Saved in:
| Main Authors: | Vassoyan, Jean, Schütt, Anan, Vie, Jill-Jênn, Lekshmi-Narayanan, Arun-Balajiee, André, Elisabeth, Vayatis, Nicolas |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2411.11520 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
A Survey of LLM-Based Applications in Programming Education: Balancing Automation and Human Oversight
by: Pitts, Griffin, et al.
Published: (2025)
by: Pitts, Griffin, et al.
Published: (2025)
Large Language Models as Students Who Think Aloud: Overly Coherent, Verbose, and Confident
by: Borchers, Conrad, et al.
Published: (2026)
by: Borchers, Conrad, et al.
Published: (2026)
Towards Scalable Automated Grading: Leveraging Large Language Models for Conceptual Question Evaluation in Engineering
by: Gao, Rujun, et al.
Published: (2024)
by: Gao, Rujun, et al.
Published: (2024)
An Approach to Detect Abnormal Submissions for CodeWorkout Dataset
by: Hicks, Alex, et al.
Published: (2024)
by: Hicks, Alex, et al.
Published: (2024)
Exploring the Effectiveness of Using LLMs for Automated Assessment of Student Self Explanations in Programming Education
by: Lekshmi-Narayanan, Arun-Balajiee, et al.
Published: (2026)
by: Lekshmi-Narayanan, Arun-Balajiee, et al.
Published: (2026)
Adaptation of the Multi-Concept Multivariate Elo Rating System to Medical Students Training Data
by: Kandemir, Erva Nihan, et al.
Published: (2024)
by: Kandemir, Erva Nihan, et al.
Published: (2024)
Explaining Code Examples in Introductory Programming Courses: LLM vs Humans
by: Lekshmi-Narayanan, Arun-Balajiee, et al.
Published: (2023)
by: Lekshmi-Narayanan, Arun-Balajiee, et al.
Published: (2023)
Does Difficulty even Matter? Investigating Difficulty Adjustment and Practice Behavior in an Open-Ended Learning Task
by: Schütt, Anan, et al.
Published: (2023)
by: Schütt, Anan, et al.
Published: (2023)
Bayesian-Guided Diversity in Sequential Sampling for Recommender Systems
by: Bederina, Hiba, et al.
Published: (2025)
by: Bederina, Hiba, et al.
Published: (2025)
Evaluating the Quality of Code Comments Generated by Large Language Models for Novice Programmers
by: Fan, Aysa Xuemo, et al.
Published: (2024)
by: Fan, Aysa Xuemo, et al.
Published: (2024)
Automated Knowledge Component Generation for Interpretable Knowledge Tracing in Coding Problems
by: Duan, Zhangqi, et al.
Published: (2025)
by: Duan, Zhangqi, et al.
Published: (2025)
Human-AI Co-Creation of Worked Examples for Programming Classes
by: Hassany, Mohammad, et al.
Published: (2024)
by: Hassany, Mohammad, et al.
Published: (2024)
Multidimensional Item Response Theory in the Style of Collaborative Filtering
by: Bergner, Yoav, et al.
Published: (2023)
by: Bergner, Yoav, et al.
Published: (2023)
Investigating the Influence of Training Difficulty on the Learning Outcomes of Medical Students
by: Erva Nihan Kandemir, et al.
Published: (2025)
by: Erva Nihan Kandemir, et al.
Published: (2025)
Live Knowledge Tracing: Real-Time Adaptation using Tabular Foundation Models
by: Lbath, Mounir, et al.
Published: (2026)
by: Lbath, Mounir, et al.
Published: (2026)
Adaptive Quality-Diversity Trade-offs for Large-Scale Batch Recommendation
by: Réda, Clémence, et al.
Published: (2026)
by: Réda, Clémence, et al.
Published: (2026)
How are CS students using resources and AI tools for coding tasks?
by: Echeverry, Natalia, et al.
Published: (2025)
by: Echeverry, Natalia, et al.
Published: (2025)
Floating bodies for ball‐convex bodies
by: Carsten Schütt, et al.
Published: (2025)
by: Carsten Schütt, et al.
Published: (2025)
becoming trans* parents
by: Stoll, Jenn
Published: (2026)
by: Stoll, Jenn
Published: (2026)
Improving supercooled liquid water representation in LIMA using ICICLE data
by: Mareva July‐Wormit, et al.
Published: (2025)
by: Mareva July‐Wormit, et al.
Published: (2025)
Diversified recommendations of cultural activities with personalized determinantal point processes
by: Ibrahim, Carole, et al.
Published: (2025)
by: Ibrahim, Carole, et al.
Published: (2025)
Frequency‐dependent contraction rates for the Bayesian method to the inverse source problem
by: Pu‐Zhao Kow, et al.
Published: (2026)
by: Pu‐Zhao Kow, et al.
Published: (2026)
Ignore the KL Penalty! Boosting Exploration on Critical Tokens to Enhance RL Fine-Tuning
by: Vassoyan, Jean, et al.
Published: (2025)
by: Vassoyan, Jean, et al.
Published: (2025)
Importance of CCN activation for fog forecasting and its representation in the two‐moment microphysical scheme LIMA
by: B. Vié, et al.
Published: (2024)
by: B. Vié, et al.
Published: (2024)
Enhancing Nuclear Reactor Core Simulation through Data-Based Surrogate Models
by: Beja-Battais, Perceval, et al.
Published: (2025)
by: Beja-Battais, Perceval, et al.
Published: (2025)
From private to public governance: The case for reconfiguring energy systems as a commons
by: Giotitsas, Chris, et al.
Published: (2020)
by: Giotitsas, Chris, et al.
Published: (2020)
A Network Formation Model Based on Subgraphs
by: Chandrasekhar, Arun G., et al.
Published: (2016)
by: Chandrasekhar, Arun G., et al.
Published: (2016)
Teaching at Scale: Leveraging AI to Evaluate and Elevate Engineering Education
by: Chamberland, Jean-Francois, et al.
Published: (2025)
by: Chamberland, Jean-Francois, et al.
Published: (2025)
Turning Language Model Training from Black Box into a Sandbox
by: Pope, Nicolas, et al.
Published: (2026)
by: Pope, Nicolas, et al.
Published: (2026)
GUARD-D-LLM: An LLM-Based Risk Assessment Engine for the Downstream uses of LLMs
by: Narayanan, sundaraparipurnan, et al.
Published: (2024)
by: Narayanan, sundaraparipurnan, et al.
Published: (2024)
MAGPIE: Multi-Task Media-Bias Analysis Generalization for Pre-Trained Identification of Expressions
by: Horych, Tomáš, et al.
Published: (2024)
by: Horych, Tomáš, et al.
Published: (2024)
Reinforcement Learning for Special Education: Aligning LLM Tutors to Diverse Learners through Disability-Adaptive Training
by: Lee, Unggi, et al.
Published: (2026)
by: Lee, Unggi, et al.
Published: (2026)
Nachhaltigkeit im Unterricht berufsbildender Schulen
by: Schütt-Sayed, Sören
Published: (2020)
by: Schütt-Sayed, Sören
Published: (2020)
An Optimized Pipeline for Automatic Educational Knowledge Graph Construction
by: Ain, Qurat Ul, et al.
Published: (2025)
by: Ain, Qurat Ul, et al.
Published: (2025)
Unmasking the Reality of PII Masking Models: Performance Gaps and the Call for Accountability
by: Singh, Devansh, et al.
Published: (2025)
by: Singh, Devansh, et al.
Published: (2025)
Decoding the Digital Fine Print: Navigating the potholes in Terms of service/ use of GenAI tools against the emerging need for Transparent and Trustworthy Tech Futures
by: Narayanan, Sundaraparipurnan
Published: (2024)
by: Narayanan, Sundaraparipurnan
Published: (2024)
Future-proofing Education: A Prototype for Simulating Oral Examinations Using Large Language Models
by: Nitze, André
Published: (2023)
by: Nitze, André
Published: (2023)
Understanding Stress, Burnout, and Behavioral Patterns in Medical Residents Using Large-scale Longitudinal Wearable Recordings
by: Feng, Tiantian, et al.
Published: (2024)
by: Feng, Tiantian, et al.
Published: (2024)
A risk-based approach to assessing liability risk for AI-driven harms considering EU liability directive
by: Narayanan, Sundaraparipurnan, et al.
Published: (2023)
by: Narayanan, Sundaraparipurnan, et al.
Published: (2023)
Quantifying the influence of Vocational Education and Training with text embedding and similarity-based networks
by: Lee, Hyeongjae, et al.
Published: (2025)
by: Lee, Hyeongjae, et al.
Published: (2025)
Similar Items
-
A Survey of LLM-Based Applications in Programming Education: Balancing Automation and Human Oversight
by: Pitts, Griffin, et al.
Published: (2025) -
Large Language Models as Students Who Think Aloud: Overly Coherent, Verbose, and Confident
by: Borchers, Conrad, et al.
Published: (2026) -
Towards Scalable Automated Grading: Leveraging Large Language Models for Conceptual Question Evaluation in Engineering
by: Gao, Rujun, et al.
Published: (2024) -
An Approach to Detect Abnormal Submissions for CodeWorkout Dataset
by: Hicks, Alex, et al.
Published: (2024) -
Exploring the Effectiveness of Using LLMs for Automated Assessment of Student Self Explanations in Programming Education
by: Lekshmi-Narayanan, Arun-Balajiee, et al.
Published: (2026)