Saved in:
| Main Authors: | Chau, Hung, Yu, Run, Pardos, Zachary, Brusilovsky, Peter |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2508.19569 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Auditing an Automatic Grading Model with deep Reinforcement Learning
by: Condor, Aubrey, et al.
Published: (2024)
by: Condor, Aubrey, et al.
Published: (2024)
The RIGID Framework: Research-Integrated, Generative AI-Mediated Instructional Design
by: Kwak, Yerin, et al.
Published: (2026)
by: Kwak, Yerin, et al.
Published: (2026)
Leveraging LLM-Respondents for Item Evaluation: a Psychometric Analysis
by: Liu, Yunting, et al.
Published: (2024)
by: Liu, Yunting, et al.
Published: (2024)
When Relevance Meets Novelty: Dual-Stable Periodic Optimization for Serendipitous Recommendation
by: Lin, Hongxiang, et al.
Published: (2025)
by: Lin, Hongxiang, et al.
Published: (2025)
Advancing credit mobility through stakeholder-informed AI design and adoption
by: Kwak, Yerin, et al.
Published: (2026)
by: Kwak, Yerin, et al.
Published: (2026)
PromptHive: Bringing Subject Matter Experts Back to the Forefront with Collaborative Prompt Engineering for Educational Content Creation
by: Reza, Mohi, et al.
Published: (2024)
by: Reza, Mohi, et al.
Published: (2024)
Comparative Explanations via Counterfactual Reasoning in Recommendations
by: Yu, Yi, et al.
Published: (2025)
by: Yu, Yi, et al.
Published: (2025)
Explanation Design in Strategic Learning: Sufficient Explanations that Induce Non-harmful Responses
by: Vo, Kiet Q. H., et al.
Published: (2025)
by: Vo, Kiet Q. H., 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)
From Abstract to Actionable: Pairwise Shapley Values for Explainable AI
by: Xu, Jiaxin, et al.
Published: (2025)
by: Xu, Jiaxin, et al.
Published: (2025)
How to Improve the Explanatory Power of an Intelligent Textbook: A Case Study in Legal Writing
by: Francesco Sovrano, et al.
Published: (2025)
by: Francesco Sovrano, et al.
Published: (2025)
Learning Skills from Action-Free Videos
by: Fang, Hung-Chieh, et al.
Published: (2025)
by: Fang, Hung-Chieh, et al.
Published: (2025)
Empowering Contrastive Federated Sequential Recommendation with LLMs
by: Nguyen, Thi Minh Chau, et al.
Published: (2026)
by: Nguyen, Thi Minh Chau, et al.
Published: (2026)
Leveraging Counterfactual Paths for Contrastive Explanations of POMDP Policies
by: Kraske, Benjamin, et al.
Published: (2024)
by: Kraske, Benjamin, et al.
Published: (2024)
Personalized Worked Example Generation from Student Code Submissions Using Pattern-based Knowledge Components
by: Pitts, Griffin, et al.
Published: (2026)
by: Pitts, Griffin, et al.
Published: (2026)
Beyond Factual Correctness: Mitigating Preference-Inconsistent Explanations in Explainable Recommendation
by: Wang, Chengkai, et al.
Published: (2026)
by: Wang, Chengkai, et al.
Published: (2026)
Knowledge Graphs as Context Sources for LLM-Based Explanations of Learning Recommendations
by: Abu-Rasheed, Hasan, et al.
Published: (2024)
by: Abu-Rasheed, Hasan, et al.
Published: (2024)
SkillsVote: Lifecycle Governance of Agent Skills from Collection, Recommendation to Evolution
by: Liu, Hongyi, et al.
Published: (2026)
by: Liu, Hongyi, et al.
Published: (2026)
How Good Are Large Language Models for Course Recommendation in MOOCs?
by: Ma, Boxuan, et al.
Published: (2025)
by: Ma, Boxuan, et al.
Published: (2025)
Beyond Persuasion: Towards Conversational Recommender System with Credible Explanations
by: Qin, Peixin, et al.
Published: (2024)
by: Qin, Peixin, et al.
Published: (2024)
LLM-Powered Explanations: Unraveling Recommendations Through Subgraph Reasoning
by: Shi, Guangsi, et al.
Published: (2024)
by: Shi, Guangsi, et al.
Published: (2024)
Improving Procedural Skill Explanations via Constrained Generation: A Symbolic-LLM Hybrid Architecture
by: Dass, Rahul, et al.
Published: (2025)
by: Dass, Rahul, et al.
Published: (2025)
pyBKT: An Accessible Python Library of Bayesian Knowledge Tracing Models
by: Badrinath, Anirudhan, et al.
Published: (2021)
by: Badrinath, Anirudhan, et al.
Published: (2021)
The Problem of Coherence in Natural Language Explanations of Recommendations
by: Raczyński, Jakub, et al.
Published: (2023)
by: Raczyński, Jakub, et al.
Published: (2023)
KG-First, LLM-Fallback: A Hybrid Microservice for Grounded Skill Search and Explanation
by: Le, Ngoc Luyen, et al.
Published: (2026)
by: Le, Ngoc Luyen, et al.
Published: (2026)
Visual or Textual: Effects of Explanation Format and Personal Characteristics on the Perception of Explanations in an Educational Recommender System
by: Ain, Qurat Ul, et al.
Published: (2026)
by: Ain, Qurat Ul, et al.
Published: (2026)
Bridging the Skills Gap: A Course Model for Modern Generative AI Education
by: Bardach, Anya, et al.
Published: (2025)
by: Bardach, Anya, et al.
Published: (2025)
Less or More: Towards Glanceable Explanations for LLM Recommendations Using Ultra-Small Devices
by: Wang, Xinru, et al.
Published: (2025)
by: Wang, Xinru, et al.
Published: (2025)
Fidelity-Aware Recommendation Explanations via Stochastic Path Integration
by: Barkan, Oren, et al.
Published: (2025)
by: Barkan, Oren, et al.
Published: (2025)
Human-AI Collaboration Increases Skill Tagging Speed but Degrades Accuracy
by: Ren, Cheng, et al.
Published: (2024)
by: Ren, Cheng, et al.
Published: (2024)
Creating Healthy Friction: Determining Stakeholder Requirements of Job Recommendation Explanations
by: Schellingerhout, Roan, et al.
Published: (2024)
by: Schellingerhout, Roan, et al.
Published: (2024)
TRACE: A Conversational Framework for Sustainable Tourism Recommendation with Agentic Counterfactual Explanations
by: Banerjee, Ashmi, et al.
Published: (2026)
by: Banerjee, Ashmi, et al.
Published: (2026)
TME-PSR: Time-aware, Multi-interest, and Explanation Personalization for Sequential Recommendation
by: Wang, Qingzhuo, et al.
Published: (2026)
by: Wang, Qingzhuo, et al.
Published: (2026)
More Women, Same Stereotypes: Unpacking the Gender Bias Paradox in Large Language Models
by: Chen, Evan, et al.
Published: (2025)
by: Chen, Evan, et al.
Published: (2025)
Contrastive Explanations That Anticipate Human Misconceptions Can Improve Human Decision-Making Skills
by: Buçinca, Zana, et al.
Published: (2024)
by: Buçinca, Zana, et al.
Published: (2024)
SmartCourse: A Contextual AI-Powered Course Advising System for Undergraduates
by: Mi, Yixuan, et al.
Published: (2025)
by: Mi, Yixuan, et al.
Published: (2025)
Delivering Inflated Explanations
by: Izza, Yacine, et al.
Published: (2023)
by: Izza, Yacine, et al.
Published: (2023)
JobFormer: Skill-Aware Job Recommendation with Semantic-Enhanced Transformer
by: Guan, Zhihao, et al.
Published: (2024)
by: Guan, Zhihao, et al.
Published: (2024)
Combining Embedding-Based and Semantic-Based Models for Post-hoc Explanations in Recommender Systems
by: Le, Ngoc Luyen, et al.
Published: (2024)
by: Le, Ngoc Luyen, et al.
Published: (2024)
EviSnap: Faithful Evidence-Cited Explanations for Cold-Start Cross-Domain Recommendation
by: Dai, Yingjun, et al.
Published: (2026)
by: Dai, Yingjun, et al.
Published: (2026)
Similar Items
-
Auditing an Automatic Grading Model with deep Reinforcement Learning
by: Condor, Aubrey, et al.
Published: (2024) -
The RIGID Framework: Research-Integrated, Generative AI-Mediated Instructional Design
by: Kwak, Yerin, et al.
Published: (2026) -
Leveraging LLM-Respondents for Item Evaluation: a Psychometric Analysis
by: Liu, Yunting, et al.
Published: (2024) -
When Relevance Meets Novelty: Dual-Stable Periodic Optimization for Serendipitous Recommendation
by: Lin, Hongxiang, et al.
Published: (2025) -
Advancing credit mobility through stakeholder-informed AI design and adoption
by: Kwak, Yerin, et al.
Published: (2026)