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"Pandemi COVID-19 menyebabkan universitas mulai menerapkan Pembelajaran Jarak Jauh (PJJ) untuk meneruskan aktivitas pembelajaran dari rumah, namun penerapan PJJ kerap terkendala masalah. Hal tersebut akan mempengaruhi kehidupan akademik seorang mahasiswa, terutama penilaian kemampuan diri sendiri dalam aktivitas akademis, atau academic self-efficacy (ASE). Tujuan penelitian ini adalah mengetahui apakah kualitas online learning berperan dalam memprediksi ASE pada mahasiswa angkatan 2018-2020. Hipotesis penelitian ini adalah kualitas online learning memprediksi naik dan turunnya ASE pada mahasiswa. Alat ukur yang digunakan adalah College Academic Self-Efficacy Scale (CASES), alat ukur kualitas online learning buatan Elango, Gudep dan Selvam. Sebanyak 119 mahasiswa angkatan 2018-2020 berpartisipasi dalam penelitian ini, 49 mahasiswa laki-laki dan 70 mahasiswa perempuan. Hasil analisis regresi linear menunjukkan bahwa kualitas online learning mampu memprediksi ASE mahasiswa, dengan naiknya kualitas online learning memprediksi naiknya ASE mahasiswa.

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Abstract. The COVID-19 pandemic has caused universities to start implementing Long Distance Learning (Pembelajaran Jarak Jauh) to continue learning activities from home, but the implementation of PJJ tends to be plagued with issues. This will influence the academic life of a student, especially the self-judgement of their capabilities in academic activities, or academic self-efficacy (ASE). The purpose of this research is to find out whether online learning quality has a role in predicting the ASE of university students of the years 2018-2020. This research hypothesizes that online learning quality can predict the rise and fall of ASE in university students. The measures used are College Academic Self-Efficacy Scale (CASES), an online learning quality scale developed by Elango, Gudep and Selvam. 119 university students of the years 2018-2020 participated in this research, 49 male students and 70 female students. The results of a linear regression analysis shows that online learning quality can predict the ASE of university students, with a rise of online learning quality predicting the rise of ASE"

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