Level 2: CorrelationalStudy type: Quasi-experimental
2026-10-19 · Frontiers in Education · Study
Effective communication is fundamental to high-quality healthcare. Communication skills training is a core component of medical curricula, yet opportunities to practice with standardized patients (SPs) are limited, costly, and can elicit anxiety in novice learners.
Why this label for Use of a GenAI-patient for medical communication training for undergraduate medi
- Level 2: Quasi-experiment, n=383, groups allocated by class schedule; outcomes are self-reported nervousness, preparedness and self-efficacy, so the perception-only cap holds it at Level 2.
- Review status: Graded by one AI grader from the abstract, on Matt's delegation; not yet human-verified
Graded by one AI grader from the abstract, on Matt's delegation; not yet human-verified. Method
Level 2: CorrelationalProvisional (rules only)
2026-06-04 · ERIC (peer reviewed) · Study
Dialogic peer feedback in synchronous online discussions provides multiple educational benefits; however, its implementation is often constrained by students' cognitive and interactional limitations. To address this issue, this study investigated the effects of argumentation scaffold and role assignment on students'...
Why this label for Fostering Dialogic Peer Feedback in Synchronous Online Discussions: The Effect o
- Level 2: Correlational: provisional rules-only grade, pending grader consensus and review: R5 design: comparison without baseline (F5): Comparison groups but no baseline equivalence reported.
- Feedback: matched 'Peer Feedback'
- Metacognition and self-regulation: matched 'metacognition'
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 measureStudy type: Case study / case series
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 measureStudy type: Case study / case series
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...
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
Technical testOutcome: Model performanceStudy type: Technical test (no real learners)
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
- Technical test: Matt's decision: model benchmark; the online experiment reports engagement and business metrics, not learning.
- Review status: Graded by one AI grader from the abstract, on Matt's delegation; Technical test level decided by Matt
Graded by one AI grader from the abstract, on Matt's delegation; Technical test level decided by Matt. Method
CommentaryStudy type: Not a study
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: 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
No study citedStudy type: Not a study
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...
Why this label for AISSA Demo: AI-based Student Slides Analysis Tool for Automated Grading and Feed
- No study cited: Tool demo with no evaluation reported (R1).
- Review status: Graded by one AI grader from the abstract, on Matt's delegation; not yet human-verified
Graded by one AI grader from the abstract, on Matt's delegation; not yet human-verified. Method
