Analysis of the Application of the Cooperative Integrated Reading Composition (CIRC) Model in Improving Reading Comprehension Learning Outcomes for Grade 5 Elementary School Students

Abstract

This study aimed to analyze the effectiveness of the Cooperative Integrated Reading Composition (CIRC) model in improving reading comprehension learning outcomes for grade 5 elementary school students. A qualitative library research approach was employed, involving a systematic collection, analysis, and synthesis of relevant literature from peer-reviewed journal articles, research reports, and academic publications. The data collection process involved comprehensive searches in electronic databases and manual reference checking, followed by a rigorous screening and selection process based on predetermined inclusion and exclusion criteria. The selected literature was then analyzed using a coding and thematic analysis approach to identify recurrent themes, patterns, and insights related to the research topic.The analysis revealed compelling evidence supporting the effectiveness of the CIRC model in enhancing reading comprehension outcomes for elementary school students, including those in grade 5. Numerous studies consistently demonstrated statistically significant gains in reading comprehension scores among students who participated in CIRC-based interventions compared to those who received traditional instruction. Additionally, the CIRC model positively influenced student engagement and motivation toward reading. However, the analysis also identified challenges and facilitating factors that influence successful implementation, such as the need for comprehensive teacher training, resource allocation, and a supportive school culture.The findings have significant implications for educational practice and policymaking, suggesting the potential for wider adoption and integration of the CIRC model into elementary school curricula and instructional strategies. Future research should explore the long-term impacts, application in diverse settings, and investigate specific components contributing to the model's effectiveness to inform further refinements and adaptations.