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All Journal JPS Unimus Jurnal Penelitian Pendidikan IPA (JPPIPA)
Ni'mah, Aqilatun
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Agriculture, Biological Sciences & Forestry Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Education Environmental Science Materials Science & Nanotechnology Physics Social Sciences Other

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Journal : JPS Unimus

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Artificial Intelligence (AI) for Problem-Solving in Chemistry Learning in Vocational High Schools: A Survey of Impact, Self-Efficacy, and Meaningfulness Mamluaturrahmatika, Annisa; Ni'mah, Aqilatun; Nurrachman, Aldi Pascagama
Jurnal Pendidikan Sains Universitas Muhammadiyah Semarang Vol 14, No 1 (2026): JURNAL PENDIDIKAN SAINS UNIVERSITAS MUHAMMADIYAH SEMARANG
Publisher : Pendidikan Kimia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26714/jps.14.1.2026.XX-XX

Abstract

The rapid development of artificial intelligence (AI) in the 21st century is transforming education into a more interactive, adaptive, and student-centered system. Chemistry learning in vocational schools is often theoretical, lacking contextualization, and inadequate in fostering student problem-solving. This gap highlights the mismatch between industry competency demands and current classroom practices, necessitating innovation through AI integration. This study aims to examine the impact of AI use in vocational chemistry learning on students’ problem-solving, including impact, self-efficacy, and meaningfulness. The study involved 157 students from SMK IPTEK Jakarta selected through cluster random sampling. Data were collected using a questionnaire and analyzed through one-way ANOVA. The ANOVA results showed a significance value of 0.056, indicating no significant differences in AI use across classes. AI integration has a positive impact on student problem-solving, increases self-efficacy, and promotes a more meaningful learning experience. Support from teachers, schools, and policymakers is crucial, along with further research to develop AI-based models and test their long-term impact.
Co-Authors Mamluaturrahmatika, Annisa Nurrachman, Aldi Pascagama Suwardi Suwardi