Towards Modeling Learner Performance with Large Language Models
Fuente:
arXiv
Saved in:
| Main Authors: | Neshaei, Seyed Parsa, Davis, Richard Lee, Hazimeh, Adam, Lazarevski, Bojan, Dillenbourg, Pierre, Käser, Tanja |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Moving Beyond Review: Applying Language Models to Planning and Translation in Reflection
by: Neshaei, Seyed Parsa, et al.
Published: (2026)
by: Neshaei, Seyed Parsa, et al.
Published: (2026)
Using Large Multimodal Models to Extract Knowledge Components for Knowledge Tracing from Multimedia Question Information
by: Moon, Hyeongdon, et al.
Published: (2024)
by: Moon, Hyeongdon, et al.
Published: (2024)
The Impact of Quantization on the Robustness of Transformer-based Text Classifiers
by: Neshaei, Seyed Parsa, et al.
Published: (2024)
by: Neshaei, Seyed Parsa, et al.
Published: (2024)
Student Answer Forecasting: Transformer-Driven Answer Choice Prediction for Language Learning
by: Gado, Elena Grazia, et al.
Published: (2024)
by: Gado, Elena Grazia, et al.
Published: (2024)
Scaling Laws for Downstream Task Performance of Large Language Models
by: Isik, Berivan, et al.
Published: (2024)
by: Isik, Berivan, et al.
Published: (2024)
RedTopic: Toward Topic-Diverse Red Teaming of Large Language Models
by: Ding, Jiale, et al.
Published: (2025)
by: Ding, Jiale, et al.
Published: (2025)
Embedding Enhancement via Fine-Tuned Language Models for Learner-Item Cognitive Modeling
by: Liu, Yuanhao, et al.
Published: (2026)
by: Liu, Yuanhao, et al.
Published: (2026)
Towards Generalizable Agents in Text-Based Educational Environments: A Study of Integrating RL with LLMs
by: Radmehr, Bahar, et al.
Published: (2024)
by: Radmehr, Bahar, et al.
Published: (2024)
Towards Large Language Models that Benefit for All: Benchmarking Group Fairness in Reward Models
by: Song, Kefan, et al.
Published: (2025)
by: Song, Kefan, et al.
Published: (2025)
Protected group bias and stereotypes in Large Language Models
by: Kotek, Hadas, et al.
Published: (2024)
by: Kotek, Hadas, et al.
Published: (2024)
Understanding Intrinsic Socioeconomic Biases in Large Language Models
by: Arzaghi, Mina, et al.
Published: (2024)
by: Arzaghi, Mina, et al.
Published: (2024)
Emissions and Performance Trade-off Between Small and Large Language Models
by: Garg, Anandita, et al.
Published: (2025)
by: Garg, Anandita, et al.
Published: (2025)
Limits to Predicting Online Speech Using Large Language Models
by: Remeli, Mina, et al.
Published: (2024)
by: Remeli, Mina, et al.
Published: (2024)
Harnessing Large Language Models for Disaster Management: A Survey
by: Lei, Zhenyu, et al.
Published: (2025)
by: Lei, Zhenyu, et al.
Published: (2025)
Revealing Fine-Grained Values and Opinions in Large Language Models
by: Wright, Dustin, et al.
Published: (2024)
by: Wright, Dustin, et al.
Published: (2024)
Predicting Learning Performance with Large Language Models: A Study in Adult Literacy
by: Zhang, Liang, et al.
Published: (2024)
by: Zhang, Liang, et al.
Published: (2024)
Addressing Stereotypes in Large Language Models: A Critical Examination and Mitigation
by: Kazi, Fatima
Published: (2025)
by: Kazi, Fatima
Published: (2025)
ELMES: An Automated Framework for Evaluating Large Language Models in Educational Scenarios
by: Wei, Shou'ang, et al.
Published: (2025)
by: Wei, Shou'ang, et al.
Published: (2025)
Generalization in Healthcare AI: Evaluation of a Clinical Large Language Model
by: Rahman, Salman, et al.
Published: (2024)
by: Rahman, Salman, et al.
Published: (2024)
GreedLlama: Performance of Financial Value-Aligned Large Language Models in Moral Reasoning
by: Yu, Jeffy, et al.
Published: (2024)
by: Yu, Jeffy, et al.
Published: (2024)
Exploring the Potential of the Large Language Models (LLMs) in Identifying Misleading News Headlines
by: Rony, Md Main Uddin, et al.
Published: (2024)
by: Rony, Md Main Uddin, et al.
Published: (2024)
LIBRA: Measuring Bias of Large Language Model from a Local Context
by: Pang, Bo, et al.
Published: (2025)
by: Pang, Bo, et al.
Published: (2025)
A Toolbox for Surfacing Health Equity Harms and Biases in Large Language Models
by: Pfohl, Stephen R., et al.
Published: (2024)
by: Pfohl, Stephen R., et al.
Published: (2024)
iLLuMinaTE: An LLM-XAI Framework Leveraging Social Science Explanation Theories Towards Actionable Student Performance Feedback
by: Swamy, Vinitra, et al.
Published: (2024)
by: Swamy, Vinitra, et al.
Published: (2024)
Cultural Alignment in Large Language Models: An Explanatory Analysis Based on Hofstede's Cultural Dimensions
by: Masoud, Reem I., et al.
Published: (2023)
by: Masoud, Reem I., et al.
Published: (2023)
Evaluating the Performance of Large Language Models in Scientific Claim Detection and Classification
by: Faruk, Tanjim Bin
Published: (2024)
by: Faruk, Tanjim Bin
Published: (2024)
What Large Language Models Do Not Talk About: An Empirical Study of Moderation and Censorship Practices
by: Noels, Sander, et al.
Published: (2025)
by: Noels, Sander, et al.
Published: (2025)
A Detailed Factor Analysis for the Political Compass Test: Navigating Ideologies of Large Language Models
by: Kamal, Sadia, et al.
Published: (2025)
by: Kamal, Sadia, et al.
Published: (2025)
Intrinsic Meets Extrinsic Fairness: Assessing the Downstream Impact of Bias Mitigation in Large Language Models
by: Arzaghi', 'Mina, et al.
Published: (2025)
by: Arzaghi', 'Mina, et al.
Published: (2025)
Estimating Item Difficulty Using Large Language Models and Tree-Based Machine Learning Algorithms
by: Razavi, Pooya, et al.
Published: (2025)
by: Razavi, Pooya, et al.
Published: (2025)
Toward Cultural Interpretability: A Linguistic Anthropological Framework for Describing and Evaluating Large Language Models (LLMs)
by: Jones, Graham M., et al.
Published: (2024)
by: Jones, Graham M., et al.
Published: (2024)
The Moral Gap of Large Language Models
by: Skorski, Maciej, et al.
Published: (2025)
by: Skorski, Maciej, et al.
Published: (2025)
Correlated Errors in Large Language Models
by: Kim, Elliot, et al.
Published: (2025)
by: Kim, Elliot, et al.
Published: (2025)
Hypothesis Generation with Large Language Models
by: Zhou, Yangqiaoyu, et al.
Published: (2024)
by: Zhou, Yangqiaoyu, et al.
Published: (2024)
Large Language Models are Geographically Biased
by: Manvi, Rohin, et al.
Published: (2024)
by: Manvi, Rohin, et al.
Published: (2024)
Reducing Large Language Model Safety Risks in Women's Health using Semantic Entropy
by: Penny-Dimri, Jahan C., et al.
Published: (2025)
by: Penny-Dimri, Jahan C., et al.
Published: (2025)
Large Language Models Predict Functional Outcomes after Acute Ischemic Stroke
by: Kapoor, Anjali K., et al.
Published: (2026)
by: Kapoor, Anjali K., et al.
Published: (2026)
Augmenting Human-Annotated Training Data with Large Language Model Generation and Distillation in Open-Response Assessment
by: Borchers, Conrad, et al.
Published: (2025)
by: Borchers, Conrad, et al.
Published: (2025)
Toward Preference-aligned Large Language Models via Residual-based Model Steering
by: La Cava, Lucio, et al.
Published: (2025)
by: La Cava, Lucio, et al.
Published: (2025)
Surveying Attitudinal Alignment Between Large Language Models Vs. Humans Towards 17 Sustainable Development Goals
by: Wu, Qingyang, et al.
Published: (2024)
by: Wu, Qingyang, et al.
Published: (2024)
Similar Items
-
Moving Beyond Review: Applying Language Models to Planning and Translation in Reflection
by: Neshaei, Seyed Parsa, et al.
Published: (2026) -
Using Large Multimodal Models to Extract Knowledge Components for Knowledge Tracing from Multimedia Question Information
by: Moon, Hyeongdon, et al.
Published: (2024) -
The Impact of Quantization on the Robustness of Transformer-based Text Classifiers
by: Neshaei, Seyed Parsa, et al.
Published: (2024) -
Student Answer Forecasting: Transformer-Driven Answer Choice Prediction for Language Learning
by: Gado, Elena Grazia, et al.
Published: (2024) -
Scaling Laws for Downstream Task Performance of Large Language Models
by: Isik, Berivan, et al.
Published: (2024)