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Learning Analytics and Adaptive Learning Systems for Supporting Problem-Solving Skills: A Systematic Review toward Sustainable Education Qurrota A'yun; Rahmatta Thoriq Lintangesukmanjaya; Dwikoranto Dwikoranto; Neisya Azaria Adinda Putri; Noval Maleakhi Hulu
Journal of Innovative Technology and Sustainability Education Vol. 2 No. 3 (2026): December
Publisher : Sekolah Tinggi Agama Islam Sabilul Muttaqin Mojokerto

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63230/jitse.2.3.142

Abstract

Objective: This study aims to systematically examine publication trends, dominant technologies, implementation strategies, educational impacts, challenges, and future directions in learning analytics and adaptive learning systems to improve students’ problem-solving skills in sustainable education contexts. Method: Research employed a Systematic Literature Review (SLR) approach following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines. Articles were collected from Scopus, Web of Science, ScienceDirect, Springer, IEEE Xplore, and Google Scholar using predefined inclusion and exclusion criteria. From 1,487 initial records, 20 articles published between 2022 and 2026 in Scopus-indexed Q1–Q3 journals were selected for in-depth thematic analysis.  Results:  The findings reveal a growing research trend toward intelligent and personalized learning systems. Intelligent tutoring systems, adaptive learning platforms, predictive analytics, augmented reality, and gamification emerged as the most frequently used technologies. These technologies were found to improve self-regulated learning, collaboration, higher-order thinking, and students’ problem-solving performance across various educational contexts.  Novelty: This review offers a comprehensive analytical framework that integrates learning analytics, adaptive learning systems, problem-solving skills, and sustainable education, which have largely been examined separately in prior reviews.
Mapping Learning Management System–Based Flipped Classroom Research Trends in Physics Education (2020-2025): A Bibliometric Analysis Panji Putra Islamaulana; Rahmatta Thoriq Lintangesukmanjaya; Dwikoranto Dwikoranto; Neisya Azaria Adinda Putri
Journal of Digitalization in Physics Education Vol. 2 No. 2 (2026): August
Publisher : Universitas Negeri Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26740/jdpe.v2i2.57189

Abstract

Objective: A bibliometric analysis was conducted to comprehensively map publication trends, conceptual structures, shifts in research focus, and knowledge gaps regarding Learning Management System (LMS)-based flipped classrooms in physics education between 2020 and 2025. Method: A quantitative descriptive approach was employed via bibliometric analysis guided by the PRISMA 2020 screening protocol. We processed 239 documents retrieved from the Scopus database using Scopus Web Analytics for statistical performance analysis and science mapping techniques. Results: Findings indicate that annual publication dynamics fluctuated but rebounded in 2025, accumulating 2,872 citations and an h-index of 24. The research's conceptual network is divided into seven main clusters representing the relationships between flipped classroom pedagogy, e-learning, and learning analytics. A thematic evolution map reveals a paradigm shift from emergency adaptation responses to remote learning (2020–2021) toward the utilization of data analytics, the development of critical thinking skills, and self-regulated learning (2024–2025). Novelty: This research maps the LMS as a conceptual dimension integrated with the pedagogical characteristics of physics education, particularly in supporting the learning of abstract physics concepts. These findings expand understanding of flipped classroom evolution by showing the trajectory of LMS development from mere digital learning infrastructure to environments that support pre-class diagnostic quizzes, interactive simulations (such as PhET), learning analytics, and the cultivation of critical thinking and self-regulated learning skills. Consequently, this study provides a conceptual foundation for developing LMS-based flipped classroom designs that are more adaptive and aligned with the specific characteristics of physics learning.