Evidence map›Paper›PMID 40477940›Full record

ArticlePolicy futures in education2023

Educational futures after COVID-19: Big tech and pandemic profiteering versus education for democracy.

Trevor Norris

Abstract read
In one paragraph

Article in Policy futures in education, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
  2. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

1 author.

Trevor NorrisSocial Foundations of Education, Brock University, St. Catharines, ON, Canada.ORCID https://orcid.org/0000-0002-4695-1202

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

To address the dramatic economic contraction brought on by the global pandemic, governments at all levels have taken on tremendous debt in order to provide economic stability and prevent a more dramatic collapse. It is likely that, as the initial phase of the pandemic passes, familiar neoliberal austerity claims about the necessity to trim education budgets will gain greater force and acceptance. However, I suggest that these neoliberal policies demand sacrifices of the wrong constituency: Given that Big Tech has amassed huge sums of money over the course of the pandemic, how is it morally justifiable that tech companies benefit from the pandemic while educational institutions shoulder the financial fallout of pandemic government spending? In this paper, I first outline how Big Tech profits from the education sector during the pandemic even as it undermines the democratic function of education in doing so. I then situate these more specific critiques within a broader consideration of the role technology plays in undermining a democratic society. In conclusion, I argue that a pandemic profiteering tax for Big Tech represents the best short-term solution to get ahead of the "austerity curve" and ensure that the COVID-19 crisis serves as an opportunity to deepen our commitments to promoting the democratic function education. Without such commitments, the pandemic will become the turning point at which Big Tech effectively coopts public education for its own ends, to the detriment of democracy. My underlying claim is that technology is in conflict with both democracy and education. This runs against the widespread notion that technology will help promote learning, and that technology helps inform and connect people and therefore helps promote democracy. In what follows I dispel such notions.

Indexed as

austeritybig techdemocracy and educationdemocratic educationeducational technologyeducation futures

Identifiers

PMID40477940
PMCPMC8919093

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.