Breadcrumb
- Home
- AI Hub For Education
- Research Study Repository
- Teaching – Assessment and Feedback
Search and Filter
Repository Feedback
Your feedback helps us improve the repository's content relevance and usability. Please share your thoughts to help us better serve researchers and practitioners.
Submit a research study
Contribute to the repository:
Teaching – Assessment and Feedback
Research synthesis is AI-generated, human reviewed. Updated 05/2026.
Displaying 361 - 390 of 795
Assisting The Grading Of A Handwritten General Chemistry Exam With Artificial Intelligence
Jan Cvengros, Gerd Kortemeyer. (11/2025). arXiv. https://arxiv.org/abs/2509.10591v2
Closing The Loop: An Instructor-In-The-Loop Ai Assistance System For Supporting Student Help-Seeking In Programming Education
Tung Phung, Heeryung Choi, Mengyan Wu, Christopher Brooks, Sumit Gulwani, Adish Singla. (11/2025). arXiv. https://arxiv.org/abs/2510.14457v2
Simulating Students With Large Language Models: A Review Of Architecture, Mechanisms, And Role Modelling In Education With Generative Ai
Luis Marquez-Carpintero, Alberto Lopez-Sellers, Miguel Cazorla. (11/2025). arXiv. https://arxiv.org/abs/2511.06078v1
Artificial Intelligence In Elementary Stem Education: A Systematic Review Of Current Applications And Future Challenges
Majid Memari, Krista Ruggles. (11/2025). arXiv. https://arxiv.org/abs/2511.00105v2
Extracting Causal Relations In Deep Knowledge Tracing
Kevin Hong, Kia Karbasi, Gregory Pottie. (11/2025). arXiv. https://arxiv.org/abs/2511.03948v1
Next Token Knowledge Tracing: Exploiting Pretrained Llm Representations To Decode Student Behaviour.
Max Norris, Kobi Gal and Sahan Bulathwela. (11/2025). arXiv. https://arxiv.org/abs/2511.02599v1
How Teachers Can Use Large Language Models And Bloom'S Taxonomy To Create Educational Quizzes
Sabina Elkins, Ekaterina Kochmar, Jackie C.K. Cheung, Iulian Serban. (11/2025). arXiv. https://arxiv.org/abs/2401.05914v2
From Superficial Outputs To Superficial Learning: Risks Of Large Language Models In Education
IRIS DELIKOURA, YI R. (MAY) FUNG, PAN HUI. (11/2025). arXiv. https://arxiv.org/abs/2509.21972v2
Vibe Learning: Education In The Age Of Ai
Marcos Florencio, Francielle Prieto. (11/2025). arXiv. https://arxiv.org/abs/2511.01956v1
Fairaied: Navigating Fairness, Bias, And Ethics In Educational Ai Applications
Zhipeng Yin, Sribala Vidyadhari Chinta, Zichong Wang, Matthew Gonzalez, Wenbin Zhang. (11/2025). arXiv. https://arxiv.org/abs/2407.18745v2
Autograder+: A Multi-Faceted Ai Framework For Rich Pedagogical Feedback In Programming Education
Vikrant Sahu, Raghav Borikar, Dr. Gagan Raj Gupta, Nitin Mane. (10/2025). arXiv. https://arxiv.org/abs/2510.26402v1
Aiot-Based Smart Education System: A Dual-Layer Authentication And Context-Aware Tutoring Framework For Learning Environments.
Adithya Neelakantan, Pratik Satpute Prerna Shinde, Tejas Manjunatha Devang. (10/2025). arXiv. https://arxiv.org/abs/2510.26999v1
A Systematic Literature Review Of The Use Of Genai Assistants For Code Comprehension: Implications For Computing Education Research And Practice
Yunhan Qiao, Md Istiak Hossain Shihab, Christopher Hundhausen. (10/2025). arXiv. https://arxiv.org/abs/2510.17894v2
Evaluating Ai-Powered Learning Assistants In Engineering Higher Education: Student Engagement, Ethical Challenges, And Policy Implications
Ramteja Sajja, Yusuf Sermet, Brian Fodale, Ibrahim Demir. (10/2025). arXiv. https://arxiv.org/abs/2506.05699v2
"Learning Together": Ai-Mediated Support For Parental Involvement In Everyday Learning
Yao Li, Jingyi Xie, Ya-Fang Lin, He Zhang, Ge Wang, Gaojian Huang, Rui Yu, Si Chen. (10/2025). arXiv. https://arxiv.org/abs/2510.20123v2
Ai & Data Competencies: Scaffolding Holistic Ai Literacy In Higher Education
Kathleen Kennedy & Anuj Gupta. (10/2025). arXiv. https://arxiv.org/abs/2510.24783v1
Pedagogy-Driven Evaluation Of Generative Ai-Powered Intelligent Tutoring Systems
Kaushal Kumar Maurya and Ekaterina Kochmar. (10/2025). arXiv. https://arxiv.org/abs/2510.22581v1
Towards Ai Agents For Course Instruction In Higher Education: Early Experiences From The Field
Yogesh Simmhan, Varad Kulkarni. (10/2025). arXiv. http://arxiv.org/abs/2510.20255v1
Evaluating Nlp Embedding Models For Handling Science-Specific Symbolic Expressions In Student Texts
Tom Bleckmann, Paul Tschisgale. (10/2025). arXiv. http://arxiv.org/abs/2505.17950v2
Designing Knowledge Tools: How Students Transition From Using To Creating Generative Ai In Steam Classroom
Qian Huang, Nachamma Sockalingam, Thijs Willems, King Wang Poon. (10/2025). arXiv. http://arxiv.org/abs/2510.19405v1
Directive, Metacognitive Or A Blend Of Both? A Comparison Of Ai-Generated Feedback Types On Student Engagement, Confidence, And Outcomes
Omar Alsaiari, Nilufar Baghaei, Jason M. Lodge, Omid Noroozi, Dragan Gasevic, Marie Boden, Hassan Khosravi. (10/2025). arXiv. http://arxiv.org/abs/2510.19685v1
Integration of AI in STEM Education, Addressing Ethical Challenges in K-12 Settings
Shaouna Shoaib Lodhi, Shoaib Lodhi. (10/2025). arXiv. http://arxiv.org/abs/2510.19196v1
Relief Or Displacement? How Teachers Are Negotiating Generative Al'S Role In Their Professional Practice
Aayushi Dangol, Smriti Kotiyal, Robert Wolfe, Alex J. Bowers, Antonio Vigil, Jason Yip, Julie A. Kientz, Suleman Shahid, Tom Yeh, Vincent Cho, Katie Davis. (10/2025). arXiv. http://arxiv.org/abs/2510.18296v1
A Survey On Feedback Types In Automated Programming Assessment Systems
Eduard Frankford, Tobias Antensteiner, Michael Vierhauser, Clemens Sauerwein, Vivien Wallner, Iris Groher, Reinhold Plösch, Ruth Breu. (10/2025). arXiv. http://arxiv.org/abs/2510.18923v1
Sketchmind: A Multi-Agent Cognitive Framework For Assessing Student-Drawn Scientific Sketches
Ehsan Latif, Zirak Khan, Xiaoming Zhai. (10/2025). arXiv. http://arxiv.org/abs/2507.22904v2
Integrating Generative Al Into Lms: Reshaping Learning And Instructional Design
Xinran Zhu, Liam Magee, Peg Mischler. (10/2025). arXiv. http://arxiv.org/abs/2510.18026v1
Rubiscot: A Framework For Ai-Supported Academic Assessment
Thorsten Fröhlich, Tim Schlippe. (10/2025). arXiv. http://arxiv.org/abs/2510.17309v1
Interpretability Framework For Llms In Undergraduate Calculus
Sagnik Dakshit, Sushmita Sinha Roy. (10/2025). arXiv. http://arxiv.org/abs/2510.17910v1
Encouraging Students' Responsible Use Of Genai In Software Engineering Education: An Explanatory Model And Two Institutional Applications
Vahid Garousi, Zafar Jafarov, Aytan Movsumova, Atif Namazov, Huseyn Mirzayev. (10/2025). arXiv. http://arxiv.org/abs/2506.00682v2
Human Or Ai? Comparing Design Thinking Assessments By Teaching Assistants And Bots
Sumbul Khan, Wei Ting Liow, Lay Kee Ang. (10/2025). arXiv. http://arxiv.org/abs/2510.16069v1

