Educators perceived open data's broad scope, relevance to learners, authenticity, and value as a basis for data literacies as key characteristics for learning¶
Claim · All claims
Evidence · 1 study (2 entries) · qualitativer3·q2
Currency · newest study 2020 · 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? Educators identified broad scope supporting novel activities, relevance with motivational qualities, authentic real-world provenance, and value for teaching data literacies. → Tim Coughlan 2020
q2 i? Real-world provenance of data offers authenticity for exploring rich and complex issues and developing skills in real-world contexts. → Tim Coughlan 2020 (2)
Evidence¶
Tim Coughlan 2020¶
Tim Coughlan. (2020). The use of open data as a material for learning. Education Tech Research Dev. https://doi.org/10.1007/s11423-019-09706-y
q2 · i? · qualitative · r3
From the Characteristics for Learning findings of the interview study. The article reports that "the broad scope of the materials can support a wide variety of novel activities", with relevance to the learner or current affairs seen as motivational, and open data valued as a basis for learning data literacies.
"Firstly, the broad scope of the materials can support a wide variety of novel activities."
Tim Coughlan 2020 (2)¶
Tim Coughlan. (2020). The use of open data as a material for learning. Education Tech Research Dev. https://doi.org/10.1007/s11423-019-09706-y
q2 · i? · qualitative · r3
Interview finding on authentic experiences: educators such as G described unpredictability from a real plant genetics database, in contrast to contrived textbook examples, supporting the view that provenance "offers authenticity for the exploration of rich and complex issues".
"the real-world provenance of the data, and the processes through which it is collected, offers authenticity for the exploration of rich and complex issues"
Discussion¶
Related Claims¶
- Early adopter educators' rationales for teaching with open data fall into three groups: advanced subject-matter possibilities, public engagement through authentic inquiry, and motivation plus data literacies — possibly the same claim (merge candidate)
- Working with statistically messy authentic data in citizen science gave middle school students a window into scientists' world and intense experience with scientific reasoning — related
- Students and faculty value real-world examples in gateway math, but limited resources and training often lead to procedural instruction — related
Page metadata
| Field | Value |
|---|---|
type |
claim |
id |
open-data-characteristics-for-learning |
title |
Educators perceived open data's broad scope, relevance to learners, authenticity, and value as a basis for data literacies as key characteristics for learning |
description |
Educators perceived open data's broad scope, relevance to learners, authenticity, and value as a basis for data literacies as key characteristics for learning |
status |
review |
evidence_strength |
moderate |
newest_evidence |
2020 |
generated |
by process:wiki-ingest on 2026-10-28 |
trust |
unverified — no one has confirmed this page's content |
sources |
2 — tim-coughlan-2020, tim-coughlan-2020-2 |
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