Buchumschlag

SlideItRight: Using AI to Find Relevant Slides and Provide Feedback for Open-Ended Questions

Fuente: arXiv

Gespeichert in:

Bibliographische Detailangaben
Hauptverfasser:	Zhao, Chloe Qianhui, Cao, Jie, Chen, Eason, Koedinger, Kenneth R., Lin, Jionghao
Format:	Preprint
Veröffentlicht:	2025
Schlagworte:	Human-Computer Interaction
Online-Zugang:	Acceder al recurso
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!

Ähnliche Einträge

LLM-based Multimodal Feedback Produces Equivalent Learning and Better Student Perceptions than Educator Feedback
von: Zhao, Chloe Qianhui, et al.
Veröffentlicht: (2026)

From First Draft to Final Insight: A Multi-Agent Approach for Feedback Generation
von: Cao, Jie, et al.
Veröffentlicht: (2025)

VTutor: An Animated Pedagogical Agent SDK that Provide Real Time Multi-Model Feedback
von: Chen, Eason, et al.
Veröffentlicht: (2025)

Assessing the Impact and Underlying Pathways of Sequenced AI feedback on Student Learning
von: Cao, Jie, et al.
Veröffentlicht: (2026)

GPTutor: Great Personalized Tutor with Large Language Models for Personalized Learning Content Generation
von: Chen, Eason, et al.
Veröffentlicht: (2024)

AI Knows Best? The Paradox of Expertise, AI-Reliance, and Performance in Educational Tutoring Decision-Making Tasks
von: Chen, Eason, et al.
Veröffentlicht: (2025)

Comparing RAG and GraphRAG for Page-Level Retrieval Question Answering on Math Textbook
von: Chen, Eason, et al.
Veröffentlicht: (2025)

VTutor: An Open-Source SDK for Generative AI-Powered Animated Pedagogical Agents with Multi-Media Output
von: Chen, Eason, et al.
Veröffentlicht: (2025)

Improving Automated Feedback Systems for Tutor Training in Low-Resource Scenarios through Data Augmentation
von: Xu, Chentianye, et al.
Veröffentlicht: (2025)

Toward Automated Qualitative Analysis: Leveraging Large Language Models for Tutoring Dialogue Evaluation
von: Gu, Megan, et al.
Veröffentlicht: (2025)

Leveraging Large Language Models for Identifying Knowledge Components
von: Wang, Canwen, et al.
Veröffentlicht: (2025)

VTutor for High-Impact Tutoring at Scale: Managing Engagement and Real-Time Multi-Screen Monitoring with P2P Connections
von: Chen, Eason, et al.
Veröffentlicht: (2025)

How Can I Improve? Using GPT to Highlight the Desired and Undesired Parts of Open-ended Responses
von: Lin, Jionghao, et al.
Veröffentlicht: (2024)

How Can I Get It Right? Using GPT to Rephrase Incorrect Trainee Responses
von: Lin, Jionghao, et al.
Veröffentlicht: (2024)

Using Large Language Models to Assess Tutors' Performance in Reacting to Students Making Math Errors
von: Kakarla, Sanjit, et al.
Veröffentlicht: (2024)

Beyond Repetition: The Role of Varied Questioning and Feedback in Knowledge Generalization
von: Yadav, Gautam, et al.
Veröffentlicht: (2024)

Do Tutors Learn from Equity Training and Can Generative AI Assess It?
von: Thomas, Danielle R., et al.
Veröffentlicht: (2024)

Does Multiple Choice Have a Future in the Age of Generative AI? A Posttest-only RCT
von: Thomas, Danielle R., et al.
Veröffentlicht: (2024)

Not Everyone Wins with LLMs: Behavioral Patterns and Pedagogical Implications for AI Literacy in Programmatic Data Science
von: Ma, Qianou, et al.
Veröffentlicht: (2025)

A Systematic Review on Prompt Engineering in Large Language Models for K-12 STEM Education
von: Chen, Eason, et al.
Veröffentlicht: (2024)

Building Regulation Capacity in Human-AI Collaborative Learning: A Human-Centred GenAI System
von: Zhang, Yujing, et al.
Veröffentlicht: (2026)

SlideAudit: A Dataset and Taxonomy for Automated Evaluation of Presentation Slides
von: Zhang, Zhuohao Jerry, et al.
Veröffentlicht: (2025)

How to Teach Programming in the AI Era? Using LLMs as a Teachable Agent for Debugging
von: Ma, Qianou, et al.
Veröffentlicht: (2023)

Practice Less, Explain More: LLM-Supported Self-Explanation Improves Explanation Quality on Transfer Problems in Calculus
von: Chen, Eason, et al.
Veröffentlicht: (2026)

Generative AI alone may not be enough: Evaluating AI Support for Learning Mathematical Proof
von: Chen, Eason, et al.
Veröffentlicht: (2025)

Improving Assessment of Tutoring Practices using Retrieval-Augmented Generation
von: Han, Zifei FeiFei, et al.
Veröffentlicht: (2024)

Comparing Few-Shot Prompting of GPT-4 LLMs with BERT Classifiers for Open-Response Assessment in Tutor Equity Training
von: Kakarla, Sanjit, et al.
Veröffentlicht: (2025)

Exploring the Roles of NLP-based Dialog Indicators in Predicting User Experience in interacting with Large Language Model System
von: Chen, Eason
Veröffentlicht: (2024)

Simulating Novice Students Using Machine Unlearning and Relearning in Large Language Models
von: Song, Jiajia, et al.
Veröffentlicht: (2026)

OutlineSpark: Igniting AI-powered Presentation Slides Creation from Computational Notebooks through Outlines
von: Wang, Fengjie, et al.
Veröffentlicht: (2024)

Dynamite: Real-Time Debriefing Slide Authoring through AI-Enhanced Multimodal Interaction
von: Keelawat, Panayu, et al.
Veröffentlicht: (2025)

Automated Bias Assessment in AI-Generated Educational Content Using CEAT Framework
von: Peng, Jingyang, et al.
Veröffentlicht: (2025)

Automatic Large Language Models Creation of Interactive Learning Lessons
von: Lin, Jionghao, et al.
Veröffentlicht: (2025)

Effects of Distributed Friction Actuation During Sliding Touch
von: Harnett, MacKenzie, et al.
Veröffentlicht: (2024)

Open-Ended Multi-Modal Relational Reasoning for Video Question Answering
von: Luo, Haozheng, et al.
Veröffentlicht: (2020)

ActiveAI: Enabling K-12 AI Literacy Education & Analytics at Scale
von: Xiao, Ruiwei, et al.
Veröffentlicht: (2024)

LLMs to Support K-12 Teachers in Culturally Relevant Pedagogy: An AI Literacy Example
von: Wang, Jiayi, et al.
Veröffentlicht: (2025)

To Slide or Not to Slide: Exploring Techniques for Comparing Immersive Videos
von: Wang, Xizi, et al.
Veröffentlicht: (2026)

Learning to Use AI for Learning: Teaching Responsible Use of AI Chatbot to K-12 Students Through an AI Literacy Module
von: Xiao, Ruiwei, et al.
Veröffentlicht: (2025)

Are We Asking the Right Questions?: Designing for Community Stakeholders' Interactions with AI in Policing
von: Haque, MD Romael, et al.
Veröffentlicht: (2024)