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All Journal Jurnal Counsellia Psychosophia: Journal of Psychology, religion, and humanity Prima Abdika: Jurnal Pengabdian Masyarakat NUSRA: Jurnal Penelitian dan Ilmu Pendidikan Konstruktivisme : Jurnal Pendidikan dan Pembelajaran
Syifa, Abdullah
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Religion Arts Humanities Education Environmental Science Languange, Linguistic, Communication & Media Mathematics Social Sciences Other

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Journal : NUSRA: Jurnal Penelitian dan Ilmu Pendidikan

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Grit Akademik Mahasiswa: (Deferensiasi Gender Pada Pembelajaran Online Statistika di Era Revolusi Industri 4.0) Amalia, Kiki; Syifa, Abdullah
NUSRA : Jurnal Penelitian dan Ilmu Pendidikan Vol. 5 No. 1 (2024): NUSRA: Jurnal Penelitian dan Ilmu Pendidikan, Februari 2024
Publisher : LPPM Institut Pendidikan Nusantara Global

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55681/nusra.v5i1.2259

Abstract

This research aims to determine differences in students' academic grit in online statistics courses based on gender. This research was conducted in 2021 on odd semester Islamic Psychology Study Program students. The population is students who have taken statistics and advanced statistics courses in even and odd semesters, totaling 60 students. The sampling technique used is a total sample, where all members of the population are used as sample members. Data was collected using an academic grit measuring tool in which there are 12 statement items. Data were analyzed using an independent difference test (independent t-test). The results of this research are that there are differences in students' academic grit during online statistics lectures based on gender. The research proportion value obtained was 0.006, where this value was smaller than the research significance value (0.05). This difference is a separate note as an effort to relate it to competence in the era of industrial revolution 4.0. Statistical skills are one of the skills that must be possessed in the era of industrial revolution 4.0. This is because with the existence of "Big Data", skills are needed in how to collect data, process data, compile data, present data, and analyze data well so as to produce correct conclusions on the data. In the future, statistics learning needs to be strengthened from a practical perspective so that students are skilled in managing "Big Data".
Co-Authors Azzahrah, Syarifah Fathiyyah Baroroh, Ema Zati Fitri Sukmawati, Fitri Kiki Amalia Nugraha, Wira Oktaviana, Sherli Kurnia Yudistira, Raden Tirta