Claims

Making open data usable for learning requires substantial educator work: finding suitable data, refining and curating sources, and coping with poor formats and documentation

Claim · All claims
Evidence · 1 study (2 entries) · qualitative r3 · 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? All interviewees reported that finding good data for a purpose could be a substantial undertaking, and refining and curating sources was common. → Tim Coughlan 2020 q2 i? Poor choices in data formats and documentation could lead to student misinterpretation of data and additional challenges for educators. → 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 Making Data Usable findings: all ten interviewees discussed finding suitable data, and educator K described "a lot of curation and cleaning up and digging" before an open data set had value in a learning context.

"a lot of curation and cleaning up and digging…before that open data set has any value in the context of learning"

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 understanding formats and documentation: four interviewees reported that unclear documentation could leave student work with "a false note to it, because they have used the data incorrectly", and one found data points had changed between course presentations.

"Four interviewees emphasised that poor choices in data formats and documenta- tion could lead to the potential misinterpretation of data by students and additional chal- lenges for educators."

Discussion

Page metadata
Field Value
type claim
id open-data-making-data-usable-challenges
title Making open data usable for learning requires substantial educator work: finding suitable data, refining and curating sources, and coping with poor formats and documentation
description Making open data usable for learning requires substantial educator work: finding suitable data, refining and curating sources, and coping with poor formats and documentation
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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