Copertina

Listening with Language Models: Using LLMs to Collect and Interpret Classroom Feedback

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Maram, Sai Siddartha, Zaman, Ulia, El-Nasr, Magy Seif
Natura:	Preprint
Pubblicazione:	2025
Soggetti:	Computers and Society Artificial Intelligence
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Beyond Accuracy: Introducing a Symbolic-Mechanistic Approach to Interpretable Evaluation
di: Habibi, Reza, et al.
Pubblicazione: (2026)

Talk, Listen, Connect: How Humans and AI Evaluate Empathy in Responses to Emotionally Charged Narratives
di: Roshanaei, Mahnaz, et al.
Pubblicazione: (2024)

Safety Analysis in the Era of Large Language Models: A Case Study of STPA using ChatGPT
di: Qi, Yi, et al.
Pubblicazione: (2023)

From Individual Prompts to Collective Intelligence: Mainstreaming Generative AI in the Classroom
di: Qadir, Junaid, et al.
Pubblicazione: (2026)

Open Source Language Models Can Provide Feedback: Evaluating LLMs' Ability to Help Students Using GPT-4-As-A-Judge
di: Koutcheme, Charles, et al.
Pubblicazione: (2024)

LLMs in the Classroom: Outcomes and Perceptions of Questions Written with the Aid of AI
di: Witsken, Gavin, et al.
Pubblicazione: (2025)

Classroom AI: Large Language Models as Grade-Specific Teachers
di: Oh, Jio, et al.
Pubblicazione: (2026)

Evaluating Language Models for Generating and Judging Programming Feedback
di: Koutcheme, Charles, et al.
Pubblicazione: (2024)

Are LLMs Court-Ready? Evaluating Frontier Models on Indian Legal Reasoning
di: Juvekar, Kush, et al.
Pubblicazione: (2025)

Interpretability Framework for LLMs in Undergraduate Calculus
di: Dakshit, Sagnik, et al.
Pubblicazione: (2025)

Interpreting Public Sentiment in Diplomacy Events: A Counterfactual Analysis Framework Using Large Language Models
di: Ouyang, Leyi
Pubblicazione: (2025)

Graph-Based Analysis of AI-Driven Labor Market Transitions: Evidence from 10,000 Egyptian Jobs and Policy Implications
di: Dawoud, Ahmed, et al.
Pubblicazione: (2026)

Mechanistic Interpretability of Socio-Political Frames in Language Models
di: Asghari, Hadi, et al.
Pubblicazione: (2025)

What Do You Mean? Exploring How Humans and AI Interact with Symbols and Meanings in Their Interactions
di: Habibi, Reza, et al.
Pubblicazione: (2025)

Visual Chronicles: Using Multimodal LLMs to Analyze Massive Collections of Images
di: Deng, Boyang, et al.
Pubblicazione: (2025)

Temporal Graph Memory Networks For Knowledge Tracing
di: Gad, Seif, et al.
Pubblicazione: (2024)

Scaling Equitable Reflection Assessment in Education via Large Language Models and Role-Based Feedback Agents
di: Zhang, Chenyu, et al.
Pubblicazione: (2025)

Safe for Whom? Rethinking How We Evaluate the Safety of LLMs for Real Users
di: Kempermann, Manon, et al.
Pubblicazione: (2025)

Content Knowledge Identification with Multi-Agent Large Language Models (LLMs)
di: Yang, Kaiqi, et al.
Pubblicazione: (2024)

ROBOPSY PL[AI]: Using Role-Play to Investigate how LLMs Present Collective Memory
di: Jahrmann, Margarete, et al.
Pubblicazione: (2025)

Large Language Models (LLMs) as Agents for Augmented Democracy
di: Gudiño-Rosero, Jairo, et al.
Pubblicazione: (2024)

Fair Classification with Partial Feedback: An Exploration-Based Data Collection Approach
di: Keswani, Vijay, et al.
Pubblicazione: (2024)

Sparks of Rationality: Do Reasoning LLMs Align with Human Judgment and Choice?
di: Tak, Ala N., et al.
Pubblicazione: (2026)

Unlocking Open-Player-Modeling-enhanced Game-Based Learning: The Open Player Socially Analytical Intelligence Architecture
di: Lin, Zhiyu, et al.
Pubblicazione: (2026)

Generative AI Adoption in Classroom in Context of Technology Acceptance Model (TAM) and the Innovation Diffusion Theory (IDT)
di: Ghimire, Aashish, et al.
Pubblicazione: (2024)

Measuring Changes in Instructor Class Design and Student Learning After the Release of Large Language Models (LLMs)
di: Potasznik, Amanda, et al.
Pubblicazione: (2026)

The Urban Impact of AI: Modeling Feedback Loops in Next-Venue Recommendation
di: Mauro, Giovanni, et al.
Pubblicazione: (2025)

Evaluating Language Models for Harmful Manipulation
di: Akbulut, Canfer, et al.
Pubblicazione: (2026)

On Wednesdays, We Ask Questions: Optimizing "Active Listening" in Automated Legal Triage and Referral
di: Steenhuis, Quinten, et al.
Pubblicazione: (2026)

Using Large Language Models to Assess Teachers' Pedagogical Content Knowledge
di: Yang, Yaxuan, et al.
Pubblicazione: (2025)

Should LLMs be WEIRD? Exploring WEIRDness and Human Rights in Large Language Models
di: Zhou, Ke, et al.
Pubblicazione: (2025)

Integrating Generative AI in BIM Education: Insights from Classroom Implementation
di: Sahraoui, Islem, et al.
Pubblicazione: (2025)

Generative AI in K-12 Classrooms: A Midyear Implementation Report
di: Esbenshade, Lief, et al.
Pubblicazione: (2026)

The Journey to Trustworthy AI: Pursuit of Pragmatic Frameworks
di: Nasr-Azadani, Mohamad M, et al.
Pubblicazione: (2024)

Anticipating Innovation Using Large Language Models
di: Fenoaltea, Enrico Maria, et al.
Pubblicazione: (2026)

AI Meets the Classroom: When Do Large Language Models Harm Learning?
di: Lehmann, Matthias, et al.
Pubblicazione: (2024)

Interpretable Graph-Language Modeling for Detecting Youth Illicit Drug Use
di: Li, Yiyang, et al.
Pubblicazione: (2025)

Scrapyard AI
di: Böhlen, Marc, et al.
Pubblicazione: (2026)

Extending Interactive Science Exhibits into the Classroom using Anthropomorphized Chatbots and Bloom's Taxonomy
di: Golding, Yousuf
Pubblicazione: (2024)

Position is Power: System Prompts as a Mechanism of Bias in Large Language Models (LLMs)
di: Neumann, Anna, et al.
Pubblicazione: (2025)