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Teaching – Assessment and Feedback
Research synthesis is AI-generated, human reviewed. Updated 05/2026.
Displaying 121 - 150 of 741
Use Of AI Tools: Guidelines To Maintain Academic Integrity In Computing Colleges
Hatem M. El-boghdadi, Toqeer Ali Syed, Ali Akarma, and Qamar Wali. (04/2026). arXiv. https://arxiv.org/abs/2604.11111v1
Artificial Intelligence For All? Brazilian Teachers On Ethics, Equity, And The Everyday Challenges Of AI In Education
Bruno Florentino, Andre de Carvalho, Camila Sestito, Wellington Cruz, Robson Bonidia. (04/2026). arXiv. https://arxiv.org/abs/2512.23834v2
Agora: Teaching The Skill Of Consensus-Finding With AI Personas Grounded In Human Voice
Prerna Ravi, Om Gokhale, Suyash Pradeep Fulay, Eugene Yi, Deb Roy, Michiel Bakker. (04/2026). arXiv. https://arxiv.org/abs/2603.07339v3
Developing and Evaluating a Large Language Model-Based Automated Feedback System Grounded in Evidence-Centered Design for Supporting Physics Problem Solving
Holger Maus, Paul Tschisgale, Fabian Kieser, Stefan Petersen, Peter Wulff. (04/2026). arXiv. https://arxiv.org/abs/2512.10785v2
Dialogue Act Patterns In Genai-Mediated L2 Oral Practice: A Sequential Analysis Of Learner-Chatbot Interactions
Liqun He, Shijun (Cindy) Chen, Mutlu Cukurova, Manolis Mavrikis. (04/2026). arXiv. https://arxiv.org/abs/2604.05702v1
Teaching Astronomy With Large Language Models
Yuan-Sen Ting, Teaghan O'Briain. (04/2026). arXiv. https://arxiv.org/abs/2506.06921v2
Opencoderrank: Personalized Technical Assessments With Generative AI
Hridoy Sankar Dutta, Sana Ansari, Swati Kumari, Shounak Ravi Bhalerao. (04/2026). arXiv. https://arxiv.org/abs/2509.06774v2
Amplifying Rural Educators' Perspectives: A Qualitative Study On The Impacts Of Generative AI In Rural U.S. High Schools
Shira Michel, Benjamin Taylor, Sabrina Parra Diaz, Joseph B. Wiggins, Ed Finn, Mahsan Nourani. (04/2026). arXiv. https://arxiv.org/abs/2604.03542v1
Beyond The AI Tutor: Social Learning With LLM Agents
Harsh Kumar, Jonathan Vincentius, Zi Kang (Jace) Mu, Ashton Anderson. (04/2026). arXiv. https://arxiv.org/abs/2604.02677v1
Same Feedback, Different Source: How AI Vs. Human Feedback Attribution And Credibility Shape Learner Behavior In Computing Education
Caitlin Morris, Pattie Maes. (04/2026). arXiv. https://arxiv.org/abs/2604.03075v1
Grounding AI-in-Education Development in Teachers' Voices: Findings from a National Survey in Indonesia
Nurul Aisyah, Muhammad Dehan Al Kautsar, Arif Hidayat, and Fajri Koto. (04/2026). arXiv. https://arxiv.org/abs/2604.01630v1
Benchmarking Educational Llms With Analytics: A Case Study On Gender Bias In Feedback
Yishan Du, Conrad Borchers, Mutlu Cukurova. (04/2026). arXiv. https://arxiv.org/abs/2511.08225v2
How Motivation Relates To Generative AI Use: A Large-Scale Survey Of Mexican High School Students
Echo Zexuan Pan, Danny Glick, Ying Xu. (04/2026). arXiv. https://arxiv.org/abs/2603.19263v2
Evaluating Vision-Language And Large Language Models For Automated Student Assessment In Indonesian Classrooms
Nurul Aisyah, Muhammad Dehan Al Kautsar, Arif Hidayat, Raqib Chowdhury, and Fajri Koto. (04/2026). arXiv. https://arxiv.org/abs/2506.04822v3
Practitioner Voices Summit: How Teachers Evaluate AI Tools Through Deliberative Sensemaking
Dorottya Demszky, Christopher Mah, Helen Higgins. (03/2026). arXiv. https://arxiv.org/abs/2603.22588v3
Evaluating A Data-Driven Redesign Process For Intelligent Tutoring Systems
Qianru Lyu, Conrad Borchers, Meng Xia, Karen Xiao, Paulo F. Carvalho, Kenneth R. Koedinger, and Vincent Aleven. (03/2026). arXiv. https://arxiv.org/abs/2603.29094v1
Evaluating LLMs For Answering Student Questions In Introductory Programming Courses
Thomas Van Mullem, Bart Mesuere, Peter Dawyndt. (03/2026). arXiv. https://arxiv.org/abs/2603.28295v1
Understanding Teacher Revisions Of Large Language Model-Generated Feedback
Conrad Borchers, Luiz Rodrigues, Newarney Torrezao da Costa, Cleon Xavier, Rafael Ferreira Mello. (03/2026). arXiv. https://arxiv.org/abs/2603.27806v1
Artificial Intelligence In Secondary Education: Educational Affordances And Constraints Of ChatGPT-4O Use
Tryfon Sivenas, Panagiota Maragkaki. (03/2026). arXiv. https://arxiv.org/abs/2602.13717v2
Learning To Program Alongside AI: Critical Thinking, AI Ethics, And Gendered Patterns Of German Secondary School Students
Isabella Graßl. (03/2026). arXiv. https://arxiv.org/abs/2603.24197v2
Exploring The Integration Of Extended Reality And Artificial Intelligence (AI) For Remote STEM Education And Assessment
Shadeeb Hossain, Neda Adib, Natalie Sommer. (03/2026). arXiv. https://arxiv.org/abs/2509.03812v2
Beyond Detection: Rethinking Education In The Age Of AI-Writing
Maria Marina, Alexander Panchenko, and Vasily Konovalov. (03/2026). arXiv. https://arxiv.org/abs/2603.25329v1
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
To Use Or Not To Use: Investigating Student Perceptions Of Faculty Generative AI Usage In Higher Education
Jie Gao, Jiayi Zhang, Dan Chen. (03/2026). arXiv. https://arxiv.org/abs/2603.25932v1
An Experimental Evaluation Of An AI-Powered Interactive Learning Platform
Courtney Heldreth, Diana Akrong, Laura M. Vardoulakis, Nicole E. Miller, Yael Haramaty, Lidan Hackmon, Lior Belinsky, Abraham Ortiz Tapia, Lucy Tootill, Scott Siebert. (03/2026). arXiv. https://arxiv.org/abs/2509.18664v2
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
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
