mlsanityData to 7 Oct 2026

eRevise+RF: A Writing Evaluation System for Assessing Student Essay Revisions and Providing Formative Feedback

arXiv 2501.00715 ↗First posted 1 Jan 2025cs.CL cs.AIcited by 8

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Abstract (arXiv)

The ability to revise essays in response to feedback is important for students' writing success. An automated writing evaluation (AWE) system that supports students in revising their essays is thus essential. We present eRevise+RF, an enhanced AWE system for assessing student essay revisions (e.g., changes made to an essay to improve its quality in response to essay feedback) and providing revision feedback. We deployed the system with 6 teachers and 406 students across 3 schools in Pennsylvania and Louisiana. The results confirmed its effectiveness in (1) assessing student essays in terms of evidence usage, (2) extracting evidence and reasoning revisions across essays, and (3) determining revision success in responding to feedback. The evaluation also suggested eRevise+RF is a helpful system for young students to improve their argumentative writing skills through revision and formative feedback.

Key facts. Cited by 8 papers in the map (data through 7 Oct 2026). Builds on 11 of its 37 references that are in the map. First posted on arXiv 1 Jan 2025.

Builds on

11 of 37 references.

References · 11

  1. 2018BERT: Pre-training of Deep Bidirectional Transformers for Language Understandingcited by 40,204
  2. 2019DistilBERT, a distilled version of BERT: smaller, faster, cheaper and lightercited by 4,243
  3. 2022Understanding Iterative Revision from Human-Written Textcited by 56
  4. 2023ARIES: A Corpus of Scientific Paper Edits Made in Response to Peer Reviewscited by 34
  5. 2022Towards Automated Document Revision: Grammatical Error Correction, Fluency Edits, and Beyondcited by 20
  6. 2022NewsEdits: A News Article Revision Dataset and a Document-Level Reasoning Challengecited by 20
  7. 2024CASIMIR: A Corpus of Scientific Articles enhanced with Multiple Author-Integrated Revisionscited by 14
  8. 2021Annotation and Classification of Evidence and Reasoning Revisions in Argumentative Writingcited by 9
  9. 2023Predicting the Quality of Revisions in Argumentative Writingcited by 7
  10. 2019eRevise: Using Natural Language Processing to Provide Formative Feedback on Text Evidence Usage in Student Writingcited by 5
  11. 2020Automated Topical Component Extraction Using Neural Network Attention Scores from Source-based Essay Scoringcited by 3

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Cited by year (2026 to 7 Oct)

Citing papers per year: 2025: 4; 2026: 4.

8 papers.

  1. 2025AI-Slop to AI-Polish? Aligning Language Models through Edit-Based Writing Rewards and Test-time Computationcited by 24
  2. 2025Position: LLMs Can be Good Tutors in English Educationcited by 6
  3. 2025Efficient Layer-wise LLM Fine-tuning for Revision Intention Predictioncited by 3
  4. 2026PsyScore: A Psychometrically-Aware Framework for Trait-Adaptive Essay Scoring and ZPD-Scaffolded Feedbackcited by 2
  5. 2025FEANEL: A Benchmark for Fine-Grained Error Analysis in K-12 English Writingcited by 0
  6. 2026Intention-Adaptive LLM Fine-Tuning for Text Revision Generationcited by 0
  7. 2026Qayyem: A Real-time Platform for Scoring Proficiency of Arabic Essayscited by 0
  8. 2026Exploring the Effectiveness of Using LLMs for Automated Assessment of Student Self Explanations in Programming Educationcited by 0