AI-Supported Learning Design untuk Meningkatkan Self-Regulated Learning Mahasiswa
DOI:
https://doi.org/10.31004/ijisk.v3i4.802Keywords:
AI-Supported Learning, Self-Regulated Learning, desain pembelajaranAbstract
Perkembangan kecerdasan buatan dalam pendidikan membuka peluang untuk membangun lingkungan belajar yang lebih adaptif, personal, dan responsif terhadap kebutuhan mahasiswa. Pemanfaatan AI belum secara otomatis membentuk kemampuan mahasiswa dalam mengatur tujuan, strategi, pemantauan, dan refleksi belajar sehingga diperlukan desain pembelajaran yang mengintegrasikan AI dengan mekanisme Self-Regulated Learning secara sistematis. Penelitian ini bertujuan menganalisis pengaruh AI-Supported Learning Design terhadap Self-Regulated Learning mahasiswa setelah mengendalikan kemampuan awal. Penelitian menggunakan pendekatan kuantitatif dengan desain kuasi-eksperimental pretest-posttest control group. Sebanyak 60 mahasiswa dibagi secara proporsional ke dalam kelompok eksperimen dan kontrol, masing-masing 30 mahasiswa. Instrumen penelitian terdiri atas 25 item Self-Regulated Learning dengan skala Likert lima tingkat. Analisis dilakukan menggunakan statistik deskriptif, uji asumsi, paired samples t-test, dan ANCOVA. Hasil penelitian menunjukkan peningkatan rata-rata Self-Regulated Learning sebesar 17,700 poin pada kelompok eksperimen dan 5,533 poin pada kelompok kontrol. ANCOVA menunjukkan perbedaan signifikan antar kelompok setelah Pre_Total dikendalikan, F(1,57) = 183,461, p < 0,001, partial η² = 0,763. Adjusted mean kelompok eksperimen sebesar 92,590, sedangkan kelompok kontrol sebesar 80,377. Novelty penelitian terletak pada pengembangan AI sebagai komponen desain pembelajaran yang secara terstruktur mendukung penetapan tujuan, perencanaan, monitoring, regulasi strategi, umpan balik, dan refleksi. Temuan menegaskan bahwa nilai pedagogis AI bergantung pada kualitas desain pembelajaran yang mengarahkan teknologi untuk memperkuat regulasi belajar mahasiswa.
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