Can Artificial Intelligence Identify Reading Fluency and Level? Comparison of Human and Machine Performance-Reference-Cited by-同舟云学术

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Can Artificial Intelligence Identify Reading Fluency and Level? Comparison of Human and Machine Performance

Published:2024-04-30 Issue: Volume: Page:1-18
ISSN:1057-3569
Container-title:Reading & Writing Quarterly
language:en
Short-container-title:Reading & Writing Quarterly

Author:

Yıldız Mustafa¹^ORCID,Keskin Hasan Kağan²^ORCID,Oyucu Saadin³^ORCID,Hartman Douglas K.⁴^ORCID,Temur Murat⁵^ORCID,Aydoğmuş Mücahit⁶^ORCID

Affiliation:

1. Gazi University, Ankara, Türkiye

2. Düzce University, Düzce, Türkiye

3. Adıyaman University, Adıyaman, Türkiye

4. Michigan State University, East Lansing, MI, USA

5. Nevşehir Hacı Bektaş Veli University, Nevşehir, Türkiye

6. Ondokuz Mayıs University, Samsun, Türkiye

Publisher

Informa UK Limited

Link

https://www.tandfonline.com/doi/pdf/10.1080/10573569.2024.2345593

Reference52 articles.

1. The Relationship of Error Rate and Comprehension in Second and Third Grade Oral Reading Fluency

2. Akyol, H. (2016). Programa uygun Türkçe öğretim yöntemleri. Pegem Akademi.

3. Word Error Rate Estimation for Speech Recognition: e-WER

4. Altun Alkan, H., & Çetinkaya, G. (2021). Okuma çıraklığı yaklaşımı. In İ. S. Aydın & Ö. Yahşi (Eds.), PISA ve okuma kültürü (pp. 63–84). Nobel.

5. The Push for More Challenging Texts: An Analysis of Early Readers’ Rate, Accuracy, and Comprehension

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