Peran Integrasi AI dalam Optimalisasi Pembelajaran Brain-based Learning
Abstract
Penelitian ini bertujuan untuk menganalisis peran integrasi Kecerdasan Buatan (AI) dalam mengoptimalkan Pembelajaran Berbasis Otak (Brain-Based Learning/BBL) di tingkat sekolah dasar, mengatasi kesenjangan riset yang signifikan antara neurosains dan teknologi adaptif. Menggunakan Tinjauan Literatur Sistematis (SLR) terhadap 10 artikel ilmiah bereputasi (2020–2025), hasil sintesis secara konsisten mengonfirmasi bahwa fitur-fitur AI seperti personalisasi materi, adaptive tutoring, dan media multisensori yang berkontribusi besar dalam meningkatkan aspek kognitif BBL, termasuk atensi, memori jangka panjang, dan berpikir kritis. Kontribusi ini dicapai melalui penyelarasan proses belajar dengan cara kerja alami otak (penguatan koneksi saraf, pengurangan beban kognitif). Meskipun potensi transformasional AI terbukti, keberhasilan implementasi sangat bergantung pada penyelesaian tantangan non-teknis, yakni: ketersediaan infrastruktur, kesiapan pendidik, dan penanganan isu etika serta privasi data. Dengan demikian, integrasi AI dan BBL menciptakan ekosistem pembelajaran yang adaptif dan efektif, namun menuntut dukungan kebijakan dan pelatihan yang memadai.
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