Middle East Journal of Applied Science & Technology

Volume 9 Issue 2 April-June 2026

Current Issue


Research Article

Lived Experiences of Criminology Faculty Teaching in Industrial Security Management Program

Carolyn E. Fernandez, Bernaflor B. Canape & Jose F. Cuevas Jr.

Page No. 01-19

 Abstract: Background: This study explored the lived experiences of Criminology faculty members who teach BSISM courses. It focused on understanding how faculty navigate the demands of teaching Industrial Security Management (ISM) subjects within the province of Misamis Occidental, Philippines. The study highlights the importance of supportive relationships, institutional resources, and conducive learning environments in shaping teaching effectiveness and faculty adjustment. Aims: This study aims to explore how criminology faculty members cope with, adjust to, and experience teaching ISM subjects. Methods: The study employed a qualitative phenomenological research design. It was conducted among 15 criminology faculty members who are currently teaching or have previously taught ISM courses, selected based on the inclusion criterion of relevant teaching experience. Data collection continued until saturation was reached, meaning no new significant themes emerged. Data were analyzed using Moustakas’ method of data analysis. Tool: Data were collected using an interview guide questionnaire designed to elicit participants lived experiences and insights regarding teaching ISM courses. Results: The study revealed six major themes that describe the lived experiences of criminology faculty teaching ISM courses. Faculty members experienced physical and mental fatigue, highlighting the body as a site of strain due to the demands of teaching unfamiliar or specialized subjects. Despite these challenges, they demonstrated adaptability and strong emotional investment in their teaching roles. They also navigated present demands while finding personal fulfillment in their teaching journey. The classroom environment emerged as a significant factor influencing both teaching and learning experiences. Additionally, supportive relationships with colleagues and administrators played a crucial role in enhancing their teaching effectiveness. Technology was identified as an important enabler of effective instruction, while purpose-driven engagement and motivation helped sustain their commitment to teaching ISM. Overall, the findings emphasize the importance of institutional support, adequate resources, and positive learning environments in fostering faculty adjustment and effectiveness.

DOI: Under Assignment


Research Article

The Ethical, Social and Philosophical Foundations of the Relationship Between the State and Society in Western Philosophical Thought

Ibragimov Mirfayz Ikrom Ugli

Page No. 20-25

 Abstract: This article analyzes the issue of the relationship between the state and society in Western philosophical thought from a historical and philosophical perspective. It examines the views of ancient Greek thinkers such as Socrates, Plato, and Aristotle, as well as the socio-political ideas of modern philosophers including Hobbes, Rousseau, and Voltaire. In addition, the essence of the state, its role in society, and the interrelationship between the individual, society, and the state are explored. Furthermore, theoretical approaches formed in different historical periods are comparatively analyzed, and their common and distinctive features are identified.

DOI: Under Assignment


Research Article

Design, Development, and Large-Scale Experimental Evaluation of a Multilingual, Header-Aware, Course-Centric Intelligent Attendance Management and Automated Academic Report Generation Framework for Higher Education Institutions

Nayyar Ahmed Khan, Mohammad Ahmad, Rim Hamdoui, Asif Rashid Khan, Sivaram Rajeyyagari, Md. Mobin Akhtar & Ahmad Masih Uddin Siddiqi

Page No. 26-39

 Abstract: Attendance tracking is a fundamental aspect of educational management systems. This paper presents the development and implementation of an intelligent attendance management system capable of processing student attendance data from Excel spreadsheets and generating formatted reports in multiple document formats. The system implements automatic header detection supporting both Arabic and English languages, intelligent data normalization, and course-wise student grouping. The proposed system was tested on real student data from multiple courses, demonstrating an average processing efficiency of 95% with minimal manual intervention. Results show significant improvements in attendance management workflow automation, reducing administrative overhead by 70% compared to manual processing. The system supports flexible metadata management and automated document generation in DOCX and PDF formats, making it suitable for integration into existing university information systems.

DOI: Under Assignment


Research Article

A Microservices-Based Optical Mark Recognition Framework with Advanced Image Processing and Cloud-Native Architecture for Scalable Educational Assessment

Nayyar Ahmed Khan, Mohammad Ahmad, Rim Hamdoui, Asif Rashid Khan, Sivaram Rajeyyagari, Md. Mobin Akhtar & Ahmad Masih Uddin Siddiqi

Page No. 40-49

 Abstract: This article presents a comprehensive LaTeX manuscript detailing the design, implementation, and evaluation of an automated Optical Mark Recognition (OMR) system for efficient and accurate multiple-choice question (MCQ) assessment. The system integrates advanced computer vision techniques, a user-friendly web interface, cloud-ready deployment strategies, and robust evaluation pipelines to minimize manual grading efforts, enhance consistency, and enable scalable academic workflows. By leveraging image preprocessing, template matching, and contour analysis, the OMR system accurately detects marked bubbles on scanned answer sheets, supporting both single and multiple-choice formats while incorporating quality assurance mechanisms. The methodology outlines a modular architecture encompassing image acquisition, preprocessing, answer recognition, evaluation, and reporting, with emphasis on security, auditability, and modularity. Experimental validation includes architecture and deployment diagrams, demonstrating high recognition accuracy (98\%) and efficient processing (1.3 seconds per sheet). Results are presented with performance tables and scalability diagrams, showing reliable operation under varying loads. The literature review integrates 41 references from the author's bibliography, covering intelligent systems, cloud applications, AI optimization, and educational technologies. Conclusion and discussion highlight the system's benefits for academic institutions, while future work explores AI enhancements, federated learning, and blockchain integration. This work contributes to the field of automated educational assessment by providing a complete, referenced manuscript that bridges traditional paper-based exams with modern digital evaluation paradigms.

DOI: Under Assignment


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