AI-Assisted Learning as Predictors of Academic Achievement: The Mederator Role of Information Processing Academic
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Abstract
Pemanfaatan Artificial Intelligence (AI) dalam pendidikan tinggi berkembang pesat, namun pengaruhnya terhadap pencapaian akademik mahasiswa masih menunjukkan hasil yang beragam. Perbedaan tersebut mengindikasikan bahwa terdapat faktor kognitif yang dapat memperkuat efektivitas penggunaan AI dalam pembelajaran. Penelitian ini bertujuan menganalisis pengaruh AI-Assisted Learning terhadap Academic Achievement, pengaruh Information Processing Academic terhadap Academic Achievement, serta peran moderasi Information Processing Academic pada hubungan antara AI-Assisted Learning dan Academic Achievement. Penelitian menggunakan desain eksplanatori dengan pendekatan kuantitatif. Sampel penelitian terdiri atas mahasiswa Program Studi Pendidikan Guru Madrasah Ibtidaiyah (PGMI) IAIN Curup yang dipilih menggunakan teknik stratified sampling. Data dikumpulkan melalui kuesioner yang diadopsi dari penelitian terdahulu dan dianalisis menggunakan Structural Equation Modeling-Partial Least Squares (SEM-PLS) dengan SmartPLS 4. Hasil penelitian menunjukkan bahwa AI-Assisted Learning berpengaruh positif terhadap Academic Achievement. Information Processing Academic juga berpengaruh positif terhadap Academic Achievement dan berperan memperkuat pengaruh AI-Assisted Learning terhadap Academic Achievement. Temuan ini menunjukkan bahwa keberhasilan pemanfaatan AI dalam pembelajaran tidak hanya bergantung pada intensitas penggunaannya, tetapi juga pada kemampuan mahasiswa dalam memahami, mengorganisasi, mensintesis, dan menerapkan informasi akademik. Penelitian ini memberikan kontribusi terhadap pengembangan model pembelajaran berbasis AI dengan menekankan pentingnya penguatan kemampuan pemrosesan informasi akademik sebagai faktor pendukung peningkatan prestasi akademik mahasiswa.
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