Cited by 546EFL/ESL Teaching and LearningStudent Assessment and FeedbackSecond Language Acquisition and Learning

The DOI matches its Crossref record; 49 of the 56 references it cites were found in a registry or an index; 2 of the 31 sources its claims cite were checked for support.

Student engagement with teacher and automated feedback on L2 writing

Open access
Zhang, Zhe (Victor), Hyland, Ken·2018·Assessing Writing

Overview

Integrity signals

Registry

Crossref · 10.1016/j.asw.2018.02.004

Cites

49 of 50 references verified0 citation errors · 1 not checkable

Statistics

Nothing to recompute.

Verification

Claims the paper makes

2 of 31 cited sources checked · 0 supported · 0 flagged · accuracy not yet measured

Show all 52 claims

  • It may state two separate claims as one. 78
  • Probably not a substantial claim. 29
  • The quote only partly states this claim. 1
98 of 98
  • The paper relies on this without support.

    The AWE system's score is a valid indicator of the quality of the student's writing.

    “Together with her improved score, this indicated that Flora spent some time revising her essay and made efforts to improve the quality of her writing.”
  • The paper relies on this without support.

    The number of resubmissions to the AWE system is a valid indicator of behavioral engagement with revision.

    “The high number of resubmissions to the programme show that Flora was fully engaged behaviorally with the revision task.”
  • The paper relies on this without support.

    Time gaps between AWE submissions indicate reflection about the revision process.

    “The timestamp, moreover, shows that she wrote her revisions over two days with one-week between them, indicating some reflection about the process between submissions.”
  • The paper relies on this without support.

    The AWE score is a valid indicator of writing quality or improvement.

    “The negligible increase of the score shows his revision was not effective.”
    “More wounding was the score the AWE awarded him.”
  • The paper relies on this without support.

    The AWE system's diagnosis of errors is accurate.

    “When comparing the two drafts, we also noticed that many errors diagnosed by the AWE system were not properly addressed.”
    “David made 35 errors in seven categories: adjective, noun, verb, spelling, punctuation, collocation, and sentence structure.”
  • The paper relies on this without support.

    Revision operations such as deletion and correction are valid indicators of the depth of cognitive engagement.

    “To understand how David cognitively engaged with the AWE feedback we analyzed the revision operations he used.”
    “this deletion strategy suggests that David's lack of English proficiency restricted his understanding of the feedback and contributed to a lack of deep engagement with teacher feedback.”
  • The paper relies on this without support.

    The teacher feedback symbols (circles, underlines, question marks) indicated problem areas in the student's text.

    “instead of directly addressing the problem areas circled and underlined”
    “his inability to decode the symbols limited his engagement”
7 of 7

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?

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

Each contradiction between two passages listed here was confirmed by an independent check.

  • David's affective response is described inconsistently

    Minor

    The paper says David showed virtually no affective engagement with either source, yet elsewhere explicitly identifies an affective connection with the teacher.

1 of 1

Citations

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Items 501–538 of 538

Metadata

Authors
Zhang, Z. (., & Hyland, K.
Affiliations
  • University of Hong Kong (HK)
  • University of East Anglia (GB)
Corresponding author
Zhang, Zhe (Victor)
Venue
Assessing Writing
Publisher
Elsevier BV
Published
2018-04
Volume
36
Pages
90-102
ISSN
1075-2935 (ISSN-L)
OpenAlex
W2793493211
Cited by
546
References
56
Citations by year
2026: 101 · 2025: 99 · 2024: 104 · 2023: 80 · 2022: 58 · 2021: 58 · 2020: 29 · 2019: 12 · 2018: 4
FWCI
145.68
Type
journal article
Language
en
Open access
Locations
  • Assessing Writing (publishedVersion)
  • UEA Digital Repository (University of East Anglia) (submittedVersion)
Topics
  • Social Sciences › Arts and Humanities › Language and Linguistics › EFL/ESL Teaching and Learning
  • Social Sciences › Education › Student Assessment and Feedback
  • Social Sciences › Psychology › Developmental and Educational Psychology › Second Language Acquisition and Learning
Keywords
student engagement, automated writing evaluation, teacher feedback, second language writing, formative assessment, writing development, Chinese learners of English, writing instruction

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.

A language model drew the claims from the paper on 2026-10-11, under version 3 of the claim definition (model deepseek-v4.1-flash, prompt extract-v3).

A second model labelled each claim on 2026-10-11 (model jev-1.13-20260917, definition revision gold-guideline-v0.2).

Cited sources are checked with a language model’s help (gpt-6-sol).

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.

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