Technical – Computational
Research synthesis is AI-generated, human reviewed. Updated 05/2026.
Displaying 301 - 330 of 598
Fine-tuning for Better Few Shot Prompting: An Empirical Comparison for Short Answer Grading
Joel Walsh, Siddarth Mamidanna, Benjamin Nye, Mark Core and Daniel Auerbach. (08/2025). arXiv. http://arxiv.org/pdf/2508.04063v1
InqEduAgent: Adaptive AI Learning Partners with Gaussian Process Augmentation
Tian-Fang Zhao, Wen-Xi Yang, Guan Liu, Liang Yang. (08/2025). arXiv. http://arxiv.org/pdf/2508.03174v2
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
When AIs Judge AIs: The Rise of Agent-as-a-Judge Evaluation for LLMs
Fangyi Yu. (08/2025). arXiv. http://arxiv.org/pdf/2508.02994v1
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
A Theory of Adaptive Scaffolding for LLM-Based Pedagogical Agents
Clayton Cohn, Surya Rayala, Namrata Srivastava, Joyce Horn Fonteles, Shruti Jain, Xinying Luo, Divya Mereddy, Naveeduddin Mohammed, Gautam Biswas. (08/2025). arXiv. http://arxiv.org/pdf/2508.01503v1
Bridging LLMs and Symbolic Reasoning in Educational QA Systems: Insights from the XAI Challenge at IJCNN 2025
Long S. T. Nguyen, Khang H. N. Vo, Thu H. A. Nguyen, Tuan C. Bui, Duc Q. Nguyen, Thanh-Tung Tran, Anh D. Nguyen, Minh L. Nguyen, Fabien Baldacci, Thang H. Bui, Emanuel Di Nardo, Angelo Ciaramella, Son H. Le, Ihsan Ullah, Lorenzo Di Rocco and Tho T. Quan. (08/2025). arXiv. http://arxiv.org/pdf/2508.01263v1
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
Explainable AI and Machine Learning for Exam-based Student Evaluation: Causal and Predictive Analysis of Socio-academic and Economic Factors
Bushra Akter, Md Biplob Hosen, Sabbir Ahmed, Mehrin Anannya, Md. Farhad Hossain. (08/2025). arXiv. http://arxiv.org/pdf/2508.00785v1
Personalized Education with Ranking Alignment Recommendation
Haipeng Liu, Yuxuan Liu, Ting Long. (07/2025). arXiv. http://arxiv.org/pdf/2507.23664v1
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
Watermark in the Classroom: A Conformal Framework for Adaptive AI Usage Detection
Yangxinyu Xie, Xuyang Chen, Zhimei Ren, Weijie J. Su. (07/2025). arXiv. http://arxiv.org/pdf/2507.23113v1
Decoding Instructional Dialogue: Human-AI Collaborative Analysis of Teacher Use of AI Tool at Scale
Alex Liu, Lief Esbenshade, Shawon Sarkar, Victor Tian, Zachary Zhang, Kevin He, Min Sun. (07/2025). arXiv. http://arxiv.org/pdf/2507.17985v2
EduThink4AI: Translating Educational Critical Thinking into Multi-Agent LLM Systems
Xinmeng Hou, Zhouquan Lu, Wenli Chen, Hai Hu, Qing Guo. (07/2025). arXiv. http://arxiv.org/pdf/2507.15015v1
LEKIA: A Framework for Architectural Alignment via Expert Knowledge Injection
Boning Zhao, Yutong Hu. (07/2025). arXiv. http://arxiv.org/pdf/2507.14944v1
Explainable Collaborative Problem Solving Diagnosis with BERT using SHAP and its Implications for Teacher Adoption
Kester Wong, Sahan Bulathwela and Mutlu Cukurova. (07/2025). arXiv. http://arxiv.org/pdf/2507.14584v1
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
Mitigating Trojanized Prompt Chains In Educational Llm Use Cases: Experimental Findings and Detection Tool Design
Richard M. Charles, Ph.D, James H. Curry, Ph.D, Richard B. Charles. (07/2025). arXiv. http://arxiv.org/pdf/2507.14207v1
On the development of an AI performance and behavioural measures for teaching and classroom management
Andreea I.Niculescu, Jochen Ehnes, Chen Yi, Du Jiawei, Tay Chiat Pin, Joey Tianyi Zhou, Vigneshwaran Subbaraju, Teh Kah Kuan, Tran Huy Dat, Gi Soong Chee, Kenneth Kwok. (07/2025). arXiv. http://arxiv.org/pdf/2506.11143v2
Beyond Classical And Contemporary Models: A Transformative Ai Framework For Student Dropout Prediction In Distance Learning Using RAG, Prompt Engineering, And Cross-Modal Fusion
Miloud Mihoubi, Meriem Zerkouk, Belkacem Chikhaoui. (07/2025). arXiv. http://arxiv.org/pdf/2507.05285v2
Natural Language-based Assessment of L2 Oral Proficiency using LLMs
Stefano Banno, Rao Ma, Mengjie Qian, Siyuan Tang, Kate Knill, Mark Gales. (07/2025). arXiv. http://arxiv.org/pdf/2507.10200v1
AI-Powered Math Tutoring: Platform for Personalized and Adaptive Education
Jaros_aw A. Chudziak, Adam Kostka. (07/2025). arXiv. http://arxiv.org/pdf/2507.12484v1
SentiDrop: A Multi-Modal Machine Learning model for Predicting Dropout in Distance Learning
Meriem Zerkouk, Miloud Mihoubi, Belkacem Chikhaoui. (07/2025). arXiv. http://arxiv.org/pdf/2507.10421v1
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
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, Ana¯s Tack, Justin Vasselli. (07/2025). arXiv. http://arxiv.org/pdf/2507.10579v1
Enhancing Essay Cohesion Assessment: A Novel Item Response Theory Approach
Bruno Alexandre Rosa, Hil‡rio Oliveira, Luiz Rodrigues, Eduardo Araujo Oliveira, Rafael Ferreira Mello. (07/2025). arXiv. http://arxiv.org/pdf/2507.08487v1
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
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
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
