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Blended Learning in Post-COVID-19 Education: Evaluating Benefits, Challenges, and Long-Term Impacts on Students Sain, Zohaib Hassan; Aziz, Aulia Luqman; Sain, Shahzadi Hina
International Journal of Education, Management, and Technology Vol 2 No 3 (2024): International Journal of Education, Management, and Technology
Publisher : Darul Yasin Al Sys

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58578/ijemt.v2i3.3992

Abstract

The COVID-19 pandemic significantly disrupted traditional education, prompting a rapid shift toward blended learning. This study explores the efficacy of blended learning as a sustainable educational model in the post-COVID-19 era, focusing on flexibility, engagement, and accessibility challenges. This research aims to evaluate the benefits, challenges, and long-term impacts of blended learning, particularly in terms of student performance and teacher preparedness. A mixed-methods approach was adopted, combining quantitative data from 400 students through surveys and qualitative insights from 20 semi-structured interviews with educators and administrators. Quantitative analysis included descriptive statistics, correlation analysis, and multiple regression analysis, while qualitative data was analyzed using thematic analysis in NVivo software. The findings revealed that 87% of students appreciated the flexibility of blended learning, and there was a strong correlation between satisfaction and engagement (r = 0.72). However, 38% of students faced challenges with technology access, highlighting the digital divide. Educators emphasized the need for continuous professional development to implement blended learning effectively. In conclusion, blended learning offers significant advantages but requires improved accessibility and teacher support for long-term success. The research implications suggest that policymakers and institutions should prioritize equitable access to technology and ongoing teacher training to fully leverage the potential of blended learning in future educational models.
The Role of Innovation Management in Driving Educational Technology Adoption in Emerging Economies Elbadiansyah, E.; Sain, Zohaib Hassan; Aziz, Aulia Luqman; Thelma, Chanda Chansa; Abdullah, Nurul Annisa
International Journal of Humanities, Education, and Social Sciences Vol 3 No 1 (2025): International Journal of Humanities, Education, and Social Sciences
Publisher : Darul Yasin Al Sys

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58578/ijhess.v3i1.4260

Abstract

The rapid socio-economic changes in emerging economies demand integrating educational technologies to improve learning outcomes and prepare students for the globalized economy. The successful adoption of these technologies relies on effective innovation management, which must address challenges such as limited infrastructure and varying technological literacy levels. This research investigates the role of innovation management in facilitating the adoption of educational technologies in emerging economies. It aims to identify strategies to overcome barriers to technology integration in education and analyze their impact on academic outcomes. A mixed-methods approach was employed, combining quantitative data from global databases such as the World Bank's EdStats and UNESCO's Institute for Statistics with qualitative insights from interviews and case studies in selected emerging economies, including India, Kenya, Brazil, and Nigeria. Statistical analyses revealed a positive correlation between the Innovation Support Index and the Educational Technology Adoption Rate. For instance, India and Brazil demonstrated higher adoption rates (78% and 80%, respectively) corresponding to robust innovation support systems. In contrast, countries with lower innovation indices, like Nigeria, showed significantly lower adoption rates (50%). The study concludes that strategic innovation management is critical for driving the successful adoption of educational technologies in emerging economies. It emphasizes the need for policymakers and academic leaders to prioritize the development of innovation support systems to foster a conducive environment for technology integration. Strengthening innovation support systems significantly enhances the adoption of educational technologies, offering a pathway to improved educational equity and economic growth in these regions.
The Implementation of Technology in Physical Education Learning for Elementary School Students: Challenges and Opportunities Elbadiansyah, Elbadiansyah; Aziz, Aulia Luqman; Sain, Zohaib Hassan; Lawal, Uthman Shehu
ALSYSTECH Journal of Education Technology Vol 3 No 2 (2025): ALSYSTECH Journal of Education Technology
Publisher : Lembaga Yasin AlSys

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58578/alsystech.v3i2.4934

Abstract

The implementation of technology in physical education learning at elementary schools is an innovative step to enhance the effectiveness and efficiency of the learning process. Technology offers broader accessibility, increases student engagement, and supports the development of digital skills. However, its implementation faces various challenges, such as technological disparities, resistance to change, limited resources, data security issues, and the potential for over-reliance on technology. With support from the government, schools, and communities, technology can be integrated in a balanced manner, serving as a supporting tool to achieve the goals of physical education without compromising its essence.
Ethics of AI Integration in Higher Education: Exploring Moral Dimensions Sain, Zohaib Hassan; Aziz, Aulia Luqman; Lawal, Uthman Shehu
Journal of Asian Islamic Educational Management (JAIEM) Vol 2, No 1 (2024)
Publisher : Gemilang Maju Publikasi Ilmiah (GMPI)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53889/jaiem.v2i1.431

Abstract

In the ever-growing role of artificial intelligence in academic settings, the imperative to address ethical concerns has become paramount. This article delves into a comprehensive analysis of ethical perspectives surrounding AI in higher education, specifically focusing on ensuring equitable access to education, safeguarding student data privacy, and understanding the social implications of teaching automation. The methodological approach involves an extensive review of AI ethics in higher education, supplemented by examining case studies illustrating specific ethical scenarios. The findings highlight the intricate ethical dilemmas associated with AI implementation, revealing tensions between optimising educational processes and preserving equity and autonomy. The research extends to explore the moral obligations of academic institutions, technology developers, and educators engaged in AI integration. The article concludes by emphasising the urgent need for robust ethical frameworks and transparent policies for guiding AI implementation in higher education. This ensures a delicate balance between the advantages of technology and the protection of fundamental moral values.
REIMAGINING THE DIGITAL ORACLE: AN AFRICAN PHILOSOPHICAL AND THEOLOGICAL CRITIQUE OF ARTIFICIAL INTELLIGENCE Folaranmi, Bukola Abosede; Agoi, Moses Adeolu; Sain, Zohaib Hassan; Sain, Shazadi Hina; Aziz, Aulia Luqman
Srawung: Journal of Social Sciences and Humanities [IN PRESS] Vol. 4 Issue 4 (2025)
Publisher : jfpublisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56943/jssh.v4i4.869

Abstract

The emergence of artificial intelligence (AI) as a source of insight invites its characterization as a "digital oracle," a metaphor with particular resonance in Africa where traditions of divination are deeply embedded. This analogy, however, raises critical questions regarding the understanding, legitimacy, and governance of such systems. This paper employs a multidisciplinary approach, integrating contemporary AI ethics with African philosophy and religious perspectives, to analyze this metaphor. Using the prophetic figure central to Yoruba Ifá divination as a comparative framework, we contrast the communal, symbolically interpreted guidance of traditional oracles (Bascom, 1969) with AI's data-driven predictions, which often lack moral authority and community accountability. In response, we propose that the Ubuntu philosophy, grounded in relational humanity and moral duty, provides a vital corrective. The analysis is structured around four lenses: (1) epistemic opacity and interpretive authority; (2) relational personhood and communal responsibility; (3) spiritual and moral discernment; and (4) decolonial governance. We argue that AI should not be considered an autonomous philosophical oracle but can serve as a valuable decision-support tool when consciously embedded within robust systems of ethics, interpretation, and community. The paper concludes by advocating for AI development guided by Ubuntu ethics, the inclusion of religious thought, and formal decolonial governance. This approach seeks to transform AI into a context-aware tool that serves humanity, rather than an unaccountable digital predictor.
DECODING THE SACRED: ARTIFICIAL INTELLIGENCE AND THE SYMBOLIC KNOWLEDGE STRUCTURES OF AFRICAN TRADITIONAL RELIGION Agoi, Moses Adeolu; Folaranmi, Bukola Abosede; Sain, Zohaib Hassan; Aziz, Aulia Luqman; Sain, Shahzadi Hina
Srawung: Journal of Social Sciences and Humanities [IN PRESS] Vol. 4 Issue 4 (2025)
Publisher : jfpublisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56943/jssh.v4i4.870

Abstract

African Traditional Religion (ATR) is based on symbolic systems that reflect cosmology, ethics, spirituality and social order, which are represented through divination, rituals, proverbs, sacred objects as well as texts such as Yoruba Ifa verses. Scholars nowadays focus not only on their multivocal character but also on their epistemic and moral functions: symbols act as organs of knowledge no less than objects of cultural artefacts. AI tools, by symbolically representing that knowledge, through ontologies and explainable learning, provide means to decode, and maintain such sacred systems cultural sensitively. Indicatively, the article Preserving Indigenous Knowledge: Leveraging Digital Technology and Artificial Intelligence describes the way interactive platforms and AI-based applications preserve indigenous knowledge, without violating cultural guidelines and intellectual property rights. Using Classical Machine Learning and Deep Learning, Adinkra Symbol Recognition in Ghana was highly accurate in classifying Adinkra symbols. The results of the studies indicate that AI can improve preservation, access, and learning; however, it is unable to reproduce spiritual intention and group validation. Such ethical concerns as reductionism, digital colonialism, and cultural ownership are not new to the recent literature. This paper thus suggests an alternative approach in which AI would be used to supplement AIR custodianship to make sure that the knowledge is not stale, but dynamic, secure, and useful in the digital era.
DESIGNING DIGITAL LEARNING FRAMEWORKS FOR PAKISTANI SCHOOLS: A PRACTICAL APPROACH Sain, Shazadi Hina; Sain, Zohaib Hassan; Aziz, Aulia Luqman; Abdullah, Nurulannisa
Srawung: Journal of Social Sciences and Humanities [IN PRESS] Vol. 4 Issue 4 (2025)
Publisher : jfpublisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56943/jssh.v4i4.871

Abstract

The integration of digital technologies into education has emerged as a transformative strategy for addressing challenges in Pakistani private schools. This research investigates the effectiveness of digital tools in designing inclusive and impactful learning plans, employing theoretical frameworks such as TPACK, SAMR, and the 5E instructional model. The study examines how these tools enhance curriculum delivery and student engagement, with a specific focus on platforms like Padlet, Nearpod, and FigJam. This qualitative research utilised a sample of 20 Grade 2 students and 31 teachers from private schools, chosen for their established yet diverse technological infrastructure. The mixed-methods approach included surveys, semi-structured interviews, and classroom observations to evaluate the application and impact of digital technologies. The study also explored how these tools align with educational objectives and cater to varying learner needs. Key findings reveal that digital technologies significantly enhance collaboration, critical thinking, and differentiated learning experiences, particularly benefiting visual and auditory learners. However, challenges such as inconsistent internet access, limited resources, and varying teacher competencies were identified. The research proposes actionable strategies to address these barriers, including professional development for educators, improved infrastructure, and tailored digital solutions. This study highlights the critical role of digital tools in fostering scalable and inclusive learning environments. It underscores the need for sustained investment in technology integration and teacher training to ensure equitable access and maximise the potential of digital education in resource-constrained contexts. Future implications suggest adopting innovative models and policies to bridge digital divide and enhance learning outcomes across diverse educational settings.
EVALUATING THE IMPACT OF DIGITAL TRANSFORMATION ON PUBLIC SERVICE DELIVERY EFFICIENCY AND ACCOUNTABILITY Sain, Zohaib Hassan; Aziz, Aulia Luqman; Lawal, Uthman Shehu; Abdullah, Nurulannisa; Sain, Shazadi Hina
Acitya Wisesa: Journal of Multidisciplinary Research [IN PRESS] Vol. 4 Issue 4 (2025)
Publisher : jfpublisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56943/jmr.v4i4.868

Abstract

The digital revolution transforms public administration, notably service delivery efficiency and accountability. According to this study, the digital tools and platforms used by governments worldwide impact public service delivery efficiency and accountability. This study examines how digital technologies like e-governance and data analytics influence public sector operations and how organisational culture and leadership might offset these effects. A mixed-approaches design employing qualitative and quantitative methods achieved research aims. Semi-structured interviews and focus groups with public sector workers and others produced qualitative data, while surveys and secondary data analysis acquired quantitative data. Thematic analysis was done in NVivo for qualitative data, while descriptive statistics, correlation, and regression were done in SPSS for quantitative data. Quantitative analysis indicates that digital transformation strongly impacts service delivery efficiency (R² = 0.42, F (3, 246) = 15.67, p < 0.001) and accountability (R² = 0.36, F (3, 246) = 12.29, p < 0.001). Significant predictors of service delivery efficiency and accountability include digital transformation (β = 0.45, p < 0.001), organisational culture (β = 0.35, p < 0.01), and leadership (β = 0.32, p < 0.05). Qualitative studies revealed that automation, real-time data sharing, transparency, and public involvement improve efficiency and accountability. This research found that digital transformation boosts public administration efficiency and accountability. Implementation needs a supportive workplace and good leadership. This study argues that governments should encourage digital adoption, address data privacy concerns, and close the digital divide to provide inclusive and equitable digital services.