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Pengaruh Pemanfaatan Learning Management System (LMS) terhadap Kemandirian Belajar Mahasiswa: Penelitian Suyuti; Saidatul Karimah; Didi Sudrajat; Imam Tazali; Hasan Wardana; Margareta Delviona
Jurnal Pengabdian Masyarakat dan Riset Pendidikan Vol. 4 No. 3 (2026): Jurnal Pengabdian Masyarakat dan Riset Pendidikan Volume 4 Nomor 3 (Januari 202
Publisher : Lembaga Penelitian dan Pengabdian Masyarakat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/jerkin.v4i3.5549

Abstract

Penelitian ini bertujuan untuk menganalisis pengaruh pemanfaatan Learning Management System (LMS) terhadap kemandirian belajar mahasiswa melalui pendekatan studi literatur. Perkembangan teknologi pendidikan telah mendorong transformasi sistem pembelajaran di perguruan tinggi, di mana LMS menjadi platform utama dalam mendukung pembelajaran daring dan blended learning. Dalam konteks tersebut, kemandirian belajar menjadi kompetensi esensial yang menentukan keberhasilan mahasiswa. Penelitian ini menggunakan metode studi literatur dengan tahapan identifikasi masalah, penelusuran sumber ilmiah, seleksi literatur berdasarkan kriteria relevansi dan kredibilitas, analisis isi, serta sintesis temuan penelitian terdahulu. Hasil kajian menunjukkan bahwa pemanfaatan LMS berkontribusi positif terhadap penguatan self-regulated learning mahasiswa, khususnya dalam aspek perencanaan belajar, manajemen waktu, pengendalian diri, dan refleksi pembelajaran. Selain itu, faktor kualitas sistem, desain instruksional, interaksi dalam pembelajaran daring, serta self-efficacy mahasiswa turut memengaruhi tingkat kemandirian belajar. Meskipun LMS menyediakan fasilitas yang mendukung pembelajaran mandiri, efektivitasnya sangat bergantung pada kesiapan mahasiswa dan strategi pedagogis yang diterapkan oleh dosen. Dengan demikian, LMS tidak hanya berfungsi sebagai media distribusi materi, tetapi juga sebagai sarana strategis dalam membentuk budaya belajar mandiri di pendidikan tinggi. Penelitian ini memberikan kontribusi teoretis melalui sintesis konsep self-regulated learning dan keberhasilan sistem e-learning, serta implikasi praktis bagi pengembangan pembelajaran berbasis LMS yang lebih efektif.
A Bibliometric Analysis of Digital Teacher Competency Research Trends in the Era of Artificial Intelligence-Based Learning: A Global Study Didi Sudrajat; Asnal Hafiz; Hernita Pasongli; Muh. Safar; Ahmad Yani
International Journal of Educational Research Excellence (IJEREC) Vol. 6 No. 1 (2027): January-June
Publisher : PT Inovasi Pratama Internasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55299/ijerec.v6i1.1425

Abstract

The integration of artificial intelligence (AI) into education requires a reconceptualization of digital teacher competencies. This study presents a qualitative bibliometric analysis of global research trends in digital teacher competency in the era of AI-based learning. Using the Scopus database, 876 documents published between 2014 and 2024 were analyzed through descriptive bibliometrics, keyword co-occurrence mapping, and thematic cluster interpretation using VOSviewer. The qualitative method employed an interpretive approach to identify the emergent thematic structures, evolutionary pathways, and geographic distribution patterns. The findings reveal exponential growth in publications since 2020, driven by the rise of generative AI and adaptive learning systems. Four dominant thematic clusters emerged: (1) foundational digital competence frameworks and teacher professional development, (2) AI-driven adaptive and personalized learning environments, (3) ethical dimensions and AI literacy, and (4) data-informed pedagogical decision-making. The United States, China, and the United Kingdom lead scientific production, while Indonesia appears as the most productive Southeast Asian country but with a limited citation impact. The temporal evolution demonstrates a clear shift from generic digital literacy to AI-specific competencies, such as prompt engineering, algorithmic evaluation, and critical AI pedagogy. The discussion highlights the urgent need to embed AI-related constructs into existing teacher competence frameworks and foster international research collaboration. This study provides a comprehensive research map for policymakers, teacher educators, and researchers aiming to design future-ready professional development models