Cost / efficiency analysis

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

Showing 1 - 17 of 17 studies

Studentbench: AI And Human Tutoring Yield Equivalent Gre Learning Gains

Curtis Northcutt, Inaara Hasmani, Kevin Feng, Trevor Khangi, Andreas Plesner, Jonas Mueller. (09/2026). arXiv. https://arxiv.org/abs/2609.28470?utm_source=chatgpt.com
When AI Tutors Speak: Evidence From A Randomized Field Experiment

Shihao Yang, Marshall Van Alstyne, Chrysanthos Dellarocas. (09/2026). arXiv. https://arxiv.org/abs/2609.23958v1
Cost-Efficient Generative AI Summarization For Scalable Automated Essay Scoring In Educational Assessment

Haowei Hua. (07/2026). arXiv. https://arxiv.org/abs/2607.15829v1
Teachmaster: Generative Teaching Via Code

Yuheng Wang, Runde Yang, Lin Wu, Jie Zhang, Jingru Fan, Tianle Zhou, Ruoyu Fu, Huatao Li, Ruijie Shi, Siheng Chen, Weinan E, Chen Qian. (04/2026). arXiv. https://arxiv.org/abs/2601.04204v2
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
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
Beyond End-To-End Video Models: An Llm-Based Multi-Agent System For Educational Video Generation

Lingyong Yan, Jiulong Wu, Dong Xie, Weixian Shi, Deguo Xia, Jizhou Huang. (02/2026). arXiv. https://arxiv.org/pdf/2602.11790v1
Hallucination-Free Automatic Question & Answer Generation For Intuitive Learning

Naile Wang, Aggelos K. Katsaggelos. (01/2026). arXiv. https://arxiv.org/pdf/2601.14280v1
Computational Blueprints: Generating Isomorphic Mathematics Problems With Large Language Models

Jeong-Hoon Kim, Jinwoo Nam, Geunsik Jo. (11/2025). arXiv. https://arxiv.org/abs/2511.07932v1
Llmbridge: Reducing Costs To Access Llms In A Prompt-Centric Internet

Noah Martin, Abdullah Bin Faisal, Hiba Eltigani, Rukhshan Haroon, Swaminathan Lamelas, Fahad Dogar. (10/2025). arXiv. http://arxiv.org/abs/2410.11857v3
Alvorada-Bench: Can Language Models Solve Brazilian University Entrance Exams?

Henrique Godoy. (08/2025). arXiv. http://arxiv.org/pdf/2508.15835v1
Beyond Automation: Socratic AI, Epistemic Agency, and the Implications of the Emergence of Orchestrated Multi-Agent Learning Architectures

Peer-Benedikt Degen, Igor Asanov. (08/2025). arXiv. http://arxiv.org/pdf/2508.05116v1
Benchmarking the Pedagogical Knowledge of Large Language Models

Maxime Lelievre, Amy Waldock, Meng Liu, Natalia Valdes Aspillaga, Alasdair Mackintosh, María José Ogando Portela, Jared Lee, Paul Atherton, Robin A. A. Ince, Oliver Garrod. (07/2025). arXiv. http://arxiv.org/pdf/2506.18710v3
Confucius3-Math: A Lightweight High-Performance Reasoning LLM for Chinese K-12 Mathematics Learning

Lixin Wu, Na Cai, Qiao Cheng, Jiachen Wang, Yitao Duan. (06/2025). arXiv. http://arxiv.org/pdf/2506.18330v2
From Chalkboards to Chatbots: Evaluating the Impact of Generative AI on Learning Outcomes in Nigeria

Martín De Simone, Federico Tiberti, Maria Barron Rodriguez, Federico Manolio, Wuraola Mosuro, Eliot Jolomi Dikoru. (05/2025). arXiv. https://documents.worldbank.org/en/publication/documents-reports/documentdetail…
JiuZhang3.0: Efficiently Improving Mathematical Reasoning by Training Small Data Synthesis Models

Kun Zhou, Beichen Zhang, Jiapeng Wang, Zhipeng Chen, Wayne Xin Zhao, Jing Sha, Zhichao Sheng, Shijin Wang, Ji-Rong Wen. (05/2024). arXiv. http://arxiv.org/pdf/2405.14365v1
Improving Assessment of Tutoring Practices using Retrieval-Augmented Generation

Zifei (FeiFei) Han, Jionghao Lin, Ashish Gurung, Danielle R. Thomas, Eason Chen, Conrad Borchers, Shivang Gupta, Kenneth R. Koedinger. (02/2024). arXiv. https://arxiv.org/pdf/2402.14594