Model or benchmark evaluation

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

Showing 91 - 120 of 614 studies

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
Compounding Disadvantage: Auditing Intersectional Bias In LLM-Generated Explanations Across Indian And American STEM Education

Amogh Gupta, Niharika Patil, Sourojit Ghosh, Snehalkumar 'Neil' S. Gaikwad. (03/2026). arXiv. https://arxiv.org/abs/2601.14506v2
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
Quantifying Student Success With Generative AI: A Monte Carlo Simulation Informed By Systematic Review

Seyma Yaman Kayadibi. (03/2026). arXiv. https://arxiv.org/abs/2507.01062v3
Explainability And Certification Of AI-Generated Educational Assessments

Antoun Yaacoub, Zainab Assaghir, Anuradha Kar. (03/2026). arXiv. https://arxiv.org/abs/2604.09622v1
Teachingcoach: A Fine-Tuned Scaffolding Chatbot For Instructional Guidance To Instructors

Isabel R. Molnar, Peiyu Li, Si Chen, Sugana Chawla, James Lang, Ronald Metoyer, Ting Hua, Nitesh V Chawla. (03/2026). arXiv. https://arxiv.org/abs/2603.18189v1
Facet: Teacher-Centred LLM-Based Multi-Agent Systems- Towards Personalized Educational Worksheets

Jana Gonnermann-Muller, Jennifer Haase, Konstantin Fackeldey, Sebastian Pokutta. (03/2026). arXiv. https://arxiv.org/abs/2508.11401v4
From Slides To Chatbots: Enhancing Large Language Models With University Course Materials

Tu Anh Dinh, Philipp Nicolas Schumacher, Jan Niehues. (03/2026). arXiv. https://arxiv.org/abs/2510.22272v2
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
Customizing ChatGPT For Second Language Speaking Practice: Genuine Support Or Just A Marketing Gimmick?

Fanfei Meng. (03/2026). arXiv. https://arxiv.org/abs/2603.14884v1
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
Autoscoring Anticlimax: A Meta-Analytic Understanding Of AI'S Short-Answer Shortcomings And Wording Weaknesses

Michael Hardy. (03/2026). arXiv. https://arxiv.org/pdf/2603.04820v1
Prefdisco: Benchmarking Proactive Personalized Reasoning

Shuyue Stella Li, Avinandan Bose, Faeze Brahman, Simon Shaolei Du, Pang Wei Koh, Maryam Fazel, Yulia Tsvetkov. (03/2026). arXiv. https://arxiv.org/pdf/2510.00177v2
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
When Shallow Wins: Silent Failures And The Depth-Accuracy Paradox In Latent Reasoning

Subramanyam Sahoo, Aman Chadha, Vinija Jain, Divya Chaudhary. (03/2026). arXiv. https://arxiv.org/pdf/2603.03475v1
Baseline Performance Of AI Tools In Classifying Cognitive Demand Of Mathematical Tasks

Danielle Fox, Brenda Robles, Elizabeth DiPietro Brovey, Christian D. Schunn. (03/2026). arXiv. https://arxiv.org/pdf/2603.03512v1
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
Uniskill: A Dataset For Matching University Curricula To Professional Competencies

Nurlan Musazade, Joszef Mezei, Mike Zhang. (03/2026). arXiv. https://arxiv.org/pdf/2603.03134v1
Demonstrating Vividoc: Generating Interactive Documents Through Human-Agent Collaboration

Yinghao Tang, Yupeng Xie, Yingchaojie Feng, Tingfeng Lan, Wei Chen. (03/2026). arXiv. https://arxiv.org/pdf/2603.01912v1
The Aftermath Of Drawedumath: Vision Language Models Underperform With Struggling Students And Misdiagnose Errors

Li Lucy, Albert Zhang, Nathan Anderson, Ryan Knight, Kyle Lo. (03/2026). arXiv. https://arxiv.org/pdf/2603.00925v1
Optimizing In-Context Demonstrations For Llm-Based Automated Grading

Yucheng Chu, Hang Li, Kaiqi Yang, Yasemin Copur-Gencturk, Kevin C. Haudek, Joseph Krajcik, Jiliang Tang. (02/2026). arXiv. https://arxiv.org/pdf/2603.00465v1
Confusion-Aware Rubric Optimization For Llm-Based Automated Grading

Yucheng Chu, Hang Li, Kaiqi Yang, Yasemin Copur-Gencturk, Joseph Krajcik, Namsoo Shin, Jiliang Tang. (02/2026). arXiv. https://arxiv.org/pdf/2603.00451v1
Machine Learning Grade Prediction Using Students' Grades And Demographics

Mwayi SONKHANANI, Symon CHIBAYA, Clement Nyirenda. (02/2026). arXiv. https://arxiv.org/pdf/2603.00608v1
Bridge The Gap: Mitigating Bias Amplification In Automated Scoring Of English Language Learners Via Inter-Group Data Augmentation

Yun Wang, Xuansheng Wu, Jingyuan Huang, Lei Liu, Xiaoming Zhai, Ninghao Liu. (02/2026). arXiv. https://arxiv.org/pdf/2602.23580v1
Perfect Score On Ipho 2025 Theory By Gemini Agent

Yichen Huang. (02/2026). arXiv. https://arxiv.org/pdf/2603.03352v1
A Generalized Apprenticeship Learning Framework For Capturing Evolving Student Pedagogical Strategies

Md Mirajul Islam, Xi Yang, Rajesh Debnath, Adittya Shoukarjya Saha, Min Chi. (02/2026). arXiv. https://arxiv.org/pdf/2602.20527v1
Aitutor-Evalkit: Exploring The Capabilities Of AI Tutors

Numaan Naeem, Kaushal Kumar Maurya, Kseniia Petukhova, Ekaterina Kochmar. (02/2026). arXiv. https://arxiv.org/pdf/2512.03688v2
Multilingual Large Language Models Do Not Comprehend All Natural Languages To Equal Degrees

Natalia Moskvina, Raquel Montero, Masaya Yoshida, Ferdy Hubers, Paolo Morosi, Walid Irhaymi, Jin Yan, Tamara Serrano, Elena Pagliarini, Fritz Gunther, Evelina Leivada. (02/2026). arXiv. https://arxiv.org/pdf/2602.20065v1
"How Do I . . . ?": Procedural Questions Predominate Student-Llm Chatbot Conversations

Alexandra Neagu, Marcus Messer, Peter Johnson, and Rhodri Nelson. (02/2026). arXiv. https://arxiv.org/pdf/2602.18372v1
Aurora: Neuro-Symbolic AI Driven Advising Agent

Lorena Amanda Quincoso Lugones, Christopher Kverne, Nityam Sharadkumar Bhimani, Ana Carolina Oliveira, Agoritsa Polyzou, Christine Lisetti, Janki Bhimani. (02/2026). arXiv. https://arxiv.org/pdf/2602.17999v1