Cited by 22Academic integrity and plagiarismEducation during COVID-19 pandemicDigital Education and Society

Cheating-Detection Companies Made Millions During the Pandemic. Now Students Are Fighting back *

Harwell, Drew·2022·Ethics of Data and Analytics

Abstract

“Online proctoring” companies saw in coronavirus shutdowns a chance to capitalize on a major reshaping of education, selling schools a high-tech blend of webcam-watching workers and eye-tracking software designed to catch students cheating on their exams. Students argue that the testing systems have made them afraid to click too much or rest their eyes for fear they&s;ll be branded as cheats. The companies, with names like ProctorU, Respondus and Honorlock, advertise a wide range of cheater-nabbing tech that can lock down students&s; Web browsers, track their computer activity or connect their microphones and webcams to large call centers of “proctors” paid to watch the students take their tests. Fear of setting off the systems&s; alarms has led students to contort themselves in unsettling ways. The proctoring companies have argued they&s;re a champion for student success and privacy, but many students aren&s;t convinced.

Integrity signals

Registry

Crossref · 10.1201/9781003278290-60

Cites

Statistics

Recomputing p-values needs the paper’s full text.

Claims the paper makes

This paper’s full text isn’t openly available, so its claims and self-check weren’t run. The registry and citation checks still apply.

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

  • Remote proctoring methods can lead to heightened anxiety, privacy concerns, and a potential loss of trust between students and educational institutions.

    “These methods can lead to heightened anxiety, privacy concerns, and a potential loss of trust between students and educational institutions.”

    From Generative AI detection in higher education assessments (2025) · cites this paper as Harwell, 2022

  • The experience with remote proctoring solutions during the COVID-19 pandemic highlighted the limitations and negative consequences of such surveillance approaches.

    “The experience with remote proctoring solutions during the COVID-19 pandemic highlighted the limitations and negative consequences of such surveillance approaches (Harwell, 2022).”

    From Generative AI detection in higher education assessments (2025) · cites this paper as Harwell, 2022

Cites

Still being checked.

Cited by

Sorted by citations

Authors
Harwell, D.
Corresponding author
Harwell, Drew
Venue
Ethics of Data and Analytics
Published
2022-03-16
Pages
410-417
OpenAlex
W4220749847
Cited by
22
References
0
Citations by year
2026: 2 · 2025: 1 · 2024: 8 · 2023: 3 · 2022: 2 · 2021: 6
FWCI
12.31
Type
book chapter
Language
en
Open access
closed
Locations
Auerbach Publications eBooks (publishedVersion)
Topics
  • Social Sciences › Safety Research › Academic integrity and plagiarism
  • Social Sciences › Education › Education during COVID-19 pandemic
  • Physical Sciences › Computer Science › Information Systems › Digital Education and Society
Keywords
online proctoring, academic dishonesty, COVID-19 pandemic, remote examinations, student privacy, eye tracking software, webcam monitoring, student protest, school surveillance

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review