Wasian Fauzi Nugroho
Universitas Sultan Ageng Tirtayasa, Banten

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Social Media as a Learning Tool in the Digital Education Era Muhamad Lazuardi Hakim; Wasian Fauzi Nugroho
Nusantara Education Studies Vol. 3 No. 1 (2025): June Edition
Publisher : Integra Academic Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63208/21011-569

Abstract

Digital transformation has changed the learning paradigm toward a more flexible, interactive, and student-centered educational process. One manifestation of this transformation is the use of social media as a learning tool. This study aims to analyze the role of social media in learning, identify its benefits and challenges, and formulate strategies for optimizing its use in supporting educational processes in the digital era. The study employed a qualitative approach using the Systematic Literature Review (SLR) method. Data were collected from scientific articles published over the last five years and analyzed through content analysis techniques. The findings indicate that social media enhances learning interaction and collaboration, expands access to learning resources, promotes independent learning, and increases students' motivation and engagement. However, its implementation also faces several challenges, including learning distractions, information validity, data security, and limited digital literacy. Therefore, the effective use of social media in education requires strengthening digital literacy, improving educators' competencies, and implementing well-planned learning strategies to enhance the quality of learning sustainably.
Learning Analytics for Improving Learning Outcomes in Data-Driven Education Yoga Tri Hermawan; Muhamad Lazuardi Hakim; Wasian Fauzi Nugroho
Nusantara Education Studies Vol. 3 No. 2 (2025): December Edition
Publisher : Integra Academic Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63208/21011-628

Abstract

Digital transformation in education has encouraged the utilization of learning data as a foundation for more effective decision-making. One of the emerging approaches is Learning Analytics, which refers to the process of collecting, analyzing, and interpreting learning data to understand and optimize students' learning processes. This article aims to analyze the role of Learning Analytics in improving learning outcomes through a data-driven learning approach. This study employed a descriptive qualitative method using a literature review of scientific publications from the last five years related to the implementation of Learning Analytics in educational contexts. The findings indicate that Learning Analytics contributes to improving learning engagement, personalized learning, feedback provision, early identification of academic risks, and evidence-based pedagogical decision-making. However, its implementation still faces challenges related to data privacy, information security, technological infrastructure readiness, and educators' data literacy competencies. Therefore, optimizing Learning Analytics requires ethical data management strategies, continuous development of user competencies, and sustainable technology integration to support effective learning processes and improve educational outcomes.