Predictive analytics can benefit education only if educators heed how their use should differ from industry¶
Claim · All claims
Evidence · 1 study · theoreticalr2·q1
Currency · newest study 2015 · 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.
q1 i? The article argues predictive analytics in education offers benefits conditional on educators recognizing differences between industry and schooling use. → James Soland 2015
Evidence¶
James Soland 2015¶
James Soland. (2015). Is Moneyball the next big thing in education? Phi Delta Kappan 96(4), 64–67. https://www.nwea.org/research/publication/is-moneyball-the-next-big-thing-in-education/ doi:10.1177/0031721714561450
q1 · i? · theoretical · r2
The article's abstract states its central conditional thesis as an expert argument, offering no data: analytics "can offer a benefit as long as educators heed the differences" between industry and schooling use.
"Predictive analytics in education can offer a benefit as long as educators heed the differences between how the tools are used in industry and how they should be used differently in schooling."
Discussion¶
Related Claims¶
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Page metadata
| Field | Value |
|---|---|
type |
claim |
id |
predictive-analytics-benefit-heed-schooling-differences |
title |
Predictive analytics can benefit education only if educators heed how their use should differ from industry |
description |
Predictive analytics can benefit education only if educators heed how their use should differ from industry |
status |
review |
evidence_strength |
weak |
newest_evidence |
2015 |
generated |
by process:wiki-ingest on 2026-10-09 |
trust |
unverified — no one has confirmed this page's content |
sources |
1 — james-soland-2015 |
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