Jelita Ananda, Lala
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PENGARUH MODEL PEMBELAJARAN ROTATING TRIO EXCHANGE TERHADAP HASIL BELAJAR IPAS SISWA KELAS V SD NEGERI 101775 SAMPALI T.A. 2025/2026 Vilya Ramadhani, Ade; Nurmayani; Jelita Ananda, Lala; Winara; Parluhutan Tambunan , Husna
Didaktik : Jurnal Ilmiah PGSD STKIP Subang Vol. 12 No. 01 (2026): Volume 12 No. 01, Maret 2026 Release
Publisher : STKIP Subang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36989/didaktik.v12i01.12248

Abstract

This study aims to determine the effect of the use of the Rotating Trio Exchange learning model on the learning outcomes of grade V students of SD Negeri 101775 Sampali in the 2025/2026 academic year. This study uses a quantitative approach with a Quasi Experimental Design in the form of a Nonequivalent Control Group Design in the even semester. The research sample consisted of 58 students, consisting of 29 students of class V-A as the experimental class and 29 students of class V-B as the control class. Data collection techniques used interviews, observations, learning outcome tests, and documentation. Data analysis used analysis prerequisite tests, which included normality tests and homogeneity tests, as well as hypothesis testing. The results showed that the pre-test and post-test data in the experimental class and the control class were normally distributed based on the Shapiro-Wilk test with a significance value of > 0.05 and had homogeneous variance based on the Levene test with a significance value of 0.379 (> 0.05). The average post-test score of the experimental class was 81.55, higher than the control class of 75.68. The results of the t-test (Independent Sample T-Test) obtained a Sig. (2-tailed) value of 0.019 < 0.05 and the calculated t value > t table (2.426 > 2.003), so that H₀ was rejected and Hₐ was accepted. Thus, the use of the Rotating Trio Exchange learning model has a significant effect on the science learning outcomes of grade V students of SD Negeri 101775 Sampali in the 2025/2026 academic year.
ADOPSI DAN DIFUSI ARTIFICIAL INTELLIGENCE DALAM PENDIDIKAN DASAR: A SYSTEMATIC LITERATURE REVIEW Jelita Ananda, Lala; Yusra Nasution; KMS Muhammad Amin Fauzi; Winara
Pendas : Jurnal Ilmiah Pendidikan Dasar Vol. 11 No. 02 (2026): Volume 11 No. 02, Juni 2026 Produce
Publisher : Program Studi Pendidikan Guru Sekolah Dasar FKIP Universitas Pasundan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23969/jp.v11i02.62835

Abstract

The rapid development of Artificial Intelligence (AI) has driven significant transformations across various sectors, including primary education. Although numerous studies have explored the application of AI in educational settings, comprehensive reviews focusing specifically on the adoption and diffusion of AI in primary education remain limited. This study aims to examine research trends, forms of AI implementation, factors influencing AI adoption and diffusion, implementation challenges, the implications of AI use for learning, and future research directions in the context of primary education. This study employed a Systematic Literature Review (SLR) approach following the PRISMA 2020 guidelines. Literature searches were conducted using Google Scholar and ERIC databases. From an initial pool of 70 identified articles, 18 studies met the inclusion criteria and were selected for further analysis. The findings reveal that AI implementation in primary education is predominantly characterized by the use of adaptive learning systems, intelligent tutoring systems, learning analytics, generative AI, and AI-assisted teaching tools. Key factors influencing AI adoption include AI literacy, teacher competence, institutional support, and technological infrastructure. However, several challenges remain, including limited teacher readiness, ethical and data privacy concerns, infrastructure disparities, and the lack of comprehensive policies governing AI use in education. Furthermore, AI contributes positively to personalized learning, student motivation, instructional efficiency, and the development of 21st-century skills. This study concludes that the successful adoption and diffusion of AI in primary education require not only technological advancement but also adequate human resource readiness and sustainable educational policies.