:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Egetenmeier, Armin, Strickroth, Sven
Format:	Preprint
Published:	2023
Subjects:	Computers and Society
Online Access:	https://arxiv.org/abs/2310.19334
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Open, Small, Rigmarole -- Evaluating Llama 3.2 3B's Feedback for Programming Exercises
by: Azaiz, Imen, et al.
Published: (2025)

Leveraging Lecture Content for Improved Feedback: Explorations with GPT-4 and Retrieval Augmented Generation
by: Jacobs, Sven, et al.
Published: (2024)

Feedback-Generation for Programming Exercises With GPT-4
by: Azaiz, Imen, et al.
Published: (2024)

That's Not the Feedback I Need! -- Student Engagement with GenAI Feedback in the Tutor Kai
by: Jacobs, Sven, et al.
Published: (2025)

Leveraging Large Language Models for Actionable Course Evaluation Student Feedback to Lecturers
by: Zhang, Mike, et al.
Published: (2024)

The Future of Feedback: How Can AI Help Transform Feedback to Be More Engaging, Effective, and Scalable?
by: Meyer, Jennifer, et al.
Published: (2026)

Evaluating the Application of Large Language Models to Generate Feedback in Programming Education
by: Jacobs, Sven, et al.
Published: (2024)

Student Engagement with GenAI's Tutoring Feedback: A Mixed Methods Study
by: Jacobs, Sven, et al.
Published: (2025)

MetaScoreLens: Evaluating User Feedback Across Digital Entertainment Systems
by: Ellington, Christian, et al.
Published: (2025)

Humanizing Automated Programming Feedback: Fine-Tuning Generative Models with Student-Written Feedback
by: Pădurean, Victor-Alexandru, et al.
Published: (2025)

Redefining Research Crowdsourcing: Incorporating Human Feedback with LLM-Powered Digital Twins
by: Chan, Amanda, et al.
Published: (2025)

Dean of LLM Tutors: Exploring Comprehensive and Automated Evaluation of LLM-generated Educational Feedback via LLM Feedback Evaluators
by: Qian, Keyang, et al.
Published: (2025)

From Influencers to Lecturers: Understanding Public Attitudes Toward Digital vs. Traditional Jobs
by: Hanel, Paul H. P., et al.
Published: (2023)

Sparking Curiosity in Digital System Design Lectures with Take Home Labs
by: Gulgonul, Senol
Published: (2025)

Digital Feedback in Higher Education
Published: (2024)

AI-Driven Feedback Loops in Digital Technologies: Psychological Impacts on User Behaviour and Well-Being
by: Adanyin, Anthonette
Published: (2024)

Enhancing MBSE Education with Version Control and Automated Feedback
by: Bajczi, Levente, et al.
Published: (2024)

Reducing Procrastination on Programming Assignments via Optional Early Feedback
by: Gao, Alice, et al.
Published: (2025)

Understanding Teacher Revisions of Large Language Model-Generated Feedback
by: Borchers, Conrad, et al.
Published: (2026)

LLM-Generated Feedback Supports Learning If Learners Choose to Use It
by: Thomas, Danielle R., et al.
Published: (2025)

OpineBot: Class Feedback Reimagined Using a Conversational LLM
by: Tanwar, Henansh, et al.
Published: (2024)

Differentiating Student Feedbacks for Knowledge Tracing
by: Cui, Jiajun, et al.
Published: (2022)

The Responsible Development of Automated Student Feedback with Generative AI
by: Lindsay, Euan D, et al.
Published: (2023)

Evaluating Language Models for Generating and Judging Programming Feedback
by: Koutcheme, Charles, et al.
Published: (2024)

Partnering with AI: A Pedagogical Feedback System for LLM Integration into Programming Education
by: Scholz, Niklas, et al.
Published: (2025)

Exploring the Role of Automated Feedback in Programming Education: A Systematic Literature Review
by: Jung, Yeonji, et al.
Published: (2026)

Reviewing the Reviewer: Elevating Peer Review Quality through LLM-Guided Feedback
by: Purkayastha, Sukannya, et al.
Published: (2026)

Constraining Participation: Affordances of Feedback Features in Interfaces to Large Language Models
by: Cooper, Ned, et al.
Published: (2024)

Enhancing Student Feedback Using Predictive Models in Visual Literacy Courses
by: Friedman, Alon, et al.
Published: (2024)

Can Probabilistic Feedback Drive User Impacts in Online Platforms?
by: Dai, Jessica, et al.
Published: (2024)

Opinion Change or Differential Turnout: Changing Opinions on the Austin Police Department in a Budget Feedback Process
by: Gelauff, Lodewijk L., et al.
Published: (2023)

AI Teaches the Art of Elegant Coding: Timely, Fair, and Helpful Style Feedback in a Global Course
by: Woodrow, Juliette, et al.
Published: (2024)

Personalized and Constructive Feedback for Computer Science Students Using the Large Language Model (LLM)
by: Khan, Javed Ali, et al.
Published: (2025)

A Large-Scale Observational Study on Obtaining Lightweight, Randomized Weekly Student Feedback
by: Kim, Yunsung, et al.
Published: (2026)

How Students Use AI Feedback Matters: Experimental Evidence on Physics Achievement and Autonomy
by: Dai, Xusheng, et al.
Published: (2025)

A Practical Guide for Supporting Formative Assessment and Feedback Using Generative AI
by: Prompiengchai, Sapolnach, et al.
Published: (2025)

Lecture Notes from the NaijaCoder Summer Camp
by: Alabi, Daniel, et al.
Published: (2024)

Simulating Validity: Modal Decoupling in MLLM Generated Feedback on Science Drawings
by: Bewersdorff, Arne, et al.
Published: (2026)

Listening with Language Models: Using LLMs to Collect and Interpret Classroom Feedback
by: Maram, Sai Siddartha, et al.
Published: (2025)

The Urban Impact of AI: Modeling Feedback Loops in Next-Venue Recommendation
by: Mauro, Giovanni, et al.
Published: (2025)