Machine learning / AI

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

Showing 301 - 330 of 347 studies

FAIREDU: A Multiple Regression-Based Method for Enhancing Fairness in Machine Learning Models for Educational Applications

Nga Pham, Minh Kha Do, Tran Vu Dai, Pham Ngoc Hung, Anh Nguyen-Duc. (10/2024). arXiv. https://arxiv.org/pdf/2410.06423
OpenDebateEvidence: A Massive-Scale Argument Mining and Summarization Dataset

Allen Roush, Yusuf Shabazz, Arvind Balaji, Peter Zhang, Stefano Mezza, Markus Zhang, Sanjay Basu, Sriram Vishwanath, Mehdi Fatemi, Ravid Shwartz Ziv. (10/2024). arXiv. http://arxiv.org/pdf/2406.14657v3
Learning to Love Edge Cases in Formative Math Assessment: Using the AMMORE Dataset and Chain-of-Thought Prompting to Improve Grading Accuracy

Owen Henkel, Hannah Horne-Robinson, Maria Dyshel, Nabil Ch, Baptiste Moreau-Pernet, Ralph Abood. (09/2024). arXiv. http://arxiv.org/pdf/2409.17904v1
Using Large Multimodal Models to Extract Knowledge Components for Knowledge Tracing from Multimedia Question Information

Hyeongdon Moon, Richard Davis, Seyed Parsa Neshaei, Pierre Dillenbourg. (09/2024). arXiv. http://arxiv.org/pdf/2409.20167v1
Computational Language Analysis Reveals that Process-Oriented Thinking About Belonging Aids the College Transition

Dorottya Demszky, C. Lee Williams, Shannon T. Brady, Shashanka Subrahmanya, Eric Gaudiello, Gregory M. Walton, Johannes C. Eichstaedt. (09/2024). EdWorkingPapers. https://edworkingpapers.com/sites/default/files/ai24-1033.pdf
Dr.Academy: A Benchmark for Evaluating Questioning Capability in Education for Large Language Models

Yuyan Chen, Chenwei Wu, Songzhou Yan, Panjun Liu, Haoyu Zhou, Yanghua Xiao. (08/2024). arXiv. http://arxiv.org/pdf/2408.10947v1
Generative Language Models With Retrieval Augmented Generation for Automated Short Answer Scoring

Zifan Wang, Christopher Ormerod. (08/2024). arXiv. http://arxiv.org/pdf/2408.03811v1
Explainable Artificial Intelligence for Quantifying Interfering and High-Risk Behaviors in Autism Spectrum Disorder in a Real-World Classroom Environment Using Privacy-Preserving Video Analysis

Barun Das, Conor Anderson, Tania Villavicencio, Johanna Lantz, Jenny Foster, Theresa Hamlin, Ali Bahrami Rad, Gari D. Clifford, Hyeokhyen Kwon. (07/2024). arXiv. http://arxiv.org/pdf/2407.21691v1
Stepwise Verification and Remediation of Student Reasoning Errors with Large Language Model Tutors

Nico Daheim, Jakub Macina, Manu Kapur, Iryna Gurevych, Mrinmaya Sachan. (07/2024). arXiv. http://arxiv.org/pdf/2407.09136v1
COMET : "Cone of experience‚Äù enhanced large multimodal model for mathematical problem generation

Sannyuya Liu, Jintian Feng, Zongkai Yang, Yawei Luo, Qian Wan, Xiaoxuan Shen, Jianwen Sun. (07/2024). arXiv. http://arxiv.org/pdf/2407.11315v1
Building a Domain-specific Guardrail Model in Production

Mohammad Niknazar, Paul V Haley, Latha Ramanan, Sang Truong, Yedendra Shrinivasan, Ayan Kumar Bhowmick, Prasenjit Dey, Ashish Jagmohan, Hema Maheshwari, Shom Ponoth, Robert Smith, Aditya Vempaty, Nick Haber, Sanmi Koyejo, Sharad Sundararajan. (07/2024). arXiv. http://arxiv.org/pdf/2408.01452v1
Knowledge Distillation of LLMs for Automatic Scoring of Science Assessments

Ehsan Latif, Luyang Fang, Ping Ma, Xiaoming Zhai. (06/2024). arXiv. http://arxiv.org/pdf/2312.15842v3
Ink and Algorithm: Exploring Temporal Dynamics in Human-AI Collaborative Writing

Kaixun Yang, Yixin Cheng, Linxuan Zhao, Mladen Raković, Zachari Swiecki, Dragan Gašević, Guanliang Chen. (06/2024). arXiv. http://arxiv.org/pdf/2406.14885v1
What Conversational AI Can (and Can't) Tell Us About Peer Interaction in Higher Education

Vanessa Peters, Emily Pressler, Julie Neisler, Barbara Means. (06/2024). ISLS Repository. https://repository.isls.org/handle/1/11077
How Effective is GPT-4 Turbo in Generating School-Level Questions from Textbooks Based on Bloom's Revised Taxonomy?

Subhankar Maity, Aniket Deroy, Sudeshna Sarkar. (06/2024). arXiv. http://arxiv.org/pdf/2406.15211v1
How Can I Get It Right? Using GPT to Rephrase Incorrect Trainee Responses

Jionghao Lin, Zifei Han, Danielle R. Thomas, Ashish Gurung, Shivang Gupta, Vincent Aleven, Kenneth R. Koedinger. (05/2024). arXiv. http://arxiv.org/pdf/2405.00970v1
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
Large Language Models for In-Context Student Modeling: Synthesizing Student's Behavior in Visual Programming

Manh Hung Nguyen, Sebastian Tschiatschek, Adish Singla. (05/2024). arXiv. http://arxiv.org/pdf/2310.10690v3
LLMs can Find Mathematical Reasoning Mistakes by Pedagogical Chain-of-Thought

Zhuoxuan Jiang, Haoyuan Peng, Shanshan Feng, Fan Li, Dongsheng Li. (05/2024). arXiv. http://arxiv.org/pdf/2405.06705v1
Can Large Language Models Make the Grade? An Empirical Study Evaluating LLMs Ability to Mark Short Answer Questions in K-12 Education

Owen Henkel, Libby Hills, Adam Boxer, Bill Roberts, Zachary Levonian. (05/2024). ACM Digital Library. https://dl.acm.org/doi/pdf/10.1145/3657604.3664693
Capabilities of Gemini Models in Medicine

Khaled Saab, Tao Tu, Wei-Hung Weng, Ryutaro Tanno, David Stutz, Ellery Wulczyn, Fan Zhang, Tim Strother, Chunjong Park, Elahe Vedadi, Juanma Zambrano Chaves, Szu-Yeu Hu, Mike Schaekermann, Aishwarya Kamath, Yong Cheng, David G.T. Barrett, Cathy Cheung, Basil Mustafa, Anil Palepu, Daniel McDuff, Le Hou, Tomer Golany, Luyang Liu, Jean-baptiste Alayrac, Neil Houlsby, Nenad Tomasev, Jan Freyberg, Charles Lau, Jonas Kemp, Jeremy Lai, Shekoofeh Azizi, Kimberly Kanada, SiWai Man, Kavita Kulkarni, Ruoxi Sun, Siamak Shakeri, Luheng He, Ben Caine, Albert Webson, Natasha Latysheva, Melvin Johnson, Philip Mansfield, Jian Lu, Ehud Rivlin, Jesper Anderson, Bradley Green, Renee Wong, Jonathan Krause, Jonathon Shlens, Ewa Dominowska, S. M. Ali Eslami, Katherine Chou, Claire Cui, Oriol Vinyals, Koray Kavukcuoglu, James Manyika, Jeff Dean, Demis Hassabis, Yossi Matias, Dale Webster, Joelle Barral, Greg Corrado, Christopher Semturs, S. Sara Mahdavi, Juraj Gottweis, Alan Karthikesalingam, Vivek Natarajan. (05/2024). arXiv. http://arxiv.org/pdf/2404.18416v2
Evaluating and Optimizing Educational Content with Large Language Model Judgments

Joy He-Yueya, Noah Goodman, Emma Brunskill. (05/2024). arXiv. http://arxiv.org/pdf/2403.02795v2
Can Autograding of Student-Generated Questions Quality by ChatGPT Match Human Experts?

Kangkang Li, Qian Yang, Xianmin Yang. (04/2024). IEEE. https://ieeexplore.ieee.org/document/10510637
Clue-Instruct: Text-Based Clue Generation for Educational Crossword Puzzles

Andrea Zugarini, Kamyar Zeinalipour, Surya Sai Kadali, Marco Maggini, Marco Gori, Leonardo Rigutini. (04/2024). arXiv. http://arxiv.org/pdf/2404.06186v1
Using Generative Text Models to Create Qualitative Codebooks for Student Evaluations of Teaching

Andrew Katz, Mitch Gerhardt, Michelle Soledad. (03/2024). arXiv. http://arxiv.org/pdf/2403.11984v1
Large Language Models As MOOCs Graders

Shahriar Golchin, Nikhil Garuda, Christopher Impey, Matthew Wenger. (03/2024). arXiv. http://arxiv.org/pdf/2402.03776v4
Enhancing Instructional Quality: Leveraging Computer-Assisted Textual Analysis to Generate In-Depth Insights from Educational Artifacts

Zewei Tian, Min Sun, Alex Liu, Shawon Sarkar, Jing Liu. (03/2024). arXiv. http://arxiv.org/pdf/2403.03920v1
Edu-ConvoKit An Open-Source Library for Education Conversation Data

Rose Wang, Dorottya Demszky. (02/2024). arXiv. http://arxiv.org/pdf/2402.05111v1
Applying Large Language Models and Chain-of-Thought for Automatic Scoring

Gyeong-Geon Lee, Ehsan Latif, Xuansheng Wu, Ninghao Liu, Xiaoming Zhai. (02/2024). arXiv. http://arxiv.org/pdf/2312.03748v2
Deciphering Stereotypes in Pre-Trained Language Models

Weicheng Ma, Henry Scheible, Brian Wang, Goutham Veeramachaneni, Pratim Chowdhary, Alan Sun, Andrew Koulogeorge, Lili Wang, Diyi Yang, Soroush Vosoughi. (12/2023). ACL Anthology. https://aclanthology.org/2023.emnlp-main.697/