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Aulia Usman
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Insights: Journal of Primary Education Research
Published by Yayasan Insan Mulia Bima
ISSN : -     EISSN : 30468000     DOI : https://doi.org/10.59923/insights
Core Subject : Education, Social,
Education Languange, Linguistic, Communication & Media Mathematics Social Sciences Other
Insights: Journal of Primary Education Research is published by the Insan Mulia Bima Foundation. Indonesian Education Ideas is a peer-reviewed journal published in Indonesia. Insights: Journal of Primary Education Research contains research publications in the field of basic education and early childhood.This journal aims to accommodate articles resulting from research and community service results in the field of education and learning, especially in elementary school and early childhood.However, the main aim of this journal is to share thoughts about education which have an impact on improving the quality of education both in Indonesia and throughout the world in the field of basic and early childhood education.
Arjuna Subject : Ilmu Sosial - Pendidikan
Articles 22 Documents
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Integration of Artificial Intelligence in Pancasila Education Learning to Enhance Civic Intelligence in Elementary Schools Frans Tory Damara Pradipta; Subri Rahmadani; Guntur Sumaryandi
Insights: Journal of Primary Education Research Vol. 2 No. 2 (2025): Insights: Journal of Primary Education Research
Publisher : Yayasan Insan Mulia Bima

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59923/insights.v2i2.900

Abstract

Civic education in elementary schools still faces challenges in developing students’ civic intelligence as learning often focuses more on content mastery than critical thinking and civic problem-solving skills. Meanwhile, Artificial Intelligence (AI) offers opportunities to support more adaptive, interactive, and contextual learning. However, studies specifically examining the integration of AI into Pancasila Education to support the development of civic intelligence remain limited. This study aims to analyze the integration of Artificial Intelligence in Pancasila Education learning and its potential to support the development of civic intelligence among elementary school students. This study employed a qualitative approach using an integrative literature review design. Data were collected from national and international journal articles, scholarly books, and relevant academic documents and were analyzed through content analysis involving data reduction, thematic categorization, interpretation, and synthesis. The findings suggest that AI has the potential to support Pancasila Education through adaptive learning systems, intelligent tutoring systems, educational chatbots, and learning analytics, thereby promoting more contextual and student-centered learning. Nevertheless, the effectiveness of AI implementation largely depends on teachers' ability to design meaningful learning experiences and ensure the ethical use of AI in accordance with the objectives of Pancasila Education.
Analysis of Numeracy Literacy Skills Based on Gender of Second-Grade Elementary School Students Yuliani Yuliani; Muhammad Turmuzi; Baiq Yuni Wahyuningsih; Aulia Usman
Insights: Journal of Primary Education Research Vol. 3 No. 1 (2026): Insights: Journal of Primary Education Research
Publisher : Yayasan Insan Mulia Bima

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59923/insights.v3i1.919

Abstract

This study aims to describe in depth the numeracy literacy skills in number concepts from a gender perspective among second-grade students at SD Negeri 1 Selebung in the 2025/2026 academic year. The approach used in this study is a mixed-methods design with a sequential explanatory approach. The research population comprised all 26 second-grade students. The qualitative sample was determined using a purposive sampling technique, consisting of 6 subjects selected based on the representation of their cognitive competence levels. Data collection was carried out through test instruments, interviews, and documentation. The validity of the quantitative data was ensured through expert judgment, while the qualitative data was verified via technical triangulation and member checking. Quantitative data analysis utilized descriptive statistics, whereas qualitative data analysis followed the Miles and Huberman model, which includes data reduction, data display, and conclusion drawing. The quantitative results revealed a significant disparity in achievement, where female students achieved a higher mean score of 91.66 (with 91.66% categorized in the Proficient level and 1 person student in the proficient category (8.33%), while male students obtained a mean score of 77.85 (50% Proficient, 42.85% Competent, and 7.14% Basic), demonstrating a score gap of 13.81 points. The qualitative analysis further confirmed that this disparity was influenced by psychological traits and learning habits. Female students upervised study patterns at home. Conversely, male students exhibited impulsive tendencies, lacked meticulousness during testing, and preferred to spend their free time on playtime activities without revising their lessons.

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