Llama

Studies tagged with AI from their full text or abstract; see each study for details.

Showing 151 - 180 of 230 studies

Conversational Education at Scale: A Multi-LLM Agent Workflow for Procedural Learning and Pedagogic Quality Assessment

Jiahuan Pei, Fanghua Ye, Xin Sun, Wentao Deng, Koen Hindriks, Junxiao Wang. (07/2025). arXiv. http://arxiv.org/pdf/2507.05528v1
Narrowing the Gap: Supervised Fine-Tuning of Open-Source LLMs as a Viable Alternative to Proprietary Models for Pedagogical Tools

Lorenzo Lee Solano, Charles Koutcheme, Juho Leinonen, Alexandra Vassar, Jake Renzella. (07/2025). arXiv. http://arxiv.org/pdf/2507.05305v1
Benchmarking the Pedagogical Knowledge of Large Language Models

Maxime Lelievre, Amy Waldock, Meng Liu, Natalia Valdes Aspillaga, Alasdair Mackintosh, María José Ogando Portela, Jared Lee, Paul Atherton, Robin A. A. Ince, Oliver Garrod. (07/2025). arXiv. http://arxiv.org/pdf/2506.18710v3
FEAT: A Preference Feedback Dataset through a Cost-Effective Auto-Generation and Labeling Framework for English AI Tutoring

Hyein Seo, Taewook Hwang, Yohan Lee, Sangkeun Jung. (06/2025). arXiv. http://arxiv.org/pdf/2506.19325v2
Our Coding Adventure: Using LLMs to Personalise the Narrative of a Tangible Programming Robot for Preschoolers

Martin Ruskov. (06/2025). arXiv. http://arxiv.org/pdf/2506.20982v1
RETUYT-INCO at BEA 2025 Shared Task: How Far Can Lightweight Models Go in AI-powered Tutor Evaluation?

Santiago Gongora, Ignacio Sastre, Santiago Robaina, Ignacio Remersaro, Luis Chiruzzo, Aiala Rosa. (06/2025). arXiv. http://arxiv.org/pdf/2506.11243v1
Educators' Perceptions of Large Language Models as Tutors: Comparing Human and AI Tutors in a Blind Text-only Setting

Sankalan Pal Chowdhury, Terry Jingchen Zhang, Donya Rooein, Dirk Hovy, Tanja Kasser, Mrinmaya Sachan. (06/2025). arXiv. http://arxiv.org/pdf/2506.08702v1
Adultification Bias in LLMs and Text-to-Image Models

Jane Castleman, Aleksandra Korolova. (06/2025). arXiv. http://arxiv.org/pdf/2506.07282v1
Small Models, Big Support: A Local LLM Framework For Teacher-Centric Content Creation And Assessment Using RAG and CAG

Zarreen Reza, Alexander Mazur, Michael Dugdale, Robin Ray-Chaudhuri. (06/2025). arXiv. http://arxiv.org/pdf/2506.05925v1
Evaluating Vision - Language and Large Language Models for Automated Student Assessment in Indonesian Classrooms

Nurul Aisyah, Muhammad Dehan Al Kautsar, Arif Hidayat, Raqib Chowdhury, Fajri Koto. (06/2025). arXiv. http://arxiv.org/pdf/2506.04822v1
Multiple-Choice Question Generation Using Large Language Models: Methodology and Educator Insights

Giorgio Biancini, Alessio Ferrato, Carla Limongelli. (06/2025). arXiv. http://arxiv.org/pdf/2506.04851v1
Simulating LLM-to-LLM Tutoring for Multilingual Math Feedback

Junior Cedric Tonga, KV Aditya Srivatsa, Kaushal Kumar Maurya, Fajri Koto, Ekaterina Kochmar. (06/2025). arXiv. http://arxiv.org/pdf/2506.04920v1
Facts Do Care About Your Language: Assessing Answer Quality of Multilingual LLMs

Shmuel Berman, Yuval Kansal, Lydia Liu. (06/2025). arXiv. http://arxiv.org/pdf/2506.03051v1
Exploiting the English Vocabulary Profile for L2 word-level vocabulary assessment with LLMs

Stefano Bannò, Knill, Kate, Mark Gales. (06/2025). arXiv. http://arxiv.org/pdf/2506.02758v1
BD at BEA 2025 Shared Task: MPNet Ensembles for Pedagogical Mistake Identification and Localization in AI Tutor Responses

Shadman Rohan, Ishita Sur Apan, Muhtasim Ibteda Shochcho, Md Fahim, Mohammad Ashfaq Ur Rahman, AKM Mahbubur Rahman, Amin Ahsan Ali. (06/2025). arXiv. http://arxiv.org/pdf/2506.01817v1
Machine vs Machine: Using AI to Tackle Generative AI Threats in Assessment

Mohammad Saleh Torkestani, Taha Mansouri. (05/2025). arXiv. http://arxiv.org/pdf/2506.02046v1
Evaluating LLM Adaptation to Sociodemographic Factors: User Profile vs. Dialogue History

Qishuai Zhong, Zongmin Li, Siqi Fan, Aixin Sun. (05/2025). arXiv. http://arxiv.org/pdf/2505.21362v1
Integrating emotional intelligence, memory architecture, and gestures to achieve empathetic humanoid robot interaction in an educational setting

Fuze Sun, Lingyu Li, Shixiangyue Meng, Xiaoming Teng, Terry Payne, Paul Craig. (05/2025). arXiv. http://arxiv.org/pdf/2505.19803v1
Towards Actionable Pedagogical Feedback: A Multi-Perspective Analysis of Mathematics Teaching and Tutoring Dialogue

Jannatun Naim, Jie Cao, Fareen Tasneem, Jennifer Jacobs, Brent Milne, Tamara Sumner, James Martin. (05/2025). arXiv. http://arxiv.org/pdf/2505.07161v1
SAS-Bench: A Fine-Grained Benchmark for Evaluating Short Answer Scoring with Large Language Models

Peichao Lai, Kexuan Zhang, Yi Lin, Linyihan Zhang, Feiyang Ye, Jinhao Yan, Yanwei Xu, Conghui He, Yilei Wang, Wentao Zhang, Bin Cui. (05/2025). arXiv. http://arxiv.org/pdf/2505.07247v2
Are LLMs Ready for English Standardized Tests? A Benchmarking and Elicitation Perspective

Luoxi Tang, Tharunya Sundar, Shuai Yang, Ankita Patra, Manohar Chippada, Giqi Zhao, Yi Li, Riteng Zhang, Tunan Zhao, Ting Yang, Yuqiao Meng, Weicheng Ma, Zhaohan Xi. (05/2025). arXiv. http://arxiv.org/pdf/2505.17056v1
LLM Access Shield: Domain-Specific LLM Framework for Privacy Policy Compliance

Yu Wang, Cailing Cai, Zhihua Xiao, Peifung E. Lam. (05/2025). arXiv. http://arxiv.org/pdf/2505.17145v1
CAFES: A Collaborative Multi-Agent Framework for Multi-Granular Multimodal Essay Scoring

Jiamin Su, Yibo Yan, Zhuoran Gao, Han Zhang, Xiang Liu, Xuming Hu. (05/2025). arXiv. http://arxiv.org/pdf/2505.13965v1
Evolution of AI in Education: Agentic Workflows

Firuz Kamalov, David Santandreu Calonge, Linda Smail, Dilshod Azizov, Dimple R. Thadani, Theresa Kwong, Amara Atif. (04/2025). arXiv. https://arxiv.org/pdf/2504.20082v1
Multilingual Performance Biases of Large Language Models in Education

Vansh Gupta, Sankalan Pal Chowdhury, Vilem Zouhar, Donya Rooein, Mrinmaya Sachan. (04/2025). arXiv. https://arxiv.org/pdf/2504.17720v1
INSIGHT: Bridging the Student-Teacher Gap in Times of Large Language Models

Jarne Thys, Sebe Vanbrabant, Davy Vanacken, Gustavo Rovelo Ruiz. (04/2025). arXiv. https://arxiv.org/pdf/2504.17677v1
AI-University: An LLM-based platform for instructional alignment to scientific classrooms

Mostafa Faghih Shojaei, Rahul Gulati, Benjamin A. Jasperson, Shangshang Wang, Simone Cimolato, Dangli Cao, Willie Neiswanger, Krishna Garikipati. (04/2025). arXiv. https://arxiv.org/pdf/2504.08846v1
STRIVE: A Think & Improve Approach with Iterative Refinement for Enhancing Question Quality Estimation

Aniket Deroy, Subhankar Maity. (04/2025). arXiv. https://arxiv.org/pdf/2504.05693v1
Can Large Language Models Match Tutoring System Adaptivity? A Benchmarking Study

Conrad Borchers, Tianze Shou. (04/2025). arXiv. https://arxiv.org/pdf/2504.05570v1
EduPlanner: LLM-Based Multi-Agent Systems for Customized and Intelligent Instructional Design

Xueqiao Zhang, Chao Zhang, Jianwen Sun, Jun Xiao, Yi Yang, Yawei Luo. (04/2025). arXiv. https://arxiv.org/pdf/2504.05370v1