Rizky Aprilliani Nurdin
Universitas Negeri Makassar

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Studi Kritis Tentang Perspektif Filsafat Pendidikan dan Dampaknya Terhadap Gaya Mengajar Guru Rizky Aprilliani Nurdin; Ismail Ismail
JGK (Jurnal Guru Kita) Vol. 9 No. 2: Maret 2025 (Article In Progress )
Publisher : Universitas Negeri Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24114/jgk.v9i2.64262

Abstract

Beberapa aliran filsafat pendidikan akan memiliki dampak terhadap gaya belajar yang digunakan dari seorang pendidik, misalnya dalam melakukan interaksi bersama dengan peserta didik. Tujuan penulisan ialah memberikan hasil analisa terkait dengan studi kritis tentang perspektif filsafat pendidikan dan dampaknya terhadap gaya mengajar guru. Metode penulisan ialah menggunakan penelitian kualitatif. Hasil dan simpulan ialah kegiatan pembelajaran yang dilakukan di kelas dipengaruhi oleh aspek gaya mengajar serta filosofi pendidikan. Melalui penerapan terkait filosofi pendidikan mampu memberikan pengetahuan terkait metode ataupun strategi yang dapat digunakan pendidik melalui penerapan beberapa prinsip dalam pembelajaran.
Biology Learning in the AI Era: Investigating the Effects of Digital Fatigue, Cognitive Load, and Moral Reasoning on Student Outcomes Rizky Aprilliani Nurdin; Andi Mu'nisa; Asham Bin Jamaluddin; Firdaus Daud; Ismail
International Journal of Educational Practice and Policy Vol. 4 No. 2 (2026): June-July 2026
Publisher : PT. Global Research Collaboration

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.66314/ijepp.v4i2.966

Abstract

This study aimed to examine the effects of digital fatigue, cognitive load, and moral reasoning on biology knowledge and biology attitudes, as well as the effect of biology knowledge on biology attitudes among senior high school students in Makassar City during the era of Artificial Intelligence (AI). A cross-sectional design was employed involving 500 students from 10 senior high schools in Makassar City. Data were collected through questionnaires and analyzed using Structural Equation Modeling–Partial Least Squares (SEM-PLS). The results revealed that digital fatigue, cognitive load, and moral reasoning had positive and significant effects on both biology knowledge and biology attitudes (p < 0.05). Biology knowledge also had a positive and significant effect on biology attitudes (β = 0.386, p < 0.05). The R² values indicated that the model explained 69.3% of the variance in biology knowledge and 73.9% of the variance in biology attitudes. These findings suggest that cognitive factors, moral reasoning, and digital learning experiences play important roles in enhancing biology knowledge and shaping students’ attitudes toward biology in the AI era.