TREN DALAM PENELITIAN SELF-REGULATED LEARNING DALAM DEKADE TERAKHIR: SYSTEMATIC LITERATURE NETWORK ANALYSIS
Abstract
Artikel ini sebagai sumber pengetahuan tentang Self-Regulated Learning berdasarkan pendekatan analisis Systematic Literature Network Analysis (SLNA). Untuk tujuan ini, informasi bibliometrik dari artikel penelitian yang diterbitkan pada topik self-regulated learning diambil dari database Scopus. Secara keseluruhan, 81 artikel yang diterbitkan antara tahun 2015 s.d 2024 telah diambil. Pencarian data menggunakan Publish or Perish, Analisis menggunakan pendekatan bibliometric R dan Vosviewer. Temuan utama dari penelitian ini mengungkapkan tren publikasi dalam literatur Self Regulated Learning sejak tahun 2015 hingga 2024. Mengidentifikasi penulis yang paling produktif dan karya penelitian yang paling berpengaruh. Temuan menunjukkan bahwa tingkat kontribusi E. Panadero adalah yang tertinggi pada topik self-regulated learning. Artikel yang paling berpengaruh telah diterbitkan di Jurnal Computer and Education. Temuan penelitian terdapat implikasi penelitian dan pendidikan mengenai self regulated learning.
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DOI: https://doi.org/10.37058/prospek.v6i2.17528
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