Pipit Novita
Universitas Pamulang

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Persepsi Guru dan Siswa terhadap Penggunaan Fitur AI dalam Pengembangan Literasi PKn dan IPS di Sekolah Dasar Luqman Rohmad Maghribi; Darul Mutakin; Pipit Novita
JANACITTA Vol. 9 No. 1 (2026): JANACITTA (Journal of Primary and Children’s Education)
Publisher : Universitas Ngudi Waluyo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35473/janacitta.v9i1.4996

Abstract

Abstract AI advancement presents transformative opportunities and challenges in elementary education. This study explores teachers' and students' perceptions of integrating AI to enhance civic and social studies literacy in an Indonesian public elementary school. Using a qualitative descriptive approach, data were gathered through interviews, observations, and documentation, then analyzed via the Miles and Huberman interactive model. Findings indicate predominantly positive perceptions: teachers view AI as an innovative catalyst for instructional efficiency and creativity, while students find it engaging and accessible. However, challenges persist regarding digital literacy, infrastructure, and ethical concerns. Key influencing factors include technological readiness and institutional support. Practically, schools should prioritize AI-assisted pedagogical training and develop curriculum-specific AI prompts to ensure technology aligns with national standards and local values. This study concludes that AI holds substantial potential to strengthen social and civic literacy if implemented reflectively and ethically. These findings imply an urgent need for technology-driven policies and learning models that harmonize humanistic values with technological innovation. Abstrak Kemajuan AI menghadirkan peluang dan tantangan transformatif dalam pendidikan dasar. Studi ini mengeksplorasi persepsi guru dan siswa tentang integrasi AI untuk meningkatkan literasi kewarganegaraan dan studi sosial di sebuah sekolah dasar negeri di Indonesia. Menggunakan pendekatan deskriptif kualitatif, data dikumpulkan melalui wawancara, observasi, dan dokumentasi, kemudian dianalisis melalui model interaktif Miles dan Huberman. Temuan menunjukkan persepsi yang sebagian besar positif: guru memandang AI sebagai katalis inovatif untuk efisiensi dan kreativitas pembelajaran, sementara siswa menganggapnya menarik dan mudah diakses. Namun, tantangan tetap ada terkait literasi digital, infrastruktur, dan masalah etika. Faktor-faktor kunci yang memengaruhi meliputi kesiapan teknologi dan dukungan kelembagaan. Secara praktis, sekolah harus memprioritaskan pelatihan pedagogis yang dibantu AI dan mengembangkan petunjuk AI khusus kurikulum untuk memastikan teknologi selaras dengan standar nasional dan nilai-nilai lokal. Studi ini menyimpulkan bahwa AI memiliki potensi besar untuk memperkuat literasi sosial dan kewarganegaraan jika diimplementasikan secara reflektif dan etis. Temuan ini menyiratkan kebutuhan mendesak akan kebijakan dan model pembelajaran berbasis teknologi yang menyelaraskan nilai-nilai humanistik dengan inovasi teknologi.
PENGARUH PEMBELAJARAN DEEP LEARNING TERHADAP DIMENSI PROFIL PELAJAR BERPIKIR KRITIS DALAM MUATAN MATEMATIKA SD MATERI OPERASI HITUNG PEMBAGIAN BERBANTUAN AI Aulia Usman; Luqman Rohmad Maghribi; Fauzan Nafis Firdaus; Darul Mutakin; Pipit Novita
Pendas : Jurnal Ilmiah Pendidikan Dasar Vol. 11 No. 03 (2026): Volume 11 Nomor 03, September 2026 Verified
Publisher : Program Studi Pendidikan Guru Sekolah Dasar FKIP Universitas Pasundan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23969/jp.v11i03.58937

Abstract

This study examines the effect of deep learning approaches assisted by Artificial Intelligence (AI) on the critical thinking dimension of graduate profiles in elementary school mathematics, specifically on division operations. Using a quasi-experimental design with pretest-posttest control group, the study involved grade IV students as subjects. Data were collected through critical thinking tests validated through expert judgment and empirical trials. Reliability was tested using Cronbach's Alpha, yielding a coefficient of 0.817 (high category). Inferential analysis employed the Independent Sample T-Test following normality (Shapiro-Wilk) and homogeneity (Levene) tests. Results indicate a significant difference in posttest scores between the experimental group (deep learning with AI) and the control group (conventional). Students in the experimental class demonstrated higher ability to analyze, evaluate, infer, and communicate mathematical reasoning. AI-assisted deep learning positively influenced student engagement, motivation, and eco-digital literacy competence, supporting the formation of the Pancasila Student Profile, particularly critical thinking, independence, and reflective learning. These findings confirm that integrating AI technology in elementary mathematics effectively promotes higher-order thinking skills aligned with 21st-century education demands.