Artificial Intelligence Approach to Classifying Oral Reading Fluency Performances

• In Event: Applications of AI II

Abstract

This study aims to identify meaningful classes for individuals with similar oral reading fluency scores by combining clustering and neural network methods. We analyze an empirical dataset to demonstrate how this approach can provide a clearer picture of the student's ORF level by understanding the characteristics of their group.

Authors

• Gozde Sirganci, Southern Methodist Universit

• Sarunya Somsong, Srinakharinwirot University & Southern Methodist University

• Akihito Kamata, SOUTHERN METHODIST UNIVERSITY