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Teaching – Assessment and Feedback
Research synthesis is AI-generated, human reviewed. Updated 09/2025.
Displaying 91 - 120 of 476
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
Llm-Driven Rubric-Based Assessment Of Algebraic Competence In Multi-Stage Block Coding Tasks With Design And Field Evaluation
Yong Oh Lee, Byeonghun Bang, Sejun Oh. (10/2025). arXiv. http://arxiv.org/abs/2510.06253v1
Lightweight Prompt Engineering For Cognitive Alignment In Educational Ai: A Oneclickquiz Case Study
Antoun Yaacoub, Jerome Da-Rugna, Zainab Assaghir. (10/2025). arXiv. http://arxiv.org/abs/2510.03374v1
Assessment Twins: A Protocol For Ai-Vulnerable Summative Assessment
Jasper Roe, Mike Perkins, Louie Giray. (10/2025). arXiv. http://arxiv.org/abs/2510.02929v1
Can an AI-Powered Presentation Platform Based On The Game "Just a Minute" Be Used To Improve Students' Public Speaking Skills?
Frederic Higham, Tommy Yuan. (10/2025). arXiv. http://arxiv.org/abs/2510.03379v1
Defining A Strategic Action Plan For Ai In Higher Education¬Π
Nikolaos Avouris. (10/2025). arXiv. http://arxiv.org/abs/2510.03343v1
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…
Towards An Ai-Augmented Textbook
LearnLM Team. (09/2025). arXiv. http://arxiv.org/abs/2509.13348v4
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
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
Evaluating undergraduate mathematics examinations in the era of generative AI: a curriculum-level case study
BENJAMIN J. WALKER, NIKOLETA KALAYDZHIEVA, BEATRIZ NAVARRO LAMEDA, RUTH A. REYNOLDS. (09/2025). arXiv. http://arxiv.org/pdf/2509.13359v3
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
Student Engagement with GenAI's Tutoring Feedback: A Mixed Methods Study
Sven Jacobs, Jan Haas, Natalie Kiesler. (09/2025). arXiv. http://arxiv.org/pdf/2509.22974v1
Malaysia's AI-Driven Education Landscape: Policies, Applications, and Comparative Insights For A Digital Future
Fadhilah Jamaluddin, Ahmad Hakiim Jamaluddin, Faridzah Jamaluddin, Faathirah Jamaluddin. (09/2025). arXiv. http://arxiv.org/pdf/2509.21858v1
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
Experimentally Testing AI-Powered Content Transformations on Student Learning
Courtney Heldreth, Laura M. Vardoulakis, Nicole E. Miller, Yael Haramaty, Diana Akrong, Lidan Hackmon, Lior Belinsky. (09/2025). arXiv. http://arxiv.org/pdf/2509.18664v1
AI Knows Best? The Paradox of Expertise, AI-Reliance, and Performance in Educational Tutoring Decision-Making Tasks
Eason Chen, Jeffrey Li, Scarlett Huang, Xinyi Tang, Jionghao Lin, Paulo Carvalho, Kenneth Koedinger. (09/2025). arXiv. http://arxiv.org/pdf/2509.16772v1
Generative AI alone may not be enough: Evaluating AI Support for Learning Mathematical Proof
Eason Chen, Sophia Judicke, Kayla Beigh, Xinyi Tang, Zimo Xiao, Chuangji Li, Shizhuo Li, Reed Luttmer, Shreya Singh, Maria Yampolsky, Naman Parikh, Yi Zhao, Meiyi Chen, Scarlett Huang, Anishka Mohanty, Gregory Johnson, John Mackey, Jionghao Lin, Ken Koedinger. (09/2025). arXiv. http://arxiv.org/pdf/2509.16778v1
From Service-Oriented Computing to Metaverse Services: A Framework for Inclusive and Immersive Learning for Neurodivergent Students
Rachid Hamadi, Abdelmounaam Rezgui, Ali Darejeh. (09/2025). arXiv. http://arxiv.org/pdf/2509.15545v1
An Outcome-Based Educational Recommender System
Nursultan Askarbekuly, Timur Fayzrakhmanov, Sladjan Babarogic, Ivan Lukovic. (09/2025). arXiv. http://arxiv.org/pdf/2509.18186v1
Comparative Analysis of STEM and non-STEM Teachers' Needs for Integrating AI into Educational Environments
Bahare Riahi, Veronica Catete. (09/2025). arXiv. http://arxiv.org/pdf/2509.16276v1
DeliverC: Teaching Pointers through GenAI-Powered Game-Based Learning
Wyatt Petula, Anushcka Joshi, Peggy Tu, Amrutha Somasundar, Suman Saha. (09/2025). arXiv. http://arxiv.org/pdf/2509.14496v1
Perspectives and potential issues in using artificial intelligence for computer science education
Juho Vepsalainen, Petri Juntunen. (09/2025). arXiv. http://arxiv.org/pdf/2509.13730v1
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
