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OPTIMALISASI MANAJEMEN SISWA DALAM MENINGKATKAN PRESTASI NON AKADEMIK MADRASAH ALIYAH NEGERI 1 LAMPUNG TIMUR Sri Ekowati
Hijri Vol 14, No 1 (2025): HIJRI
Publisher : Universitas Islam Negeri Sumatera Utara Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30821/hijri.v14i1.24463

Abstract

Student achievement is of great concern to society. Schools that are able to create student achievement are seen as positive schools, while schools that minimize student achievement are seen as negative schools. This research was designed using qualitative methods. The problem is discussed through field research at MAN 1 Lampung Timur to get thoughts related to optimizing student management in improving non-academic achievement. Research data were obtained by means of interviews, observations, and documentation studies. All data were analyzed, with interactive analysis through 3 activities, namely data reduction, data presentation, and conclusion drawing. The results showed that planning to improve non-academic achievement includes: (a) Identification of non-academic activities that are in accordance with the talents, interests and potential of students. (b) Socialization of non-academic activities. (c) Identification of supporting infrastructure for non-academic activities. Optimizing student management in improving non-academic achievement includes: (a) organizing non-academic activities that are in accordance with the talents, interests and potential of students. (b) encouraging student participation in organized non-academic activities. (c) grouping students in selected non-academic activities. (d) appointing non-academic activity coaches according to their competence. Evaluation of improving non-academics includes: (a) Written test. (b) Comparing the achievement of results.
Transforming Islamic Higher Education through Artificial Intelligence: A Conceptual Framework for Educational Management and Learning Innovation Umi Kulsum; Nurwinda Apriyani; Dewi Yanti; Sri Ekowati; Riskun Iqbal
Socratika: Journal of Progressive Education and Social Inquiry Vol. 3 No. 2 (2026)
Publisher : South Sulawesi Education Development

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58230/socratika.v3i2.684

Abstract

This study aimed to develop a conceptual framework explaining how artificial intelligence (AI) drives institutional transformation in Islamic higher education through the integration of educational management, learning innovation, research development, and Islamic ethical governance. The study employed a conceptual research design using a Systematic Literature Review (SLR), thematic synthesis, and conceptual synthesis. Relevant literature on artificial intelligence, higher education transformation, educational management, university governance, and Islamic higher education was reviewed following PRISMA 2020 principles. Thematic analysis involved open coding, axial coding, and selective coding, while Dynamic Capabilities Theory was used to interpret the relationships among the identified dimensions. The synthesis identified six interconnected dimensions of AI-driven institutional transformation: strategic leadership, institutional readiness, intelligent governance, learning innovation, research ecosystem transformation, and Islamic ethical governance. These dimensions were integrated into an AI-Driven Institutional Transformation Framework for Islamic Higher Education, positioning AI as a catalyst that reconfigures governance, learning, research, and organizational capacity while remaining guided by Islamic ethical principles. AI-driven transformation in Islamic higher education requires more than technological adoption. Sustainable transformation depends on the integration of technological capability, institutional readiness, strategic leadership, academic innovation, and Islamic ethical governance. The proposed framework provides a theoretical foundation for future empirical testing and practical guidance for responsible AI-based institutional transformation.