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Teaching – Assessment and Feedback
Research synthesis is AI-generated, human reviewed. Updated 09/2025.
Displaying 1 - 30 of 439
A Framework for Building High-Quality Education Data for R&D in the Age of AI: The EDSI Dataset and Expert Insights
Jing Liu, Brendon Krall, Sarah Montana, Ting-Yu Ariel Chung, Heather Hill. (10/2025). Center for Educational Data Science and Innovation. https://edsi.umd.edu/publications/framework-building-high-quality-education-dat…
Towards An Ai-Augmented Textbook
Amy Wang, Anna Iurchenko, Anisha Choudhury, Alicia Martín, Amir Globerson, Avinatan Hassidim, Ayça Çakmakli, Ayelet Shasha Evron, Charlie Yang, Courtney Heldreth, Diana Akrong, Gal Elidan, Hairong Mu, Ian Li, Ido Cohen, Katherine Chou, Komal Singh, Lev Borovoi, Lidan Hackmon, Lior Belinsky, Michael Fink, Niv Efron, Preeti Singh, Rena Levitt, Shashank Agarwal, Shay Sharon, Tracey Lee-Joe, Xiaohong Hao, Yael Gold-Zamir, Yael Haramaty, Yishay Mor, Yoav Bar Sinai, Yossi Matias. (10/2025). . https://services.google.com/fh/files/misc/ai_augmented_textbook.pdf
Evaluating Undergraduate Mathematics Examinations In The Era Of Generative Ai: A Curriculum-Level Case Study
BENJAMIN J. WALKER, NIKOLETA KALAYDZHIEVA, BEATRIZ NAVARRO LAMEDA, RUTH A. REYNOLDS. (09/2025). arXiv. http://arxiv.org/pdf/2509.13359v3
Llms4All: A Review On Large Language Models For Research And Applications In 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, Ed Maginn, Nuno Moniz, Jason Rohr, Brett Savoie, Daniel Slate, Tom Stapleford, Matthew Webber, Olaf Wiest, Johnny Zhang, Nitesh V Chawla. (09/2025). arXiv. http://arxiv.org/pdf/2509.19580v3
Anveshanaai: A Multimodal Platform For Adaptive Ai/Ml Education Through Automated Question Generation And Interactive Assessment
Rakesh Thakur, Diksha Khandelwal, Shreya Tiwari. (09/2025). arXiv. http://arxiv.org/pdf/2509.23811v1
Future-Proofing Programmers: Optimal Knowledge Tracing For Ai-Assisted Personalized Education
Yuchen Wang, Pei-Duo Yu, Chee Wei Tan. (09/2025). arXiv. http://arxiv.org/pdf/2509.23996v1
Draftmarks: Enhancing Transparency In Human-Ai Co-Writing Through Interactive Skeuomorphic Process Traces
Momin N. Siddiqui, Nikki Nasseri, Adam Coscia, Roy Pea, Hari Subramonyam. (09/2025). arXiv. http://arxiv.org/pdf/2509.23505v1
Accurate Predictions In Education With Discrete Variational Inference
Tom Quilter, Anastasia Ilick, Karen Poon, Richard Turner. (09/2025). arXiv. http://arxiv.org/pdf/2509.23484v1
From Superficial Outputs To Superficial Learning: Risks Of Large Language Models In Education
IRIS DELIKOURA, YI R. (MAY) FUNG, PAN HUI. (09/2025). arXiv. http://arxiv.org/pdf/2509.21972v1
Autoscore: Enhancing Automated Scoring With Multi-Agent Large Language Models Via Structured Component Recognition
Yun Wang, Zhaojun Ding, Xuansheng Wu, Siyue Sun, Ninghao Liu, Xiaoming Zhai. (09/2025). arXiv. http://arxiv.org/pdf/2509.21910v1
Malaysia'S Ai-Driven Education Landscape: Policies, Applications, And Comparative Insights For A Digital Future
Fadhilah Jamaluddin, Ahmad Hakiim Jamaluddin, Faridzah Jamaluddin, Faathirah Jamaluddin. (09/2025). arXiv. http://arxiv.org/pdf/2509.21858v1
Analysis Of Instruction-Based Llms' Capabilities To Score And Judge Text-Input Problems In An Academic Setting
Valeria Ramirez-Garcia, David de-Fitero-Dominguez, Antonio Garcia-Cabot, Eva Garcia-Lopez. (09/2025). arXiv. http://arxiv.org/pdf/2509.20982v1
Enhancing Python Programming Education With An Ai-Powered Code Helper: Design, Implementation, And Impact
Sayed Mahbub Hasan Amiri, Md Mainul Islam. (09/2025). arXiv. http://arxiv.org/pdf/2509.20518v1
The Ai Literacy Heptagon: A Structured Approach To Ai Literacy In Higher Education
Veronika Hackl, Alexandra Elena Müller, Maximilian Sailer. (09/2025). arXiv. http://arxiv.org/pdf/2509.18900v1
Classmind: Scaling Classroom Observation And Instructional Feedback With Multimodal Ai
Ao Qu, Yuxi Wen, Jiayi Zhang, Yunge Wen, Yibo Zhao, Alok Prakash, Andrés F. Salazar-Gómez, Paul Pu Liang, Jinhua Zhao. (09/2025). arXiv. http://arxiv.org/pdf/2509.18020v1
Bringing Pedagogy Into Focus: Evaluating Virtual Teaching Assistants' Question-Answering In Asynchronous Learning Environments
Li Siyan, Zhen Xu, Vethavikashini Chithrra Raghuram, Xuanming Zhang, Renzhe Yu, Zhou Yu. (09/2025). arXiv. http://arxiv.org/pdf/2509.17961v1
Ai Knows Best? The Paradox Of Expertise, Ai-Reliance, And Performance In Educational Tutoring Decision-Making Tasks
Eason Chen, Jeffrey Li, Scarlett Huang, Xinyi Tang, Jionghao Lin, Paulo Carvalho, Kenneth Koedinger. (09/2025). arXiv. http://arxiv.org/pdf/2509.16772v1
Deliverc: Teaching Pointers Through Genai-Powered Game-Based Learning
Wyatt Petula, Anushcka Joshi, Peggy Tu, Amrutha Somasundar, and Suman Saha. (09/2025). arXiv. http://arxiv.org/pdf/2509.14496v1
Comparative Analysis Of Stem And Non-Stem Teachers' Needs For Integrating Ai Into Educational Environments
Bahare Riahi, Veronica Cateté. (09/2025). arXiv. http://arxiv.org/pdf/2509.16276v1
Socratic Mind: Impact Of A Novel Genai-Powered Assessment Tool On Student Learning And Higher-Order Thinking
Jeonghyun Lee, Jui-Tse Hung, Meryem Yilmaz Soylu, Diana Popescu, Christopher Zhang Cui, Gayane Grigoryan, David A Joyner, Stephen W Harmon. (09/2025). arXiv. http://arxiv.org/pdf/2509.16262v1
Perspectives And Potential Issues In Using Artificial Intelligence For Computer Science Education
Juho Vepsäläinen, Petri Juntunen. (09/2025). arXiv. http://arxiv.org/pdf/2509.13730v1
Ai-Driven Formative Assessment And Adaptive Learning In Data-Science Education: Evaluating An Llm-Powered Virtual Teaching Assistant
Fadjimata I.Anaroua, Qing Li, Yan Tang, Hong P.Liu. (09/2025). arXiv. http://arxiv.org/pdf/2509.20369v1
Gen Ai In Proof-Based Math Courses: A Pilot Study
Hannah Klawa, Shraddha Rajpal, Cigole Thomas. (09/2025). arXiv. http://arxiv.org/pdf/2509.13570v1
Participatory Ai: A Scandinavian Approach To Human-Centered Ai
Niklas Elmqvist, Eve Hoggan, Hans-Jörg Schulz, Marianne Graves Petersen, Peter Dalsgaard, Ira Assent, Olav W. Bertelsen, Akhil Arora, Kaj Grønbæk, Susanne Bødker, Clemens N. Klokmose, Rachel Charlotte Smith, Sebastian Hubenschmid, Christoph A. Johns, Gabriela Molina León, Anton Wolter, Johannes Ellemose, Vaishali Dhanoa, Simon Aagaard Enni, Mille Skovhus Lunding, Karl-Emil Kjær Bilstrup, Luke Connelly, Rafael Pablos Sarabia, Morten Birk, Juan Sánchez Esquivel, Joachim Nyborg, Stefanie Zollmann, Tobias Langlotz, Meredith Siang-Yun Chou, Jens Emil Sloth Grønbæk, Michael Wessely, Yijing Jiang, Caroline Berger, Duosi Dai, Michael Mose Biskjaer, Germán Leiva, Jonas Frich, Eva Eriksson, Kim Halskov, Thorbjørn Mikkelsen, Nearchos Potamitis, Michel Yildirim, Arvind Srinivasan, Jeanette Falk, Nanna Inie, Ole Sejer Iversen, Hugo Andersson. (09/2025). arXiv. http://arxiv.org/pdf/2509.12752v1
Prompting The Professoriate: A Qualitative Study Of Instructor Perspectives On Llms In Data Science Education*
Ana Elisa Lopez-Miranda, Tiffany Timbers Rohan Alexander. (09/2025). arXiv. http://arxiv.org/pdf/2509.12283v1
Bridging Cultural Distance Between Models Default And Local Classroom Demands: How Global Teachers Adopt Genai To Support Everyday Teaching Practices
Ruiwei Xiao, Qing Xiao, Xinying Hou, Hanqi Jane Li, Phenyo Phemelo Moletsane, Hong Shen, John Stamper. (09/2025). arXiv. http://arxiv.org/pdf/2509.10780v1
Do Teachers Dream Of Genai Widening Educational (In)Equality? Envisioning The Future Of K-12 Genai Education From Global Teachers' Perspectives
Ruiwei Xiao, Qing Xiao, Xinying Hou, Phenyo Phemelo Moletsane, Hanqi Jane Li, Hong Shen, John Stamper. (09/2025). arXiv. http://arxiv.org/pdf/2509.10782v1
Humanizing Automated Programming Feedback: Fine-Tuning Generative Models With Student-Written Feedback
Victor-Alexandru Pădurean, Tung Phung, Nachiket Kotalwar, Michael Liut, Juho Leinonen, Paul Denny, Adish Singla. (09/2025). arXiv. http://arxiv.org/pdf/2509.10647v1
Assisting The Grading Of A Handwritten General Chemistry Exam With Artificial Intelligence
Jan Cvengros, Gerd Kortemeyer. (09/2025). arXiv. http://arxiv.org/pdf/2509.10591v1
