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Teaching – Assessment and Feedback
Research synthesis is AI-generated, human reviewed. Updated 09/2025.
Displaying 181 - 210 of 476
A Comprehensive Review of AI-based Intelligent Tutoring Systems: Applications and Challenges
Meriem Zerkouk, Miloud Mihoubi, Belkacem Chikhaoui. (07/2025). arXiv. http://arxiv.org/pdf/2507.18882v1
AI + LEARNING DIFFERENCES: Designing a Future with No Boundaries
Nneka J. McGee, Elizabeth Kozleski, Christopher J. Lemons, Isabelle C. Hau. (07/2025). Stanford Accelerator for Learning. https://acceleratelearning.stanford.edu/app/uploads/2025/07/AI-Learning-Differe…
AI, Expert or Peer? Examining the Impact of Perceived Feedback Source on Pre-Service Teachers Feedback Perception and Uptake
Lucas Jasper Jacobsen, Ute Mertens, Thorben Jansen, Kira Elena Weber. (07/2025). arXiv. http://arxiv.org/pdf/2507.16013v1
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
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
Bridging MOOCs, Smart Teaching, and AI: A Decade of Evolution Toward a Unified Pedagogy
Bo Yuan, Jiazi Hu. (07/2025). arXiv. http://arxiv.org/pdf/2507.14266v1
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
Partnering with AI: A Pedagogical Feedback System for LLM Integration into Programming Education
Niklas Scholz, Manh Hung Nguyen, Adish Singla, Tomohiro Nagashima. (07/2025). arXiv. http://arxiv.org/pdf/2507.00406v2
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
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
Do AI tutors empower or enslave learners? Toward a critical use of AI in education
Lucile Favero, Juan Antonio PŽrez-Ortiz, Tanja K‡sser and Nuria Oliver. (07/2025). arXiv. http://arxiv.org/pdf/2507.06878v1
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
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
Teacher training in the age of AI: Impact on AI Literacy and Teachers' Attitudes
Julia Lademann, Jannik Henze, Nadine Honke, Caroline Wollny, Sebastian Becker-Genschow. (07/2025). arXiv. http://arxiv.org/pdf/2507.03011v1
Computer Science Education in the Age of Generative AI
Russell Beale. (07/2025). arXiv. http://arxiv.org/pdf/2507.02183v1
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
Text Production and Comprehension by Human and Artificial Intelligence: Interdisciplinary Workshop Report
Patrick Bolger, Morten H. Christiansen, Bill Cope, Pablo Contreras Kallens, Mary Kalantzis, Kyle Mahowald, Martin Pickering, Michael Ramscar, Alina Reznitskaya, Leila Wehbe, Wei Xu, Evgeny Chukharev, Emily Dux Speltz, Mark Torrance, Kimberly Becker, Phuong Nguyen, Dan Song. (07/2025). arXiv. http://arxiv.org/pdf/2506.22698v2
The Impact of AI on Educational Assessment: A Framework for Constructive Alignment
Patrick Stokkink. (07/2025). arXiv. http://arxiv.org/pdf/2506.23815v2
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
Assessing GPTZero's Accuracy in Identifying AI vs. Human-Written Essays
Selin Dik, Osman Erdem, Mehmet Dik. (06/2025). arXiv. http://arxiv.org/pdf/2506.23517v1
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
That's Not the Feedback I Need! - Student Engagement with GenAI Feedback in the Tutor Kai
Sven Jacobs, Maurice Kempf, Natalie Kiesler. (06/2025). arXiv. http://arxiv.org/pdf/2506.20433v2
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
Can theory-driven learning analytics dashboard enhance human-AI collaboration in writing learning? Insights from an empirical experiment
Angxuan Chen, Jingjing Lian, Xinran Kuang, Jiyou Jia. (06/2025). arXiv. http://arxiv.org/pdf/2506.19364v1
How trust networks shape students' opinions about the proficiency of artificially intelligent assistants
Yutong Bu, Andrew Melatos, Robin Evans. (06/2025). arXiv. http://arxiv.org/pdf/2506.19655v1
