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Character Education in Science Learning Based on Islamic Civilization at Madrasah Karep; Dadang
Jurnal Penelitian Pendidikan IPA Vol 11 No 9 (2025): September
Publisher : Postgraduate, University of Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jppipa.v11i9.12566

Abstract

This study explores the integration of character education in science (IPA) learning based on Islamic civilization at MAN 1 Ogan Komering Ulu Selatan. The research aims to analyze how Islamic values and the legacy of Muslim scholars are embedded in science instruction to foster students’ moral and intellectual development. Using a qualitative descriptive approach, data were collected through interviews with teachers, students, and school leaders, classroom observations, and document analysis. The findings reveal that the integration of ayat kauniyah, the contributions of Muslim scientists such as Al-Jazari and Banu Musa, and value-based practices effectively promote character traits including religiosity, honesty, responsibility, and environmental awareness. Teaching strategies such as storytelling, role modeling, and habituation support the internalization of Islamic values within the science curriculum. However, challenges persist, including limited teacher capacity, inadequate learning resources, insufficient facilities, and low parental involvement. The study concludes that a holistic, tawhid-based approach to science education can cultivate insan kamil—individuals who are both scientifically competent and morally upright.
Digital Leadership in Educational Institutions: Media Management Strategies for 21st-Century Science Education Syarip; Dadang
Jurnal Penelitian Pendidikan IPA Vol 11 No 9 (2025): September
Publisher : Postgraduate, University of Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jppipa.v11i9.12567

Abstract

This study explores the role of digital leadership in educational institutions as a strategic driver for effective media management in 21st-century science education. The research aims to identify key strategies through which school leaders can leverage digital tools to enhance teaching quality, foster innovation, and improve student outcomes. Using a systematic literature review, ten relevant studies were analyzed to understand the implementation, challenges, and impacts of digital leadership. The findings reveal that digital leadership is not merely the adoption of technology but a transformative process involving vision, infrastructure development, teacher empowerment, and systemic change. Effective leaders facilitate the integration of innovative media such as Canva-based video learning and gamified Learning Management Systems, contributing to the development of critical thinking, collaboration, and creativity (4C skills). However, challenges persist, including inadequate digital infrastructure—only 35% of vocational schools have sufficient facilities—and limited digital literacy among educators. Successful implementation requires proactive leadership, policy support, continuous training, and multi-stakeholder collaboration. The study concludes that digital leadership is essential for creating adaptive, inclusive, and future-ready learning environments in science education.
Adaptive Management Model for the Development of AI-Based Science Learning Media and IoT in The Society 5.0 Era: A Literature Study Syarip; Dadang
Jurnal Penelitian Pendidikan IPA Vol 11 No 12 (2025): December
Publisher : Postgraduate, University of Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jppipa.v11i12.13819

Abstract

The transition from Industry 4.0 to Society 5.0 has transformed educational paradigms, particularly in science education, necessitating adaptive management approaches to integrating advanced technologies. This literature study examines the adaptive management model for developing AI and IoT-based science learning media in the Society 5.0 era. Through systematic analysis of 10 peer-reviewed articles from 2020–2025 sourced from Google Scholar, Scopus, and ERIC databases, this research identifies critical components, challenges, and opportunities in technology-integrated science education. Findings reveal that AI enables personalized science learning through adaptive algorithms and data analytics, while IoT facilitates real-time experiential learning through connected laboratory equipment and environmental sensors. The proposed adaptive management model integrates technological infrastructure, teacher competency development, curriculum alignment, and ethical considerations to create responsive science learning ecosystems. Key challenges include digital divides, infrastructure limitations, and balancing technology with humanistic educational values. This model offers significant implications for enhancing scientific literacy, experiential learning, and 21st-century skills development in science classrooms. The research contributes a conceptual framework for educational stakeholders to implement adaptive, technology-enhanced science education aligned with Society 5.0 principles.