Article Per Year (5 Year)
p-Index From 2021 - 2026
2.804
P-Index
This Author published in this journals
All Journal World Psychology Journal of Computer Science Advancements Journal of Noesantara Islamic Studies Journal of Tecnologia Quantica Journal of Loomingulisus ja Innovatsioon Research of Scientia Naturalis Journal of Biomedical and Techno Nanomaterials Journal of Social Entrepreneurship and Creative Technology Journal of Humanities Research Sustainability Scientechno: Journal of Science and Technology Journal of Paddisengeng Technology Lingeduca: Journal of Language and Education Studies Journal of World Future Medicine, Health and Nursing International Journal of Educational Narratives Rechtsnormen: Journal of Law
Omar Khan
Kabul University
Religion Agriculture, Biological Sciences & Forestry Humanities Biochemistry, Genetics & Molecular Biology Chemistry Computer Science & IT Decision Sciences, Operations Research & Management Education Environmental Science Law, Crime, Criminology & Criminal Justice Physics Social Sciences Other

Published : 18 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 18 Documents
Search

 1   2 
Immersive History: Measuring the Impact of Virtual Reality (VR) on Empathy and Historical Retention Lucas Lima; Omar Khan; Thabo Mokoena
Journal of Paddisengeng Technology Vol. 2 No. 1 (2026)
Publisher : PT. Sinergi Bersahaja Sejahtera

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.65224/jopate.v2i1.244

Abstract

Background. Virtual Reality (VR) has emerged as an innovative educational technology that enables immersive learning experiences, particularly in history education where contextual understanding and perspective-taking are essential. Traditional instructional approaches often face limitations in fostering emotional engagement and sustaining long-term knowledge retention. Purpose. This study aims to examine the impact of VR on student empathy and historical retention, as well as to explore the relationship between immersive experience and learning outcomes in history education. Method. A quasi-experimental mixed-methods design was employed involving 104 students assigned to experimental (VR-based learning) and control (traditional instruction) groups. Data were collected through pretest–posttest assessments to measure retention, empathy questionnaires to assess affective responses, and qualitative reflections to capture students’ experiential insights. Quantitative data were analyzed using descriptive and inferential statistics, while qualitative data were examined through thematic analysis. Results. The findings indicate that VR significantly enhances both student empathy and historical retention compared to conventional instructional methods. A strong relationship is observed between immersive experience, emotional engagement, and improved memory outcomes. Empathy is identified as a mediating factor that strengthens the connection between immersion and knowledge retention. Conclusion. VR offers an effective pedagogical approach for integrating cognitive and affective dimensions of learning in history education. The results highlight the potential of immersive technologies to create meaningful and engaging learning experiences that support deeper understanding and long-term retention. Educators are encouraged to incorporate VR strategically to maximize both emotional engagement and academic achievement.
THE EFFECT OF PROJECT-BASED LEARNING ON 21ST CENTURY SKILLS IN MIDDLE SCHOOL STUDENTS IN INDONESIA Rashid Rahman; Chak Sothy; Yoga Anjas Pratama; Omar Khan
Lingeduca: Journal of Language and Education Studies Vol. 4 No. 1 (2025)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/lingeduca.v4i1.2125

Abstract

In the context of global educational transformation, the integration of 21st-century skills into learning practices has become imperative, particularly for preparing students to face complex challenges in the modern era. This study investigates the effect of Project-Based Learning (PjBL) on the development of 21st-century skills—critical thinking, collaboration, creativity, and communication—among middle school students in Indonesia. The objective of the research is to determine whether PjBL significantly enhances these competencies compared to conventional instructional methods. A quantitative approach with a quasi-experimental design was employed, involving two groups of Grade 8 students from a public middle school in West Java. The experimental group received instruction through PjBL, while the control group experienced traditional teaching. Data were collected using a 21st-century skills rubric and analyzed using independent sample t-tests. The findings revealed that students exposed to PjBL demonstrated significantly higher performance in all four skill domains. These results underscore the effectiveness of PjBL as a student-centered approach that fosters meaningful learning experiences aligned with real-world contexts. In conclusion, Project-Based Learning has a positive and significant impact on the enhancement of 21st-century skills in middle school students and is recommended for broader implementation in Indonesian education.
Social Isolation and Cognitive Decline in Aging Populations: AI-Powered Monitoring Systems for Early Detection Omar Khan; Clara Mendes; Marcus Tan; Ardi Azhar Nampira
Journal of World Future Medicine, Health and Nursing Vol. 3 No. 4 (2025)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/health.v3i4.2371

Abstract

Social isolation is a significant and modifiable risk factor for accelerated cognitive decline and dementia in aging populations. Traditional methods for detecting cognitive changes, such as clinical screenings, are often infrequent and fail to capture the subtle, early behavioral shifts that precede a formal diagnosis. This study aimed to develop and validate an artificial intelligence model designed for the early detection of cognitive decline by passively monitoring behavioral and vocal biomarkers of social isolation in older adults living independently. A 24-month, prospective longitudinal study was conducted with a cohort of 200 community-dwelling adults aged 70 and older. A suite of unobtrusive in-home sensors was used to passively collect data on movement patterns, social communication (frequency and duration of conversations), and computer/phone usage. The AI-powered system identified individuals who would later show clinically significant cognitive decline with an accuracy of 91% and a lead time of approximately 7 months before formal assessment. The model successfully distinguished between simple loneliness and the specific behavioral patterns of social withdrawal associated with cognitive impairment. AI-powered passive monitoring systems are a highly effective and ecologically valid tool for the pre-clinical detection of cognitive decline linked to social isolation.
Adapting Blended Learning Models in Post-Pandemic Education Systems Lucas Lima; Pedro Silva; Omar Khan
International Journal of Educational Narratives Vol. 3 No. 2 (2025)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/ijen.v3i2.2151

Abstract

Background. The COVID-19 pandemic has significantly disrupted traditional education systems, forcing a rapid transition to online learning. This transition has highlighted the need for flexible and adaptive teaching methods, making blended learning models increasingly relevant. Blended learning, which combines face-to-face and online education, has emerged as a potential solution for post-pandemic education systems. Purpose. This study aims to explore how blended learning models can be adapted and implemented in post-pandemic education systems to enhance student engagement, accessibility, and learning outcomes. A mixed-methods approach was used, combining surveys and interviews with educators and students across various educational institutions. Method. The data were analyzed to assess the effectiveness, challenges, and perceptions of blended learning in post-pandemic contexts. Results. The results indicate that while blended learning models are perceived positively, challenges such as technological limitations, teacher training, and student motivation remain significant. However, schools and universities that successfully integrated blended learning models reported improvements in flexibility, student satisfaction, and academic performance. Conclusion. The study concludes that blended learning has the potential to transform education systems by offering a more personalized, accessible, and adaptable learning experience. For successful implementation, ongoing professional development for educators and investment in technology infrastructure are crucial.  
Interdisciplinary Approaches in Legal Studies: Combining Social Science and Data Science Unggul Sagena; Haziq Idris; Aiman Fariq; Omar Khan; Sunarno Sunarno
Rechtsnormen: Journal of Law Vol. 2 No. 4 (2024)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/rjl.v2i4.1258

Abstract

Background. The integration of interdisciplinary approaches in legal studies is increasingly recognized as essential for addressing complex societal issues. Combining social science and data science offers innovative ways to analyze legal phenomena, providing deeper insights and more robust solutions. Purpose. This study aims to explore the benefits and challenges of integrating social science and data science in legal studies. The research seeks to identify effective interdisciplinary methodologies, evaluate their impact on legal research outcomes, and propose frameworks for their implementation in legal academia and practice. Method. A mixed-methods research design was employed, utilizing both qualitative and quantitative approaches. The study involved a literature review, case studies, and expert interviews to gather insights into existing interdisciplinary practices. Additionally, data analysis techniques from social and data sciences were applied to legal datasets to demonstrate the potential of these methods in enhancing legal research. Results. The findings indicate that integrating social science and data science in legal studies significantly enhances the analytical depth and breadth of legal research. Case studies revealed successful applications of interdisciplinary methods in areas such as criminal justice, human rights, and regulatory compliance. Conclusion. The study concludes that interdisciplinary approaches combining social science and data science hold great promise for advancing legal studies. Implementing these methodologies can lead to more informed legal analyses, better policy recommendations, and enhanced legal education.
Digital Governance and Privacy: Revisiting Legal Protections under Expanding Surveillance Systems Clara Mendes; Rafaela Lima; Omar Khan
Rechtsnormen: Journal of Law Vol. 4 No. 2 (2026)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/rjl.v4i2.3735

Abstract

Background. The rapid advancement of digital surveillance technologies in the age of big data has raised significant concerns regarding privacy rights and state power. As governments and corporations increasingly rely on digital surveillance to enhance security and gather data, the implications for personal privacy have become more complex. Purpose. The study aims to assess the adequacy of current legal frameworks in balancing the demands of security with the protection of individual freedoms.   Method. A qualitative methodology was employed, involving an analysis of international legal documents, case law, and expert interviews. Results. The findings indicate that existing laws, while addressing privacy to some extent, often lack enforceability and fail to effectively limit state surveillance powers. Conclusion. This study concludes that stronger, more adaptive legal frameworks are necessary to ensure privacy protection while accommodating legitimate state surveillance needs. The research contributes to the growing discourse on the intersection of law, technology, and human rights, offering recommendations for reforming legal safeguards in the digital age.
THE IMPACT OF CLIMATE CHANGE ON EMERGING INFECTIOUS DISEASE PATTERNS: GLOBAL MITIGATION STRATEGIES FOR 2030 Fitriah Handayani; Omar Khan; Khalil Zaman
Journal of World Future Medicine, Health and Nursing Vol. 4 No. 4 (2026)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/health.v4i4.4212

Abstract

Climate change increasingly reshapes environmental conditions that influence the emergence, transmission, and geographic distribution of infectious diseases, creating significant challenges for global public health systems. This study aimed to examine the impact of climate change on emerging infectious disease patterns and to evaluate the effectiveness of global mitigation strategies through the integration of climate adaptation, environmental governance, healthcare preparedness, and One Health implementation. A mixed-methods sequential explanatory design was employed using epidemiological and environmental datasets from 72 countries. Quantitative analyses included descriptive statistics, structural equation modeling, spatial regression, time-series analysis, mediation and moderation analyses, whereas qualitative evidence was collected through semi-structured interviews, policy reviews, institutional observations, and document analysis. Findings revealed that climate vulnerability significantly increased emerging infectious disease incidence, while environmental degradation accelerated vector expansion and zoonotic spillover risks. Healthcare preparedness partially mediated the relationship between climate adaptation policies and disease control, whereas One Health implementation strengthened mitigation effectiveness through enhanced surveillance and intersectoral collaboration.  
ISLAMIC FEMINISM: REVISITING GENDER ROLES AND WOMEN’S RIGHTS IN CONTEMPORARY MUSLIM SOCIETIES Lucas Lima; Omar Khan; Razia Khan; Lala Khoironi Lutfi
Journal of Noesantara Islamic Studies Vol. 3 No. 4 (2026)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/jnis.v3i4.4290

Abstract

Islamic feminism has become an important framework for examining the relationship between religious interpretation, gender justice, and women’s rights in contemporary Muslim societies. This study aimed to analyze how Islamic feminist perspectives reinterpret gender roles and evaluate the extent to which these interpretations influence legal recognition, institutional practice, and women’s lived experiences. A qualitative comparative multiple-case design was employed across Indonesia, Malaysia, Morocco, and Tunisia. Data were collected through forty-eight semi-structured interviews, eight focus group discussions, and analysis of sixty scholarly, legal, religious, policy, and civil society documents. Thematic and cross-case analyses revealed that most participants distinguished Islamic ethical principles from patriarchal customs and supported contextual interpretations grounded in justice, dignity, reciprocity, and shared responsibility. Findings also showed a persistent gap between formal rights and women’s practical ability to exercise them, particularly in relation to family decision-making, employment, leadership, legal remedies, and religious authority. These disparities were shaped by legal literacy, financial resources, institutional access, social class, and cultural expectations. The study concludes that Islamic feminism is most effective when theological reinterpretation is connected with legal reform, institutional accessibility, and women’s social agency.    
Co-Authors Aiman Fariq Amalia Hanifa Amin Zaki Amir Raza Ardi Azhar Nampira Arif Muzayin Shofwan Bassam Al-Khouri Chak Sothy Clara Mendes Dito Anurogo Ediaman Sitepu Fitriah Handayani Haziq Idris Jamil Khan Khalil Zaman Lala Khoironi Lutfi Loso Judijanto Lucas Lima Lucas Lima M Syahputra Marcus Tan Pedro Silva Rafaela Lima Rahmawati Rahmawati Rashid Rahman Razia Khan Rifki Zaitul Ikhlas Roya Zahir Ruhiat Susanto Safiullah Aziz Siti Shofiah Sunarno Sunarno Thabo Mokoena Unggul Sagena Vanna Sok Vinto Rizalfi Yoga Anjas Pratama