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STUDENT AGENCY IN AI-POWERED LEARNING ENVIRONMENTS: EMPOWERING LEARNERS THROUGH TECHNOLOGY Mobiliu, Pitriyani; Lee, Ava; Yahiji, Kasim
Al-Hijr: Journal of Adulearn World Vol. 5 No. 2 (2026)
Publisher : Sekolah Tinggi Agama Islam Al-Hikmah Pariangan Batusangkar, West Sumatra, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55849/alhijr.v5i2.1268

Abstract

The integration of Artificial Intelligence (AI) in education is reshaping how students interact with learning materials and take control of their educational journeys. AI-powered learning environments promise to enhance student agency by providing personalized learning experiences and immediate feedback. However, the impact of AI on student autonomy and the teacher-student dynamic remains underexplored. This study aims to investigate how AI technologies influence student agency in learning environments and how these tools empower learners to become more self-directed. A mixed-methods approach was employed, using surveys, interviews, and classroom observations across 10 schools that have adopted AI tools for learning. The results reveal that AI-powered tools significantly enhance student engagement and learning outcomes by offering personalized content, yet students expressed concerns about reduced opportunities for collaboration and human interaction. Teachers observed increased autonomy in students, but some raised concerns about AI’s potential to depersonalize the learning experience. The study concludes that while AI can effectively empower students, it is essential to strike a balance between the technological benefits and the need for human connection in the learning process. AI should complement, not replace, traditional pedagogical practices to foster a more holistic educational experience.
THE SOCIOLOGY OF ISLAMIC RITUALS: EXAMINING THE ROLE OF RELIGION IN SHAPING SOCIAL BEHAVIOR Khoiriyah, Khoiriyah; Tan, Ethan; Lee, Ava
Journal of Noesantara Islamic Studies Vol. 3 No. 1 (2026)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/jnis.v3i1.3403

Abstract

Religion has long been a fundamental force in shaping social behavior, with Islamic rituals playing a central role in structuring moral and social conduct within Muslim communities. This study investigates the sociological dimensions of key Islamic rituals, including Salah (prayer), Sawm (fasting), Zakat (charity), and Hajj (pilgrimage), exploring how these practices influence individual and collective behavior. The aim of the research is to examine how Islamic rituals function as mechanisms for social cohesion, moral regulation, and identity formation. A qualitative research design was employed, utilizing semi-structured interviews and participant observation among Muslim individuals from diverse backgrounds. The findings indicate that these rituals not only foster personal spiritual growth but also strengthen social bonds, promote social responsibility, and encourage ethical conduct. Participants reported that Salah reinforced community unity, while Sawm and Zakat increased empathy and social responsibility. Hajj was viewed as a transformative experience, creating a sense of global Muslim identity. The study concludes that Islamic rituals are vital tools for fostering social solidarity and regulating social behavior, highlighting their dual role in personal devotion and community building. Understanding the sociological implications of these rituals provides valuable insights into the relationship between religion and society.
ELECTROMECHANICAL SYNERGY: ADVANCED MODELING OF COUPLED ELECTRICAL–MECHANICAL ENERGY SYSTEMS Rusman, Rusman; Lee, Ava; Williams, Sarah
Journal of Moeslim Research Technik Vol. 3 No. 1 (2026)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/technik.v3i1.3375

Abstract

Electromechanical energy systems increasingly underpin modern transportation, industrial automation, and renewable power technologies, yet their behavior is often modeled through simplified decoupled approaches that overlook dynamic interaction between electrical and mechanical domains. This study aims to develop and evaluate an advanced modeling framework that explicitly represents electromechanical synergy as a bidirectional and nonlinear energy exchange process. The research employs a quantitative, model-driven methodology integrating electromagnetic equations, mechanical dynamics, and coupling coefficients within a unified simulation environment. Representative electromechanical systems are analyzed under steady-state and transient operating conditions to assess model accuracy and system behavior. The results demonstrate that coupled modeling significantly improves predictive accuracy for torque response, angular velocity, vibration behavior, and system stability compared to conventional decoupled models. The findings also reveal that coupling effects intensify during transient excitation and load variation, confirming the central role of interaction dynamics in system performance. The study concludes that electromechanical systems should be treated as integrated energy structures rather than isolated subsystems. Advanced coupled modeling provides a robust analytical foundation for design optimization, control development, and reliability assessment in complex energy systems. These contributions support future interdisciplinary research and facilitate practical implementation across emerging electromechanical applications worldwide in diverse industrial academic settings.