RMME/STAT Joint Colloquium

Applications of Artificial Intelligence and Natural Language Processing in Educational Measurement

Dr. Matthias von Davier
Boston College

Friday, April 21, at 11AM ET

https://tinyurl.com/rmme-vonDavier

This talk will provide an overview of the applications of Artificial Intelligence (AI) and Natural Language Processing (NLP) in educational measurement, focusing on automated item generation, automated scoring, and test assembly in multilingual assessments. We will discuss the potential benefits of AI and NLP for educational measurement, including increased efficiency, improved accuracy and reliability of assessment, and increased access to assessment technology for low-resource languages. We will examine the current state of the technology, including challenges associated with developing and deploying AI and NLP-based educational assessment systems. We will also discuss future directions for research and development in this area, including the development of methods for assessing and validating AI- and NLP-based systems and the potential for AI and NLP to improve assessment fairness and reduce assessment bias.

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Register today for the 2023 Modern Modeling Methods Conference. Early-bird conference registration ends May 31!

2023 Modern Modeling Methods (M3) Conference
Dates: June 26 – June 28, 2023
Location: University of Connecticut’s Main Campus in Storrs, CT
Description: The Modern Modeling Methods (M3) Conference is an interdisciplinary conference designed to showcase the latest modeling methods and to present research related to these methodologies. Planned events include:

• Monday, June 26: Full-day preconference workshop by Bengt Muthén, Tihomir Asparouhov, and Ellen Hamaker–“New Features in Mplus Version 8.9 and Forthcoming 8.10”
• Tuesday (June 27) & Wednesday (June 28): Keynote presentations by Bengt Muthén and Ellen Hamaker; Talks by Tihomir Asparouhov, Jay Magidson, Daniel McNeish, David A. Kenny, and many others.

See the M3 Preliminary Program for a full list of talks.

Visit our website: modeling.uconn.edu.

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