Implementation of Anticipation Guides Reading Strategy Integrated with Generative AI (Gen-AI) to Improve Mathematical Literacy of PGSD Students

Nabella Alani; Eko Fajar Suryaningrat; Muhammad Irsyad

doi:10.17509/md.v21i2.91210

Implementation of Anticipation Guides Reading Strategy Integrated with Generative AI (Gen-AI) to Improve Mathematical Literacy of PGSD Students

Nabella Alani, Eko Fajar Suryaningrat, Muhammad Irsyad

Abstract

This study examines how implementing the Anticipation Guides reading strategy, integrated with Generative AI (GenAI) technology, affects the mathematical literacy skills of Elementary School Teacher Education (PGSD) students. The research uses a quasi-experimental design with a pretest-posttest control group, involving two groups: the experimental group using the integrated strategy and the control group using alternative teaching methods. The sample consists of 50 PGSD students, with 25 in each group. Data were collected through a mathematics literacy test. The results indicate that the Anticipation Guides reading strategy, when integrated with Generative AI (GenAI), significantly influences the mathematical literacy skills of PGSD students, as evidenced by a significance value (sig) < 0.05. This research contributes significantly to the development of knowledge in education, particularly by enhancing the effectiveness of mathematics instruction through innovative technologies that enrich students' learning experiences and deepen their understanding of mathematical concepts.

Keywords

Anticipation guides reading strategy; generative AI (GenAI); mathematical literacy

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References

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DOI: https://doi.org/10.17509/md.v21i2.91210

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