The Life Cycle of Large Language Models: A Review of Biases in Education
Fuente:
arXiv
Saved in:
| Main Authors: | Lee, Jinsook, Hicke, Yann, Yu, Renzhe, Brooks, Christopher, Kizilcec, René F. |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
The life cycle of large language models in education: A framework for understanding sources of bias
by: Jinsook Lee, et al.
Published: (2024)
by: Jinsook Lee, et al.
Published: (2024)
Poor Alignment and Steerability of Large Language Models: Evidence from College Admission Essays
by: Lee, Jinsook, et al.
Published: (2025)
by: Lee, Jinsook, et al.
Published: (2025)
The Digital Divide in Generative AI: Evidence from Large Language Model Use in College Admissions Essays
by: Lee, Jinsook, et al.
Published: (2026)
by: Lee, Jinsook, et al.
Published: (2026)
When the Past Misleads: Rethinking Training Data Expansion Under Temporal Distribution Shifts
by: Yao, Chengyuan, et al.
Published: (2025)
by: Yao, Chengyuan, et al.
Published: (2025)
MedSimAI: Simulation and Formative Feedback Generation to Enhance Deliberate Practice in Medical Education
by: Hicke, Yann, et al.
Published: (2025)
by: Hicke, Yann, et al.
Published: (2025)
Fairness Hub Technical Briefs: Definition and Detection of Distribution Shift
by: Acevedo, Nicolas, et al.
Published: (2024)
by: Acevedo, Nicolas, et al.
Published: (2024)
"Don't Forget the Teachers": Towards an Educator-Centered Understanding of Harms from Large Language Models in Education
by: Harvey, Emma, et al.
Published: (2025)
by: Harvey, Emma, et al.
Published: (2025)
LLM Reasoning Predicts When Models Are Right: Evidence from Coding Classroom Discourse
by: Ahtisham, Bakhtawar, et al.
Published: (2026)
by: Ahtisham, Bakhtawar, et al.
Published: (2026)
How well do Large Language Models Recognize Instructional Moves? Establishing Baselines for Foundation Models in Educational Discourse
by: Vanacore, Kirk, et al.
Published: (2025)
by: Vanacore, Kirk, et al.
Published: (2025)
Algorithms for College Admissions Decision Support: Impacts of Policy Change and Inherent Variability
by: Lee, Jinsook, et al.
Published: (2024)
by: Lee, Jinsook, et al.
Published: (2024)
Domain-Adapted Retrieval for In-Context Annotation of Pedagogical Dialogue Acts
by: Lee, Jinsook, et al.
Published: (2026)
by: Lee, Jinsook, et al.
Published: (2026)
The Algorithmic Unconscious: Structural Mechanisms and Implicit Biases in Large Language Models
by: Boisnard, Philippe
Published: (2026)
by: Boisnard, Philippe
Published: (2026)
A Systematic Analysis of Biases in Large Language Models
by: Zhang, Xulang, et al.
Published: (2025)
by: Zhang, Xulang, et al.
Published: (2025)
PRISM: A Methodology for Auditing Biases in Large Language Models
by: Azzopardi, Leif, et al.
Published: (2024)
by: Azzopardi, Leif, et al.
Published: (2024)
Indian-BhED: A Dataset for Measuring India-Centric Biases in Large Language Models
by: Khandelwal, Khyati, et al.
Published: (2023)
by: Khandelwal, Khyati, et al.
Published: (2023)
Understanding Intrinsic Socioeconomic Biases in Large Language Models
by: Arzaghi, Mina, et al.
Published: (2024)
by: Arzaghi, Mina, et al.
Published: (2024)
Codebook-Injected Dialogue Segmentation for Multi-Utterance Constructs Annotation: LLM-Assisted and Gold-Label-Free Evaluation
by: Lee, Jinsook, et al.
Published: (2026)
by: Lee, Jinsook, et al.
Published: (2026)
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)
Large Language Models are Geographically Biased
by: Manvi, Rohin, et al.
Published: (2024)
by: Manvi, Rohin, et al.
Published: (2024)
Generative Language Models Exhibit Social Identity Biases
by: Hu, Tiancheng, et al.
Published: (2023)
by: Hu, Tiancheng, et al.
Published: (2023)
Large Language Models for Education: A Survey
by: Xu, Hanyi, et al.
Published: (2024)
by: Xu, Hanyi, et al.
Published: (2024)
Whose ChatGPT? Unveiling Real-World Educational Inequalities Introduced by Large Language Models
by: Yu, Renzhe, et al.
Published: (2024)
by: Yu, Renzhe, et al.
Published: (2024)
Large Language Models Develop Novel Social Biases Through Adaptive Exploration
by: Wu, Addison J., et al.
Published: (2025)
by: Wu, Addison J., et al.
Published: (2025)
Benchmarking Generative AI for Scoring Medical Student Interviews in Objective Structured Clinical Examinations (OSCEs)
by: Geathers, Jadon, et al.
Published: (2025)
by: Geathers, Jadon, et al.
Published: (2025)
LLMs are Biased Teachers: Evaluating LLM Bias in Personalized Education
by: Weissburg, Iain, et al.
Published: (2024)
by: Weissburg, Iain, et al.
Published: (2024)
Self-Blinding and Counterfactual Self-Simulation Mitigate Biases and Sycophancy in Large Language Models
by: Christian, Brian, et al.
Published: (2026)
by: Christian, Brian, et al.
Published: (2026)
FairPair: A Robust Evaluation of Biases in Language Models through Paired Perturbations
by: Dwivedi-Yu, Jane, et al.
Published: (2024)
by: Dwivedi-Yu, Jane, et al.
Published: (2024)
Decoding the Mind of Large Language Models: A Quantitative Evaluation of Ideology and Biases
by: Hirose, Manari, et al.
Published: (2025)
by: Hirose, Manari, et al.
Published: (2025)
Cultural Bias and Cultural Alignment of Large Language Models
by: Tao, Yan, et al.
Published: (2023)
by: Tao, Yan, et al.
Published: (2023)
Simulating Students with Large Language Models: A Review of Architecture, Mechanisms, and Role Modelling in Education with Generative AI
by: Marquez-Carpintero, Luis, et al.
Published: (2025)
by: Marquez-Carpintero, Luis, et al.
Published: (2025)
"Pull or Not to Pull?'': Investigating Moral Biases in Leading Large Language Models Across Ethical Dilemmas
by: Ding, Junchen, et al.
Published: (2025)
by: Ding, Junchen, et al.
Published: (2025)
Whose Journey Matters? Investigating Identity Biases in Large Language Models (LLMs) for Travel Planning Assistance
by: Ren, Ruiping, et al.
Published: (2024)
by: Ren, Ruiping, et al.
Published: (2024)
Investigating Student Interaction Patterns with Large Language Model-Powered Course Assistants in Computer Science Courses
by: Liu, Chang, et al.
Published: (2025)
by: Liu, Chang, et al.
Published: (2025)
A Framework for Auditing Chatbots for Dialect-Based Quality-of-Service Harms
by: Harvey, Emma, et al.
Published: (2025)
by: Harvey, Emma, et al.
Published: (2025)
Revealing and Reducing Gender Biases in Vision and Language Assistants (VLAs)
by: Girrbach, Leander, et al.
Published: (2024)
by: Girrbach, Leander, et al.
Published: (2024)
SpiderGen: Towards Procedure Generation For Carbon Life Cycle Assessments with Generative AI
by: Sitaraman, Anupama, et al.
Published: (2025)
by: Sitaraman, Anupama, et al.
Published: (2025)
Development of Application-Specific Large Language Models to Facilitate Research Ethics Review
by: Mann, Sebastian Porsdam, et al.
Published: (2025)
by: Mann, Sebastian Porsdam, et al.
Published: (2025)
Towards Fair and Privacy-Aware Transfer Learning for Educational Predictive Modeling: A Case Study on Retention Prediction in Community Colleges
by: Yao, Chengyuan, et al.
Published: (2025)
by: Yao, Chengyuan, et al.
Published: (2025)
Reflection on Purpose Changes Students' Academic Interests: A Scalable Intervention in an Online Course Catalog
by: Chen, Youjie, et al.
Published: (2024)
by: Chen, Youjie, et al.
Published: (2024)
AI-VERDE: A Gateway for Egalitarian Access to Large Language Model-Based Resources For Educational Institutions
by: Mithun, Paul, et al.
Published: (2025)
by: Mithun, Paul, et al.
Published: (2025)
Similar Items
-
The life cycle of large language models in education: A framework for understanding sources of bias
by: Jinsook Lee, et al.
Published: (2024) -
Poor Alignment and Steerability of Large Language Models: Evidence from College Admission Essays
by: Lee, Jinsook, et al.
Published: (2025) -
The Digital Divide in Generative AI: Evidence from Large Language Model Use in College Admissions Essays
by: Lee, Jinsook, et al.
Published: (2026) -
When the Past Misleads: Rethinking Training Data Expansion Under Temporal Distribution Shifts
by: Yao, Chengyuan, et al.
Published: (2025) -
MedSimAI: Simulation and Formative Feedback Generation to Enhance Deliberate Practice in Medical Education
by: Hicke, Yann, et al.
Published: (2025)