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Jurnal Elementaria Edukasia
Published by Universitas Majalengka
ISSN : 26154625     EISSN : 26550857     DOI : https://doi.org/10.31949/jee
Core Subject : Education,
Education Other
Jurnal of Elementaria Edukasia (JEE), mainly focuses on major issues in Teaching in Elementary School, Assessment in Elementary School, Learning Media in Elementary School, Development subject of Elementary School, and Management of Elementary School. This Journal received All topics about the results of studies and research of lecturers, students, teachers, practitioners and scientists in the field of elementary education. For the research category, articles can be written using quantitative and qualitative approaches and can be made in a variety of research designs, such as action research, experiments, and case studies. JEE welcomes original empirical investigations. The papers may represent a variety of theoretical perspectives and different methodological approaches. The major criteria in the review and the selection process concern the significance of the contribution to the area of elementary education.
Arjuna Subject : Ilmu Sosial - Pendidikan
Articles 1 Documents
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Search results for , issue "vol. 8 no. 3 (2025): september" : 1 Documents clear
Anticipation Guides with GenAI to Improve Text Understanding and Math Literacy in PGSD Students Eko Fajar Suryaningrat; Nebella Alani; Abdul Hakim
Jurnal Elementaria Edukasia Vol. 8 No. 3 (2025): September
Publisher : Elementary Teacher Education Program, Majalengka University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31949/jee.v8i3.15283

Abstract

The ability to comprehend texts and mathematical literacy are crucial competencies for future elementary school teachers. However, research shows that students in the Elementary School Teacher Education (PGSD) program often struggle with interpreting texts and solving mathematical problems, indicating low levels of disciplinary literacy. This study aims to examine the implementation and effectiveness of the Anticipation Guides reading strategy integrated with Generative Artificial Intelligence (GenAI) in improving students’ text comprehension and mathematical literacy. A quasi-experimental design with a nonequivalent control group was used, involving 50 PGSD students divided into experimental and control groups. The experimental group received instruction using Anticipation Guides integrated with GenAI, while the control group received conventional instruction. Data were collected through pretest and posttest instruments measuring both competencies and analyzed using Independent Sample t-tests and MANOVA. The results showed that the experimental group achieved significantly higher N-gain scores in text comprehension (0.65) and mathematical literacy (0.60) compared to the control group. The statistical analysis indicated a significant effect (p < 0.001) with large effect sizes and a multivariate impact based on Wilks' Lambda (Λ = 0.291, F(2,46) = 55.93). These findings suggest that integrating Anticipation Guides with GenAI provides effective scaffolding and fosters higher-order thinking skills. The strategy enhances student engagement, supports personalized learning, and strengthens cross-disciplinary literacy. Therefore, this approach offers a relevant and innovative solution for improving essential literacies among teacher education students in the digital era. Keywords: Anticipation Guides; Generative AI; text comprehension; mathematical literacy; PGSD students

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