INTEGRATING AI-BASED SPEECH RECOGNITION TECHNOLOGY TO ENHANCE READING ASSESSMENTS WITHIN MOROCCO'S TaRL PROGRAM.

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Title: INTEGRATING AI-BASED SPEECH RECOGNITION TECHNOLOGY TO ENHANCE READING ASSESSMENTS WITHIN MOROCCO'S TaRL PROGRAM.
Authors: BACHIRI, Younes-Aziz1 younes-aziz.bachiri@usms.ma, MOUNCIF, Hicham2 h.mouncif@usms.ma, BOUIKHALENE, Belaid3 b.bouikhalene@usms.ma, HAMZAOUI, Radoine2 radoine.hamzaoui@usms.ac.ma
Source: Turkish Online Journal of Distance Education (TOJDE). Oct2024, Vol. 25 Issue 4, p1-16. 16p.
Subject Terms: *Artificial intelligence, *Speech perception, *Standardized tests, *Digital learning, Automatic speech recognition, Speech
Abstract: This study examined the integration of artificial intelligence-powered speech recognition technology within early reading assessments in Morocco's Teaching at the Right Level (TaRL) program. The purpose was to evaluate the effectiveness of an automated speech recognition tool compared to traditional paperbased assessments in improving reading skills among 100 Moroccan first to third-graders. The mixedmethod approach combined pre-post standardized reading tests with qualitative feedback. Results showed students receiving the AI-enabled speech recognition assessments demonstrated significant gains in reading achievement compared to peers assessed via traditional methods. Qualitative findings revealed benefits of instant feedback and enhanced engagement provided by the speech recognition tool. This study contributes timely empirical evidence on adopting learning technologies, specifically AI-driven automated speech assessment instruments, to enhance foundational literacy development within under-resourced education systems implementing student-centered pedagogical techniques like TaRL. It provides valuable insights and guidance for integrating innovative speech analysis tools within localized teaching and learning frameworks to strengthen early reading instruction and monitoring. [ABSTRACT FROM AUTHOR]
Copyright of Turkish Online Journal of Distance Education (TOJDE) is the property of Turkish Online Journal of Distance Education 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: Education Research Complete
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  Data: INTEGRATING AI-BASED SPEECH RECOGNITION TECHNOLOGY TO ENHANCE READING ASSESSMENTS WITHIN MOROCCO'S TaRL PROGRAM.
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  Data: <searchLink fieldCode="JN" term="%22Turkish+Online+Journal+of+Distance+Education+%28TOJDE%29%22">Turkish Online Journal of Distance Education (TOJDE)</searchLink>. Oct2024, Vol. 25 Issue 4, p1-16. 16p.
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  Data: This study examined the integration of artificial intelligence-powered speech recognition technology within early reading assessments in Morocco's Teaching at the Right Level (TaRL) program. The purpose was to evaluate the effectiveness of an automated speech recognition tool compared to traditional paperbased assessments in improving reading skills among 100 Moroccan first to third-graders. The mixedmethod approach combined pre-post standardized reading tests with qualitative feedback. Results showed students receiving the AI-enabled speech recognition assessments demonstrated significant gains in reading achievement compared to peers assessed via traditional methods. Qualitative findings revealed benefits of instant feedback and enhanced engagement provided by the speech recognition tool. This study contributes timely empirical evidence on adopting learning technologies, specifically AI-driven automated speech assessment instruments, to enhance foundational literacy development within under-resourced education systems implementing student-centered pedagogical techniques like TaRL. It provides valuable insights and guidance for integrating innovative speech analysis tools within localized teaching and learning frameworks to strengthen early reading instruction and monitoring. [ABSTRACT FROM AUTHOR]
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  Data: <i>Copyright of Turkish Online Journal of Distance Education (TOJDE) is the property of Turkish Online Journal of Distance Education 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.)
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        Value: 10.17718/tojde.1335062
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        Text: English
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      – SubjectFull: Standardized tests
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      – SubjectFull: Automatic speech recognition
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      – TitleFull: INTEGRATING AI-BASED SPEECH RECOGNITION TECHNOLOGY TO ENHANCE READING ASSESSMENTS WITHIN MOROCCO'S TaRL PROGRAM.
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              M: 10
              Text: Oct2024
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              Y: 2024
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