Teaching – Assessment and Feedback
Research synthesis is AI-generated, human reviewed. Updated 05/2026.
Displaying 31 - 60 of 631
Evaluating Adaptive And Generative AI-Based Feedback And Recommendations In A Knowledge-Graph-Integrated Programming Learning System
Lalita Na Nongkhai, Jingyun Wang, Adam Wynn, Takahiko Mendori. (03/2026). arXiv. https://arxiv.org/abs/2603.24940v1
The Landscape Of AI In Science Education: What Is Changing And How To Respond
Xiaoming Zhai, Kent Crippen. (03/2026). arXiv. https://arxiv.org/abs/2602.18469v2
Three Years With Classroom AI In Introductory Programming: Shifts In Student Awareness, Interaction, And Performance
Boxuan Ma, Huiyong Li, Gen Li, Li Chen, Cheng Tang, Atsushi Shimada, and Shin'ichi Konomi. (03/2026). arXiv. https://arxiv.org/abs/2603.22672v1
Beyond Accuracy: Towards A Robust Evaluation Methodology For AI Systems For Language Education
James Edgell, Wm. Matthew Kennedy, Isaac Pattis, Ben Knight, Danielle Carvalho, Elizabeth Wonnacott. (03/2026). arXiv. https://arxiv.org/abs/2603.20088v1
AI In Work-Based Learning: Understanding The Purposes And Effects Of Intelligent Tools Among Student Interns
John Paul P. Miranda, Rhiziel P. Manalese, Sheila M. Geronimo, Vernon Grace M. Maniago, Charlie K. Padilla, Aileen P. De Leon, Santa L. Merle, Mark Anthony A. Castro. (03/2026). arXiv. https://arxiv.org/abs/2603.28786v1
Exploring The Potential Of Chatgpt For Feedback And Evaluation In Experimental Physics
Marcos Abreu, Álvaro Suárez, Cecilia Stari, Arturo C. Marti. (03/2026). arXiv. https://arxiv.org/abs/2603.20412v1
Explainability And Certification Of AI-Generated Educational Assessments
Antoun Yaacoub, Zainab Assaghir, Anuradha Kar. (03/2026). arXiv. https://arxiv.org/abs/2604.09622v1
Guide: Genai Units In Digital Design Education
Weihua Xiao, Jason Blocklove, Matthew DeLorenzo, Johann Knechtel, Ozgur Sinanoglu, Kanad Basu, Jeyavijayan Rajendran, Siddharth Garg, Ramesh Karri. (03/2026). arXiv. https://arxiv.org/abs/2603.17296v1
Practicing With Language Models Cultivates Human Empathic Communication
Aakriti Kumar, Nalin Poungpeth, Diyi Yang, Bruce Lambert, Matthew Groh. (03/2026). arXiv. https://arxiv.org/pdf/2603.15245
Criterion-Referenceability Determines LLM-As-A-Judge Validity Across Physics Assessment Formats
Will Yeadon, Tom Hardy, Paul Mackay, and Elise Agra. (03/2026). arXiv. https://arxiv.org/abs/2603.14732v1
Effective Personalized AI Tutors Via Llm-Guided Reinforcement Learning
Angel Tsai-Hsuan Chung, Botong Zhang, Ling-Chieh Kung, Hamsa Bastani, Osbert Bastani. (03/2026). SSRN. https://papers.ssrn.com/sol3/papers.cfm?abstract_id=6423358
Survey Of Computerized Adaptive Testing: A Machine Learning Perspective
Yan Zhuang, Qi Liu, Haoyang Bi, Zhenya Huang, Weizhe Huang, Jiatong Li, Junhao Yu, Zirui Liu, Zirui Hu, Yuting Hong, Zachary A. Pardos, Haiping Ma, Mengxiao Zhu, Shijin Wang, Enhong Chen. (03/2026). arXiv. https://arxiv.org/abs/2404.00712v4
The Rigid Framework: Research-Integrated, Generative AI-Mediated Instructional Design
Yerin Kwak, Zachary A. Pardos. (03/2026). arXiv. https://arxiv.org/abs/2603.12781v1
Scaling Laws For Educational AI Agents
Mengsong Wu, Hao Hao, Shuzhen Bi, Keqian Li, Wentao Liu, Siyu Song, Hongbo Zhao, and Aimin Zhou. (03/2026). arXiv. https://arxiv.org/abs/2603.11709v1
Generative AI Technologies And Educational Outcomes: A Comprehensive Meta-Analysis Comparing Traditional And AI-Driven Approaches
Ying Dong. (03/2026). Humanities and Social Sciences Communications. https://www.nature.com/articles/s41599-026-06903-y
The Future Of Feedback: How Can AI Help Transform Feedback To Be More Engaging, Effective, And Scalable?
Jennifer Meyer, Olaf Kuller, Thorben Jansen, Johanna Fleckenstein, Michael W. Asher, Sarah Bichler, Laura Brandl, Jasmin Breitwieser, Kai S. Cortina, Mutlu Cukurova, Martin Daumiller, Hannah Deininger, Frank Fischer, Dragan Gasevic, Jeanine Grutter, Anna Hilz, Ioana Jivet, Jelena Jovanovic, Rene F. Kizilcec, Livia Kuklick, Marlit Annalena Lindner, Anastasiya Lipnevich, Ute Mertens, Detmar Meurers, Kou Murayama, Tanya Nazaretsky, Knut Neumann, Ernesto Panadero, Maciej Pankiewicz, Zachary A. Pardos, Chris Piech, Hannah Punjer, Nikol Rummel, Marlene Steinbach, Olga Viberg, Naomi Winstone. (03/2026). arXiv. https://arxiv.org/abs/2603.12463v1
Trace: AI-Assisted Assessment Of Collaborative Projects In Computer Science Education
Songmei Yu, Andrew Zagula. (03/2026). arXiv. https://arxiv.org/abs/2510.03998v3
Shiksha Copilot: Teacher-AI Collaboration For Curating And Customizing Lesson Plans In Low-Resource Schools
Deepak Varuvel Dennison, Bakhtawar Ahtisham, Kavyansh Chourasia, Nirmit Arora, Rahul Singh, Rene F. Kizilcec, Akshay Nambi, Tanuja Ganu, Aditya Vashistha. (03/2026). arXiv. https://arxiv.org/abs/2507.00456v3
Heal: Hindsight Entropy-Assisted Learning For Reasoning Distillation
Wenjing Zhang, Jiangze Yan, Jieyun Huang, Yi Shen, Shuming Shi, Ping Chen, Ning Wang, Zhaoxiang Liu, Kai Wang, Shiguo Lian. (03/2026). arXiv. https://arxiv.org/abs/2603.10359v1
Designing Culturally Aligned AI Systems For Social Good In Non-Western Contexts
Deepak Varuvel Dennison, Mohit Jain, Tanuja Ganu, Aditya Vashistha. (03/2026). arXiv. https://arxiv.org/abs/2509.16158v3
AI Misuse In Education Is A Measurement Problem: Toward A Learning Visibility Framework
Eduardo Davalos, Yike Zhang. (03/2026). arXiv. https://arxiv.org/abs/2603.07834v1
Bridging Moocs, Smart Teaching, And AI: A Decade Of Evolution Toward A Unified Pedagogy
Bo Yuan, Jiazi Hu. (03/2026). arXiv. https://arxiv.org/abs/2507.14266v2
Advancing Problem-Based Learning In Biomedical Engineering In The Era Of Generative AI
Micky C. Nnamdi, J. Ben Tamo, Benoit Marteau, Wenqi Shi, May D. Wang. (03/2026). arXiv. https://arxiv.org/pdf/2503.16558v2
Stem Faculty Perspectives On Generative AI In Higher Education
Akila de Silva, Isabel Hyo Jung Song, Hui Yang, Shah Rukh Humayoun. (03/2026). arXiv. https://arxiv.org/pdf/2603.04001v1
Faster, Cheaper, More Accurate: Specialised Knowledge Tracing Models Outperform Llms
Prarthana Bhattacharyya, Joshua Mitton, Simon Woodhead, Ralph Abboud. (03/2026). arXiv. https://arxiv.org/pdf/2603.02830v1
Ai4Career: Responsible AI For Stem Career Development At Scale In K-16 Education
Sugana Chawla, Si Chen, Julia Qian, Gina Svarovsky, Alison Cheng, Rick Johnson, Nitesh V. Chawla, Ronald Metoyer. (03/2026). arXiv. https://arxiv.org/pdf/2603.02568v1
Conversational Learning Diagnosis Via Reasoning Multi-Turn Interactive Learning
Fangzhou Yao, Sheng Chang, Weibo Gao, Qi Liu. (03/2026). arXiv. https://arxiv.org/pdf/2603.03236v1
Knowledge-Based Design Requirements For Generative Social Robots In Higher Education
S. Vonschallen, D. Oberle, T. Schmiedel, F. Eyssel. (03/2026). arXiv. https://arxiv.org/pdf/2602.12873v3
