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All Journal Spizaetus: Jurnal Biologi dan Pendidikan Biologi
Ernawati Ernawati
Uninersitas Muhammadiyah Kupang
Agriculture, Biological Sciences & Forestry Biochemistry, Genetics & Molecular Biology Education Immunology & microbiology Other

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Implementasi Artificial Intelligence dalam Pembelajaran Biologi: Peran dan Kendala Penggunaannya di SMA Negeri 5 Kota Kupang Ernawati Ernawati; Weli Trifena Tampani; Yulsem Banamtuan; Novianti Natalia Boko; Indra Maryati Lisnahan
Spizaetus: Jurnal Biologi dan Pendidikan Biologi Vol 7 No 2 (2026): Spizaetus: Jurnal Biologi dan Pendidikan Biologi
Publisher : Program Studi Pendidikan Biologi, FKIP, Universitas Nusa Nipa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55241/spibio.v7i2.780

Abstract

Artificial Intelligence (AI) has increasingly influenced education, including biology learning at the senior high school level. This study aimed to examine students’ responses to the roles and challenges of AI implementation in biology learning at SMA Negeri 5 Kupang. The study employed a descriptive quantitative method supported by qualitative interview data. Participants consisted of 94 students selected through purposive sampling and three biology teachers as interview informants. Data were collected using closed-ended questionnaires with a five-point Likert scale and semi-structured interviews. The data were analyzed descriptively using percentages and mean scores. The results showed that students responded positively to the use of AI in biology learning. The average score for the role of AI was 3.61, indicating a high category. Students perceived AI as helpful in finding information, explaining biological concepts, supporting independent learning, and understanding difficult topics. The average score for challenges was 3.44, also categorized as high. The main challenges included difficulties in using AI applications, limited digital devices, and unstable internet connections. Interview findings revealed that AI can be an effective learning tool when accompanied by proper teacher guidance. Therefore, AI has the potential to improve biology learning and support students’ independent learning.
Co-Authors Indra Maryati Lisnahan Novianti Natalia Boko Weli Trifena Tampani Yulsem Banamtuan