The Effectiveness of a Differentiated Learning Model Based on Identification, Reflection and Improvement to Improve the Reading Ability of Early Grade Students in Elementary School
Journal Title: International Journal of Current Science Research and Review - Year 2025, Vol 8, Issue 03
Abstract
This study investigates the effectiveness of a differentiated learning model based on identification, reflection and improvement to improve the reading ability of early grade students in elementary school. Using a quasi-experimental design involving 5 elementary schools. The findings of the study showed that there was a significant difference in the improvement of reading ability of early grade students between the experimental class and the control class. The differentiated learning model based on identification, reflection and improvement has high effectiveness in improving the reading ability of early grade students. This means that the differentiated learning model based on identification, reflection and improvement has a positive impact and allows teachers to identify student needs at the beginning of learning, then teachers reflect on the learning process and results carried out, then make improvements (improve) to the learning strategy, especially adjusted to the student’s learning readiness. The results of this study reveal that the differentiated learning model based on identification, reflection and improvement is effective in improving the reading ability of early grade students, so that it can be a solution to overcome the difficulty or low ability of students in reading and recommends to develop a more effective and innovative learning model in the early grade.
Authors and Affiliations
Nurdin . , Patta Bundu, Kamaruddin Hasan,
Keywords
Related Articles
- EP ID EP760031
- DOI 10.47191/ijcsrr/V8-i3-04
- Views 23
- Downloads 0
Optimizing AI-Integrated Creative Process in Advertising Industry through KBPMS Approach
Background – The demand for content across various rising digital media platforms pushes the advertising secotr to adopt Artificial Intelligence (AI) automation to improve creativity, speed, and efficiency, especially in...
Grid Search Optimized Machine Learning based Modeling of CO2 Emissions Prediction from Cars for Sustainable Environment
Carbon emissions have increased dramatically because of industrialization, trapping heat in the atmosphere and hastening climate change. This is a serious threat to the wealth, security, and well-being of the world. The...
Optimizing AI Model Inference on Serverless Cloud Platforms: A Scalable Approach
The increasing prevalence of Artificial Intelligence (AI) and Machine Learning (ML) models across various industries has highlighted the critical need for efficient and scalable deployment strategies. Traditional deploym...
A Sociodemographic Assessment of Infant Malnutrition in Rural Area, Bangladesh: Logistic Regression Approach
This study investigates the association between socio-demographic factors and infant child (0-1 year) malnutrition defined by underweight, stunting and wasting, in rural areas, Bangladesh. Survey data, Multiple Indicator...
The Influence of Augmented Reality on Purchase Intentions through Consumers of Madame Gie Products
Beauty products are needed by every individual, with various types of products offered, including quality, price, brand, and packaging. Therefore, the Purchase intentions of beauty products are very diverse. Madame Gie i...