Learning principles / Feedback

Feedback

Feedback is information given to a learner about their performance that they can use to improve, such as comments on a draft or hints during problem solving.

Items below are tagged by keyword rules when their title or summary mentions this principle. A tag means the item discusses it, not that the item is good evidence about it.

Tracked items (5)

Level 1: Descriptive or exploratoryProvisional (rules only)

Grammar Concept Annotation at Scale: Deployed Fine-Tuned Small Language Models Outperform Prompted Frontier Models (opens in new tab)

2026-10-07 · arXiv search: AI + education · Study (preprint)

Corrective feedback is among the best-evidenced drivers of second-language acquisition, yet corrections delivered during lessons rarely accumulate into an actionable view of grammar mastery. Prompted frontier models can provide such a view from learner--tutor lesson transcripts, but they are costly at scale.

Why this label for Grammar Concept Annotation at Scale: Deployed Fine-Tuned Small Language Models O
  • Level 1: Descriptive: provisional rules-only grade, pending grader consensus and review: R5 descriptive (F8 vendor self-report): Vendor describes its own internal work without design details; vendor hold applies.
  • Preprint: not peer reviewed; capped at Level 3
  • Feedback: matched 'Corrective feedback'
  • Tutoring and personalization: matched 'tutor'

Provisional label from fixed rules applied to the collected text; research items are re-graded by our review pipeline. Method

Technical testProvisional (rules only)

AISSA Demo: AI-based Student Slides Analysis Tool for Automated Grading and Feedback (opens in new tab)

2026-10-05 · arXiv search: AI + education · Study (preprint)

We present an AI-based web-oriented tool designed to support formative feedback for oral presentation slides in higher education: AISSA. It allows students to upload their slides before presentation and automatically receive rubric-based quantitative scores and qualitative feedback generated by large language models...

FeedbackMotivation and engagementAssessment and grading
Why this label for AISSA Demo: AI-based Student Slides Analysis Tool for Automated Grading and Feed
  • Technical test: provisional rules-only grade, pending grader consensus and review: R4 real-learner gate (F1/F2): Outputs of models, simulations or audits; any humans act as raters, references or data sources, not learners.
  • Preprint: not peer reviewed; capped at Level 3
  • Feedback: matched 'formative feedback'
  • Motivation and engagement: matched 'student engagement'
  • Assessment and grading: matched 'Grading'

Provisional label from fixed rules applied to the collected text; research items are re-graded by our review pipeline. Method

Level 1: Descriptive or exploratoryLearners: Higher-ed studentsOutcome: Learning or achievementPreprintSmall or impreciseShort exposureResearcher-made measure

The Brand War: A Gamified AI-Feedback System for Time-Limited EFL Writing (opens in new tab)

2026-07-04 · arXiv (back catalog) · Study (preprint)

Writing is cognitively demanding and anxiety-provoking for English as a Foreign Language (EFL) learners, especially under time pressure. This paper presents The Brand War, a web-based gamified writing application combining competitive game mechanics with iterative GPT-4.1-powered formative feedback for undergraduate...

Why this label for The Brand War: A Gamified AI-Feedback System for Time-Limited EFL Writing
  • Level 1: Descriptive or exploratory: Consensus level confirmed against the methodology.
  • Review status: Confirmed against the published method (AI-assisted review)
  • Grader A: R5 design ceiling: the 29-student exploratory, single-session study lacks an equivalent comparison group.
  • Grader B: R5 design ceiling: exploratory single-session, single-group within-student study (n=29) with AI-scored revisions; user vs non-user comparison is self-selected and not significant
  • Rule version: METHODOLOGY v0.3, pipeline v1, rules rules-v0.4
  • Feedback: matched 'formative feedback'

Graded blind by two AI graders against our published method. Confirmed against the published method (AI-assisted review) Method

Level 1: Descriptive or exploratoryLearners: K-12 studentsOutcome: Learning or achievementPreprintResearcher-made measure

Using AI-Generated Feedback to Improve Critical Thinking and Writing Proficiency (opens in new tab)

2026-06-26 · arXiv (back catalog) · Study (preprint)

Research indicates students require customized written composition feedback to enhance critical thinking and writing competence, yet teachers face barriers to delivering timely personalized guidance due to heavy workloads. To address this gap, this study developed the Writing Improvement and Smart Evaluation Agent...

FeedbackAssessment and grading
Why this label for Using AI-Generated Feedback to Improve Critical Thinking and Writing Proficiency
  • Level 1: Descriptive or exploratory: Both graders agree; rules version missed it. Consensus level confirmed.
  • Review status: Confirmed against the published method (AI-assisted review)
  • Grader A: R5 design ceiling: three-month single-group intervention; no comparison group reported.
  • Grader B: R5 design ceiling: a three-month intervention with 260 sixth graders, but no comparison group is described, so it is a single-group pre/post (Level 1)
  • Rule version: METHODOLOGY v0.3, pipeline v1, rules rules-v0.4
  • Feedback: matched 'AI-Generated Feedback'

Graded blind by two AI graders against our published method. Confirmed against the published method (AI-assisted review) Method

Commentary

My students need real connection, not AI feedback (opens in new tab)

2026-06-05 · eSchool News · News

As I wrapped up my student conferences, one conversation stuck with me. Steven had barely touched his final project for our computer science course, a virtual simulation of a piano, despite showing real promise earlier in the year.

Why this label for My students need real connection, not AI feedback
  • Commentary or coverage: news, commentary or policy with no study
  • Feedback: matched 'AI feedback'

Provisional label from fixed rules applied to the collected text; research items are re-graded by our review pipeline. Method