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The Story of Struggle and Hope: Narrative Accounts of Female STEM Students in Egyptian Higher Education Youssef, Tamer; Ahmet, Dina; Sayed, Yasser
Journal Emerging Technologies in Education Vol. 3 No. 3 (2025)
Publisher : Yayasan Pendidikan Islam Daarut Thufulah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/jete.v3i3.2236

Abstract

Baground. Women in science, technology, engineering, and mathematics (STEM) fields in Egypt continue to face persistent structural and socio-cultural challenges, despite policy efforts to promote gender equity in higher education. The experiences of female STEM students remain underrepresented in scholarly discourse, particularly from an emic, narrative perspective. Purpose. This study aims to explore the lived experiences, challenges, and aspirations of female undergraduate STEM students in Egyptian universities through narrative inquiry.Method. Drawing on in-depth, semi-structured interviews with 20 participants from three major public institutions, the research documents personal accounts of gender-based obstacles, including societal expectations, institutional biases, and limited access to mentorship. Thematic narrative analysis revealed two dominant storylines: struggle against systemic barriers and hope grounded in academic identity, family support, and peer solidarity.Results. Findings reveal two dominant narrative arcs: “struggle”-characterized by marginalization, institutional neglect, and gender bias-and “hope”-rooted in academic identity, peer solidarity, and personal resilience. Participants employed strategies such as informal mentorship, emotional self-regulation, and counter-stereotypical performance to navigate male-dominated academic spaces.Conclusion. The study concludes that while structural inequalities persist, female students actively construct pathways of persistence, agency, and transformation within STEM fields. These findings provide valuable insights for educators, policymakers, and institutional leaders aiming to foster inclusive and supportive environments in STEM education.
Modern Mosque Architecture and its Impact on Islamic Identity: A Study of Mosques in European Countries Putra, Sudarmadi; Youssef, Tamer; Ahmed, Dina; Jasafat, Jasafat
Journal of Noesantara Islamic Studies Vol. 2 No. 2 (2025)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/jnis.v2i2.1850

Abstract

The increasing presence of Islam in Europe has led to the emergence of modern mosque architecture, raising questions about its impact on Islamic identity. This study examines how modern architectural styles influence the perception and experience of Islamic identity within European Muslim communities. This research aims to analyze the architectural features of selected modern mosques in Europe and explore how these features interact with the construction and negotiation of Islamic identity among worshippers. Employing a qualitative research methodology, this study conducts case studies of several prominent modern mosques in various European countries. Data collection involves site visits, architectural analysis, and semi-structured interviews with mosque attendees and community leaders. The study analyzes the interplay between modern architectural aesthetics, traditional Islamic architectural elements, and the evolving interpretations of Islamic identity in a European context. Some mosques prioritize minimalist designs and contemporary materials, while others incorporate subtle Islamic motifs within modern frameworks. The study concludes that modern mosque architecture in Europe serves as a dynamic space where Islamic identity is negotiated and expressed in diverse ways, reflecting the complex interplay between tradition, modernity, and the specific socio-cultural contexts of European Muslim communities.
AN AUTOMATED FEED MANAGEMENT SYSTEM FOR HIGH-DENSITY CATFISH AQUACULTURE USING ACOUSTIC SENSORS AND MACHINE LEARNING Kamal, Mai; Abdallah, Mona; Youssef, Tamer
Techno Agriculturae Studium of Research Vol. 2 No. 6 (2025)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/agriculturae.v2i6.2962

Abstract

The rapid expansion of high-density catfish aquaculture has increased the demand for efficient and precise feed management systems to optimize growth performance, reduce feed waste, and maintain water quality. Conventional feeding practices largely depend on fixed schedules and visual estimation, which often result in overfeeding or underfeeding, leading to increased production costs and environmental degradation. Recent advances in sensing technologies and artificial intelligence offer new opportunities to transform aquaculture management through data-driven and automated approaches. The purpose of this study is to develop and evaluate an automated feed management system for high-density catfish aquaculture by integrating acoustic sensors and machine learning algorithms. The system aims to accurately detect feeding activity and dynamically regulate feed delivery based on real-time fish behavior. This study employed a research and development design combined with experimental field testing. Acoustic sensors were deployed in catfish ponds to capture underwater sound patterns associated with feeding behavior. The collected acoustic data were processed using machine learning models to classify feeding intensity and determine optimal feeding duration. System performance was evaluated through accuracy testing, feed efficiency analysis, and comparative assessment against conventional feeding methods. The results show that the proposed system successfully identified feeding activity with high classification accuracy and significantly reduced feed waste compared to manual feeding practices. Feed conversion ratios improved, and water quality indicators remained more stable due to reduced excess feed accumulation. In conclusion, the automated feed management system demonstrates strong potential as an intelligent aquaculture solution for high-density catfish farming. By integrating acoustic sensing and machine learning, the system enhances feeding precision, supports sustainable aquaculture practices, and contributes to increased productivity and environmental efficiency.