Fuzzy Delphi method for project approach module in early science for children

This study focuses on designing a project-based learning module for early science education for home-based learning. The module comprises four dimensions: plants, planets, magnets and robotics, and weather. Using a quantitative approach and the design and development research (DDR) method, 15 early childhood education (ECE) experts were surveyed through a questionnaire with 20 items on a seven-point Likert scale. The Fuzzy Delphi method (FDM) with triangular Fuzzy numbers (TFN) was employed for data analysis, revealing a high level of expert consensus on the essential components of the module. The study achieved over 75% agreement, exceeding the threshold value (d) of 0.2 and α-cut of 0.5. Each dimension received favorable acceptance scores: plants (0.874), magnets and robotics (0.890), planets (0.918), and weather (0.903). The study emphasizes the acceptability of expert opinions on these dimensions, providing a valuable resource for early science education at home. The findings support addressing gaps in contributing to achieving sustainable development goal 4.2 by ensuring access to quality education for children.

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Publication Details

Journal
Journal of Education and Learning (EduLearn)
Published
2025-07-19
DOI
https://doi.org/10.11591/edulearn.v19i4.22652
Citations
1
Primary Topic
Child Development and Digital Technology
Type
article
Field-Weighted Citation Impact
8.93
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article

Fuzzy Delphi method for project approach module in early science for children

Romarzila Omar, Uzzairah Nabila Ahmad Tazli, Norazilawati Abdullah, Nadia Shahira Amiruddin
1 citations
Journal of Education and Learning (EduLearn)
Child Development and Digital Technology
8.93
article

Fuzzy Delphi method for project approach module in early science for children

Romarzila Omar, Uzzairah Nabila Ahmad Tazli, Norazilawati Abdullah, Nadia Shahira Amiruddin
article en
1 citations

Abstract

This study focuses on designing a project-based learning module for early science education for home-based learning. The module comprises four dimensions: plants, planets, magnets and robotics, and weather. Using a quantitative approach and the design and development research (DDR) method, 15 early childhood education (ECE) experts were surveyed through a questionnaire with 20 items on a seven-point Likert scale. The Fuzzy Delphi method (FDM) with triangular Fuzzy numbers (TFN) was employed for data analysis, revealing a high level of expert consensus on the essential components of the module. The study achieved over 75% agreement, exceeding the threshold value (d) of 0.2 and α-cut of 0.5. Each dimension received favorable acceptance scores: plants (0.874), magnets and robotics (0.890), planets (0.918), and weather (0.903). The study emphasizes the acceptability of expert opinions on these dimensions, providing a valuable resource for early science education at home. The findings support addressing gaps in contributing to achieving sustainable development goal 4.2 by ensuring access to quality education for children.

Journal of Education and Learning (EduLearn)Vol. 19(4)
Sultan Idris Education University (MY)
Quality Education
Openalex Percentile: Top 3%
Child Development and Digital Technology
8.93
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