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All Journal Afeksi: Jurnal Penelitian dan Evaluasi Pendidikan Dedikasi: Jurnal Pengabdian Kepada Masyarakat
Qudratudarsi, Hilman
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Religion Humanities Economics, Econometrics & Finance Education Environmental Science Languange, Linguistic, Communication & Media Library & Information Science Mathematics Social Sciences Other

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Unfolding Generation Z Pre-Service Elementary Teachers Positive Attitude Toward Artificial Intelligence: Rasch Model Analysis Meivawati, Eli; Ningthias, Dyah Puspitasari; Pravitasari Putri, Eka; Tari, Suci Rizkina; Qudratudarsi, Hilman; Yanti, Meili
Afeksi: Jurnal Penelitian dan Evaluasi Pendidikan Vol 6, No 4 (2025)
Publisher : Pusat Studi Penelitian dan Evaluasi Pembelajaran

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59698/afeksi.v6i4.487

Abstract

This study investigates the attitudes of pre-service elementary teachers in Indonesia toward artificial intelligence (AI) using Rasch model analysis. As future educators, their perceptions of AI are crucial for the successful integration of technology in educational practices. The research involved 244 participants from the Elementary Teacher Education program in West Sulawesi, Indonesia, selected based on inclusion criteria such as year of study and experience with AI applications in learning. The instrument, adapted with 12 items measuring positive attitudes toward AI, was validated through checks for reliability, item separation, fit statistics, and unidimensionality. Data were analyzed using WINSTEPS software to generate Wright maps and conduct Differential Item Functioning (DIF) analysis. Findings reveal that pre-service teachers generally demonstrate a moderate to high positive attitude toward AI, with higher-year students and those with more frequent AI usage exhibiting stronger positive attitudes. DIF analysis shows significant differences in item endorsement based on year of study and supported by one-way ANOVA results. These results suggest that greater exposure to AI correlates with more favorable attitudes. The study implies the need for structured AI integration in teacher education curricula to foster readiness and acceptance of AI in future teaching practices.
Coaching Clinic sebagai Upaya Optimalisasi Pendanaan Riset melalui Hibah BIMA Kemdiktisaintek 2025 Meivawati, Eli; Qudratudarsi, Hilman; Putera, Alexander Kurniawan Sariyanto; Sridelia, Prita
Bestari: Jurnal Pengabdian Kepada Masyarakat Vol 5 No 3 (2025)
Publisher : Sekolah Tinggi Keguruan dan Ilmu Pendidikan (STKIP) Melawi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46368/dpkm.v5i3.4199

Abstract

Kegiatan pengabdian ini dilaksanakan sebagai upaya strategis dalam mengoptimalkan pendanaan riset melalui Hibah BIMA Kemdiktisaintek tahun 2025. Kegiatan ini dirancang untuk membimbing dosen dalam menyusun proposal penelitian dan pengabdian kepada masyarakat yang berkualitas dan sesuai dengan kriteria pendanaan hibah BIMA. Kepuasan peserta diukur menggunakan kuesioner berbasis SERVQUAL dan dianalisis menggunakan uji Wilcoxon Signed-Rank melalui aplikasi Jamovi. Hasil menunjukkan bahwa persepsi peserta terhadap kegiatan sangat positif dan signifikan secara statistik, terutama pada aspek kompetensi fasilitator. Namun demikian, alokasi waktu bimbingan masih dirasakan terbatas oleh sebagian peserta. Dampak dari kegiatan ini tercermin dari meningkatnya jumlah proposal yang berhasil didanai, serta posisi Universitas Sulawesi Barat dalam daftar 20 besar penerima hibah terbanyak dalam skema penelitian. Pengembangan lebih lanjut disarankan melalui sesi lanjutan dan bimbingan daring untuk meningkatkan kualitas proposal dan peluang keberhasilan pendanaan.
Co-Authors Alexander Kurniawan Sariyanto Putera Meivawati, Eli Ningthias, Dyah Puspitasari Pravitasari Putri, Eka Sridelia, Prita Tari, Suci Rizkina