Cited by 99Student Assessment and FeedbackIntelligent Tutoring Systems and Adaptive LearningEFL/ESL Teaching and Learning

Presentation, expectations, and experience: Sources of student perceptions of automated writing evaluation

Roscoe, Rod D., Wilson, Joshua, Johnson, Adam C., Mayra, Christopher R.·2017·Computers in Human Behavior

Integrity signals

Registry

Crossref · 10.1016/j.chb.2016.12.076

Cites

66 of 66 references verified0 citation errors · 0 not checkable

Statistics

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

Claims the paper makes

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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?

  • ChatGPT could be used to grade assignments and provide feedback to students in real time.

    “ChatGPT could be used to grade assignments and provide feedback to students in realtime, allowing for a more efficient and personalised learning experience (J.Gao, 2021;Roscoe et al., 2017;Zawacki-Richter et al., 2019).”

    From Chatting and cheating: Ensuring academic integrity in the era of ChatGPT (2024) · cites this paper as Roscoe et al., 2017

Cites

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2 of the 68 references couldn’t be matched to a known paper.

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Authors
Roscoe, R. D., Wilson, J., Johnson, A. C., & Mayra, C. R.
Affiliations
  • Arizona State University (US)
  • University of Delaware (US)
Corresponding author
Roscoe, Rod D.
Venue
Computers in Human Behavior
Publisher
Elsevier BV
Published
2017-05
Volume
70
Pages
207-221
ISSN
0747-5632 (ISSN-L)
OpenAlex
W2571231634
Cited by
98
References
68
Citations by year
2026: 8 · 2025: 14 · 2024: 15 · 2023: 13 · 2022: 9 · 2021: 12 · 2020: 7 · 2019: 7 · 2018: 8 · 2017: 5
FWCI
26.34
Type
journal article
Language
en
Open access
closed
Locations
Computers in Human Behavior (publishedVersion)
Funders
Institute of Education Sciences (IES R305A120707)
Topics
  • Social Sciences › Education › Student Assessment and Feedback
  • Physical Sciences › Computer Science › Artificial Intelligence › Intelligent Tutoring Systems and Adaptive Learning
  • Social Sciences › Arts and Humanities › Language and Linguistics › EFL/ESL Teaching and Learning
Keywords
automated writing evaluation, automated essay scoring, student perceptions, expectations, technology acceptance, writing revision, writing performance, technology adoption intention, educational technology, writing instruction

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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.

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