PEMETAAN PERKEMBANGAN PENELITIAN SELF-REGULATED LEARNING DAN PROBLEM SOLVING: SYSTEMATIC LITERATURE REVIEW DAN ANALISIS BIBLIOMETRIK 2020–2026
DOI:
https://doi.org/10.51878/educator.v6i4.16156Keywords:
self-regulated learning, problem solving, analisis bibliometrik, systematic literature review, VOSviewer, BibliometrixAbstract
Research on self-regulated learning (SRL) and problem solving has expanded because students’ ability to regulate learning processes is important when addressing complex tasks. However, research development remains dispersed across different contexts, requiring systematic mapping to identify the structure and direction of the field. This study aims to map research on SRL and problem solving from 2020 to 2026 using a Systematic Literature Review (SLR) and bibliometric analysis. Data were obtained from Scopus using the search string ("self-regulated learning" OR "self-regulation") AND ("problem solving" OR "problem-solving"). From 730 initial documents, 198 English-language journal articles were retained after screening. VOSviewer and Bibliometrix/Biblioshiny were used to analyze publication development, keyword relationships, collaboration, and thematic evolution. The results show an increase in publications from 21 articles in 2020 to 53 articles as of September 28, 2026. Self-regulated learning, problem solving, and metacognition were the dominant keywords, with strong connections to self-efficacy, motivation, game-based learning, learning analytics, and artificial intelligence. Artificial intelligence and generative artificial intelligence emerged as recent research directions. These findings indicate that SRL and problem solving research is increasingly integrating cognitive, motivational, social, and technological dimensions.
ABSTRAK
Penelitian self-regulated learning (SRL) dan problem solving berkembang karena kemampuan mengatur proses belajar penting dalam penyelesaian tugas kompleks. Namun, perkembangannya masih tersebar pada berbagai konteks sehingga diperlukan pemetaan sistematis untuk mengidentifikasi struktur dan arah penelitian. Penelitian ini bertujuan memetakan perkembangan penelitian SRL dan problem solving periode 2020–2026 melalui Systematic Literature Review (SLR) dan analisis bibliometrik. Data diperoleh dari Scopus menggunakan kata kunci ("self-regulated learning" OR "self-regulation") AND ("problem solving" OR "problem-solving"). Dari 730 dokumen awal, diperoleh 198 artikel jurnal berbahasa Inggris setelah proses penyaringan. Analisis dilakukan menggunakan VOSviewer dan Bibliometrix/Biblioshiny untuk memetakan perkembangan publikasi, hubungan keyword, kolaborasi, dan evolusi tema. Hasil menunjukkan peningkatan publikasi dari 21 artikel pada 2020 menjadi 53 artikel hingga 28 September 2026. Self-regulated learning, problem solving, dan metacognition menjadi keyword dominan, dengan keterkaitan kuat pada self-efficacy, motivation, game-based learning, learning analytics, dan artificial intelligence. Tema AI dan generative artificial intelligence muncul sebagai arah penelitian terbaru. Penelitian ini menunjukkan bahwa kajian SRL dan problem solving berkembang menuju integrasi kognitif, motivasional, sosial, dan teknologi.
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