A Human-Centric Approach to Explainable AI for Personalized Education
Fuente:
arXiv
Saved in:
| Main Author: | Swamy, Vinitra |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Intrinsic User-Centric Interpretability through Global Mixture of Experts
by: Swamy, Vinitra, et al.
Published: (2024)
by: Swamy, Vinitra, et al.
Published: (2024)
The future of human-centric eXplainable Artificial Intelligence (XAI) is not post-hoc explanations
by: Swamy, Vinitra, et al.
Published: (2023)
by: Swamy, Vinitra, et al.
Published: (2023)
Interpret3C: Interpretable Student Clustering Through Individualized Feature Selection
by: Salles, Isadora, et al.
Published: (2024)
by: Salles, Isadora, 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)
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)
Dyads: Artist-Centric, AI-Generated Dance Duets
by: Wang, Zixuan, et al.
Published: (2025)
by: Wang, Zixuan, et al.
Published: (2025)
BERT-Based Approach for Automating Course Articulation Matrix Construction with Explainable AI
by: Shiferaw, Natenaile Asmamaw, et al.
Published: (2024)
by: Shiferaw, Natenaile Asmamaw, et al.
Published: (2024)
A Review of Data Mining in Personalized Education: Current Trends and Future Prospects
by: Xiong, Zhang, et al.
Published: (2024)
by: Xiong, Zhang, et al.
Published: (2024)
Transparent AI: The Case for Interpretability and Explainability
by: Ramachandram, Dhanesh, et al.
Published: (2025)
by: Ramachandram, Dhanesh, et al.
Published: (2025)
AI Enabled User-Specific Cyberbullying Severity Detection with Explainability
by: Prama, Tabia Tanzin, et al.
Published: (2025)
by: Prama, Tabia Tanzin, et al.
Published: (2025)
Mapping the Potential of Explainable AI for Fairness Along the AI Lifecycle
by: Deck, Luca, et al.
Published: (2024)
by: Deck, Luca, et al.
Published: (2024)
Towards Responsible Development of Generative AI for Education: An Evaluation-Driven Approach
by: Jurenka, Irina, et al.
Published: (2024)
by: Jurenka, Irina, et al.
Published: (2024)
FNDEX: Fake News and Doxxing Detection with Explainable AI
by: Sallami, Dorsaf, et al.
Published: (2024)
by: Sallami, Dorsaf, et al.
Published: (2024)
The Benefits and Risks of Transductive Approaches for AI Fairness
by: Razzak, Muhammed, et al.
Published: (2024)
by: Razzak, Muhammed, et al.
Published: (2024)
Balancing Fairness and Performance in Healthcare AI: A Gradient Reconciliation Approach
by: Wang, Xiaoyang, et al.
Published: (2025)
by: Wang, Xiaoyang, et al.
Published: (2025)
Learning-to-Explain through 20Q Gaming: An Explainable Recommender for Cybersecurity Education
by: Nusrat, Mary, et al.
Published: (2026)
by: Nusrat, Mary, et al.
Published: (2026)
Explainable AI Systems Must Be Contestable: Here's How to Make It Happen
by: Moreira, Catarina, et al.
Published: (2025)
by: Moreira, Catarina, et al.
Published: (2025)
Person-Centric Annotations of LAION-400M: Auditing Bias and Its Transfer to Models
by: Girrbach, Leander, et al.
Published: (2025)
by: Girrbach, Leander, et al.
Published: (2025)
Operationalizing Automated Essay Scoring: A Human-Aware Approach
by: Plasencia-Calaña, Yenisel
Published: (2025)
by: Plasencia-Calaña, Yenisel
Published: (2025)
Human-AI Co-Mentorship in Project-Based Learning: A Case Study in Financial Forecasting
by: Chawla, Freyaa, et al.
Published: (2026)
by: Chawla, Freyaa, et al.
Published: (2026)
Explainable AI: Learning from the Learners
by: Vinuesa, Ricardo, et al.
Published: (2026)
by: Vinuesa, Ricardo, et al.
Published: (2026)
Explainable AI for Predicting and Understanding Mathematics Achievement: A Cross-National Analysis of PISA 2018
by: Liu, Liu, et al.
Published: (2025)
by: Liu, Liu, et al.
Published: (2025)
Explainable AI for Mental Health Emergency Returns: Integrating LLMs with Predictive Modeling
by: Ahmed, Abdulaziz, et al.
Published: (2025)
by: Ahmed, Abdulaziz, et al.
Published: (2025)
A Fast and Minimal System to Identify Depression Using Smartphones: Explainable Machine Learning-Based Approach
by: Ahmed, Md Sabbir, et al.
Published: (2025)
by: Ahmed, Md Sabbir, et al.
Published: (2025)
Humans vs Large Language Models: Judgmental Forecasting in an Era of Advanced AI
by: Abolghasemi, MAhdi, et al.
Published: (2023)
by: Abolghasemi, MAhdi, et al.
Published: (2023)
An Ensemble Framework for Explainable Geospatial Machine Learning Models
by: Liu, Lingbo
Published: (2024)
by: Liu, Lingbo
Published: (2024)
Navigating AI Policy Landscapes: Insights into Human Rights Considerations Across IEEE Regions
by: John, Angel Mary, et al.
Published: (2025)
by: John, Angel Mary, et al.
Published: (2025)
Mind the Gap! Bridging Explainable Artificial Intelligence and Human Understanding with Luhmann's Functional Theory of Communication
by: Keenan, Bernard, et al.
Published: (2023)
by: Keenan, Bernard, et al.
Published: (2023)
The SERENADE project: Sensor-Based Explainable Detection of Cognitive Decline
by: Civitarese, Gabriele, et al.
Published: (2025)
by: Civitarese, Gabriele, et al.
Published: (2025)
Explainability through uncertainty: Trustworthy decision-making with neural networks
by: Thuy, Arthur, et al.
Published: (2024)
by: Thuy, Arthur, et al.
Published: (2024)
Decoding AI Tutor Effects for Educational Measurement: Temporal, Multi-Outcome, and Behavior-Cognitive Analysis
by: Yang, Yiyao, et al.
Published: (2026)
by: Yang, Yiyao, et al.
Published: (2026)
A Unifying Human-Centered AI Fairness Framework
by: Rahman, Munshi Mahbubur, et al.
Published: (2025)
by: Rahman, Munshi Mahbubur, et al.
Published: (2025)
Semantic Risk Scoring of Aggregated Metrics: An AI-Driven Approach for Healthcare Data Governance
by: Ahmed, Mohammed Omer Shakeel
Published: (2026)
by: Ahmed, Mohammed Omer Shakeel
Published: (2026)
An Explainable and Fair AI Tool for PCOS Risk Assessment: Calibration, Subgroup Equity, and Interactive Clinical Deployment
by: Khan, Asma Sadia, et al.
Published: (2025)
by: Khan, Asma Sadia, et al.
Published: (2025)
Common Steps in Machine Learning Might Hinder The Explainability Aims in Medicine
by: Salih, Ahmed M
Published: (2024)
by: Salih, Ahmed M
Published: (2024)
An ExplainableFair Framework for Prediction of Substance Use Disorder Treatment Completion
by: Lucas, Mary M., et al.
Published: (2024)
by: Lucas, Mary M., et al.
Published: (2024)
From Hubs to Deserts: Urban Cultural Accessibility Patterns with Explainable AI
by: Pranto, Protik Bose, et al.
Published: (2025)
by: Pranto, Protik Bose, et al.
Published: (2025)
A Human-Centered Approach for Improving Supervised Learning
by: Bansal, Shubhi, et al.
Published: (2024)
by: Bansal, Shubhi, et al.
Published: (2024)
Exploring Educational Equity: A Machine Learning Approach to Unravel Achievement Disparities in Georgia
by: Ma, Yichen, et al.
Published: (2024)
by: Ma, Yichen, et al.
Published: (2024)
Interdisciplinary Expertise to Advance Equitable Explainable AI
by: Bennett, Chloe R., et al.
Published: (2024)
by: Bennett, Chloe R., et al.
Published: (2024)
Similar Items
-
Intrinsic User-Centric Interpretability through Global Mixture of Experts
by: Swamy, Vinitra, et al.
Published: (2024) -
The future of human-centric eXplainable Artificial Intelligence (XAI) is not post-hoc explanations
by: Swamy, Vinitra, et al.
Published: (2023) -
Interpret3C: Interpretable Student Clustering Through Individualized Feature Selection
by: Salles, Isadora, 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) -
Student Answer Forecasting: Transformer-Driven Answer Choice Prediction for Language Learning
by: Gado, Elena Grazia, et al.
Published: (2024)