Gemini / Gemma

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

Showing 241 - 270 of 326 studies

Discerning Minds Or Generic Tutors? Evaluating Instructional Guidance Capabilities In Socratic LLMS

Ying Liu, Can Li, Ting Zhang, Mei Wang, Qiannan Zhu, Jian Li, Hua Huang. (08/2025). arXiv. http://arxiv.org/pdf/2508.06583v1
Learning by Teaching: Engaging Students as Instructors of Large Language Models in Computer Science Education

Xinming Yang, Haasil Pujara, Jun Li. (08/2025). arXiv. http://arxiv.org/pdf/2508.05979v1
SCALEFeedback: A Large-Scale Dataset of Synthetic Computer Science Assignments for LLM-generated Educational Feedback Research

Keyang Qian, Kaixun Yang, Wei Dai, Flora Jin, Yixin Cheng, Rui Guan, Sadia Nawaz, Zachari Swiecki, Guanliang Chen, Lixiang Yan, Dragan Gašević. (08/2025). arXiv. http://arxiv.org/pdf/2508.05953v1
Dean of LLM Tutors: Exploring Comprehensive and Automated Evaluation of LLM-generated Educational Feedback via LLM Feedback Evaluators

Keyang Qian, Yixin Cheng, Rui Guan, Wei Dai, Flora Jin, Kaixun Yang, Sadia Nawaz, Zachari Swiecki, Guanliang Chen, Lixiang Yan, Dragan Gašević. (08/2025). arXiv. http://arxiv.org/pdf/2508.05952v1
Towards Reliable Generative AI-Driven Scaffolding: Reducing Hallucinations and Enhancing Quality in Self-Regulated Learning Support

Keyang Qian, Shiqi Liu, Tongguang Li, Mladen Raković, Xinyu Li, Rui Guan, Inge Molenaar, Sadia Nawaz, Zachari Swiecki, Lixiang Yan, Dragan Gašević. (08/2025). arXiv. http://arxiv.org/pdf/2508.05929v1
Al Conversational Tutors in Foreign Language Learning: A Mixed-Methods Evaluation Study

Nikolaos Avouris. (08/2025). arXiv. http://arxiv.org/pdf/2508.05156v1
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
Assessing the Reliability and Validity of Large Language Models for Automated Assessment of Student Essays in Higher Education

Andrea Gaggioli, Giuseppe Casaburi, Leonardo Ercolani, Francesco Collova, Pietro Torre, Fabrizio Davide. (08/2025). arXiv. http://arxiv.org/pdf/2508.02442v1
Teaching at Scale: Leveraging AI to Evaluate and Elevate Engineering Education

J.-F. Chamberland, M. Carlisle, A. Jayaraman, K. R. Narayanan, S. Palsole, K. Watson. (08/2025). arXiv. http://arxiv.org/pdf/2508.02731v1
Civic Education In The Age Of Al: Should We Trust Al-Generated Lesson Plans?

Torrey Trust, Robert Maloy, Chenyang Xu, Kael Pelletier. (08/2025). Contemporary Issues in Technology and Teacher Education. https://citejournal.org/volume-25/issue-3-25/social-studies/civic-education-in-…
Beyond Agreement: Rethinking Ground Truth in Educational AI Annotation

Danielle R. Thomas, Conrad Borchers, Kenneth R. Koedinger. (07/2025). arXiv. http://arxiv.org/pdf/2508.00143v1
Designing for Learning with Generative AI is a Wicked Problem: An Illustrative Longitudinal Qualitative Case Series

Clara Scalzer, Saurav Pokhrel, Sara Hunt, Greg L Nelson. (07/2025). arXiv. http://arxiv.org/pdf/2507.17230v1
AI-Powered Math Tutoring: Platform for Personalized and Adaptive Education

Jarosław A. Chudziak, Adam Kostka. (07/2025). arXiv. http://arxiv.org/pdf/2507.12484v1
SimStep: Chain-of-Abstractions for Incremental Specification and Debugging of AI-Generated Interactive Simulations

Zoe Kaputa, Anika Rajaram, Vryan Almanon Feliciano, Zhuoyue Lyu, Maneesh Agrawala, Hari Subramonyam. (07/2025). arXiv. http://arxiv.org/pdf/2507.09664v1
Can LLMs Reliably Simulate Real Students' Abilities in Mathematics and Reading Comprehension?

KV Aditya Srivatsa, Kaushal Kumar Maurya, Ekaterina Kochmar. (07/2025). arXiv. http://arxiv.org/pdf/2507.08232v1
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
Creating a customisable freely-accessible Socratic AI physics tutor

Eugenio Tufino, Bor Gregorcic. (07/2025). arXiv. http://arxiv.org/pdf/2507.05795v1
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
Computer Science Education in the Age of Generative AI

Russell Beale. (07/2025). arXiv. http://arxiv.org/pdf/2507.02183v1
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
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
Deciphering Emotions In Children Storybooks: A Comparative Analysis Of Multimodal Llms In Educational Applications

Bushra Asseri, Estabraq Abdelaziz, Maha Al Mogren, Tayef Alhefdhi, Areej Al-Wabil. (06/2025). arXiv. http://arxiv.org/pdf/2506.18201v1
Language Bottleneck Models: A Framework for Interpretable Knowledge Tracing and Beyond

Antonin Berthon, Mihaela van der Schaar. (06/2025). arXiv. http://arxiv.org/pdf/2506.16982v1
Rethinking Citation of AI Sources in Student-AI Collaboration within HCI Design Education

Prakash Shukla, Suchismita Naik, Ike Obi, Jessica Backus, Nancy Rasche, Paul Parsons. (06/2025). arXiv. http://arxiv.org/pdf/2506.08467v2
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
COGENT: A Curriculum-oriented Framework for Generating Grade-appropriate Educational Content

Zhengyuan Liu, Stella Xin Yin, Dion Hoe-Lian Goh, Nancy F. Chen. (06/2025). arXiv. http://arxiv.org/pdf/2506.09367v1
AI Tutors vs. Tenacious Myths: Evidence from Personalised Dialogue Interventions in Education

Brooklyn J. Corbett, Jason M. Tangen. (06/2025). arXiv. http://arxiv.org/pdf/2506.09292v1
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