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Research Paper (postgraduate) from the year 2025 in the subject Pedagogy / Educational Science, , course: Education Management and Administration, language: English, abstract: This study offers a comparative, mixed methods investigation into how artificial intelligence (AI) can strengthen data informed decision making across three core administrative domains which include: resource allocation, student early warning systems, and teacher evaluation under contrasting policy regimes. By juxtaposing reform trajectories and governance practices in selected developed countries with Zambia's policy…mehr

Produktbeschreibung
Research Paper (postgraduate) from the year 2025 in the subject Pedagogy / Educational Science, , course: Education Management and Administration, language: English, abstract: This study offers a comparative, mixed methods investigation into how artificial intelligence (AI) can strengthen data informed decision making across three core administrative domains which include: resource allocation, student early warning systems, and teacher evaluation under contrasting policy regimes. By juxtaposing reform trajectories and governance practices in selected developed countries with Zambia's policy context, the research evaluates technical performance, fairness trade offs, and institutional readiness. The empirical core comprises AI prototype development and fairness audits in Zambian partner institutions, complemented by comparative policy analysis and stakeholder interviews in developed country cases. The thesis integrates quantitative model evaluation (discrimination, calibration, lead time, and subgroup fairness), prescriptive optimisation scenarios for equitable resource distribution, and qualitative process tracing of governance, legitimacy, and capacity. Outcomes include evidence on where AI improves administrative outcomes, a tested governance playbook for responsible deployment in low resource settings, and policy recommendations that reconcile technical trade offs with normative choices about equity and accountability.

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Autorenporträt
Maliro Ngoma is a visionary academic and development practitioner whose career seamlessly bridges the disciplines of education, computer science, and development studies. His intellectual journey is marked by a profound commitment to interdisciplinary learning, innovation, and transformative social impact. He began his academic path with a Bachelor of Education from the Zambian Open University, establishing a strong foundation in pedagogy, curriculum design, and educational leadership. Motivated by a passion for technological advancement, he pursued a Master of Science in Computer Science at the prestigious Lomonosov Moscow State University in Russia, where he mastered advanced computing, systems analysis, and digital problem-solving. Recognizing the critical role of inclusive development and policy-driven change, Maliro expanded his expertise with a Master of Arts in Development Studies from the University of Lusaka. His work in this field explores the nexus of technology, education, and socio-economic development, with a focus on empowering communities through knowledge systems and innovation. Currently, Maliro is a PhD candidate in Education Management and Administration at the Zambian Open University, where his research centers on Strategic leadership in educational institutions, Policy formulation and implementation, Institutional governance and accountability and Digital transformation in public service delivery. With a rare blend of technical acumen, policy insight, and educational expertise, Maliro Ngoma is uniquely positioned to drive meaningful change across Zambia's development landscape and beyond. His academic versatility, global perspective, and unwavering commitment to lifelong learning make him a thought leader in educational reform, digital empowerment, and sustainable development.