Llama

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

Showing 181 - 210 of 230 studies

EducationQ: Evaluating LLMs' Teaching Capabilities Through Multi-Agent Dialogue Framework

Yao Shi, Rongkeng Liang, Yong Xu. (04/2025). arXiv. https://arxiv.org/pdf/2504.14928v1
Connecting Feedback to Choice: Understanding Educator Preferences in GenAI vs. Human-Created Lesson Plans in K-12 Education - A Comparative Analysis

Shawon Sarkar, Min Sun, Alex Liu, Zewei Tian, Lief Esbenshade, Zachary Zhang, Jian He. (04/2025). arXiv. https://arxiv.org/pdf/2504.05449v1
PAD: Personalized Alignment of LLMS At Decoding-Time

Ruizhe Chen, Xiaotian Zhang, Meng Luo, Wenhao Chai, Zuozhu Liu. (03/2025). arXiv. http://arxiv.org/pdf/2410.04070v6
Evaluating LLMs for Automated Scoring in Formative Assessments

Pedro C. Mendonça, Filipe Quintal, Fábio Mendonça. (03/2025). Applied Sciences. https://doi.org/10.3390/app15052787?urlappend=%3Futm_source%3Dresearchgate.net%…
AIGCodeSet: A New Annotated Dataset for AI Generated Code Detection

Basak Demirok, Mucahid Kutlu. (03/2025). arXiv. https://arxiv.org/pdf/2412.16594
The Art of Storytelling: Multi-Agent Generative AI for Dynamic Multimodal Narratives

Samee Arif, Taimoor Arif, Muhammad Saad Haroon, Aamina Jamal Khan, Agha Ali Raza, Awais Athar. (02/2025). arXiv. http://arxiv.org/pdf/2409.11261v4
EdgeAIGuard: Agentic LLMs for Minor Protection in Digital Spaces

Ghulam Mujtaba, Sunder Ali Khowaja, Kapal Dev. (02/2025). arXiv. https://arxiv.org/pdf/2503.00092
From Correctness to Comprehension: AI Agents for Personalized Error Diagnosis in Education

Yi-Fan Zhang, Hang Li, Dingjie Song, Lichao Sun, Tianlong Xu, Qingsong Wen. (02/2025). arXiv. https://arxiv.org/pdf/2502.13789
SocratiQ: A Generative AI-Powered Learning Companion for Personalized Education and Broader Accessibility

Jason Jabbour, Kai Kleinbard, Olivia Miller, Robert Haussman, Vijay Janapa Reddi. (02/2025). arXiv. https://arxiv.org/pdf/2502.00341
Improve LLM-based Automatic Essay Scoring with Linguistic Features

Zhaoyi Joey Hou, Alejandro Ciuba, Xiang Lorraine Li. (02/2025). arXiv. https://arxiv.org/pdf/2502.09497
Autograding Mathematical Induction Proofs with Natural Language Processing

Chenyan Zhao, Mariana Silva, Seth Poulsen. (02/2025). arXiv. http://arxiv.org/pdf/2406.10268v2
One Size doesn't Fit All: A Personalized Conversational Tutoring Agent for Mathematics Instruction

Ben Liu, Jihai Zhang, Fangquan Lin, Xu Jia, Min Peng. (02/2025). arXiv. https://doi.org/10.48550/arXiv.2502.12633
Unifying AI Tutor Evaluation: An Evaluation Taxonomy for Pedagogical Ability Assessment of LLM-Powered AI Tutors

Kaushal Kumar Maurya, KV Aditya Srivatsa, Kseniia Petukhova, Ekaterina Kochmar. (02/2025). arXiv. https://arxiv.org/pdf/2412.09416
Event Segmentation Applications In Large Language Model Enabled Automated Recall Assessments

Ryan A. Panela, Alexander J. Barnett, Morgan D. Barense, Bjornn Herrmann. (02/2025). arXiv. https://arxiv.org/pdf/2502.13349
A Zero-Shot LLM Framework for Automatic Assignment Grading in Higher Education

Calvin Yeung, Jeff Yu, King Chau Cheung, Tat Wing Wong, Chun Man Chan, Kin Chi Wong, Keisuke Fujii. (01/2025). arXiv. https://arxiv.org/pdf/2501.14305
Enhancing textual textbook question answering with large language models and retrieval augmented generation

Hessa Abdulrahman Alawwad, Areej Alhothali, Usman Naseem, Ali Alkhathlan, Amani Jamal. (01/2025). arXiv. http://arxiv.org/pdf/2402.05128v3
Bridging the Early Science Gap with Artificial Intelligence Evaluating Large Language Models as Tools for Early Childhood Science Education

Annika Bush, Amin Alibakhshi. (01/2025). arXiv. http://arxiv.org/pdf/2501.01192v2
Exploring Iterative Enhancement for Improving Learnersourced Multiple-Choice Question Explanations with Large Language Models

Qiming Bao, Juho Leinonen, Alex Yuxuan Peng, Wanjun Zhong, Gaël Gendron, Tim Pistotti, Alice Huang, Paul Denny, Michael Witbrock, Jiamou Liu. (01/2025). arXiv. http://arxiv.org/pdf/2309.10444v5
iLLuMinaTE: An LLM-XAI Framework Leveraging Social Science Explanation Theories Towards Actionable Student Performance Feedback

Vinitra Swamy, Davide Romano, Bhargav Srinivasa Desikan, Oana-Maria Camburu, Tanja Kaser. (01/2025). arXiv. http://arxiv.org/pdf/2409.08027v2
Improving the Validity of Automatically Generated Feedback via Reinforcement Learning

Alexander Scarlatos, Digory Smith, Simon Woodhead, Andrew Lan. (12/2024). arXiv. http://arxiv.org/pdf/2403.01304v2
AI in Education: Rationale, Principles, and Instructional Implications

Eyvind Elstad. (12/2024). arXiv. http://arxiv.org/pdf/2412.12116v1
Promoting AI Literacy in Higher Education: Evaluating the IEC-V1 Chatbot for Personalized Learning and Educational Equity

Stefan Pietrusky. (12/2024). arXiv. https://arxiv.org/pdf/2412.16165
LLMs as Debate Partners: Utilizing Genetic Algorithms and Adversarial Search for Adaptive Arguments

Prakash Aryan. (12/2024). arXiv. https://arxiv.org/pdf/2412.06229
Automatic Generation of Question Hints for Mathematics Problems using Large Language Models in Educational Technology

Junior Cedric Tonga, Benjamin Clement, Pierre-Yves Oudeyer. (11/2024). arXiv. http://arxiv.org/pdf/2411.03495v1
SBI-RAG: Enhancing Math Word Problem Solving for Students through Schema-Based Instruction and Retrieval-Augmented Generation

Prakhar Dixit, Tim Oates. (11/2024). arXiv. http://arxiv.org/pdf/2410.13293v2
Improving Bilingual Capabilities of Language Models to Support Diverse Linguistic Practices in Education

Anand Syamkumar, Nora Tseng, Kaycie Barron, Shanglin Yang, Shamya Karumbaiah, Rheeya Uppal, Junjie Hu. (11/2024). arXiv. http://arxiv.org/pdf/2411.04308v1
OpenDebateEvidence: A Massive-Scale Argument Mining and Summarization Dataset

Allen Roush, Yusuf Shabazz, Arvind Balaji, Peter Zhang, Stefano Mezza, Markus Zhang, Sanjay Basu, Sriram Vishwanath, Mehdi Fatemi, Ravid Shwartz Ziv. (10/2024). arXiv. http://arxiv.org/pdf/2406.14657v3
MathFish: Evaluating Language Model Math Reasoning via Grounding in Educational Curricula

Li Lucy, Tal August, Rose Wang, Luca Soldaini, Courtney Allison, Kyle Lo. (10/2024). arXiv. https://arxiv.org/pdf/2408.04226
LLM-based Cognitive Models of Students with Misconceptions

Shashank Sonkar, Xinghe Chen, Naiming Liu, Richard G. Baraniuk, Mrinmaya Sachan. (10/2024). arXiv. http://arxiv.org/pdf/2410.12294v2
Beyond Scores: A Modular Rag-Based System For Automatic Short Answer Scoring with Feedback

Menna Fateen, Bo Wang, Tsunenori Mine. (10/2024). arXiv. http://arxiv.org/pdf/2409.20042v2