The NSF EXP collaboration network connected 238 researchers across 87 projects and 116 expertise areas¶
Claim · All claims
Evidence · 1 study · associationalr1·q2
Currency · newest study 2024 · not yet checked against its sources · not reviewed by a person
Subclaims¶
Reading the evidence codes
q is the design tier, i the impact, n the sample, and the kind with its r
the rigour judged within that kind: what each code means.
This claim: no standardized effect is recorded in observations/ for it yet, so no benchmark reading is possible.
q2 i? Social network analysis of NSF project collaborations from 2011 to 2022 depicted 238 researchers connected to 87 projects representing 116 expertise areas. → Prado 2024
Evidence¶
Prado 2024¶
Prado, Y.; Ouyang, S.; Risha, Z.; Ferguson, C.; Gardner, S.; Mallavarapu A.; Kelley, C.; Martin, W.; Glazer, K.; Hampton, S.; Fusco, J.; Pillai, S.; Walker, E.; Roschelle, J. (2024). Unveiling the Value of Exploration: Insights from NSF-Funded Research on Emerging Technologies for Teaching and Learning [Report]. Digital Promise. https://doi.org/10.51388/20.500.12265/230
q2 · i? · associational · r1
Social network analysis visualizing investigator relationships, with projects (blue nodes) connected to investigators (red nodes) and topic areas via has-expertise edges. The analysis aimed to show diversity of expertise and intensity of inter-expertise collaboration.
"This network depicts 238 researchers connected to 87 projects and represents 116 expertise areas that form the “building blocks” for interdisciplinary research in this community."
Discussion¶
Related Claims¶
- Equity and accessibility expertise areas were cold spots in the NSF EXP community, with fewer than two projects over three years — related
- Equity and social justice research topics rose in prominence in the NSF EXP portfolio between 2017 and 2021 while research became more AI-focused — related
- Publications from NSF EXP exploratory projects showed more novel topic pairings than a random sample of publications from the same database — related
- The most frequent research tags in the NSF EXP portfolio were AI, machine learning, modeling and simulation, formative assessment, and augmented/virtual/mixed reality — related
- Epistemic network analysis shows high-learning groups integrate re-annotations with knowledge-confirming discourse more densely than low-learning groups — related
- Principals in implementation networks reported moderate school improvement from working with external partners and other network schools, attributed largely to teacher collaboration — related
- Collaborative learning appeared in 36 funded projects, embodied learning in 15, and identity theories in 9 — related
- Coauthorship analysis of workshop organizers yields a 2,197-author network with six communities, 80% of nodes in the largest three, spanning diverse research lineages — related
Page metadata
| Field | Value |
|---|---|
type |
claim |
id |
nsf-exp-network-238-researchers-87-projects |
title |
The NSF EXP collaboration network connected 238 researchers across 87 projects and 116 expertise areas |
description |
The NSF EXP collaboration network connected 238 researchers across 87 projects and 116 expertise areas |
status |
review |
evidence_strength |
weak |
newest_evidence |
2024 |
generated |
by process:wiki-ingest on 2026-10-09 |
trust |
unverified — no one has confirmed this page's content |
sources |
1 — prado-2024 |
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