AI-assisted automated scoring of picture-cued writing tasks for language assessment
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
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?
LLMs have demonstrated the ability to generate descriptions of images, including data charts and scientific diagrams.
“Specifically, LLMs have demonstrated the ability to generate descriptions of images, including data charts and scientific diagrams [53, 71, 91].”
From How University Disability Services Professionals Write Image Descriptions for HCI Figures Using Generative AI (2026) · cites this paper as [91]
Cites
Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks
Ren, S., He, K., Girshick, R., & Sun, J. (2017) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2016.2577031 · Cited by 56,035 · see citing works
Hattie, J., & Timperley, H. (2007) · Review of Educational Research · doi:10.3102/003465430298487 · Cited by 12,905 · see citing works
Stacked Cross Attention for Image-Text Matching
Lee, K.-H., Chen, X., Hua, G., Hu, H., & He, X. (2018) · Lecture Notes in Computer Science · doi:10.1007/978-3-030-01225-0_13 · Cited by 1,402 · see citing works
Align before Fuse: Vision and Language Representation Learning with Momentum Distillation
Li, J., Selvaraju, R. R., Gotmare, A. D., Joty, S., Xiong, C., & Hoi, S. (2021) · arXiv · doi:10.48550/arxiv.2107.07651 · Cited by 1,078 · see citing works
A Comprehensive Survey of Deep Learning for Image Captioning
Hossain, M. Z., Sohel, F., Shiratuddin, M. F., & Laga, H. (2019) · ACM Computing Surveys · doi:10.1145/3295748 · Cited by 879 · cited 1× · see citing works
“…the visual-semantic similarity between a sentence and an image, and it has been widely adopted in various applications such as image captioning (Hossain et al., 2019), neural machine translation (Toyama et al., 2016), and especially the retrieval of text descriptions from image queries and…”
BackgroundA framework for evaluation and use of automated scoring
Williamson, D. M., Xi, X., & Breyer, F. J. (2012) · Educational Measurement: Issues and Practice · doi:10.1111/j.1745-3992.2011.00223.x · Cited by 430 · see citing works
Digital support for academic writing: A review of technologies and pedagogies
Strobl, C., Ailhaud, E., Benetos, K., Devitt, A., Kruse, O., Proske, A., & Rapp, C. (2019) · Computers & Education · doi:10.1016/j.compedu.2018.12.005 · Cited by 298 · see citing works
Link, S., Mehrzad, M., & Rahimi, M. (2022) · Computer Assisted Language Learning · doi:10.1080/09588221.2020.1743323 · Cited by 275 · see citing works
Automated Writing Evaluation and Feedback: Multiple Metrics of Efficacy
Wilson, J., & Roscoe, R. D. (2020) · Journal of Educational Computing Research · doi:10.1177/0735633119830764 · Cited by 176 · see citing works
Automated essay scoring: Psychometric guidelines and practices
Ramineni, C., & Williamson, D. M. (2013) · Assessing Writing · doi:10.1016/j.asw.2012.10.004 · Cited by 127 · see citing works
Wilson, J., Ahrendt, C., Fudge, E. A., Raiche, A., Beard, G., & MacArthur, C. (2021) · Computers & Education · doi:10.1016/j.compedu.2021.104208 · Cited by 118 · cited 1× · see citing works
“…besides providing automatic scores in large-scale standardized testing contexts, automated writing assessment tools have been widely used in different educational contexts, and have transformed writing instruction in helpful and challenging ways (Palermo & Thomson, 2018; Wilson et al., 2021).”
BackgroundPalermo, C., & Thomson, M. M. (2018) · Contemporary Educational Psychology · doi:10.1016/j.cedpsych.2018.07.002 · Cited by 107 · see citing works
Flagged first, then by citations
Cited by
Sorted by citations
Yavuz, F., Çelik, Ö., & Yavaş Çelik, G. (2025) · British Journal of Educational Technology · doi:10.1111/bjet.13494 · Cited by 121 · see citing works
Chen, A., Zhang, Y., Jia, J., Liang, M., Cha, Y., & Lim, C. P. (2025) · Journal of Computer Assisted Learning · doi:10.1111/jcal.13064 · Cited by 67 · see citing works
Raees, M., Iwamoto, Y., Papangelis, K., Heard, J., & Tigwell, G. W. (2026) · arXiv · doi:10.48550/arxiv.2602.08937 · Cited by 1 · see citing works
“However, DSO professionals, often tasked to meet regulatory compliance and accessibility needs, face challenges with writing alt text for figures in scientific publications outside their”
- Authors
- Zhao, R., Zhuang, Y., Zou, D., Xie, Q., & Yu, P. L. H.
- Affiliations
- Education University of Hong Kong (HK)
- Corresponding author
- Yu, Philip L. H.
- Venue
- Education and Information Technologies
- Published
- 2022-11-28
- Volume
- 28
- Issue
- 6
- Pages
- 7031-7063
- ISSN
- 1360-2357 (ISSN-L)
- 1573-7608
- OpenAlex
- W4310154890
- Cited by
- 40
- References
- 12
- Citations by year
- 2026: 15 · 2025: 14 · 2024: 8 · 2023: 3
- FWCI
- 6.19
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- Locations
- Education and Information Technologies (publishedVersion)
- Funders
- One-off Special Fund from Central and Faculty of the Education University of Hong Kong (02136)
- Start-Up Research Grant of the Education University of Hong Kong (RG41/20-21R)
- Youth Elite Supporting Plan in Universities of Anhui Province (gxyqZD2019077)
- Higher Education Teaching and Research Project of Anhui Province (2020jyxm0633)
- Topics
- Physical Sciences › Computer Science › Information Systems › Artificial Intelligence in Education
- Physical Sciences › Computer Science › Information Systems › Educational Technology and Assessment
- Physical Sciences › Computer Science › Artificial Intelligence › Natural Language Processing Techniques
- Keywords
- automated essay scoring, language assessment, cross-modal matching, K-12 students, teacher workload reduction, writing task design
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
