Cover Image

Harnessing Large Language Models to Enhance Self-Regulated Learning via Formative Feedback

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Steinert, Steffen, Avila, Karina E., Ruzika, Stefan, Kuhn, Jochen, Küchemann, Stefan
Format:	Preprint
Published:	2023
Subjects:	Physics Education
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Lessons Learned from Designing an Open-Source Automated Feedback System for STEM Education
by: Steinert, Steffen, et al.
Published: (2024)

Personalized Multimodal Feedback Using Multiple External Representations: Strategy Profiles and Learning in High School Physics
by: Revenga-Lozano, Natalia, et al.
Published: (2026)

Unreflected Acceptance -- Investigating the Negative Consequences of ChatGPT-Assisted Problem Solving in Physics Education
by: Krupp, Lars, et al.
Published: (2023)

AI Support Meets AR Visualization for Alice and Bob: Personalized Learning Based on Individual ChatGPT Feedback in an AR Quantum Cryptography Experiment for Physics Lab Courses
by: Coban, Atakan, et al.
Published: (2024)

Comparing Visual Qubit Representations in Quantum Education: The Bloch sphere Enhances Task Efficiency
by: Qerimi, Linda, et al.
Published: (2025)

AI-Supported Mini-Labs: Combining Smartphone-Based Experiments and Multimodal AI
by: Kuhn, Jochen, et al.
Published: (2025)

It's Not The Plane -- It's The Pilot: A Framework for Cognitive-Activated AI-Augmentation to Avoid the Boiling Frog Problem
by: Kuhn, Jochen, et al.
Published: (2026)

Learning quantum properties with informationally redundant external representations: An eye-tracking study
by: Rexigel, Eva, et al.
Published: (2025)

Exploring the mechanisms of qubit representations and introducing a new category system for visual representations: Results from expert ratings
by: Qerimi, Linda, et al.
Published: (2024)

AI-based Verbal and Visual Scaffolding in a Serious Game: Effects on Learning and Cognitive Load
by: Wermann, Caroline, et al.
Published: (2026)

Quantum cryptography visualized: assessing visual attention on multiple representations with eye tracking in an AR-enhanced quantum cryptography student experiment
by: Dzsotjan, David, et al.
Published: (2024)

Hands-on Experiment Supported by Augmented Reality Smartglasses for Learning the Lorentz Force
by: Warkentin, Max, et al.
Published: (2025)

Visualization enhances Problem Solving in multi-Qubit Systems
by: Bley, Jonas, et al.
Published: (2025)

Visualizing Quantum States: A Pilot Study on Problem Solving in Quantum Information Science Education
by: Bley, Jonas, et al.
Published: (2024)

Developing and Evaluating a Large Language Model-Based Automated Feedback System Grounded in Evidence-Centered Design for Supporting Physics Problem Solving
by: Maus, Holger, et al.
Published: (2025)

Students' Perceptions to a Large Language Model's Generated Feedback and Scores of Argumentation Essays
by: Allen, Winter, et al.
Published: (2025)

A Systematic Review of Empirical Research on Graphing Numerical Data in K-12 STEM Education
by: Ruf, Verena, et al.
Published: (2024)

Harnessing Emotions to Enhance Feedback in the Emergency Department
by: Alessandra Karam, et al.
Published: (2025)

Evaluating GPT- and Reasoning-based Large Language Models on Physics Olympiad Problems: Surpassing Human Performance and Implications for Educational Assessment
by: Tschisgale, Paul, et al.
Published: (2025)

Feedback That Clicks: Introductory Physics Students' Valued Features in AI Feedback Generated From Self-Crafted and Engineered Prompts
by: Sirnoorkar, Amogh, et al.
Published: (2025)

Potential Pitfalls in Visual Models of Tipping Points -- And How to Fix Them
by: Dechert, Jonathan, et al.
Published: (2024)

Elektronenbahnen in Feldern
by: Richtberg, Stefan
Published: (2022)

A Hands-on Experience with a Novel Scintillation Detector for Particle Physics
by: Bitar, Anja, et al.
Published: (2024)

Using Large Language Models to Assign Partial Credit to Students' Explanations of Problem-Solving Process: Grade at Human Level Accuracy with Grading Confidence Index and Personalized Student-facing Feedback
by: Chen, Zhongzhou, et al.
Published: (2024)

Using Large Language Models in Physics Education
by: Donaldson, Jonah R., et al.
Published: (2026)

From Self-Crafted to Engineered Prompts: Student Evaluations of AI-Generated Feedback in Introductory Physics
by: Sirnoorkar, Amogh, et al.
Published: (2025)

Enhancing Science Literacy through Cognitive Conflict-Based Generative Learning Model: An Experimental Study in Physics Learning
by: Akmam, A, et al.
Published: (2025)

Modelling assisted tunneling on the Bloch sphere using the Quantum Composer
by: Bley, Jonas, et al.
Published: (2022)

Can Large Language Models Correctly Interpret Equations with Errors?
by: McGinness, Lachlan, et al.
Published: (2025)

Exploring Large Language Models (LLMs) through interactive Python activities
by: Tufino, Eugenio
Published: (2025)

Opportunities and Challenges in Harnessing Digital Technology for Effective Teaching and Learning
by: Chen, Zhongzhou, et al.
Published: (2025)

The Parametric Matroid $\ell$-Interdiction Problem
by: Hausbrandt, Nils, et al.
Published: (2024)

Multi-parametric matroids -- Applications to interdiction and weight set decomposition
by: Hausbrandt, Nils, et al.
Published: (2025)

Smarte Physik: Analyse der Fahrzeugbeschleunigung mit ChatGPT
by: Patrik Vogt, et al.
Published: (2025)

Smarte Physik: Bestimmung der Schallgeschwindigkeit mit Abflussrohren und ChatGPT
by: Patrik Vogt, et al.
Published: (2026)

Learning Together: A Format for Reflective Turn-Based Sharing in Physics
by: Day, James, et al.
Published: (2026)

How many lives does Schrödinger's cat have?
by: López-Incera, Andrea, et al.
Published: (2024)

Using AI Large Language Models for Grading in Education: A Hands-On Test for Physics
by: Mok, Ryan, et al.
Published: (2024)

Investigation of the Inter-Rater Reliability between Large Language Models and Human Raters in Qualitative Analysis
by: Borse, Nikhil Sanjay, et al.
Published: (2025)

Exploring the Educational Landscape of AI: Large Language Models' Approaches to Explaining Conservation of Momentum in Physics
by: Sato, Keisuke
Published: (2024)