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All Journal Pendas : Jurnah Ilmiah Pendidikan Dasar Aksi Nyata : Jurnal Pengabdian Sosial dan Kemanusiaan
Ririn Hestiningtyas
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Agriculture, Biological Sciences & Forestry Humanities Economics, Econometrics & Finance Education Engineering Law, Crime, Criminology & Criminal Justice Other

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Pengembangan Bahan Ajar Adaptif Berbasis Artificial Intelligence untuk Meningkatkan Kualitas Pembelajaran Sekolah Dasar di Sekolah Alam Ananda Mandiri Ratri Wikaningtyas; Nurhayati Nurhayati; Sigit Arvianto; Handoko Aji Wardana; Istiqomah Istiqomah; Ririn Hestiningtyas; Imam Budi Prasetyo
Aksi Nyata : Jurnal Pengabdian Sosial dan Kemanusiaan Vol. 3 No. 1 (2026): Januari : Aksi Nyata : Jurnal Pengabdian Sosial dan Kemanusiaan
Publisher : Lembaga Pengembangan Kinerja Dosen

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62383/aksinyata.v3i1.2787

Abstract

The need for learning materials that can adapt to students’ abilities and characteristics has made the development of AI-based adaptive learning resources increasingly important in elementary education. However, limited digital literacy and high workloads among teachers hinder optimal implementation. This Community Service Program aimed to enhance the competencies of teachers at Sekolah Alam Ananda Mandiri Slawi through workshops, guided practice, and hands-on development of AI-supported adaptive materials. The method included preparation, conceptual presentation, technology demonstration, guided practice, pre–post evaluation, and follow-up support. The results showed a significant improvement, with teachers’ competence in the “good” category increasing from 22.5% to 82.5%, and all participants (100%) successfully producing at least one adaptive module and one deep-learning-based material component. Furthermore, 92% of participants reported that the program greatly improved their digital literacy and pedagogical understanding. Thus, this activity effectively strengthened teachers’ competencies and provided a strong foundation for the sustainable integration of AI-based adaptive learning materials in elementary classrooms.
ANALISIS KETERAMPILAN COMPUTATIONAL THINKING CALON GURU SEKOLAH DASAR PADA MATA KULIAH MATEMATIKA DASAR Istiqomah; Ririn Hestiningtyas
Pendas : Jurnal Ilmiah Pendidikan Dasar Vol. 10 No. 4 (2025): Volume 10. No4, Desember 2025.
Publisher : Program Studi Pendidikan Guru Sekolah Dasar FKIP Universitas Pasundan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23969/jp.v10i4.35968

Abstract

This study aims to describe the computational thinking skills of prospective elementary school teachers in basic mathematics courses. The method used in this study is qualitative descriptive research. The research subject semester I students of PGSD Study Program, Harkat Negeri University. The data collection technique used uses skill test instruments in answering math problems in basic mathematics courses with the subject matter of the smallest common multiple and the largest fellowship factor. The collected data were analyzed using a qualitative descriptive approach. After data analysis, it is known that the first and second questions respondents are able to solve problems with components of computational thinking which include decomposition, abstraction, algorithms, and generalization, while there are different components in solving two different problems.
Co-Authors Handoko Aji Wardana Imam Budi Prasetyo Istiqomah Istiqomah Istiqomah Nurhayati Nurhayati Ratri Wikaningtyas Sigit Arvianto