Llama

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

Showing 121 - 150 of 230 studies

Edumath: Generating Standards-Aligned Educational Math Word Problems

Bryan R. Christ, Penelope Molitz, Jonathan Kropko, Thomas Hartvigsen. (10/2025). arXiv. http://arxiv.org/abs/2510.06965v1
Geolog-Ia: Sistema Conversacional Sobre Tesis Acad‚àö¬©Micas

Micaela Fuel Pozo, Andrea Guatumillo Saltos, Yeseña Tipan Llumiquinga, Kelly Lascano Aguirre, Marilyn Castillo Jara, Christian Mejía-Escobar. (10/2025). arXiv. http://arxiv.org/abs/2510.02653v1
Editlens: Quantifying The Extent Of Ai Editing In Text

Katherine Thai, Bradley Emi, Elyas Masrour, Mohit Iyyer. (10/2025). arXiv. http://arxiv.org/abs/2510.03154v1
A Meta-Analysis Of Llm Effects On Students Across Qualification, Socialisation, And Subjectification

Jiayu Huang, Ruoxin Ritter Wang, Jen-Hao Liu, Boming Xia, Yue Huang, Ruoxi Sun, Jason (Minhui) Xue, Jinan Zou. (09/2025). arXiv. http://arxiv.org/abs/2509.22725v2
LLMS4ALL: A Review On Large Language Models For Research And Applications In Academic Disciplines

Yanfang (Fanny) Ye*, Zheyuan Zhang, Tianyi Ma, Zehong Wang, Yiyang Li, Shifu Hou, Weixiang Sun, Kaiwen Shi, Yijun Ma, Wei Song, Ahmed Abbasi, Ying Cheng, Jane Cleland-Huang, Steven Corcelli, Robert Goulding, Ming Hu, Ting Hua, John Lalor, Fang Liu, Tengfei Luo, Ed Maginn, Nuno Moniz, Jason Rohr, Brett Savoie, Daniel Slate, Tom Stapleford, Matthew Webber, Olaf Wiest, Johnny Zhang, Nitesh V Chawla. (09/2025). arXiv. http://arxiv.org/pdf/2509.19580v3
AutoSCORE: Enhancing Automated Scoring with Multi-Agent Large Language Models via Structured Component Recognition

Yun Wang, Zhaojun Ding, Xuansheng Wu, Siyue Sun, Ninghao Liu, Xiaoming Zhai. (09/2025). arXiv. http://arxiv.org/pdf/2509.21910v1
A Meta-Analysis Of LLM Effects On Students Across Qualification, Socialization, And Subjectification

Jiayu Huang, Ruoxin Ritter Wang, Jen-Hao Liu, Boming Xia, Yue Huang, Ruoxi Sun, Jason (Minhui) Xue, Jinan Zou. (09/2025). arXiv. http://arxiv.org/pdf/2509.22725v1
Analysis of instruction-based LLMs' capabilities to score and judge text-input problems in an academic setting

Valeria Ramirez-Garcia, David de-Fitero-Dominguez, Antonio Garcia-Cabot, Eva Garcia-Lopez. (09/2025). arXiv. http://arxiv.org/pdf/2509.20982v1
Enhancing Python Programming Education with an AI-Powered Code Helper: Design, Implementation, and Impact

Sayed Mahbub Hasan Amiri, Md Mainul Islam. (09/2025). arXiv. http://arxiv.org/pdf/2509.20518v1
A Mega-Study Of Digital Twins Reveals Strengths, Weaknesses And Opportunities For Further Improvement

Tiany Peng, George Gui, Daniel J. Merlau, Grace Jiarui Fan, Malek Ben Sliman, Melanie Brucks, Eric J. Johnson, Vicki Morwitz, Abdullah Althenayyan, Silvia Bellezza, Dante Donati, Hortense Fong, Elizabeth Friedman, Ariana Guevara, Mohamed Hussein, Kinshuk Jerath, Bruce Kogut, Kristen Lane, Hannah Li, Patryk Perkowski, Oded Netzer, Olivier Toubia. (09/2025). arXiv. http://arxiv.org/pdf/2509.19088v1
Bringing Pedagogy into Focus: Evaluating Virtual Teaching Assistants' Question-Answering in Asynchronous Learning Environments

Li Siyan, Zhen Xu, Vethavikashini Chithrra Raghuram, Xuanming Zhang, Renzhe Yu, Zhou Yu. (09/2025). arXiv. http://arxiv.org/pdf/2509.17961v1
RAGs to Riches: RAG-like Few-shot Learning for Large Language Model Role-playing

Timothy Rupprecht, Enfu Nan, Arash Akbari, Arman Akbari, Lei Lu, Priyanka Maana, Sean Duffy, Pu Zhao, Yumei He, David Kael, Yanzhi Wang. (09/2025). arXiv. http://arxiv.org/pdf/2509.12168v1
Exploring Conversational Design Choices in LLMs for Pedagogical Purposes: Socratic and Narrative Approaches for Improving Instructor's Teaching Practice

Si Chen, Isabel R. Molnar, Peiyu Li, Adam Acunin, Ting Hua, Alex Ambrose, Nitesh V Chawla, Ronald Metoyer. (09/2025). arXiv. http://arxiv.org/pdf/2509.12107v1
Humanizing Automated Programming Feedback: Fine-Tuning Generative Models with Student-Written Feedback

Victor-Alexandru Padurean, Tung Phung, Nachiket Kotalwar, Michael Liut, Juho Leinonen, Paul Denny, Adish Singla. (09/2025). arXiv. http://arxiv.org/pdf/2509.10647v1
YouthSafe: A Youth-Centric Safety Benchmark and Safeguard Model for Large Language Models

Yaman Yu, Yiren Liu, Jacky Zhang, Yun Huang, Yang Wang. (09/2025). arXiv. http://arxiv.org/pdf/2509.08997v1
MathBuddy: A Multimodal System for Affective Math Tutoring

Debanjana Kar, Leopold Böss, Dacia Braca, Sebastian Maximilian Dennerlein, Nina Christine Hubig, Philipp Wintersberger, Yufang Hou. (08/2025). arXiv. http://arxiv.org/pdf/2508.19993v1
Instructional Agents: LLM Agents on Automated Course Material Generation for Teaching Faculties

Huaiyuan Yao, Wanpeng Xu, Justin Turnau, Nadia Kellam, Hua Wei. (08/2025). arXiv. http://arxiv.org/pdf/2508.19611v1
Automatic Question & Answer Generation Using Generative Large Language Model (LLM)

Abdollahi Hasan, Md. Alvee Ehsan, Kefaya Benta Shahnoor, Syeda Sumaiya Tasneem. (08/2025). arXiv. http://arxiv.org/pdf/2508.19475v1
Detecting Struggling Student Programmers using Proficiency Taxonomies

Noga Schwartz, Roy Fairstein, Avi Segal, Kobi Gal. (08/2025). arXiv. http://arxiv.org/pdf/2508.17353v1
GOLDMIND: A Teacher-Centered Knowledge Management System For Higher Education AI Lessons From Iterative Design

Gloria Fernández-Nieto, Lele Sha, Yuheng Li, Yi-Shan Tsai, Guanliang Chen, Yinwei Wei, Weiqing Wang, Jinchun Wen, Shaveen Singh, Ivan Silva, Yuanfang Li, Dragan Gašević, Zachari Swiecki. (08/2025). arXiv. http://arxiv.org/pdf/2508.04377v2
Exploring the Application of Visual Question Answering (VQA) for Classroom Activity Monitoring

Sinh Trong Vu, Hieu Trung Pham, Dung Manh Nguyen, Hieu Minh Hoang, Nhu Hoang Le, Thu Ha Pham, Tai Tan Mai. (08/2025). arXiv. http://arxiv.org/pdf/2507.22369v2
CODAE: Adapting Large Language Models for Education via Chain-of-Thought Data Augmentation

Shuzhou Yuan, William LaCroix, Hardik Ghoshal, Ercong Nie, Michael Färber. (08/2025). arXiv. http://arxiv.org/pdf/2508.08386v1
A Fuzzy Logic Prompting Framework for Large Language Models in Adaptive and Uncertain Tasks

Vanessa Figueiredo. (08/2025). arXiv. http://arxiv.org/pdf/2508.06754v1
Fine-tuning for Better Few Shot Prompting: An Empirical Comparison for Short Answer Grading

Joel Walsh, Siddarth Mamidanna, Benjamin Nye, Mark Core, Daniel Auerbach. (08/2025). arXiv. http://arxiv.org/pdf/2508.04063v1
From Answers to Questions: EQGBench for Evaluating LLMs' Educational Question Generation

Chengliang Zhou, Mei Wang, Ting Zhang, Qiannan Zhu, Jian Li, Hua Huang. (08/2025). arXiv. http://arxiv.org/pdf/2508.10005v1
WIP: Enhancing Game-Based Learning with AI-Driven Peer Agents

Chengzhang Zhu, Cecile H. Sam, Yanlai Wu, Ying Tang. (08/2025). arXiv. http://arxiv.org/pdf/2508.01169v1
Using LLMs to identify features of personal and professional skills in an open-response situational judgment test

Cole Walsh, Rodica Ivan, Muhammad Zafar Iqbal, Colleen Robb. (07/2025). arXiv. http://arxiv.org/pdf/2507.13881v1
Findings of MEGA: Maths Explanation with LLMs using the Socratic Method for Active Learning

Tosin Adewumi, Foteini Simistira Liwicki, Marcus Liwicki, Viktor Gardelli, Lama Alkhaled, Hamam Mokayed. (07/2025). arXiv. http://arxiv.org/pdf/2507.12079v1
Findings of the BEA 2025 Shared Task on Pedagogical Ability Assessment of AI-powered Tutors

Ekaterina Kochmar, Kaushal Kumar Maurya, Kseniia Petukhova, KV Aditya Srivatsa, Anaïs Tack, Justin Vasselli. (07/2025). arXiv. http://arxiv.org/pdf/2507.10579v1
Exploring LLMs for Predicting Tutor Strategy and Student Outcomes in Dialogues

Fareya Ikram, Alexander Scarlatos, Andrew Lan. (07/2025). arXiv. http://arxiv.org/pdf/2507.06910v1