Technical – Computational
Research synthesis is AI-generated, human reviewed. Updated 05/2026.
Displaying 331 - 360 of 598
AGACCI : Affiliated Grading Agents for Criteria-Centric Interface in Educational Coding Contexts
Kwangsuk Park, Jiwoong Yang. (07/2025). arXiv. http://arxiv.org/pdf/2507.05321v1
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
From Query to Explanation: Uni-RAG for Multi-Modal Retrieval-Augmented Learning in STEM
Xinyi Wu, Yanhao Jia, Luwei Xiao, Shuai Zhao, Fengkuang Chiang, Erik Cambria. (07/2025). arXiv. http://arxiv.org/pdf/2507.03868v1
Detection of Disengagement from Voluntary Quizzes: An Explainable Machine Learning Approach in Higher Distance Education
Behnam Parsaeifard, Christof Imhof, Tansu Pancar, Ioan-Sorin Comsa, Martin Hlosta, Nicole Bergamin and Per Bergamin. (07/2025). arXiv. http://arxiv.org/pdf/2507.02681v2
Autonomous AI Surveillance: Multimodal Deep Learning for Cognitive and Behavioral Monitoring
Ameer Hamza, Zuhaib Hussain But, Umar Arif, Samiya, M. Abdullah Asad, Muhammad Naeem. (07/2025). arXiv. http://arxiv.org/pdf/2507.01590v1
Benchmarking the Pedagogical Knowledge of Large Language Models
Maxime Lelievre, Amy Waldock, Meng Liu, Natalia Valdes Aspillaga, Alasdair Mackintosh, Mar’a JosŽ Ogando Portela, Jared Lee, Paul Atherton, Robin A. A. Ince, Oliver G. B. Garrod. (07/2025). arXiv. http://arxiv.org/pdf/2506.18710v3
Designing an Adaptive Storytelling Platform to Promote Civic Education in Politically Polarized Learning Environments
Christopher M. Wegemer, Edward Halim, Jeff Burke. (06/2025). arXiv. http://arxiv.org/pdf/2507.00161v1
Leveraging a Multi-Agent LLM-Based System to Educate Teachers in Hate Incidents Management
Ewelina Gajewska, Michal Wawer, Katarzyna Budzynska, Jaroslaw A. Chudziak. (06/2025). arXiv. http://arxiv.org/pdf/2506.23774v1
Computer Vision for Objects used in Group Work: Challenges and Opportunities
Changsoo Jung, Sheikh Mannan, Jack Fitzgerald, Nathaniel Blanchard. (06/2025). arXiv. http://arxiv.org/pdf/2507.00224v1
Research on Comprehensive Classroom Evaluation System Based on Multiple AI Models
Xie Cong, Yang Li, Wang Daben, Xiao Jing. (06/2025). arXiv. http://arxiv.org/pdf/2506.23079v1
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
CogGen: A Learner-Centered Generative AI Architecture for Intelligent Tutoring with Programming Videos
Wengxi Li, Roy Pea, Nick Haber, Hariharan Subramonyam. (06/2025). arXiv. http://arxiv.org/pdf/2506.20600v1
Leveraging AI Graders for Missing Score Imputation to Achieve Accurate Ability Estimation in Constructed-Response Tests
Masaki Uto, Yuma Ito. (06/2025). arXiv. http://arxiv.org/pdf/2506.20119v1
Confucius3-Math: A Lightweight High-Performance Reasoning LLM for Chinese K-12 Mathematics Learning
Lixin Wu, Na Cai, Qiao Cheng, Jiachen Wang, Yitao Duan. (06/2025). arXiv. http://arxiv.org/pdf/2506.18330v2
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
Detecting LLM-Generated Short Answers and Effects on Learner Performance
Shambhavi Bhushan, Danielle R. Thomas, Conrad Borchers, Isha Raghuvanshi, Ralph Abboud, Erin Gatz, Shivang Gupta, Kenneth R. Koedinger. (06/2025). arXiv. http://arxiv.org/pdf/2506.17196v1
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
Personalizing Student-Agent Interactions Using Log-Contextualized Retrieval-Augmented Generation (RAG)
Clayton Cohn, Surya Rayala, Caitlin Snyder, Joyce Horn Fonteles, Shruti Jain, Naveeduddin Mohammed, Umesh Timalsina, Sarah K. Burriss, Ashwin T S, Namrata Srivastava, Menton Deweese, Angela Eeds, Gautam Biswas. (06/2025). arXiv. http://arxiv.org/pdf/2505.17238v2
LLM-Driven Personalized Answer Generation and Evaluation
Mohammadreza Molavi, Mohammadreza Tavakoli, Mohammad Moein, Abdolali Faraji, Gabor Kismihok. (06/2025). arXiv. http://arxiv.org/pdf/2506.10829v1
"Check My Work?" Measuring Sycophancy in a Simulated Educational Context
Chuck Arvin. (06/2025). arXiv. http://arxiv.org/pdf/2506.10297v1
Combining Log Data and Collaborative Dialogue Features to Predict Project Quality in Middle School AI Education
Conrad Borchers, Xiaoyi Tian, Kristy Elizabeth Boyer, Maya Israel. (06/2025). arXiv. http://arxiv.org/pdf/2506.11326v1
RETUYT-INCO at BEA 2025 Shared Task: How Far Can Lightweight Models Go in AI-powered Tutor Evaluation?
Santiago G—ngora, Ignacio Sastre, Santiago Robaina, Ignacio Remersaro, Luis Chiruzzo, Aiala Ros‡. (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
SimClass: A Classroom Speech Dataset Generated via Game Engine Simulation For Automatic Speech Recognition Research
Ahmed Adel Attia, Jing Liu, Carol Espy-Wilson. (06/2025). arXiv. http://arxiv.org/pdf/2506.09206v1
Automatic Generation of Inference Making Questions for Reading Comprehension Assessments
Wanjing Anya Ma, Michael Flor, Zuowei Wang. (06/2025). arXiv. http://arxiv.org/pdf/2506.08260v1
Intent Matters: Enhancing AI Tutoring with Fine-Grained Pedagogical Intent Annotation
Kseniia Petukhova, Ekaterina Kochmar. (06/2025). arXiv. http://arxiv.org/pdf/2506.07626v1
Adultification Bias in LLMs and Text-to-Image Models
Jane Castleman, Aleksandra Korolova. (06/2025). arXiv. http://arxiv.org/pdf/2506.07282v1
T-TEXTS (Teaching Text Expansion for Teacher Scaffolding): Enhancing Text Selection in High School Literature through Knowledge Graph-Based Recommendation
Nirmal Gelal, Chloe Snow, Ambyr Rios, Hande Kuuk McGinty. (06/2025). arXiv. http://arxiv.org/pdf/2506.12075v1
Small Models, Big Support: A Local LLM Framework For Teacher-Centric Content Creation And Assessment Using RAG and CAG
Zarreen Reza, Alexander Mazur, Michael T. Dugdale, Robin Ray-Chaudhuri. (06/2025). arXiv. http://arxiv.org/pdf/2506.05925v1
Leveraging Generative AI for Enhancing Automated Assessment in Programming Education Contests
Stefan Dascalescu, Dumitran Adrian Marius, Mihai Alexandru Vasiluta. (06/2025). arXiv. http://arxiv.org/pdf/2506.05990v1
