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Improving Primary School Students' Oral Reading Fluency Through Voice Chatbot‐Based AI.

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Title: Improving Primary School Students' Oral Reading Fluency Through Voice Chatbot‐Based AI.
Authors: Elmaadaway, Mohamed Ali Nagy, El‐Naggar, Mohamed Elsayed, Abouhashesh, Mohamed Radwan Ibrahim
Source: Journal of Computer Assisted Learning. Apr2025, Vol. 41 Issue 2, p1-15. 15p.
Subjects: Reading disability, Elementary schools, Research funding, Conversation, T-test (Statistics), Artificial intelligence, Educational outcomes, Interviewing, Listening, Descriptive statistics, Analysis of covariance, Control groups, Pre-tests & post-tests, Thematic analysis, Research methodology, Comparative studies, Machine learning, Chatbots, Computer assisted testing (Education), Children
Abstract: Background: Artificial intelligence (AI) made substantial progress with language recognition. Proficiency in spoken English reading is a prerequisite for fluency in written English. However, research on its use, especially for non‐native speakers, is lacking despite increased usage. Objectives: This study aimed to enhance the oral reading fluency abilities of fourth graders using the AI voice chatbot 'Alexa', the purpose being to examine the effects of Alexa on fourth graders' oral reading fluency skills. Methods: Ninety students were evenly divided into experimental and control groups. We developed, reviewed and administered pre‐ and post‐tests and interviews. Results and Conclusion: Students' reading comprehension and oral reading fluency are enhanced when they use Alexa in the classroom. Many students turn to Alexa to help them with reading and English grammar. This study offers suggestions for future research. [ABSTRACT FROM AUTHOR]
Copyright of Journal of Computer Assisted Learning is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Psychology and Behavioral Sciences Collection
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  Data: Improving Primary School Students' Oral Reading Fluency Through Voice Chatbot‐Based AI.
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  Data: <searchLink fieldCode="AR" term="%22Elmaadaway%2C+Mohamed+Ali+Nagy%22">Elmaadaway, Mohamed Ali Nagy</searchLink><br /><searchLink fieldCode="AR" term="%22El‐Naggar%2C+Mohamed+Elsayed%22">El‐Naggar, Mohamed Elsayed</searchLink><br /><searchLink fieldCode="AR" term="%22Abouhashesh%2C+Mohamed+Radwan+Ibrahim%22">Abouhashesh, Mohamed Radwan Ibrahim</searchLink>
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  Data: <searchLink fieldCode="JN" term="%22Journal+of+Computer+Assisted+Learning%22">Journal of Computer Assisted Learning</searchLink>. Apr2025, Vol. 41 Issue 2, p1-15. 15p.
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  Data: <searchLink fieldCode="DE" term="%22Reading+disability%22">Reading disability</searchLink><br /><searchLink fieldCode="DE" term="%22Elementary+schools%22">Elementary schools</searchLink><br /><searchLink fieldCode="DE" term="%22Research+funding%22">Research funding</searchLink><br /><searchLink fieldCode="DE" term="%22Conversation%22">Conversation</searchLink><br /><searchLink fieldCode="DE" term="%22T-test+%28Statistics%29%22">T-test (Statistics)</searchLink><br /><searchLink fieldCode="DE" term="%22Artificial+intelligence%22">Artificial intelligence</searchLink><br /><searchLink fieldCode="DE" term="%22Educational+outcomes%22">Educational outcomes</searchLink><br /><searchLink fieldCode="DE" term="%22Interviewing%22">Interviewing</searchLink><br /><searchLink fieldCode="DE" term="%22Listening%22">Listening</searchLink><br /><searchLink fieldCode="DE" term="%22Descriptive+statistics%22">Descriptive statistics</searchLink><br /><searchLink fieldCode="DE" term="%22Analysis+of+covariance%22">Analysis of covariance</searchLink><br /><searchLink fieldCode="DE" term="%22Control+groups%22">Control groups</searchLink><br /><searchLink fieldCode="DE" term="%22Pre-tests+%26+post-tests%22">Pre-tests & post-tests</searchLink><br /><searchLink fieldCode="DE" term="%22Thematic+analysis%22">Thematic analysis</searchLink><br /><searchLink fieldCode="DE" term="%22Research+methodology%22">Research methodology</searchLink><br /><searchLink fieldCode="DE" term="%22Comparative+studies%22">Comparative studies</searchLink><br /><searchLink fieldCode="DE" term="%22Machine+learning%22">Machine learning</searchLink><br /><searchLink fieldCode="DE" term="%22Chatbots%22">Chatbots</searchLink><br /><searchLink fieldCode="DE" term="%22Computer+assisted+testing+%28Education%29%22">Computer assisted testing (Education)</searchLink><br /><searchLink fieldCode="DE" term="%22Children%22">Children</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: Background: Artificial intelligence (AI) made substantial progress with language recognition. Proficiency in spoken English reading is a prerequisite for fluency in written English. However, research on its use, especially for non‐native speakers, is lacking despite increased usage. Objectives: This study aimed to enhance the oral reading fluency abilities of fourth graders using the AI voice chatbot 'Alexa', the purpose being to examine the effects of Alexa on fourth graders' oral reading fluency skills. Methods: Ninety students were evenly divided into experimental and control groups. We developed, reviewed and administered pre‐ and post‐tests and interviews. Results and Conclusion: Students' reading comprehension and oral reading fluency are enhanced when they use Alexa in the classroom. Many students turn to Alexa to help them with reading and English grammar. This study offers suggestions for future research. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
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  Data: <i>Copyright of Journal of Computer Assisted Learning is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=pbh&AN=184016317
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      – Type: doi
        Value: 10.1111/jcal.70019
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      – Code: eng
        Text: English
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        PageCount: 15
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    Subjects:
      – SubjectFull: Reading disability
        Type: general
      – SubjectFull: Elementary schools
        Type: general
      – SubjectFull: Research funding
        Type: general
      – SubjectFull: Conversation
        Type: general
      – SubjectFull: T-test (Statistics)
        Type: general
      – SubjectFull: Artificial intelligence
        Type: general
      – SubjectFull: Educational outcomes
        Type: general
      – SubjectFull: Interviewing
        Type: general
      – SubjectFull: Listening
        Type: general
      – SubjectFull: Descriptive statistics
        Type: general
      – SubjectFull: Analysis of covariance
        Type: general
      – SubjectFull: Control groups
        Type: general
      – SubjectFull: Pre-tests & post-tests
        Type: general
      – SubjectFull: Thematic analysis
        Type: general
      – SubjectFull: Research methodology
        Type: general
      – SubjectFull: Comparative studies
        Type: general
      – SubjectFull: Machine learning
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      – SubjectFull: Chatbots
        Type: general
      – SubjectFull: Computer assisted testing (Education)
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      – SubjectFull: Children
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      – TitleFull: Improving Primary School Students' Oral Reading Fluency Through Voice Chatbot‐Based AI.
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            NameFull: Elmaadaway, Mohamed Ali Nagy
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            NameFull: El‐Naggar, Mohamed Elsayed
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            NameFull: Abouhashesh, Mohamed Radwan Ibrahim
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            – D: 01
              M: 04
              Text: Apr2025
              Type: published
              Y: 2025
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              Value: 41
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            – TitleFull: Journal of Computer Assisted Learning
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