Eurokd
European KnowledgeDevelopment Institute
Language Teaching Research Quarterly

e‐ISSN

    

2667-6753

CiteScore

  exclamation mark

1.2

ICV

  exclamation mark

124.94

SNIP

  exclamation mark

0.604

SJR

  exclamation mark

0.283

CiteScore

  exclamation mark

1.2

ICV

  exclamation mark

124.94

SNIP

  exclamation mark

0.604

SJR

  exclamation mark

0.283

SCOPUSEBSCOProQuestCrossrefIndex CopernicusMIAR

Original Research

Assessing the Accuracy of Automated Writing Evaluation in Predicting English Language Arts Proficiency for Middle-Grade English Language Learners and Non-English Language Learners

Language Teaching Research Quarterly, Volume 51, Pages 247-272, https://doi.org/10.32038/ltrq.2025.51.04

This study examines the accuracy of fall, winter, and spring benchmark writing assessments, scored by the MI Write automated writing evaluation system, for predicting non-proficiency on the Smarter Balanced ELA assessment. This study considers how grade level, seasonality, and language status influence classification accuracy using Receiver Operating Characteristic (ROC) curve analyses. The results indicate that MI Write demonstrated acceptable overall classification accuracy, with the strongest performance among non-ELLs and Grade 7 students. However, accuracy was more inconsistent for ELLs. Across all grades and subgroups, the d-based cutpoints consistently provided the best balance between sensitivity and specificity. Implications for adopting AI-based assessment systems within the middle grades are discussed.

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Publisher’s Note

The claims, arguments, and counter-arguments made in this article are exclusively those of the contributing authors. Hence, they do not necessarily represent the viewpoints of the authors’ affiliated institutions, or EUROKD as the publisher, the editors and the reviewers of the article.

 

Acknowledgements

Not applicable.

 

Funding

The authors received no specific funding for this work.

 

CRediT Authorship Contribution Statement

Fan Zhang: Conceptualization, Methodology, Formal Analysis, Investigation, Writing – Original Draft, Writing – Review & EditingJoshua Wilson: Conceptualization, Methodology, Formal Analysis, Investigation, Writing – Original Draft, Writing – Review & Editing, Supervision

 

Generative AI Use Disclosure Statement

The authors utilized ChatGPT 4 to revise portions of this text for clarity.

 

Ethics Declarations

World Medical Association (WMA) Declaration of Helsinki–Ethical Principles for Medical Research Involving Human Participants

All procedures performed in this educational study adhered to the general ethical principles for research involving human participants, as outlined in the World Medical Association (WMA) Declaration of Helsinki (2013). The study protocol was specifically reviewed and approved by the University of Delaware Institutional Review Board (IRB) under the Exempt category, and the IRB granted a Waiver of Documentation of Consent.

 

Competing Interests

The authors declear no competing interests relative to this work.

 

Data Availability

Data is available upon reasonable request to the corresponding author.