Image de couverture de livre

"Would You Want an AI Tutor?" Understanding Stakeholder Perceptions of LLM-based Systems in the Classroom

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Fuligni, Caterina, Figaredo, Daniel Dominguez, Lewis, Armanda, Stoyanovich, Julia
Format:	Preprint
Publié:	2025
Sujets:	Computers and Society Computation and Language Human-Computer Interaction
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Using Case Studies to Teach Responsible AI to Industry Practitioners
par: Stoyanovich, Julia, et autres
Publié: (2024)

Making Transparency Advocates: An Educational Approach Towards Better Algorithmic Transparency in Practice
par: Bell, Andrew, et autres
Publié: (2024)

Beyond the AI Tutor: Social Learning with LLM Agents
par: Kumar, Harsh, et autres
Publié: (2026)

Enhancing LLM-Based Feedback: Insights from Intelligent Tutoring Systems and the Learning Sciences
par: Stamper, John, et autres
Publié: (2024)

To Deepfake or Not to Deepfake: Higher Education Stakeholders' Perceptions and Intentions towards Synthetic Media
par: Roe, Jasper, et autres
Publié: (2025)

Do Responsible AI Artifacts Advance Stakeholder Goals? Four Key Barriers Perceived by Legal and Civil Stakeholders
par: Kawakami, Anna, et autres
Publié: (2024)

Student Engagement with GenAI's Tutoring Feedback: A Mixed Methods Study
par: Jacobs, Sven, et autres
Publié: (2025)

Understanding Adolescents' Perceptions of Benefits and Risks in Health AI Technologies through Design Fiction
par: Lee, Jamie, et autres
Publié: (2025)

Co-Designing with Multiple Stakeholders and Datasets: A Community-Centered Process to Understand Youth Deviance in the Italian City of Turin
par: Annapureddy, Ravinithesh, et autres
Publié: (2025)

Pensieve Discuss: Scalable Small-Group CS Tutoring System with AI
par: Yang, Yoonseok, et autres
Publié: (2024)

Sakshm AI: Advancing AI-Assisted Coding Education for Engineering Students in India Through Socratic Tutoring and Comprehensive Feedback
par: Gupta, Raj, et autres
Publié: (2025)

Measuring Perceptions of Fairness in AI Systems: The Effects of Infra-marginality
par: Tong, Schrasing, et autres
Publié: (2026)

Human vs. AI Safety Perception? Decoding Human Safety Perception with Eye-Tracking Systems, Street View Images, and Explainable AI
par: Kang, Yuhao, et autres
Publié: (2025)

Stakeholder Perspectives on Humanistic Implementation of Computer Perception in Healthcare: A Qualitative Study
par: Kostick-Quenet, Kristin M., et autres
Publié: (2025)

An Integrated Platform for Studying Learning with Intelligent Tutoring Systems: CTAT+TutorShop
par: Aleven, Vincent, et autres
Publié: (2025)

Would You Rely on an Eerie Agent? A Systematic Review of the Impact of the Uncanny Valley Effect on Trust in Human-Agent Interaction
par: Alipour, Ahdiyeh, et autres
Publié: (2025)

Understanding Stakeholders' Perceptions and Needs Across the LLM Supply Chain
par: Balayn, Agathe, et autres
Publié: (2024)

Understanding the Practices, Perceptions, and (Dis)Trust of Generative AI among Instructors: A Mixed-methods Study in the U.S. Higher Education
par: Lyu, Wenhan, et autres
Publié: (2025)

Do They Understand What They Are Using? -- Assessing Perception and Usage of Biometrics
par: Mecke, Lukas, et autres
Publié: (2024)

Envisioning Stakeholder-Action Pairs to Mitigate Negative Impacts of AI: A Participatory Approach to Inform Policy Making
par: Barnett, Julia, et autres
Publié: (2025)

"Can You Play Anything Else?" Understanding Play Style Flexibility in League of Legends
par: Chen, Emily, et autres
Publié: (2024)

Who is Helping Whom? Student Concerns about AI- Teacher Collaboration in Higher Education Classrooms
par: Han, Bingyi, et autres
Publié: (2024)

"I Would Never Trust Anything Western": Kumu (Educator) Perspectives on Use of LLMs for Culturally Revitalizing CS Education in Hawaiian Schools
par: Mhasakar, Manas, et autres
Publié: (2025)

Understanding the Perceptions of Trigger Warning and Content Warning on Social Media Platforms in the U.S
par: Zhang, Xinyi, et autres
Publié: (2025)

CourseAssist: Pedagogically Appropriate AI Tutor for Computer Science Education
par: Feng, Ty, et autres
Publié: (2024)

Multi-Stakeholder Alignment in LLM-Powered Collaborative AI Systems: A Multi-Agent Framework for Intelligent Tutoring
par: Uchoa, Alexandre P, et autres
Publié: (2025)

AI Across Borders: Exploring Perceptions and Interactions in Higher Education
par: Gerard, Juliana, et autres
Publié: (2024)

GPTutor: Great Personalized Tutor with Large Language Models for Personalized Learning Content Generation
par: Chen, Eason, et autres
Publié: (2024)

Employee Well-being in the Age of AI: Perceptions, Concerns, Behaviors, and Outcomes
par: Sadeghi, Soheila
Publié: (2024)

"I Want My Chart to Be Just for Me": Community-Engaged Design to Support Outpatient Healthcare for Resettled Communities
par: Chen, Zhanming, et autres
Publié: (2025)

RFID-Based Non-Biometric Classroom Attendance System: Proxy Attendance Detection via Weight Sensor Integration
par: Ege, Furkan, et autres
Publié: (2026)

An LLM's Apology: Outsourcing Awkwardness in the Age of AI
par: Stone, Twm, et autres
Publié: (2025)

AURA: Amplifying Understanding, Resilience, and Awareness for Responsible AI Content Work
par: Zhang, Alice Qian, et autres
Publié: (2024)

Understanding and Evaluating Trust in Generative AI and Large Language Models for Spreadsheets
par: Thorne, Simon
Publié: (2024)

Understanding and Supporting Peer Review Using AI-reframed Positive Summary
par: Yang, Chi-Lan, et autres
Publié: (2025)

"The teachers are confused as well": A Multiple-Stakeholder Ethics Discussion on Large Language Models in Computing Education
par: Zhou, Kyrie Zhixuan, et autres
Publié: (2024)

Experiences from Integrating Large Language Model Chatbots into the Classroom
par: Hellas, Arto, et autres
Publié: (2024)

AITEE -- Agentic Tutor for Electrical Engineering
par: Knievel, Christopher, et autres
Publié: (2025)

What You Prompt is What You Get: Increasing Transparency of Prompting Using Prompt Cards
par: Caut, Amandine M., et autres
Publié: (2026)

Mysterious and Manipulative Black Boxes: A Qualitative Analysis of Perceptions on Recommender Systems
par: Ruohonen, Jukka
Publié: (2023)