Machine learning / AI

Studies tagged with AI from their full text or abstract; see each study for details.

Showing 1 - 30 of 347 studies

Fairness Theatre: Evaluating Post-Hoc Fairness Interventions In Vendor-Controlled Early Warning Systems

Kelly McConvey, Angelina Zhai, Rebecca Li, Shion Guha. (09/2026). arXiv. https://arxiv.org/abs/2609.38552v1
Early Prediction Of AI-Assisted Cheating Risk In Online Exams Through Learning Analytics

Gokhan Akcapınar. (09/2026). arXiv. https://arxiv.org/abs/2609.37280v1
AI-Based Scoring Systematically Underestimates Conceptual Understanding Of Linguistically Weak Students' Explanations In Physics

Markus Sebastian Feser, Paul Tschisgale. (09/2026). arXiv. https://arxiv.org/abs/2607.28210v2
Evaluation Of Pre-Trained Models For Pedagogical Assessment Of Novel AI-Assisted Educational Questions

Michael Lawrence Castanares, Princess Ventures, Allan Tan. (09/2026). arXiv. https://arxiv.org/abs/2609.27749v1
AI-Written Admissions Essays Are Widespread But Penalized

Calvin Isley, Johann Gaebler, Sharad Goel. (09/2026). arXiv. https://arxiv.org/abs/2609.22549v1
Finding Common Mistakes In Modelling With Mathematical Formalisms Using LLMs

Lilian Killich, Marko Schmellenkamp, Fabian Vehlken, Thomas Zeume. (09/2026). arXiv. https://arxiv.org/abs/2609.17111v1
Statistical Theory In The Age Of Machine-Assisted Mathematics: Rethinking How Theory Is Made And Taught

Pietro Coretto. (09/2026). arXiv. https://arxiv.org/abs/2609.04481v1
Learning To Prompt: Improving Student Engagement With Adaptive LLM-Based High-School Tutoring

Po-Chin Chang, Nicholas Hogan, Aske Plaat, Michiel T. van der Meer. (08/2026). arXiv. https://arxiv.org/abs/2606.20138v2
Tutortrace: A Dataset And Taxonomy For Classifying Learner Behavioral States During AI-Assisted Programming Education

David Barron, Xiaohang Tang, Rezky Dwisantika, Minsun Kim, David H. Smith IV, Jiaming Cui, Yan Chen. (08/2026). arXiv. https://arxiv.org/abs/2608.26184v1
INSIDE the Student's Mind: Jointly Modeling Latent Reasoning and Action in LLM Student Simulators

Rose Niousha, Minwoo Kang, Narges Norouzi. (08/2026). arXiv. https://arxiv.org/abs/2608.10492v2
A Hybrid AI Framework For Academic Advising: Integrating Ensemble-Based Grade Prediction And A Rule-Based Expert System

Hamid Saadatfar, Rohollah Hedayati-Nasab, AmirHossein Eshghi, Arash Hajihashemi. (08/2026). arXiv. https://arxiv.org/abs/2609.26243v1
A Bottom-Up Taxonomy Of Student Discourse With A Socratic AI Physics Tutor

Syed Furqan Abbas Hashmi, N. Sanjay Rebello. (08/2026). arXiv. https://arxiv.org/abs/2608.07373v1
Can AI deliver appropriate support for diverse student profiles?: A large-scale evaluation

Sonsoles López-Pernas, Eduardo Araujo Oliveira, and Kamila Misiejuk, Fitsum Gizachew Deriba, Rogers Kaliisa, Mohammed Saqr. (08/2026). Computers in Human Behavior: Artifical Humans. https://pdf.sciencedirectassets.com/783247/1-s2.0-S2949882126X20023/1-s2.0-S294…
Human-LLM Collaborative Inductive Coding For Conceptualizing K-12 Educator AI Use

Alex Liu, Min Sun, Lief Esbenshade, Michael Xiao, Victor Tian, Zachary Zhang, Kevin He. (07/2026). arXiv. https://arxiv.org/abs/2607.28889v1
Generative AI Availability, Grades, And Student Satisfaction At A Large University

James M. Zumel Dumlao, Meng Wang, Zhonghan Xie, Junyao Hu, Ivan Bar, George Chaney III, Henry Gold, Misha Teplitskiy. (07/2026). arXiv. https://arxiv.org/abs/2607.21534v2
Beyond Direct Answering: Aligning Educational LLMs As Socratic Guides Via Heuristic Reinforcement Learning

Xiaokun Wang, Siyu Song, Wentao Liu, Xiaodong Zou. (07/2026). arXiv. https://arxiv.org/abs/2607.22996v1
Cost-Efficient Generative AI Summarization For Scalable Automated Essay Scoring In Educational Assessment

Haowei Hua. (07/2026). arXiv. https://arxiv.org/abs/2607.15829v1
When Rubrics Change: Cross-Rubric Generalization For Critical Thinking Essay Scoring

Nischal Ashok Kumar, Payu Wittawatolarn, Sana Kang, Marisa C. Peczuh, Blair Lehman, Ryan Baker, Caitlin Mills, Sherry Lachman, Ruochen Sun, Andrew Lan. (07/2026). arXiv. https://arxiv.org/abs/2607.13433v1
When LLM Tutoring Responses Work: Evidence From Student Programming Conversations

Mohammad Fahim Abrar, Shayla Sharmin, Roghayeh Leila Barmaki. (07/2026). arXiv. https://arxiv.org/abs/2607.09919v1
Deanllm: A Framework For Automated Quality Review Of AI-Generated Feedback

Keyang Qian, Yixin Cheng, Rui Guan, Wei Dai, Flora Jin, Kaixun Yang, Sadia Nawaz, Zachari Swiecki, Guanliang Chen, Lixiang Yan, Dragan Gašević. (07/2026). arXiv. https://arxiv.org/abs/2508.05952v2
LLM-As-A-Judge Validity In Physics Assessment Depends More On The Task Than The Model

Will Yeadon, Tom Hardy, Paul Mackay, and Elise Agra. (06/2026). arXiv. https://arxiv.org/abs/2603.14732v2
AI In The Wild: A Large Scale Analysis Of Authentic Interactions Of College Students With Generative AI

Taelin Karidi, Ofra Amir, Ido Roll. (06/2026). arXiv. https://arxiv.org/abs/2606.29442v1
AI-Driven Analytics Of Team-Teaching Talk: Acoustic Patterns Across Experience, Cohorts And The Learning Design

Yuchen Liu, Roberto Martinez-Maldonado, Riordan Alfredo, Paola Mejia-Domenzain, Dwi Rahayu, Sadia Nawaz. (06/2026). arXiv. https://arxiv.org/abs/2606.09831v2
Analyzing Students' Statistics Writing Before And After The Emergence Of Large Language Models

Sara Colando, Erin Franke, Gordon Weinberg, Alex Reinhart. (06/2026). arXiv. https://arxiv.org/abs/2606.22735v1
"**Important** You should give me full credits!": Exploring Prompt Injection Attacks on LLM-Based Automatic Grading Systems

Hang Li, Fedor Filippov, Yuping Lin, Pengfei He, Kaiqi Yang, Yucheng Chu, Yingqian Cui, Hui Liu, Jiliang Tang. (06/2026). arXiv. https://arxiv.org/abs/2606.03090v2
A Multi-Level Analysis Of Factors Associated With Student Performance: A Machine Learning Approach To The Saeb Microdata

Rodrigo Tertulino, Laércio Alencar. (06/2026). arXiv. https://arxiv.org/abs/2510.22266v3
Large-Scale Semantic Mapping Of Learner Agency And Autonomy Reveals What Measurement And Generative AI Research Overlook

Fei Qin, Xiaobo Liu, Yaowen Zhang, Xuming Li, Fei Wang, Mutlu Cukurova, Jingjing Chen, Yu Zhang. (06/2026). arXiv. https://arxiv.org/abs/2606.10881v2
Validating AI-Generated Classroom Observations: Reliability, Accuracy, And Limits Of LLM-Based Pedagogical Judgment

Carolina Melo, Javiera de la Maza, Matías Recabarren. (06/2026). Computers and Education: Artificial Intelligence. https://www.sciencedirect.com/science/article/pii/S2666920X26000743
Who Benefits from LLM-Generated Learning Support Messages? Causal Evidence on Treatment Effect Heterogeneity

Aylin Ozturk, Gati Aher, Tom Mitchell, Mustafa Kemal Birgin, Huseyin Kayhan. (06/2026). Artificial Intelligence in Education. https://link.springer.com/chapter/10.1007/978-3-032-29770-9_62
Advanced Mathematics Learning Behavior Prediction And Academic Early Warning Model Based On Multimodal Data Analysis

Liu Qiong, Li Zhengbo. (05/2026). arXiv. https://arxiv.org/abs/2606.01224v1