The First Workshop on Large Foundation Models for Educational Assessment

Sheng Li, Dongliang Guo, Daiqing Qi, Zhongmin Cui, Jiasen Lu, Deborah Harris, Shumin Jing; Proceedings of Large Foundation Models for Educational Assessment, PMLR 264:1-2

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MIRROR: A Novel Approach for the Automated Evaluation of Open-Ended Question Generation

Aniket Deroy, Subhankar Maity, Sudeshna Sarkar; Proceedings of Large Foundation Models for Educational Assessment, PMLR 264:3-32

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Gemini Pro Defeated by GPT-4V: Evidence from Education

Gyeonggeon Lee, Lehong Shi, Ehsan Latif, Xiaoming Zhai; Proceedings of Large Foundation Models for Educational Assessment, PMLR 264:33-60

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Automatic Generation of Question Hints for Mathematics Problems using Large Language Models in Educational Technology

Junior Cedric Tonga, Benjamin Clement, Pierre-Yves Oudeyer; Proceedings of Large Foundation Models for Educational Assessment, PMLR 264:61-102

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Automated Feedback Generation for Open-Ended Questions: Insights from Fine-Tuned LLMs

Elisabetta Mazzullo, Okan Bulut; Proceedings of Large Foundation Models for Educational Assessment, PMLR 264:103-120

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BanditCAT and AutoIRT: Machine Learning Approaches to Computerized Adaptive Testing and Item Calibration

James Sharpnack, Kevin Hao, Phoebe Mulcaire, Klinton Bicknell, Geoff LaFlair, Kevin Yancey, Alina A. von Davier; Proceedings of Large Foundation Models for Educational Assessment, PMLR 264:121-135

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VISTA: Visual Integrated System for Tailored Automation in Math Problem Generation Using LLM

Jeongwoo Lee, Kwangsuk Park, Jihyeon Park; Proceedings of Large Foundation Models for Educational Assessment, PMLR 264:136-156

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Enhancing Non-Cognitive Assessments with GPT: Innovations in Item Generation and Translation for the University Belonging Questionnaire

Mingfeng Xue, Yunting Liu, HuaXia Xiong; Proceedings of Large Foundation Models for Educational Assessment, PMLR 264:157-172

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A Large Foundation Model for Assessing Spatially Distributed Personality Traits

Avi Bleiweiss; Proceedings of Large Foundation Models for Educational Assessment, PMLR 264:173-185

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Towards Scalable Automated Grading: Leveraging Large Language Models for Conceptual Question Evaluation in Engineering

Rujun Gao, Xiaosu Guo, Xiaodi Li, Arun Balajiee Lekshmi Narayanan, Naveen Thomas, Arun R. Srinivasa; Proceedings of Large Foundation Models for Educational Assessment, PMLR 264:186-206

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Leveraging Grounded Large Language Models to Automate Educational Presentation Generation

Eric Xie, Guangzhi Xiong, Haolin Yang, Olivia Coleman, Michael Kennedy, Aidong Zhang; Proceedings of Large Foundation Models for Educational Assessment, PMLR 264:207-220

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