Technical – Computational
Research synthesis is AI-generated, human reviewed. Updated 09/2025.
Displaying 211 - 240 of 577
Teachlm: Post-Training Llms For Education Using Authentic Learning Data
Janos Perczel, Jin Chow, Dorottya Demszky. (10/2025). arXiv. http://arxiv.org/abs/2510.05087v1
Edupersona: Benchmarking Subjective Ability Boundaries Of Virtual Student Agents
Buyuan Zhu, Shiyu Hu, Yiping Ma, Yuanming Zhang, Kang Hao Cheong. (10/2025). arXiv. http://arxiv.org/abs/2510.04648v1
Human Empathy As Encoder: Ai-Assisted Depression Assessment In Special Education
Boning Zhao, Xinnuo Li, Yutong Hu. (10/2025). arXiv. http://arxiv.org/abs/2505.23631v3
Ai-Driven Grading And Moderation For Collaborative Projects In Computer Science Education
Songmei Yu, Andrew Zagula. (10/2025). arXiv. http://arxiv.org/abs/2510.03998v1
Towards An Efficient, Customizable, And Accessible Ai Tutor
Juan Segundo Hevia, Facundo Arredondo, Vishesh Kumar. (10/2025). arXiv. http://arxiv.org/abs/2510.06255v1
Geolog-Ia: Sistema Conversacional Sobre Tesis AcadéMicas
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
Enhancing Personalized Multi-Turn Dialogue With Curiosity Reward
Yanming Wan, Jiaxing Wu, Marwa Abdulhai, Lior Shani, Natasha Jaques. (10/2025). arXiv. http://arxiv.org/abs/2504.03206v3
A Framework for Building High-Quality Education Data for R&D in the Age of AI: The EDSI Dataset and Expert Insights
Jing Liu, Brendon Krall, Sarah Montana, Ting-Yu Ariel Chung, Heather Hill. (10/2025). Center for Educational Data Science and Innovation. https://edsi.umd.edu/publications/framework-building-high-quality-education-dat…
Code2Video: A Code-Centric Paradigm For Educational Video Generation
Yanzhe Chen, Kevin Qinghong Lin, Mike Zheng Shou. (10/2025). arXiv. http://arxiv.org/abs/2510.01174v1
Realclass: A Framework For Classroom Speech Simulation With Public Datasets And Game Engines
Ahmed Adel Attia, Jing Liu, Carol Espy Wilson. (10/2025). arXiv. http://arxiv.org/abs/2510.01462v1
Accurate Predictions In Education With Discrete Variational Inference
Tom Quilter, Anastasija Ilick, Karen Poon, Richard Turner. (09/2025). arXiv. http://arxiv.org/abs/2509.23484v2
Bias-Aware Ai Chatbot For Engineering Advising At The University Of Maryland A. James Clark School Of Engineering
Prarthana P. Kartholy, Neil N. Panchal, Thandi M. Labor, Sean H. Wang, Hillary N. Owusu. (09/2025). arXiv. http://arxiv.org/abs/2510.09636v1
From Frustration to Fun: An Adaptive Problem-Solving Puzzle Game Powered by Genetic Algorithm
Matthew McConnell, Richard Zhao. (09/2025). arXiv. http://arxiv.org/pdf/2509.23796v1
Future-Proofing Programmers: Optimal Knowledge Tracing for AI-Assisted Personalized Education
Yuchen Wang, Pei-Duo Yu, Chee Wei Tan. (09/2025). arXiv. http://arxiv.org/pdf/2509.23996v1
ANVESHANAAI: A Multimodal Platform For Adaptive Ai/Ml Education Through Automated Question Generation And Interactive Assessment
Rakesh Thakur, Diksha Khandelwal, Shreya Tiwari. (09/2025). arXiv. http://arxiv.org/pdf/2509.23811v1
DraftMarks: Enhancing Transparency in Human-AI Co-Writing Through Interactive Skeuomorphic Process Traces
Momin N. Siddiqui, Nikki Nasseri, Adam Coscia, Roy Pea, Hari Subramonyam. (09/2025). arXiv. http://arxiv.org/pdf/2509.23505v1
Comparing RAG and GraphRAG for Page-Level Retrieval Question Answering on Math Textbook
Eason Chen, Chuangji Li, Shizhuo Li, Zimo Xiao, Jionghao Lin, Kenneth R. Koedinger. (09/2025). arXiv. http://arxiv.org/pdf/2509.16780v2
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
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
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
ClassMind: Scaling Classroom Observation and Instructional Feedback with Multimodal AI
Ao Qu, Yuxi Wen, Jiayi Zhang, Yunge Wen, Yibo Zhao, Alok Prakash, Andres Salazar-Gomez, Paul Pu Liang, Jinhua Zhao. (09/2025). arXiv. http://arxiv.org/pdf/2509.18020v1
OnlineMate: An LLM-Based Multi-Agent Companion System for Cognitive Support in Online Learning
Xian Gao, Zongyun Zhang, Ting Liu, Yuzhuo Fu. (09/2025). arXiv. http://arxiv.org/pdf/2509.14803v2
An Outcome-Based Educational Recommender System
Nursultan Askarbekuly, Timur Fayzrakhmanov, Sladjan Babarogic, Ivan Lukovic. (09/2025). arXiv. http://arxiv.org/pdf/2509.18186v1
AI-driven formative assessment and adaptive learning in data-science education: Evaluating an LLM-powered virtual teaching assistant
Fadjimata I.Anaroua, Qing Li, Yan Tang, Hong P.Liu. (09/2025). arXiv. http://arxiv.org/pdf/2509.20369v1
A GPU-Accelerated RAG-Based Telegram Assistant for Supporting Parallel Processing Students
Guy Tel-Zur. (09/2025). arXiv. http://arxiv.org/pdf/2509.11947v1
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
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
Automated Classification of Tutors' Dialogue Acts Using Generative AI: A Case Study Using the CIMA Corpus
Liqun He, Jiaqi Xu. (09/2025). arXiv. http://arxiv.org/pdf/2509.09125v1
