
Students who transfer from a two-year institution to a four-year institution often have some difficulty settling into their new university home, but a combination of social and academic supports can ease the transition. This change to a new institution can be even more difficult for students who are transitioning into a fully-online program.…
Descriptors: College Transfer Students, Online Courses, Academic Support Services, Social Networks
Barringer, Sondra N.; Taylor, Barrett J.; Slaughter, Sheila – Journal of Higher Education, 2019
Trustees span the boundaries between universities and their environments, and therefore may connect universities to other organizations. We use social networks and latent profile analyses to chart changes in the affiliations that trustees of AAU member universities maintained with other organizations from 1975 through 2015. Results identify a…
Descriptors: Trustees, Social Networks, Governing Boards, Profiles
Baker, Rachel – Research in Higher Education, 2018
Concerns about the low completion rates in community colleges have led policy makers and administrators to examine interventions that aim to increase persistence and success by making colleges easier to navigate for students. One of the best supported and most well researched of the current reforms is "guided pathways" which aims to…
Descriptors: Social Networks, Network Analysis, Community Colleges, Two Year College Students
Weyori, Alirah Emmanuel; Amare, Mulubrhan; Garming, Hildegard; Waibel, Hermann – Journal of Agricultural Education and Extension, 2018
Purpose: We assess farm technology adoption in an integrated analysis of social networks and innovation in plantain production in Ghana. The paper explores the strength of social networks in the agricultural innovation systems (AISs) and the effect of AISs on adoption of improved farm technology. Methodology/Approach: The paper uses social network…
Descriptors: Agricultural Production, Social Networks, Social Capital, Innovation
Rienties, Bart; Tempelaar, Dirk – Journal of the Learning Sciences, 2018
Most research related to learning in groups focuses on the unit of the group and/or group members. However, students may benefit from crossing the boundaries of their own group, as students in different groups may provide access to new, nonredundant knowledge and opportunities for learning. Whether boundary crossing between groups is beneficial…
Descriptors: Social Networks, Cooperative Learning, Learning Strategies, Network Analysis
Headington, Rita – Practitioner Research in Higher Education, 2018
The nature and significance of students' informal peer feedback networks is an under-explored area. This paper offers the findings of a longitudinal investigation of the informal peer feedback networks of a cohort of student teachers [n = 105] across the three years of a UK primary education degree programme. It tracked the dynamic nature of these…
Descriptors: Feedback (Response), Informal Education, Peer Evaluation, Peer Groups
Gardner, Josh; Brooks, Christopher; Li, Warren – Journal of Learning Analytics, 2018
In this paper, we evaluate the complete undergraduate co-enrollment network over a decade of education at a large American public university. We provide descriptive and exploratory analyses of the network, demonstrating that the co-enrollment networks evaluated follow power-law degree distributions similar to many other large-scale networks; that…
Descriptors: Markov Processes, Classification, Undergraduate Students, Grade Point Average
Manca, Stefania – Research in Learning Technology, 2018
ResearchGate and Academia.edu have been increasingly acknowledged as the most popular academic social network sites (ASNS) for scholarly communication. Along with their benefits for supporting communication and knowledge sharing within academic communities, concerns over quality and credibility remain a pertinent issue. In terms of research…
Descriptors: Literature Reviews, Social Networks, Scholarship, Electronic Publishing
Jessani, Nasreen S.; Babcock, Carly; Siddiqi, Sameer; Davey-Rothwell, Melissa; Ho, Shirley; Holtgrave, David R. – Evidence & Policy: A Journal of Research, Debate and Practice, 2018
Background: Relationships between academic faculty and decision makers have been documented as an important factor in the evidence-to-policy process. However, knowledge about the breadth, depth and dynamic quality of these relationships often remains unknown therefore rendering the potential for influence untapped, uncoordinated, redundant or…
Descriptors: College Faculty, Social Networks, Network Analysis, Interpersonal Relationship
Mapila, Mariam A. T. J.; Yauney, Jason; Thangata, Paul; Droppelmann, Klaus; Mazunda, John – Journal of Agricultural Education and Extension, 2016
Purpose: The sector-wide approach currently dominates as the strategy for developing the agricultural sector of many African countries. Although recognised that collaborative agricultural research is vital in ensuring success of sector-wide agricultural development strategies; there have been few efforts to understand the dynamics of national…
Descriptors: Foreign Countries, Agricultural Occupations, Agriculture, Networks
Donegan, Sarah; Dias, Sofia; Tudur-Smith, Catrin; Marinho, Valeria; Welton, Nicky J. – Research Synthesis Methods, 2018
Background: Meta-regression results must be interpreted taking into account the range of covariate values of the contributing studies. Results based on interpolation or extrapolation may be unreliable. In network meta-regression (NMR) models, which include covariates in network meta-analyses, results are estimated using direct and indirect…
Descriptors: Graphs, Networks, Meta Analysis, Regression (Statistics)

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