Cover Image

Can we trust LLMs as a tutor for our students? Evaluating the Quality of LLM-generated Feedback in Statistics Exams

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Herklotz, Markus, Ippisch, Niklas, Haensch, Anna-Carolina
Format:	Preprint
Published:	2025
Subjects:	Other Statistics
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Beyond Correctness: Evaluating and Improving LLM Feedback in Statistical Education
by: Ippisch, Niklas, et al.
Published: (2025)

Resolving the induction problem: Can we state with complete confidence via induction that the sun rises forever?
by: Lee, Youngjo
Published: (2020)

Cracking the Code: Evaluating Zero-Shot Prompting Methods for Providing Programming Feedback
by: Ippisch, Niklas, et al.
Published: (2024)

Towards a Unified Framework for Statistical and Mathematical Modeling
by: Zivich, Paul N
Published: (2025)

Statistics at a Crossroads; Who is for the Challenge?
by: He, Xuming, et al.
Published: (2025)

Generative AI Takes a Statistics Exam: A Comparison of Performance between ChatGPT3.5, ChatGPT4, and ChatGPT4o-mini
by: McGee, Monnie, et al.
Published: (2025)

Internalist Reliabilism in Statistics and Machine Learning: Thoughts on Jun Otsuka's Thinking about Statistics
by: Lin, Hanti
Published: (2024)

Equity in the Use of ChatGPT for the Classroom: A Comparison of the Accuracy and Precision of ChatGPT 3.5 vs. ChatGPT4 with Respect to Statistics and Data Science Exams
by: McGee, Monnie, et al.
Published: (2024)

Reflections on the Future of Statistics Education in a Technological Era
by: Alexander, Craig, et al.
Published: (2026)

A Bureaucratic Theory of Statistics
by: Recht, Benjamin
Published: (2025)

Statistical Compatibility, Refutational Information, and Acceptability
by: Rovetta, Alessandro
Published: (2026)

Statistical Methodology Groups in the Pharmaceutical Industry
by: Devenport, Jenny, et al.
Published: (2026)

My Statistics is Better than Yours
by: Benhaïem, Simon
Published: (2024)

Factors Associated with Unit-Specific Failure in a University-Level Statistics Course
by: Sierra, Biviana Marcela Suarez
Published: (2025)

Statistical estimation of $π$: varying choices over dimensions
by: Bhattacharjee, Syon, et al.
Published: (2025)

Engaging students with statistics through choice of real data context on homework
by: Medina, Catalina, et al.
Published: (2026)

LLteacher: A Tool for the Integration of Generative AI into Statistics Assignments
by: Furfaro, Emanuela, et al.
Published: (2025)

Integrating Deep Learning and Spatial Statistics in Marine Ecosystem Monitoring
by: Sangiovanni, Gian Mario, et al.
Published: (2025)

A review of Design of Experiments courses offered to undergraduate students at American universities
by: Vazquez, Alan R., et al.
Published: (2023)

Why is Regularization Underused? An Empirical Study on Trust and Adoption of Statistical Methods
by: Thiel, Konstantin Emil, et al.
Published: (2026)

Cognitive Constructivism and the Epistemic Significance of Sharp Statistical Hypotheses in Natural Sciences
by: Stern, J. M.
Published: (2010)

Framework for Accessible and Inclusive Teaching Materials for Statistics and Data Science Courses
by: Dogucu, Mine, et al.
Published: (2021)

More than Formulas -- Integrity, Communication, Computing and Reproducibility in Statistics Education
by: Furrer, Eva, et al.
Published: (2024)

Which Type of Statistical Uncertainty Helps Evidence-Based Policymaking? An Insight from a Survey Experiment in Ireland
by: Suzuki, Akisato
Published: (2021)

Developing Consistency Among Undergraduate Graders Scoring Open-Ended Statistics Tasks
by: Beckman, Matthew D., et al.
Published: (2024)

Efficacy Analysis in Clinical Trials: A Comprehensive Review of Statistical and Machine Learning Approaches
by: Ghosh, Dhrubajyoti, et al.
Published: (2025)

Bridging the Gap Between Methodological Research and Statistical Practice: Toward "Translational Simulation Research
by: Boulesteix, Anne-Laure, et al.
Published: (2025)

Frequentist Statistics as Internalist Reliabilism
by: Lin, Hanti
Published: (2024)

p-Hacking Inflates Type I Error Rates in the Error Statistical Approach but not in the Formal Inference Approach
by: Rubin, Mark
Published: (2026)

Statisticians Training STEM Educators in Statistics Methods and Pedagogy: A Case Study of Instructor Training in Bayesian Methods
by: Dogucu, Mine, et al.
Published: (2025)

Classroom Community amid Covid-19: A Mixed-Methods Study of Undergraduate Students in Introductory Mathematics and Statistics
by: Viel, Shira, et al.
Published: (2023)

Violence Against Women: a pilot study on the perception of Apulian High school students
by: Calculli, Crescenza, et al.
Published: (2026)

Developing Assessment Methods for Evaluating Learning Experience
by: Maneesha
Published: (2025)

To democratize research with sensitive data, we should make synthetic data more accessible
by: van Kesteren, Erik-Jan
Published: (2024)

Grid Transmission Evaluation for Solar Deployment and Data Center Growth
by: Sheth, Kajal, et al.
Published: (2025)

Understanding and Evaluating Engineering Creativity:Development and Validation of the Engineering Creativity Assessment Tool (ECAT)
by: Akdemir-Beveridge, Zeynep G, et al.
Published: (2025)

The Need for a Recurring Large-Scale Benchmarking Survey to Continually Evaluate Sampling Methods and Administration Modes: Lessons from the 2022 Collaborative Midterm Survey
by: Enns, Peter K., et al.
Published: (2024)

Variable selection in linear mixed model meta-regression with suspected interaction effects -- How can tree-based methods help?
by: Igelmann, Jan-Bernd, et al.
Published: (2026)

A Plea for History and Philosophy of Statistics and Machine Learning
by: Lin, Hanti
Published: (2025)

An Undergraduate Course on the Statistical Principles of Research Study Design
by: Kennedy-Shaffer, Lee
Published: (2024)