JOURNAL ARTICLE

Improving Reading Skills and Achievement Motivation of Nigerian Primary School Students Using Cognitive Behavioral Therapy.

  • Published In: Journal of Asian & African Studies (Sage Publications, Ltd.), 2025, v. 60, n. 6. P. 3638 1 of 3

  • Database: Academic Search Ultimate 2 of 3

  • Authored By: Onuorah, Adaorah R.; Aneke, Anthonia Olunwa; Eseadi, Chiedu 3 of 3

Abstract

This article investigates the effectiveness of cognitive behavioral therapy (CBT) in improving reading skills and achievement motivation among 70 primary school students with reading difficulties in Southeast Nigeria. Using a randomized controlled trial with pre-test, post-test, and follow-up assessments, the study found that students receiving CBT showed significant and sustained improvements in reading abilities—including pronunciation, fluency, and comprehension—and in their motivation to achieve academically, compared to a control group receiving standard instruction. The intervention involved structured CBT techniques delivered by trained psychologists and teachers over eight sessions, emphasizing cognitive restructuring and behavioral strategies tailored to reading challenges. The findings suggest that CBT can be a valuable therapeutic approach integrated into primary education to support students facing reading difficulties and low achievement motivation, with implications for educators, therapists, and policymakers in similar educational contexts.

Additional Information

  • Source:Journal of Asian & African Studies (Sage Publications, Ltd.). 2025/09, Vol. 60, Issue 6, p3638
  • Document Type:Article
  • Subject Area:Psychology
  • Publication Date:2025
  • ISSN:0021-9096
  • DOI:10.1177/00219096241235299
  • Accession Number:187437951
  • Copyright Statement:Copyright of Journal of Asian & African Studies (Sage Publications, Ltd.) is the property of Sage Publications Inc. 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.)

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