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Student inspects own writing with magnifying glass while small robot points at a line; mirror reflects the scene.
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Research · Teaching & Learning

GenAI-supported internal feedback intervention for writing improvement: The roles of evaluative judgment and student-AI interaction in a cluster-randomized experimental study

Source: Computers & Education. Summarized by Human Learning Review.

Summary

This is a research article published in Computers & Education, Volume 257, with a publication date of February 2027. It's written by Shijun (Cindy) Chen, Christian D. Schunn, Jie Cao, Seyyed Kazem Banihashem, Dragan Gašević and Yizhou Fan. The study asks whether an intervention that uses generative AI to support students' internal feedback can help them improve their writing.

The title identifies the design as a cluster-randomized experimental study. Two factors get particular attention in how the authors frame the work. The first is students' evaluative judgment, and the second is the way students interact with the AI during the intervention. The title presents both as playing roles in writing improvement.

The material supplied for this page contains the title and author list without any abstract text. It doesn't describe the sample, the measures, the results or any limitations, so this summary can't report what the authors found or how large any effects were.

Main points

  • The study tests an intervention that uses generative AI to support students' internal feedback, with writing improvement as the target outcome.
  • The title describes the research as a cluster-randomized experimental study.
  • The authors examine the roles that students' evaluative judgment and their interaction with the AI play in writing improvement.
  • The supplied material gives no findings or limitations, so the study's results can't be stated here.

This page is a short summary of a research paper. The full piece belongs to Computers & Education, and preprints may not have been peer reviewed.

Read the original at Computers & Education
Research · arXiv · November 5, 2026

Thinking Is Not Writing: Designing AI Chatbots to Connect Reasoning and Revision

A classroom study of 65 secondary students compared a Socratic writing chatbot, which questions arguments without generating essay text, against a control chatbot sharing the same interface and model. Students using the Socratic tool engaged more in idea-level dialogue, and moves from discussed ideas to actual revisions were associated with score gains. The authors propose coordinating reflection with revision as a design target for AI writing support.

Summary and main points
A little room for reflection

A more considered
view of education.

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