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Peran Guru Dalam Mendorong Inovasi Siswa Melalui Metode Pembelajaran Berbasis Proyek Chandra Sagul Haratua; Uban Subandi; Leni Nurlela; Aji Sari Nusetyawati; Nurhikmah Fitriani
Jurnal Sadewa : Publikasi Ilmu Pendidikan, pembelajaran dan Ilmu Sosial Vol. 2 No. 3 (2024): Agustus : Publikasi Ilmu Pendidikan, pembelajaran dan Ilmu Sosial
Publisher : Asosiasi Riset Ilmu Pendidikan Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61132/sadewa.v2i3.966

Abstract

This study aims to explore the role of teachers in encouraging student innovation through project-based learning methods in junior high school. This study uses a descriptive research approach to understand the experiences and views of teachers and students. The data used is qualitative data. The subjects of this research are Madrasah teachers, namely junior high schools, namely MTsS SA Al-Mukarrim. Data collection techniques and instruments through interviews, observations, and document studies. Based on the research, the findings show that teachers have an important role as facilitators, mentors and supervisors in the learning process. Teachers encourage students to experiment, identify problems, and design problem solving. The application of learning approaches is very effective for teachers in developing students' creativity, critical thinking, and innovation through project-based learning methods.
Integrasi Teknologi AI dalam Pembelajaran STEM di Sekolah Menengah : Perspektif Personalisasi, Tantangan, dan Implikasi Uban Subandi; Supardi US
Bilangan : Jurnal Ilmiah Matematika, Kebumian dan Angkasa Vol. 2 No. 6 (2024): Bilangan : Jurnal Ilmiah Matematika, Kebumian dan Angkasa
Publisher : Asosiasi Riset Ilmu Matematika dan Sains Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62383/bilangan.v2i6.320

Abstract

Artificial Intelligence in STEM education has gained attention because it has the potential to transform the learning and teaching process. The study aims to systematically analyze the application of AI technology in STEM education, focusing on the impact on student engagement, learning outcomes, and teaching methods. The study used the Systematic Literature Review (SLR) method with PRISMA guidance, Articles published in the last ten years, to ensure the selection process on the latest trends. The main findings show that AI-based tools, such as adaptive learning systems, intelligent tutoring systems, and automated assessment platforms, significantly enhance the personalized learning experience and encourage students' critical thinking skills in STEM learning. Challenges such as ethical considerations, data privacy issues, and the digital divide are still issues that need attention. Overall, the study shows that AI has a crucial role in STEM education in the future and recommends a strategic framework to overcome the challenges of AI implementation. The main findings of the article provide a basis for educators, policymakers, and researchers to develop and implement AI-based innovations effectively in STEM education.