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DIGITAL TRANSFORMATION AND ARTIFICIAL INTELLIGENCE IN IMPROVING LEARNING EFFECTIVENESS Agus Kurniawan; Erwin Yulianto
INTERNATIONAL JOURNAL OF SOCIETY REVIEWS Vol. 3 No. 7 (2026): INTERNATIONAL JOURNAL OF SOCIETY REVIEWS (INJOSER)
Publisher : Adisam Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5281/zenodo.21713248

Abstract

This research aims to analyze the role of digital transformation and artificial intelligence in enhancing learning effectiveness through a literature review. Research data were obtained from scientific articles, books, proceedings, and reports from official institutions relevant to digital transformation, artificial intelligence in education, adaptive learning, student engagement, and learning effectiveness. Literature was selected based on relevance, quality of sources, availability of complete texts, and publication priorities of the last five years. The analysis is carried out in the following stages: identification, screening, feasibility assessment, theme grouping, and narrative synthesis. The results of the study show that digital transformation and artificial intelligence can increase learning effectiveness through material personalization, intelligent tutoring systems, automated feedback, learning analytics, prediction of learning difficulties, and increased flexibility and student engagement. However, the effectiveness of its implementation is greatly influenced by teacher readiness, digital competence, pedagogical design quality, technological infrastructure, organizational culture, and institutional policy support. The study also found a number of challenges, including access gaps, algorithmic bias, personal data protection, academic integrity, technology dependence, and the potential for a decrease in critical thinking skills if AI is used unsupervised. Therefore, AI should be positioned as a supporting tool that strengthens the role of teachers, not as a substitute for educators' pedagogical, social, and emotional functions. This research confirms the importance of human-centered, inclusive, ethical, transparent, and sustainable AI integration models. The study's implications underscore the need to improve educators' digital competence, AI governance policies, equitable infrastructure distribution, and continuous evaluation so that digital transformation truly improves the quality and effectiveness of learning. In addition, further research needs to empirically test the longitudinal impact of AI across various levels of education, fields of study, learner characteristics, and social contexts.
STEM-BASED LEARNING FOR 21ST-CENTURY COMPETENCIES IN INDONESIA: INTEGRATING TECHNOLOGY, PEDAGOGY, AND EDUCATIONAL INNOVATION Neneng Hayati; Erwin Yulianto
INJOSEDU: International Journal of Social and Education Vol. 3 No. 7 (2026): International Journal of Social and Education (INJOSEDU)
Publisher : Adisam Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5281/zenodo.23103082

Abstract

This study examines the role of STEM-based learning in developing 21st-century competencies in Indonesia through the integration of technology, pedagogy, and educational innovation. An integrative literature review approach was employed to identify, analyze, and synthesize relevant peer-reviewed literature, primarily indexed in Scopus. The analysis focused on technology integration, STEM pedagogical innovation, authentic and collaborative learning, higher-order thinking skills, and 21st-century competencies. The findings reveal that STEM education in Indonesia has increasingly shifted from content-oriented instruction toward interdisciplinary, student-centered, contextual, and problem-oriented learning. Project-based learning, problem-based learning, inquiry-based learning, and engineering design emerge as prominent pedagogical approaches supporting STEM implementation. These approaches contribute to the development of critical thinking, creativity, problem-solving, communication, collaboration, scientific literacy, and digital literacy. However, STEM implementation remains constrained by disparities in technological infrastructure, teacher readiness, interdisciplinary integration, and unequal implementation across educational contexts and regions. This study proposes an integrated conceptual framework consisting of Technology Integration → STEM Pedagogical Innovation → Authentic and Collaborative Learning → Higher-Order Thinking Skills → 21st-Century Competencies. The framework emphasizes that technology alone does not generate future-ready competencies; rather, its educational value depends on pedagogical transformation and meaningful learning experiences. The study provides conceptual implications for strengthening STEM education and directions for future empirical research in Indonesia.