🏷️ feedback-loop

> **Synthesis:** Alsaiari et al. (2026) report a large-scale quasi-experimental cohort study (13,037 students; 51,296 student-authored resources) comparing three AI-mediated feedback workflows. Studen…

2026-08-13 · formative-assessment, learning-analytics, higher-ed, student-experience, self-regulated-learning

> **Synthesis:** Li (2026) presents a conceptual Perspective arguing that AI-assisted vocal pedagogy should be evaluated not by how precisely AI measures vocal output (pitch, stability, timing) but by…

2026-08-13 · generative-ai, self-regulated-learning, metacognition, music-education, human-ai-collaboration

> **Synthesis:** Lu et al. (2026) examined, through the lens of Social Cognitive Theory, whether Chinese university EFL learners' perceptions of generative-AI-based pronunciation feedback relate to th…

2026-08-13 · language-learning, generative-ai, ai-feedback-quality, self-regulated-learning, motivation

> **Synthesis:** This dissertation develops an AI-guided learning framework that supports three interconnected stages — Consume, Understand, and Imitate — with three deep-learning systems for audio/vi…

2026-08-12 · personalized-learning, language-learning, self-regulated-learning, multimodal, student-modeling

> Pardos & Bhandari (2024) report a randomized efficacy study (N=274) comparing ChatGPT-generated hints to human tutor-authored hints and a no-help control across four mathematics subject areas. Only …

2026-08-12 · generative-ai, llm, ai-tutoring, intelligent-tutoring, scaffolding

> **Synthesis:** Unravelling undergraduates' development of evaluative judgments through AI-supported internal feedback…

2026-08-11 · generative-ai, higher-ed, writing-instruction, self-regulated-learning, assessment-literacy

> **AI feedback quality** — the accuracy, usefulness, timeliness, and pedagogical value of feedback generated by AI systems for learners. As AI-generated feedback becomes ubiquitous in education, unde…

2026-08-09 · ai-feedback-quality, formative-assessment, automated-grading, generative-ai, ai-literacy

> **Intelligent Tutoring Systems (ITS)** — a well-established subfield of AI in education that uses AI to model student knowledge, adapt instruction, and provide personalized feedback, typically throu…

2026-08-09 · ai-education, ai-tutoring, adaptive-learning, scaffolding, student-modeling

> **Learning analytics** — the measurement, collection, analysis, and reporting of data about learners and their contexts for the purpose of understanding and optimizing learning. AI has transformed l…

2026-08-09 · knowledge-tracing, student-modeling, formative-assessment, privacy, edtech-platform

> **Scaffolding** — structured support that helps learners accomplish tasks they cannot yet complete independently, with support fading as competence grows. In AI in education, scaffolding is the prim…

2026-08-09 · zone-of-proximal-development, over-reliance, cognitive-load-theory, ai-literacy, intelligent-tutoring

A conceptual/position paper arguing that feedback in an age of GenAI must be understood as **"matters of care"** — ethical, relational practices rather than information transmission. It builds on a te…

2026-08-03 · generative-ai, higher-ed, educational-theory, equity, teacher-role

A qualitative study of **16 undergraduates** at a Hong Kong teacher-education university who used **ChatGPT 3.5** to obtain feedback on IELTS writing tasks. Data came from unobtrusive screen-recorded …

2026-08-03 · generative-ai, student-experience, higher-ed, ai-literacy, language-learning

This editorial synthesises the seven papers of the AEHE 51(5) special issue on feedback in the age of generative AI. Its central claim: the question is **not whether GenAI feedback is useful, but how …

2026-08-03 · generative-ai, higher-ed, ai-literacy, educational-theory, equity

The largest study in the AEHE 51(5) special issue: a **cross-sectional survey across four Australian universities** (≈192,000 invited; 10,132 volunteered; this paper analyses **6,960 students** who an…

2026-08-03 · generative-ai, student-experience, higher-ed, ai-literacy, engagement-metrics

An empirical study of **21 higher-education teachers** using **PolyFeed**, an AI-powered feedback tool combining (1) a **BERT-based ML model** (from Aldino et al. 2024) that detects which learner-cent…

2026-08-03 · generative-ai, teacher-role, higher-ed, faculty-development, scaffolding

Presents **StructRAG**, a pattern-aware framework that improves how AI tutoring systems interpret **complex engineering diagrams** (circuit schematics, network topologies, block flowcharts) in STEM. C…

2026-08-03 · intelligent-tutoring, stem-education, llm, generative-ai, automated-grading

> **AI tutoring** — the use of AI (especially [[llm|LLMs]] and [[intelligent-tutoring|intelligent tutoring systems]]) to provide personalized, adaptive, scalable instructional support: conversational …

2026-08-01 · intelligent-tutoring, generative-ai, llm, scaffolding, higher-ed

Pre-registered study auditing whether general-purpose helpfulness rubrics can distinguish direct answer-giving from pedagogical guidance in LLM tutors. Uses deterministic detectors for answer leakage …

2026-07-31 · llm, intelligent-tutoring, automated-grading, benchmark, adaptive-learning

LLMs systematically underestimate the difficulty of misconception-driven items ('The Easy Trap'). While LLM ratings show moderate rank correlation with empirical student difficulty (rho=0.52-0.70), th…

2026-07-30 · llm, formative-assessment, adaptive-learning, student-experience, stem-education

> **AICoFE** (AI-based Collaborative Feedback) is a multi-LLM feedback generation system for higher education that combines independently fine-tuned language models with **teacher-in-the-loop mediatio…

2026-07-29 · ai-ed-evaluation, student-experience, human-in-the-loop-ai, higher-ed, learning-analytics

This scoping review synthesizes 90 peer-reviewed [[llm]]-based programming support systems in [[cs-education]] to make explicit how each system bounds, enacts, and controls assistance — decisions the …

2026-07-24 · llm, cs-education, scaffolding, higher-ed

Tabletop exercises (TTXs) let learner teams rehearse high-stakes workplace tasks such as cybersecurity incident response, but their open-ended, collaborative nature makes [[formative-assessment]] diff…

2026-07-22 · formative-assessment, learning-analytics, stem-education, higher-ed, student-experience

EduGuard is a retrieval-augmented generation (RAG) tutoring framework that directly confronts the safety and pedagogical failures of unrestricted LLM tutors in introductory programming. Unrestricted t…

2026-07-20 · llm, generative-ai, intelligent-tutoring, stem-education, over-reliance

This short paper provides rare descriptive classroom evidence on what happens when students repeatedly use generative-AI feedback across a full semester of writing coursework. Drawing on 2,988 reflect…

2026-07-20 · generative-ai, llm, higher-ed, writing-education, over-reliance

This quasi-experimental study directly compares **AI-generated feedback** (two LLMs: **GPT-o4-mini** and **DeepSeek R1**) with **expert human-teacher feedback** in a project-based university course (A…

2026-07-19 · generative-ai, higher-ed, student-experience, learning-gains, formative-assessment

> Extends a prior validated protocol for classifying open-ended teaching-evaluation feedback by thematic category and sentiment, introducing a durability and cross-language transfer benchmark. Institu…

2026-07-14 · automated-grading, teacher-role, formative-assessment, higher-ed, faculty-development-genai

Introduces a Bloom-aligned framework for measuring 'educational control' in LLMs: the ability to preserve a task's instructional intent while shifting its cognitive demand toward higher-order Bloom le…

2026-07-10 · llm, generative-ai, scaffolding, higher-ed, self-regulated-learning

Building upon found examples is a popular way people learn to code, especially in creative coding communities where sharing projects and remixing are common practices. But effectively doing so require…

2026-07-09 · scaffolding, generative-ai, active-learning, programming-its, higher-ed

Deploying LLM tutors in K-12 raises concerns around privacy, cost, and reliance on proprietary models, motivating small language models (SLMs) as an alternative. The authors introduce **CSTutorBench**…

2026-07-08 · llm, intelligent-tutoring, k-12, privacy, benchmark

Debugging exercises are usually graded from final code and test outcomes, which hide *how* students reproduced failures, formed hypotheses, inspected evidence, edited code, and verified fixes. The aut…

2026-07-08 · programming-its, learning-analytics, formative-assessment, cs-education, higher-ed

Prompt engineering is a critical yet undertaught skill for software developers, poorly served by traditional instruction because of its evolving, interactive, context-dependent nature. The authors int…

2026-07-08 · agentic-ai, cs-education, formative-assessment, intelligent-tutoring, llm

Siyan et al. (2026) conduct a carefully controlled experiment isolating the effect of empathetic language in LLM-powered physical activity coaching chatbots over a longitudinal deployment. While the e…

2026-06-30 · affective-computing, llm, personalized-learning, student-experience, affective-tutoring

Bernstein, Denny, Leinonen et al. (2026) investigate whether providing students with multiple, diverse LLM-generated explanations of code (rather than a single 'best' explanation) improves comprehensi…

2026-06-30 · higher-ed, llm, scaffolding, stem-education, student-experience

This survey provides the first systematic review of automated presentation coaching systems, organizing them along a five-dimensional task taxonomy: segmental pronunciation, lexical stress, suprasegme…

2026-06-29 · llm, intelligent-tutoring, professional-training, language-learning, personalized-learning

Park et al. (2026) explore AI-powered automated feedback for tutors on Ringle, a popular online English tutoring platform in the gig economy. Their research probe analyzed tutors' lessons and provided…

2026-06-23 · higher-ed, intelligent-tutoring, language-learning, teacher-role

> **Naaz Sibia, Jessica Wen, Amber Richardson, Yashika Jain, Khushi Malik, Bogdan Simion, Carolina Nobre, Angela Zavaleta Bernuy, Andrew Petersen, Michael Liut** (2026). ICER 2026…

2026-06-19 · cs-education, student-experience, scaffolding, active-learning, multi-representational-tools

> **Wei Xia, Jin Wu, Haoran Shi, Xiangyu Wang, Chanjin Zheng** (2026). East China Normal University / arXiv cs.CL preprint…

2026-06-19 · automated-grading, formative-assessment, writing-education, scaffolding, llm

AI-driven assessment of human tutor training performance correlates with real-life tutoring quality; bridges the gap between training metrics and classroom practice. AI-Driven Assessment of Human Tuto…

2026-06-18 · intelligent-tutoring, automated-grading, teacher-role, efficacy-study, adaptive-virtual-patient-psychotherapy-training

AI-driven interactive patient avatars for psychotherapy training provide accessible, repeatable practice with measurable skill improvement in evidence-based therapy techniques. Toward Accessible Psych…

2026-06-18 · generative-ai, llm, higher-ed, active-learning, adaptive-virtual-patient-psychotherapy-training

MedEasy multi-agent system simulates standardized patients with varying conditions for medical consultation training; outperforms script-based approaches in realism and adaptability. MedEasy: Designin…

2026-06-18 · intelligent-tutoring, generative-ai, higher-ed, active-learning, adaptive-virtual-patient-psychotherapy-training

Studies whether public LLM tutoring benchmarks distinguish learning-supportive behavior from mere answer production. Proposes a lightweight diagnostic based on the gap between solving-oriented and ped…

2026-06-16 · intelligent-tutoring, llm, scaffolding, benchmark, learning-analytics

Introduces **FOXGLOVE**, a dataset of 696 feedback comments by trained writing instructors on 69 twelfth-grade argumentative essays, paired with 1,644 comments from four frontier LLMs — totaling 2,340…

2026-06-09 · llm, writing-education, formative-assessment, higher-ed, k-12

Investigates how instructional guidance shapes student-AI interaction in [[higher-ed|construction engineering education]]. Introduces a **five-step prompting framework** grounded in Generative Learnin…

2026-06-09 · llm, higher-ed, scaffolding, active-learning, personalized-learning

Presents a **large-scale classroom study** (N=215 students, 6,693 submissions across 17 labs) deploying AI-generated feedback through a randomized protocol in an introductory Python programming course…

2026-06-09 · llm, formative-assessment, stem-education, higher-ed, automated-grading

This field experiment shows that AI-generated feedback drafts can measurably increase the rate and length of feedback that teaching assistants actually deliver to students, without sacrificing perceiv…

2026-06-04 · automated-grading, higher-ed, llm, teacher-role, rct

> **Authors:** Junsoo Park, Youssef Medhat, Htet Phyo Wai, Ploy Thajchayapong, Ashok K. Goel (2026) — Georgia Tech…

2026-06-01 · learning-analytics, teacher-role, higher-ed, student-experience, ai-literacy

Artificial intelligence assistants deployed in online learning environments create new opportunities to collect large volumes of learner interaction data and generate insights to improve student outco…

2026-05-29 · learning-analytics, edtech-platform, personalized-learning, higher-ed, student-experience

MindCopilot introduces a formal framework for evaluating human-LLM co-writing that shifts from output-only metrics (BLEU, ROUGE) to **interaction-aware evaluation**. The paper models co-writing as a *…

2026-05-25 · higher-ed, human-in-the-loop, llm, writing-education, human-in-the-loop-ai

This paper presents a rigorous empirical comparison between [[llm|LLM]]-based and semantic similarity methods for [[automated-grading|automated assessment]] of student self-explanations in programming…

2026-05-23 · llm, automated-grading, stem-education, higher-ed, scaffolding

RAG-based rubric-grounded GenAI writing feedback improved student revision quality (N=143, grades 7-11) and saved teacher time, but automated ratings were inconsistent. CyberScholar demonstrates rubri…

2026-05-19 · generative-ai, llm, writing-education, k-12, formative-assessment

LLM tutors achieve near-ceiling on correct steps but systematically over-reject valid-suboptimal reasoning and over-validate incorrect solutions — precisely where adaptive tutoring matters most. This …

2026-05-19 · intelligent-tutoring, llm, generative-ai, benchmark, scaffolding

LLM-generated feedback produces faster time-to-solution than compiler-only baseline; counterintuitively, less guided feedback showed stronger effects than more guided variants. This study provides emp…

2026-05-19 · llm, generative-ai, higher-ed, scaffolding, efficacy-study

> LaTA: A Drop-in, FERPA-Compliant Local-LLM Autograder for Upper-Division STEM Coursework **Rodríguez (2026)** — Oregon State University. Submitted to Computers & Education.…

2026-05-15 · automated-grading, higher-ed, stem-education, llm, generative-ai

AICoFe orchestrates a multi-LLM pipeline using GPT-4.1-mini, Gemini 2.5 Flash, and Llama 3.1 to synthesize quantitative rubric data and qualitative observations into actionable feedback for higher edu…

2026-05-14 · automated-grading, higher-ed, llm, learning-analytics, human-in-the-loop-ai

This book chapter presents a **text mining analysis** of how scholarly literature frames ChatGPT's role in programming education. Using term frequency analysis, phrase pattern extraction, and topic mo…

2026-05-13 · over-reliance, academic-integrity, hallucination-risk, stem-education, student-experience

This paper bridges LLM-based dialogue tutoring and interpretable student modeling. By mapping opaque LLM representations to **Item Response Theory** parameters — student ability (θ) and question diffi…

2026-05-13 · knowledge-tracing, intelligent-tutoring, llm, personalized-learning

> **Authors:** Kirk Vanacore, Ryan S. Baker, Avery H. Closser, Jeremy Roschelle **Year:** 2026 **Venue:** arXiv (cs.HC) > Synthesizes intelligent tutoring systems research and generative AI into a kee…

2026-05-11 · intelligent-tutoring, generative-ai, llm, scaffolding, personalized-learning

**AI multimodal feedback matches educator feedback for learning while significantly outperforming it on student perceptions.** The authors built a real-time AI-facilitated multimodal feedback system i…

2026-05-11 · multimodal, generative-ai, llm, student-experience, learning-analytics

**Sequenced AI feedback harms learning despite boosting engagement and positive perceptions.** In a randomized experiment with 199 participants, the authors compared two types of AI-generated feedback…

2026-05-11 · formative-assessment, scaffolding, generative-ai, efficacy-study, student-experience

> **EduGage** (Leng et al., 2026) addresses a core challenge: in online/video-based learning, **learners must self-regulate** their engagement with instructional materials. > Sensor-based momentary as…

2026-05-08 · adaptive-learning, learning-analytics, affective-computing, higher-ed, self-regulated-learning

> While LLMs are increasingly used as teaching assistants, their teaching capability remains insufficiently evaluated — a critical gap in current AIED research. > Syllabus-grounded framework for measu…

2026-05-08 · llm, benchmark, formative-assessment, personalized-learning, ai-literacy

> Peer feedback develops critical reflection and evaluative judgment, yet: > Student peer feedback is often superficial or inconsistent. **AICoFe** (AI-based Collaborative Feedback) uses a multi-LLM p…

2026-05-07 · edtech-platform, formative-assessment, teacher-role, higher-ed, learning-analytics

> Automatic Short Answer Grading (ASAG) is never perfect. Upper bounds on accuracy arise from: > Zero-shot LLMs perform strongly on ASAG without task-specific fine-tuning, but **model-based confidence…

2026-05-07 · automated-grading, llm, formative-assessment, higher-ed, learning-analytics

> The guide adopts a middle way between "techno-fixing" and rejecting AI as an existential threat. It argues that: > A comprehensive educator's guide to integrating Generative AI into multimodal teach…

2026-05-07 · ai-education, higher-ed, generative-ai, multimodal, active-learning