Unfolding Generation Z Pre-Service Elementary Teachers Positive Attitude Toward Artificial Intelligence: Rasch Model Analysis

Penulis

  • Eli Meivawati Universitas Sulawesi Barat, Indonesia http://orcid.org/0009-0008-7207-8970
  • Dyah Puspitasari Ningthias Universitas Mataram, Indonesia
  • Eka Pravitasari Putri Sekolah Tinggi Ilmu Ekonomi Port Numbay, Indonesia
  • Suci Rizkina Tari Universitas Syiah Kuala, Indonesia
  • Hilman Qudratudarsi Universitas Sulawesi Barat, Indonesia
  • Meili Yanti Universitas Sulawesi Barat

DOI:

https://doi.org/10.59698/afeksi.v6i4.487

Kata Kunci:

Generation Z, Pre-service Teacher, Rasch Model, Artificial Intelligence, Differential Item Functioning (DIF)

Abstrak

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.

Biografi Penulis

Eli Meivawati, Universitas Sulawesi Barat

Elementary School Teacher Education, Faculty of Teacher Training and Education

Dyah Puspitasari Ningthias, Universitas Mataram

Chemistry Education, Faculty of Teacher Training and Education

Eka Pravitasari Putri, Sekolah Tinggi Ilmu Ekonomi Port Numbay

Physics Education, Faculty of Teacher Training and Education

Suci Rizkina Tari, Universitas Syiah Kuala

Economic department

Hilman Qudratudarsi, Universitas Sulawesi Barat

Science Education, Faculty of Teacher Training and Education

Meili Yanti, Universitas Sulawesi Barat

Science Education, Faculty of Teacher Training and Education

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Unduhan

Diterbitkan

2025-05-30

Terbitan

Vol 6 No 4 (2025)

Bagian

Articles

Citation Check

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