Predicting Oral Reading Fluency Scores by Silence Time with Natural Language Processing

• In Event: Advances in Language Assessment

Abstract

This study investigates evidence for meaningful pauses that are believed to be made by fluent readers in the context of oral reading fluency (ORF) assessments. We derive various text features from passages read by students and use relative silence times related to these features as predictors of ORF scores.

Authors

• Yusuf Kara, Southern Methodist University

• Akihito Kamata, SOUTHERN METHODIST UNIVERSITY

• Emrah Emre Ozkeskin, Heilbronn University, Germany

• xin qiao, Southern Methodist University