Educator
Research synthesis is AI-generated, human reviewed. Updated 09/2025.
Displaying 121 - 150 of 590
Advisingwise: Supporting Academic Advising In Higher Education Settings Through A Human-In-The-Loop Multi-Agent Framework
Wendan Jiang, Shiyuan Wang, Hiba Eltigani, Rukhshan Haroon, Abdullah Bin Faisal, Fahad Dogar. (12/2025). arXiv. https://arxiv.org/abs/2511.05706v2
Llm-Based Automated Grading With Human-In-The-Loop
Yucheng Chu, Yasemin Copur-Gencturk, Hang Li, Kaiqi Yang, Jiliang Tang. (12/2025). arXiv. https://arxiv.org/abs/2504.05239v3
Ai-Enabled Grading With Near-Domain Data For Scaling Feedback With Human-Level Accuracy
Shyam Agarwall, Ali Moghimi, Kevin C. Haudek. (12/2025). arXiv. https://arxiv.org/abs/2512.04113v1
Edueval: A Hierarchical Cognitive Benchmark For Evaluating Large Language Models In Chinese Education
Guoqing Ma, Jia Zhu, Hanghui Guo, Weijie Shi, Yue Cui, Jiawei Shen, Zilong Li, Yidan Liang. (11/2025). arXiv. https://arxiv.org/abs/2512.00290v1
Training For Obsolescence? The Ai-Driven Education Trap
Andrew J. Peterson. (11/2025). arXiv. https://arxiv.org/abs/2508.19625v2
Rethinking Ai Evaluation Through Teach-Ai: A Human-Centered Benchmark And Toolkit For Evaluating Ai Assistants In Education
Shi Ding, Brian Magerko. (11/2025). arXiv. https://arxiv.org/abs/2512.04107v1
Scaling Equitable Reflection Assessment In Education Via Large Language Models And Role-Based Feedback Agents
Chenyu Zhang, Xiaohang Luo. (11/2025). arXiv. https://arxiv.org/abs/2511.11772v2
Human Experts' Evaluation Of Generative Ai For Contextualizing Steam Education In The Global South
Matthew Nyaaba, Macharious Nabang, Patrick Kyeremeh, Ibrahim Nantomah, Collins Owusu-Fordjour, Martin Ako, Bismark Nyaaba Akanzire, Kassim Korah Nantomah, Cecilia Issaka, Xiaoming Zhai. (11/2025). arXiv. https://arxiv.org/abs/2511.19482v3
Tutor CoPilot: A Human-AI Approach for Scaling Real-Time Expertise
Rose E. Wang, Ana T. Ribeiro, Carly D. Robinson, Susanna Loeb, Dora Demszky. (11/2025). EdWorkingPapers. https://edworkingpapers.com/ai24-1054
Towards Synergistic Teacher-Ai Interactions With Generative Artificial Intelligence
Mutlu Cukurova, Wannapon Suraworachet, Qi Zhou, Sahan Bulathwela. (11/2025). arXiv. https://arxiv.org/abs/2511.19580v1
Generating Reading Comprehension Exercises With Large Language Models For Educational Applications
Xingyu Huang, Fei Jiang, Jianli Xiao. (11/2025). arXiv. https://arxiv.org/abs/2511.18860v1
Magma-Edu: Multi-Agent Generative Multimodal Framework For Text-Diagram Educational Question Generation
Zhenyu Wu, Jian Li, Hua Huang. (11/2025). arXiv. https://arxiv.org/abs/2511.18714v1
Addressing Situated Teaching Needs: A Multi-Agent Framework For Automated Slide Adaptation
Binglin Liu, Yucheng Wang, Zheyuan Zhang, Jiyuan Lu, Shen Yang, Daniel Zhang-Li, Huiqin Liu, Jifan Yu. (11/2025). arXiv. https://arxiv.org/abs/2511.18840v1
Scaling Item-To-Standard Alignment With Large Language Models: Accuracy, Limits, And Solutions
Farzan Karimi-Malekabadi, Pooya Razavi, Sonya Powers. (11/2025). arXiv. https://arxiv.org/abs/2511.19749v1
Llms4All: A Review Of Large Language Models Across 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, Edward Maginn, Nuno Moniz, Jason Rohr, Brett Savoie, Daniel Slate, Matthew Webber, Olaf Wiest, Johnny Zhang, Nitesh V Chawla. (11/2025). arXiv. https://arxiv.org/abs/2509.19580v5
Enhancing Large Language Models For Automated Homework Assessment In Undergraduate Circuit Analysis
Liangliang Chen, Huiru Xie, Zhihao Qin, Yiming Guo, Jacqueline Rohde, Ying Zhang. (11/2025). arXiv. https://arxiv.org/abs/2511.18221v1
Edumod-Llm: A Modular Approach For Designing Flexible And Transparent Educational Assistants
Meenakshi Mittal, Rishi Khare, Mihran Miroyan, Chancharik Mitra, Narges Norouzi. (11/2025). arXiv. https://arxiv.org/abs/2511.21742v1
Principled Design Of Interpretable Automated Scoring For Large-Scale Educational Assessments
Yunsung Kim, Mike Hardy, Joseph Tey, Candace Thille, Chris Piech. (11/2025). arXiv. https://arxiv.org/abs/2511.17069v1
Musicair: A Multimodal Ai Music Generation Framework Powered By An Algorithm-Driven Core
Callie C. Liao, Duoduo Liao, Ellie L. Zhang. (11/2025). arXiv. https://arxiv.org/abs/2511.17323v1
Generative Ai And Power Imbalances In Global Education: Frameworks For Bias Mitigation
Matthew Nyaaba, Alyson Wright, Gyu Lim Choi. (11/2025). arXiv. https://arxiv.org/abs/2406.02966v4
Generative Ai As A Learning Buddy And A Teaching Assistant: Preservice Teachers' Use And Attitudes
Matthew Nyaaba, Lehong Shi, Macharious Nabang Patrick Kyeremeh, Xiaoming Zhai, Samuel Arthur Ayoberd, Bismark Nyaaba Akanzire. (11/2025). arXiv. https://arxiv.org/abs/2407.11983v2
Exploration Of Summarization By Generative Language Models To Enhance Automated Scoring Of Long Essays
Haowei Hua, Hong Jiao, Xinyi Wang. (11/2025). arXiv. https://arxiv.org/abs/2510.22830v4
Hise-Kt: Synergizing Heterogeneous Information Networks And Llms For Explainable Knowledge Tracing With Meta-Path Optimization
Zhiyi Duan, Zixing Shi, Hongyu Yuan, Qi Wang. (11/2025). arXiv. https://arxiv.org/abs/2511.15191v1
A Framework For Developing University Policies On Generative Ai Governance: A Cross-National Comparative Study
Ming Li, Qin Xie, Ariunaa Enkhtur, Shuoyang Meng, Lilan Chen, Beverley Anne Yamamoto, Fei Cheng, Masayuki Murakami. (11/2025). arXiv. https://arxiv.org/abs/2504.02636v2
Magic: Multi-Agent Argumentation And Grammar Integrated Critiquer
Joaquín Jordán, Xavier Yin, Melissa Fabros, Gireeja Ranade, Narges Norouzi. (11/2025). arXiv. https://arxiv.org/abs/2506.13037v2
Nlp Methods May Actually Be Better Than Professors At Estimating Question Difficulty
Leonidas Zotos, Ivo Pascal de Jong, Matias Valdenegro-Toro, Andreea Ioana Sburlea, Malvina Nissim and Hedderik van Rijn. (11/2025). arXiv. https://arxiv.org/abs/2508.03294v2
The Quick Red Fox Gets The Best Data Driven Classroom Interviews: A Manual For An Interview App And Its Associated Methodology Version 1.0
Jaclyn Ocumpaugh, Luc Paquette, Ryan Baker, Amanda Barany, Jeff Ginger, Neithan Casano, Andres Zambrano, Xiner Liu, Zhanlan Wei, Yiqui Zhou, Sophie Liu, Stephen Hutt, Alexis Andres, Nidhi Nasiar, Camille Giordano, Martin van Velsen, Michael Mogessie. (11/2025). arXiv. https://arxiv.org/abs/2511.13466v1
Small Models, Big Support: A Local Llm Framework For Educator-Centric Content Creation And Assessment With Rag And Cag
Zarreen Reza, Alexander Mazur, Michael T. Dugdale, Robin Ray-Chaudhuri. (11/2025). arXiv. https://arxiv.org/abs/2506.05925v2
Synthguard: An Open Platform For Detecting Ai-Generated Multimedia With Multimodal Llms
Shail Desai, Aditya Pawar, Li Lin, Xin Wang, Shu Hu. (11/2025). arXiv. https://arxiv.org/abs/2511.12404v1
Educators On The Frontline: Philosophical And Realistic Perspectives On Integrating Chatgpt Into The Learning Space
Surajit Das, Peu Majumder, Aleksei Eliseev. (11/2025). arXiv. https://arxiv.org/abs/2511.11960v1
