Optimalisasi Pengembangan Bahan Ajar Berbasis Deep Learning dan Artificial Intelligence dalam Pendidikan Vokasi
DOI:
https://doi.org/10.59837/jpmba.v3i4.2557Keywords:
Bahan Ajar Inovatif, Pembelajaran Mendalam (Deep learning), Pendidikan Vokasi, Artificial Intelligence, Participatory Action Research (PAR)Abstract
Pendekatan pembelajaran mendalam merupakan pendekatan kurikulum baru dalam dunia pendidikan Indonesia, oleh karena itu guru-guru masih mengalami kesulitan untuk mengintegrasikan pendekatan tersebut ke dalam bahan ajar. Berdasarkan hasil observasi, permasalahan serupa terjadi di SMK Kesehatan Bali Medika Denpasar dimana guru-guru kesulitan merancang kurikulum dan bahan ajar pembelajaran mendalam. Tujuan dari pengabdian masyarakat ini adalah untuk mensosialisasikan dan mengembangkan kemampuan guru-guru dalam merancang bahan ajar dengan pendekatan deep learning. Program pengabdian masyarakat ini menggunakan pendekatan PAR (Participatory Action Research), dengan melibatkan 15 guru dalam kegiatan sosialisasi dan pelatihan dilibatkan dalam mengisi instrumen pre test-dan post test pembelajaran mendalam. Hasil analisis menunjukkan bahwa terdapat peningkatan pemahaman guru secara signifikan mengenai cara menyusun bahan ajar berbasis pendekatan pembelajaran mendalam (p=0.000). Pelatihan dan pengembangan bahan ajar spesifik berbasis problem-based learning dengan pendekatan pembelajaran mendalam sangat diharapkan kedepannya, mengingat karakter pendidikan vokasi yang mengedepankan pemecahan masalah real atau ill structured problem
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