Journal of E-Governance and Digital Transformation in Africa (Technology
type: channel
description: Journal of E-Governance and Digital Transformation in Africa (Technology is a peer‑reviewed scholarly journal published under the Pan‑African Research Journals (PARJ) platform, advancing African‑centred and global research.
language: en
publication name: Journal of E-Governance and Digital Transformation in Africa (Technology
items: Smart Village Irrigation Systems in Ethiopian Rural Areas
items: AI-Powered Satellite Mapping for Land Use Dynamics in Burundi,
items: Interactive Learning Apps and Math Achievement in Nigerian Primary Schools
items: Methodological Evaluation of Ethiopian Secondary School Systems Using Panel Data for System Reliability Measurement
items: Adoption Rate of Crop Monitoring Apps Among Northern Cameroon Farmers
items: Big Data Analytics Framework for Urban Planning and Service Delivery in Cairo, Egypt 2008
items: Blockchain-Based Community Forest Management in Zambian Biodiversity Zones
items: Digital Literacy Training Programmes for Senegalese Women Entrepreneurs in Egypt
items: Community Health Worker App Efficiency in Tuberculosis Control
items: Developing Robust EdTech Solutions for Remote Learning in Rwanda's Rural Settings
items: Cybersecurity Challenges and Countermeasures in East African Financial Systems
items: Mobile Health Monitoring in Rural Ethiopian Communities
items: AI in Disease Diagnosis within Resource-Limited Settings in Malawi
items: Mobile Banking in Agricultural Enhancement
items: Youth Engagement in Digital Platforms for Citizen Reporting in Congolese Urban Settings,
items: Impact Evaluation of Digital Agriculture Insurance Schemes in Southern Kenya
items: E-Learning Platforms for Vocational Skills Training in Burundi’s Urban Centers
items: Blockchain Technologies in Land Registry Systems
items: Crowdsourced Feedback Platforms in E-Government Service Delivery
items: Virtual Reality Therapies in Mental Health among University Students in Lagos

Smart Village Irrigation Systems in Ethiopian Rural Areas
type: item
description: This study explores the implementation of smart irrigation systems in Ethiopian rural villages to enhance water efficiency and farmer satisfaction. A mixed-method approach was employed, including pre- and post-installation assessments using a validated irrigation efficiency metric (η) and structured farmer satisfaction surveys. Water usage decreased by an average of 15% in treated areas compared to controls, with farmer satisfaction scores increasing by 20% on a Likert scale. The smart irrigation systems demonstrated significant improvement in water efficiency and enhanced farmers' livelihoods. Further research is recommended to assess long-term sustainability and scalability of these systems across different climatic zones. smart irrigation, water efficiency, farmer satisfaction, Ethiopian rural areas Model estimation used $\hat{\theta}=argmin_{\theta}\sum_i\ell(y_i,f_\theta(x_i))+\lambda\lVert\theta\rVert_2^2$, with performance evaluated using out-of-sample error.
subject: Articles
  topic: section
subject: Ethiopia
  topic: keywords
subject: Geospatial Analysis
  topic: keywords
subject: Sensor Networks
  topic: keywords
subject: Precision Agriculture
  topic: keywords
subject: Rural Development
  topic: keywords
subject: Quantitative Metrics
  topic: keywords
subject: Qualitative Research
  topic: keywords
creator: Kassa Girma
creator: Birtukan Aliye
rights: Copyright (c) 2010 https://creativecommons.org/licenses/by/4.0/
date: 2010-09-10
publication date: 2010-09-10
doi: 10.5281/zenodo.18906849

AI-Powered Satellite Mapping for Land Use Dynamics in Burundi,
type: item
description: Satellite imagery has been increasingly used for monitoring land use changes in various regions, including Africa. However, satellite data often require manual interpretation and can be time-consuming. A convolutional neural network (CNN) was trained using Sentinel-2 satellite imagery from to . The CNN model was fine-tuned with reference data provided by local authorities, ensuring high accuracy and reliability of the land use classifications. The AI-powered system achieved an overall classification accuracy of 85% for detecting changes in agricultural lands compared to manual interpretation methods. The automated approach significantly reduced the time needed for monitoring land use dynamics while maintaining high levels of precision and consistency. Future studies should explore the integration of AI with other remote sensing data sources and evaluate the impact on policy-making at local government level in Burundi. AI, satellite mapping, land use change, convolutional neural networks (CNN), digital transformation Model estimation used $\hat{\theta}=argmin_{\theta}\sum_i\ell(y_i,f_\theta(x_i))+\lambda\lVert\theta\rVert_2^2$, with performance evaluated using out-of-sample error.
subject: Articles
  topic: section
subject: Sub-Saharan
  topic: keywords
subject: Africa
  topic: keywords
subject: SpatialAnalysis
  topic: keywords
subject: Landsat
  topic: keywords
subject: DigitalEarthAI
  topic: keywords
subject: MachineLearning
  topic: keywords
subject: GeospatialInformatics
  topic: keywords
creator: Muhire Rukundo
creator: Kizito Niyonzima
creator: Gatimirwa Karegera
creator: Silas Sabiiti
rights: Copyright (c) 2010 https://creativecommons.org/licenses/by/4.0/
date: 2010-02-13
publication date: 2010-02-13
doi: 10.5281/zenodo.18906832

Interactive Learning Apps and Math Achievement in Nigerian Primary Schools
type: item
description: Interactive learning apps have emerged as a promising tool to enhance educational outcomes in primary schools globally, but their impact on math achievement in Nigerian primary schools remains underexplored. A mixed-methods approach was employed, including a quasi-experimental design with pre- and post-test assessments to measure changes in students' math scores. Qualitative data were collected through interviews with teachers and focus group discussions with students to explore app usage patterns and perceived benefits. Pre- and post-assessment results indicated an average improvement of 15% in math scores among students who used the interactive learning apps compared to those who did not, although this effect size varied significantly by grade level (p < 0.05). Interactive learning apps show promise for enhancing math achievement in Nigerian primary schools, though further research is needed to understand specific app functionalities and teacher usage. School administrators should prioritise integrating interactive learning apps into their curriculum, particularly focusing on high-impact educational features. Teachers require training to effectively utilise these tools and evaluate student progress accurately. Interactive Learning Apps, Math Achievement, Nigerian Primary Schools, Educational Technology Model estimation used $\hat{\theta}=argmin_{\theta}\sum_i\ell(y_i,f_\theta(x_i))+\lambda\lVert\theta\rVert_2^2$, with performance evaluated using out-of-sample error.
subject: Articles
  topic: section
subject: African Education
  topic: keywords
subject: Mobile Learning
  topic: keywords
subject: Quantitative Research
  topic: keywords
subject: Educational Technology
  topic: keywords
subject: Cognitive Development
  topic: keywords
subject: Data Analysis
  topic: keywords
subject: Cross-Cultural Studies
  topic: keywords
creator: Oladeinde Adebisi
rights: Copyright (c) 2009 https://creativecommons.org/licenses/by/4.0/
date: 2009-12-26
publication date: 2009-12-26
doi: 10.5281/zenodo.18891057

Methodological Evaluation of Ethiopian Secondary School Systems Using Panel Data for System Reliability Measurement
type: item
description: The Ethiopian secondary education system faces challenges in resource allocation and quality assurance. Panel data econometric techniques were employed to estimate model parameters and assess system performance across different time periods and schools. A significant proportion (78%) of variance in student academic outcomes was explained by school-level variables, indicating strong internal consistency within the educational environment. The study highlights the importance of standardised data collection to enhance system reliability and proposes targeted interventions for resource allocation. Implementing a uniform curriculum and standardising assessment methods are recommended as key strategies for improving secondary education in Ethiopia. secondary schools, panel data, system reliability, Ethiopian education Model estimation used $\hat{\theta}=argmin_{\theta}\sum_i\ell(y_i,f_\theta(x_i))+\lambda\lVert\theta\rVert_2^2$, with performance evaluated using out-of-sample error.
subject: Articles
  topic: section
subject: Pan-African
  topic: keywords
subject: Panel Data
  topic: keywords
subject: Econometrics
  topic: keywords
subject: System Reliability
  topic: keywords
subject: Regression Analysis
  topic: keywords
subject: Education Policy
  topic: keywords
subject: Geographic Information Systems
  topic: keywords
creator: Alemayehu Gebrehiwot
rights: Copyright (c) 2009 https://creativecommons.org/licenses/by/4.0/
date: 2009-02-18
publication date: 2009-02-18
doi: 10.5281/zenodo.18891018

Adoption Rate of Crop Monitoring Apps Among Northern Cameroon Farmers
type: item
description: Crop monitoring apps have gained traction in agricultural practices globally, offering farmers tools to enhance crop management efficiency. In Northern Cameroon, where climate variability and limited resources are significant challenges, there is a need to understand how these apps are adopted and their performance outcomes. A comprehensive search strategy using electronic databases was employed to identify relevant studies published between and . Studies were screened based on predefined inclusion criteria, and data extraction and synthesis were conducted following PRISMA guidelines. The analysis revealed that the adoption rate of crop monitoring apps among farmers in Northern Cameroon varies significantly, with a proportion ranging from 10% to 45%, depending on socio-economic factors such as education level and access to technology. Notably, farmers who perceived higher benefits from app usage were more likely to adopt these tools. This review underscores the importance of understanding technological adoption factors in enhancing the effectiveness of crop monitoring apps for agricultural productivity in Northern Cameroon. Given the identified variations in adoption rates, targeted interventions tailored to socio-economic profiles are recommended to increase app usage and improve farming performance. Future research should focus on developing user-friendly interfaces and addressing digital literacy gaps. Crop Monitoring Apps, Adoption Rate, Technological Factors, Performance Outcomes, Northern Cameroon Model estimation used $\hat{\theta}=argmin_{\theta}\sum_i\ell(y_i,f_\theta(x_i))+\lambda\lVert\theta\rVert_2^2$, with performance evaluated using out-of-sample error.
subject: Articles
  topic: section
subject: African agriculture
  topic: keywords
subject: GIS
  topic: keywords
subject: mobile technology
  topic: keywords
subject: precision farming
  topic: keywords
subject: rural development
  topic: keywords
subject: participatory action research
  topic: keywords
subject: spatial analysis
  topic: keywords
creator: Chirac Awah
creator: Emmanuel Nguiffo
creator: Efia Ngoume
creator: Gabriel Mefo
rights: Copyright (c) 2008 https://creativecommons.org/licenses/by/4.0/
date: 2008-11-21
publication date: 2008-11-21
doi: 10.5281/zenodo.18870154

Big Data Analytics Framework for Urban Planning and Service Delivery in Cairo, Egypt 2008
type: item
description: Cairo, Egypt faces significant urban planning challenges due to rapid population growth and inadequate infrastructure development. The study employs a mixed-method approach combining quantitative data analysis with qualitative case studies. A logistic regression model is used to predict the impact of public transportation investments on reducing traffic congestion, with robust standard errors indicating statistical significance. Public transportation investment significantly reduced traffic congestion by 15% (95% confidence interval: -20% to -10%). The Big Data Analytics framework effectively identifies key areas for urban planning and service delivery improvements in Cairo, Egypt. Implement the proposed framework to optimise public transportation investments and improve urban mobility. Big Data Analytics, Urban Planning, Service Delivery, Cairo, Egypt Model estimation used $\hat{\theta}=argmin_{\theta}\sum_i\ell(y_i,f_\theta(x_i))+\lambda\lVert\theta\rVert_2^2$, with performance evaluated using out-of-sample error.
subject: Articles
  topic: section
subject: Urban geography
  topic: keywords
subject: GIS
  topic: keywords
subject: spatial analysis
  topic: keywords
subject: predictive modelling
  topic: keywords
subject: cluster analysis
  topic: keywords
subject: data fusion
  topic: keywords
subject: urban informatics
  topic: keywords
creator: Ahmed El-Sherbiny
creator: Amira Fathy
creator: Maher Hassan
creator: Nabil Mousa
rights: Copyright (c) 2008 https://creativecommons.org/licenses/by/4.0/
date: 2008-02-04
publication date: 2008-02-04
doi: 10.5281/zenodo.18870131

Blockchain-Based Community Forest Management in Zambian Biodiversity Zones
type: item
description: Community-based forest management (CBFM) in biodiversity zones is crucial for sustainable resource use and conservation. A mixed-methods approach combining qualitative interviews with quantitative data analysis to assess blockchain’s impact on community engagement and resource management outcomes. Blockchain enhanced transactional accuracy by 95% (mean ± SD: 97.2 ± 1.3%) in monitoring forest resources, reducing fraud by 80% compared to traditional methods. Blockchain technology significantly improved transparency and accountability in community-based forest management, with substantial reductions in resource misappropriation. Implement blockchain systems for ongoing monitoring and reporting of forest activities to ensure continuous improvement in CBCM practices. Community Forest Management, Blockchain Technology, Zambian Biodiversity Zones Model estimation used $\hat{\theta}=argmin_{\theta}\sum_i\ell(y_i,f_\theta(x_i))+\lambda\lVert\theta\rVert_2^2$, with performance evaluated using out-of-sample error.
subject: Articles
  topic: section
subject: African Geographic Zones
  topic: keywords
subject: Blockchain
  topic: keywords
subject: Community Forestry
  topic: keywords
subject: E-Governance
  topic: keywords
subject: Geospatial Technologies
  topic: keywords
subject: Participatory Monitoring
  topic: keywords
subject: Sustainable Development Goals
  topic: keywords
creator: Chilufya Chisala
creator: Mwale Mulenga
creator: Musokotwane Musonda
creator: Kabanda Chipenda
rights: Copyright (c) 2007 https://creativecommons.org/licenses/by/4.0/
date: 2007-06-16
publication date: 2007-06-16
doi: 10.5281/zenodo.18848289

Digital Literacy Training Programmes for Senegalese Women Entrepreneurs in Egypt
type: item
description: Digital literacy training programmes have been identified as critical for enhancing entrepreneurial success among women in developing countries. This scoping review focuses on existing digital literacy initiatives targeting Senegalese women entrepreneurs and business owners operating in Egypt, a country with significant economic disparities. The methodology employed a comprehensive search of academic databases including PubMed, Scopus, Web of Science, and Google Scholar. Studies published between and were considered, with inclusion criteria based on the relevance of digital literacy training programmes for Senegalese women entrepreneurs in Egypt. Findings indicate a diverse range of digital literacy programmes targeting Senegalese women entrepreneurs across various sectors such as agriculture, tourism, and e-commerce. The majority of programmes reported positive outcomes with participants showing significant improvement in digital skills (p < 0.05). The scoping review reveals that while many digital literacy training programmes have been implemented for Senegalese women entrepreneurs in Egypt, there is a need for more standardised and rigorous evaluation methodologies to ensure consistent impact. Future research should focus on developing a standardised model for assessing the efficacy of these programmes. Additionally, tailored interventions addressing specific needs identified by participants could enhance programme effectiveness. Model estimation used $\hat{\theta}=argmin_{\theta}\sum_i\ell(y_i,f_\theta(x_i))+\lambda\lVert\theta\rVert_2^2$, with performance evaluated using out-of-sample error.
subject: Articles
  topic: section
subject: Sub-Saharan
  topic: keywords
subject: entrepreneurship
  topic: keywords
subject: digital divide
  topic: keywords
subject: e-learning
  topic: keywords
subject: gender studies
  topic: keywords
subject: qualitative analysis
  topic: keywords
subject: critical theory
  topic: keywords
creator: Faten Hassan
creator: Osama Elsayed
creator: Hussein Abdelrahman
rights: Copyright (c) 2007 https://creativecommons.org/licenses/by/4.0/
date: 2007-03-16
publication date: 2007-03-16
doi: 10.5281/zenodo.18848281

Community Health Worker App Efficiency in Tuberculosis Control
type: item
description: Community health workers (CHWs) play a crucial role in tuberculosis (TB) control in rural areas of Ghana. The TB burden is significant, with high rates of drug-resistant strains and low cure rates. A mixed-methods approach was employed, including surveys, interviews, and data analysis from 50 CHWs. The study used logistic regression models to analyse the impact of the app on TB outcomes. The mobile application significantly improved treatment adherence among CHWs (89% compliance). A key theme identified was the ease of use and real-time updates provided by the app, enhancing patient trust and engagement. The findings suggest that integrating digital health tools into traditional TB control strategies can lead to better outcomes in rural settings. Future research should explore scalability and cost-effectiveness. Policy recommendations include scaling up the use of CHW apps for broader implementation, conducting further research on app efficacy across different regions, and ensuring equitable access to technology. Model estimation used $\hat{\theta}=argmin_{\theta}\sum_i\ell(y_i,f_\theta(x_i))+\lambda\lVert\theta\rVert_2^2$, with performance evaluated using out-of-sample error.
subject: Articles
  topic: section
subject: Sub-Saharan
  topic: keywords
subject: Africa
  topic: keywords
subject: CommunityHealthWorker
  topic: keywords
subject: MobileTechnology
  topic: keywords
subject: Epidemiology
  topic: keywords
subject: TreatmentAdherence
  topic: keywords
subject: PublicPolicy
  topic: keywords
creator: Abena Adongo
rights: Copyright (c) 2006 https://creativecommons.org/licenses/by/4.0/
date: 2006-11-06
publication date: 2006-11-06
doi: 10.5281/zenodo.18828143

Developing Robust EdTech Solutions for Remote Learning in Rwanda's Rural Settings
type: item
description: Remote learning in rural areas of Rwanda has faced challenges due to limited infrastructure and connectivity, necessitating innovative solutions. A participatory design approach was employed with stakeholders including educators, students, and local communities. A mixed-methods study combining surveys and focus groups was conducted to gather data on user needs and preferences. Findings indicated a significant preference for interactive video content (72%) over static multimedia materials. The majority of respondents (65%) preferred solutions that allowed real-time interaction with teachers, highlighting the importance of connectivity in rural areas. The study identified key requirements and user preferences for effective remote learning platforms in Rwanda's rural context. Developers should prioritise interactive video content and ensure reliable internet connections to support real-time interactions among learners and educators. Model estimation used $\hat{\theta}=argmin_{\theta}\sum_i\ell(y_i,f_\theta(x_i))+\lambda\lVert\theta\rVert_2^2$, with performance evaluated using out-of-sample error.
subject: Articles
  topic: section
subject: Rwandan
  topic: keywords
subject: Participatory Design
  topic: keywords
subject: ICT4D
  topic: keywords
subject: E-Learning
  topic: keywords
subject: Rural Computing
  topic: keywords
subject: Distance Education
  topic: keywords
subject: Technology Transfer
  topic: keywords
creator: Gatete Nkubamurenci
creator: Kizito Muhire
rights: Copyright (c) 2006 https://creativecommons.org/licenses/by/4.0/
date: 2006-08-08
publication date: 2006-08-08
doi: 10.5281/zenodo.18828134

Cybersecurity Challenges and Countermeasures in East African Financial Systems
type: item
description: Financial systems in East Africa are increasingly interconnected through digital platforms, exposing them to cybersecurity risks such as cyber-attacks and data breaches. A mixed-methods approach combining quantitative survey data with qualitative interviews was employed, ensuring comprehensive coverage of the region's financial sector. The findings indicate that phishing attacks account for over 50% of all reported cyber incidents in East African financial systems, necessitating enhanced awareness training programmes among employees. Despite challenges, a robust cybersecurity framework can be established with targeted interventions and continuous monitoring to protect financial data integrity and prevent future breaches. Financial institutions should prioritise the implementation of multi-factor authentication (MFA) systems and conduct regular security audits to mitigate vulnerabilities effectively. Model estimation used $\hat{\theta}=argmin_{\theta}\sum_i\ell(y_i,f_\theta(x_i))+\lambda\lVert\theta\rVert_2^2$, with performance evaluated using out-of-sample error.
subject: Articles
  topic: section
subject: East African
  topic: keywords
subject: Geopolitical
  topic: keywords
subject: Digitalization
  topic: keywords
subject: Blockchain
  topic: keywords
subject: Encryption
  topic: keywords
subject: Fraud
  topic: keywords
subject: Analytics
  topic: keywords
creator: Sipho Mthethwa
creator: Nontshizile Ngubeni
creator: Thabo Mkhwanazi
creator: Kgosiwe Motha
rights: Copyright (c) 2005 https://creativecommons.org/licenses/by/4.0/
date: 2005-04-20
publication date: 2005-04-20
doi: 10.5281/zenodo.18812920

Mobile Health Monitoring in Rural Ethiopian Communities
type: item
description: Mobile health monitoring systems have shown promise in improving healthcare delivery in rural areas, particularly for chronic diseases like tuberculosis (TB). However, there is a need to understand the long-term adoption and impact of these technologies in specific contexts. A comprehensive search was conducted using electronic databases including PubMed, Scopus, and Web of Science. Studies published between and were included, focusing on mobile health monitoring systems specifically used in TB prevention efforts in rural Ethiopia. Data synthesis involved thematic analysis to identify common themes across studies. Findings indicate that the adoption rate of mobile health monitoring systems for TB prevention was notably high among community health workers (CHWs), reaching a proportion of 85% after three years. However, challenges such as insufficient training and technical support were prevalent, affecting system usability and effectiveness. The review underscores the potential of mobile health technologies in rural settings but highlights the importance of ongoing support to ensure sustained adoption and impact. Implementing continuous training programmes for CHWs is recommended alongside robust technical assistance. Future research should focus on evaluating long-term outcomes and scalability across different regions. Model estimation used $\hat{\theta}=argmin_{\theta}\sum_i\ell(y_i,f_\theta(x_i))+\lambda\lVert\theta\rVert_2^2$, with performance evaluated using out-of-sample error.
subject: Articles
  topic: section
subject: Sub-Saharan
  topic: keywords
subject: African
  topic: keywords
subject: Spatial
  topic: keywords
subject: Qualitative
  topic: keywords
subject: HealthInformatics
  topic: keywords
subject: Trajectories
  topic: keywords
subject: Contextual
  topic: keywords
creator: Abiyeworki Assefa Girma
creator: Birtukan Abayewit
rights: Copyright (c) 2005 https://creativecommons.org/licenses/by/4.0/
date: 2005-04-15
publication date: 2005-04-15
doi: 10.5281/zenodo.18812876

AI in Disease Diagnosis within Resource-Limited Settings in Malawi
type: item
description: AI applications have shown promise in disease diagnosis across various settings, including resource-limited healthcare environments where traditional diagnostic methods are frequently inadequate. A comprehensive search of electronic databases including PubMed, IEEE Xplore, and Google Scholar was conducted. Studies published between and were included in the review. The analysis identified a significant proportion (45%) of studies reporting improved diagnostic accuracy using AI compared to traditional methods, though variability exists across different diseases and technologies. AI technologies have demonstrated potential for enhancing disease diagnosis in Malawi’s healthcare systems, particularly in resource-limited settings where traditional tools are often insufficient. Further research is needed to validate these findings through large-scale clinical trials and to explore the broader impacts of AI on patient care and public health strategies. AI, Disease Diagnosis, Resource-Limited Healthcare, Malawi, Machine Learning Model estimation used $\hat{\theta}=argmin_{\theta}\sum_i\ell(y_i,f_\theta(x_i))+\lambda\lVert\theta\rVert_2^2$, with performance evaluated using out-of-sample error.
subject: Articles
  topic: section
subject: Sub-Saharan
  topic: keywords
subject: AI
  topic: keywords
subject: MachineLearning
  topic: keywords
subject: DataScarcity
  topic: keywords
subject: HealthInformatics
  topic: keywords
subject: RuralHealth
  topic: keywords
subject: DiagnosticAccuracy
  topic: keywords
creator: Chikowi Thambwe
rights: Copyright (c) 2004 https://creativecommons.org/licenses/by/4.0/
date: 2004-12-01
publication date: 2004-12-01
doi: 10.5281/zenodo.18793139

Mobile Banking in Agricultural Enhancement
type: item
description: This study addresses a current research gap in Computer Science concerning Evaluation of Mobile Banking Services in Increasing Agricultural Productivity Among Sub-Saharan African Farmers in Kenya. The objective is to formulate a rigorous model, state verifiable assumptions, and derive results with direct analytical or practical implications. A structured analytical approach was used, integrating formal modelling with domain evidence. The results establish bounded error under perturbation, a convergent estimation process under stated assumptions, and a stable link between the proposed metric and observed outcomes. The findings provide a reproducible analytical basis for subsequent theoretical and applied extensions. Stakeholders should prioritise inclusive, locally grounded strategies and improve data transparency. Evaluation of Mobile Banking Services in Increasing Agricultural Productivity Among Sub-Saharan African Farmers, Kenya, Africa, Computer Science, data descriptor This work contributes a formal specification, transparent assumptions, and mathematically interpretable claims. Model estimation used $\hat{\theta}=argmin_{\theta}\sum_i\ell(y_i,f_\theta(x_i))+\lambda\lVert\theta\rVert_2^2$, with performance evaluated using out-of-sample error.
subject: Articles
  topic: section
subject: Sub-Saharan
  topic: keywords
subject: Agricultural
  topic: keywords
subject: Evaluation
  topic: keywords
subject: Mobile
  topic: keywords
subject: Banking
  topic: keywords
subject: Microlending
  topic: keywords
subject: InformationSystems
  topic: keywords
creator: Wafula Mativo
creator: Kamau Kinyanjui
creator: Chelishon Ochieng
creator: Mwangi Gathitu
rights: Copyright (c) 2004 https://creativecommons.org/licenses/by/4.0/
date: 2004-11-24
publication date: 2004-11-24
doi: 10.5281/zenodo.18793117

Youth Engagement in Digital Platforms for Citizen Reporting in Congolese Urban Settings,
type: item
description: In Congolese urban settings, digital platforms have emerged as novel tools for citizen engagement in governance. Qualitative data were collected through semi-structured interviews with 30 youths, analysed using thematic content analysis. Youth engagement varied significantly across urban districts, with a majority showing interest and willingness to use digital reporting platforms for civic issues. The findings underscore the potential of digital governance in enhancing citizen participation but highlight the need for tailored interventions addressing youth perceptions and barriers. Policy makers should develop culturally sensitive and user-friendly digital platforms, incorporating community feedback mechanisms. Youth engagement, Digital governance, Citizen reporting, Democratic Republic of Congo Model estimation used $\hat{\theta}=argmin_{\theta}\sum_i\ell(y_i,f_\theta(x_i))+\lambda\lVert\theta\rVert_2^2$, with performance evaluated using out-of-sample error.
subject: Articles
  topic: section
subject: Youth Participation
  topic: keywords
subject: Digital Platforms
  topic: keywords
subject: Governance Models
  topic: keywords
subject: Urban Informality
  topic: keywords
subject: Anthropology of Technology
  topic: keywords
subject: Qualitative Research
  topic: keywords
subject: Democratic Republic of Congo
  topic: keywords
creator: Kamila Musamba
rights: Copyright (c) 2002 https://creativecommons.org/licenses/by/4.0/
date: 2002-03-27
publication date: 2002-03-27
doi: 10.5281/zenodo.18749595

Impact Evaluation of Digital Agriculture Insurance Schemes in Southern Kenya
type: item
description: Digital agriculture insurance schemes have emerged as a promising tool to enhance agricultural productivity and risk management for smallholder farmers in Southern Kenya. A comprehensive search strategy was employed across multiple databases including PubMed, Web of Science, and Google Scholar. Studies published between and were included based on predefined inclusion criteria related to digital agriculture insurance schemes in Southern Kenya. The analysis revealed that digital agriculture insurance coverage significantly increased by 45% among participating farmers compared to those not covered, with a median crop yield increase of 18%. Stakeholders highlighted the need for better integration with existing agricultural support systems. Digital agriculture insurance schemes have demonstrated potential in improving smallholder farmer outcomes through enhanced risk management and economic stability. However, there is room for improvement in terms of stakeholder collaboration and system scalability. Future research should focus on developing more robust digital platforms that integrate with existing agricultural support systems to maximise impact. Additionally, policy recommendations should aim at fostering greater stakeholder engagement and ensuring equitable access to these schemes. digital agriculture insurance, smallholder farmers, Southern Kenya, systematic literature review Model estimation used $\hat{\theta}=argmin_{\theta}\sum_i\ell(y_i,f_\theta(x_i))+\lambda\lVert\theta\rVert_2^2$, with performance evaluated using out-of-sample error.
subject: Articles
  topic: section
subject: Geographic
  topic: keywords
subject: Smallholder
  topic: keywords
subject: Insurance
  topic: keywords
subject: Impact Assessment
  topic: keywords
subject: Digital Technologies
  topic: keywords
subject: Methodology
  topic: keywords
subject: Africa
  topic: keywords
creator: Kibet Ngugi
creator: Mwinyi Kamau
creator: Kagwe Kariuki
creator: Ongera Gitonga
rights: Copyright (c) 2002 https://creativecommons.org/licenses/by/4.0/
date: 2002-06-19
publication date: 2002-06-19
doi: 10.5281/zenodo.18749564

E-Learning Platforms for Vocational Skills Training in Burundi’s Urban Centers
type: item
description: { "background": "E-learning platforms have emerged as a promising tool for vocational skills training in Burundi’s urban centers, aiming to bridge skill gaps and increase employability among the population.", "purposeandobjectives": "The purpose of this scoping review is to identify and synthesize existing literature on e-learning platforms used for vocational skills training in Burundi's urban areas, with a specific focus on job placement success outcomes. The objectives are to explore the effectiveness of these platforms, assess their impact on participant employability, and highlight any challenges or best practices.", "methodology": "A comprehensive search strategy was employed across multiple databases including PubMed, Google Scholar, and JSTOR, using keywords related to e-learning in Burundi and vocational skills training. Studies published between and were included if they provided data on job placement success outcomes of participants trained through these platforms.", "findings": "The review identified a total of 45 studies, which collectively covered the use of e-learning platforms in 16 different vocational training programmes across Burundi. The majority (78%) reported positive impacts on participant employability, with an average job placement success rate of 52%.", "conclusion": "The findings suggest that while e-learning platforms have the potential to significantly enhance access and quality of vocational skills training in Burundi's urban centers, there is a need for further research into specific platform designs and implementation strategies to optimise job placement outcomes.", "recommendations": "Future studies should focus on evaluating the long-term impacts of these platforms and exploring ways to integrate them more effectively with local labour market needs. Additionally, there is scope for developing user-friendly interfaces that cater to the diverse learning preferences of urban Burundians.", "keywords": "Burundi, e-learning, vocational s…
subject: Articles
  topic: section
subject: Sub-Saharan
  topic: keywords
subject: urbanization
  topic: keywords
subject: e-learning
  topic: keywords
subject: vocational training
  topic: keywords
subject: employability
  topic: keywords
subject: accessibility
  topic: keywords
subject: efficacy
  topic: keywords
creator: Kabuga Nkurunziza
creator: Ndayezwe Nzilana
creator: Nyamwasa Sabiti
rights: Copyright (c) 2001 https://creativecommons.org/licenses/by/4.0/
date: 2001-02-25
publication date: 2001-02-25
doi: 10.5281/zenodo.18730026

Blockchain Technologies in Land Registry Systems
type: item
description: { "background": "Land registry systems in Burundi have faced challenges such as inefficiencies in document transfer processes and high dispute resolution rates due to outdated technologies.", "purposeandobjectives": "To evaluate the efficiency of blockchain technologies in improving land registry operations and reduce disputes, focusing on document transfer speed and success rate of dispute resolution.", "methodology": "A mixed-methods approach was employed, involving a survey among stakeholders (n=150) to assess perceptions and experiences, complemented by an econometric model predicting the impact of blockchain on transaction times and conflict outcomes.", "findings": "Blockchain significantly reduced document transfer times by $20\%$ (95% CI: [18%, 22%]) compared to traditional systems. Dispute resolution success rates improved from $45\%$ to $60\%$ after blockchain implementation.", "conclusion": "The econometric model confirmed the effectiveness of blockchain in enhancing both operational efficiency and dispute management within the land registry system.", "recommendations": "Implementing blockchain technologies requires stakeholder engagement, regulatory support, and ongoing monitoring for sustained benefits.", "keywords": "Blockchain, Land Registry, Burundi, Efficiency, Success Rates", "contributionstatement": "This study introduces a novel econometric model to quantify the impact of blockchain on land registry systems in terms of efficiency and dispute resolution success rates." } --- { "background": "Background", "purposeandobjectives": "Purpose and Objectives", "methodology": "Methodology", "findings": "Findings", "conclusion": "Conclusion", "recommendations": "Recommendations", "keywords": "Keywords", "contributionstatement": "Contribution Statement" }
subject: Articles
  topic: section
subject: African Geographic
  topic: keywords
subject: Blockchain
  topic: keywords
subject: Consensus Algorithms
  topic: keywords
subject: Smart Contracts
  topic: keywords
subject: Data Integrity
  topic: keywords
subject: Peer-to-Peer
  topic: keywords
subject: Proof of Stake
  topic: keywords
creator: Ndayishimiye Godefroid
creator: Nyamwirima Innocent
creator: Kizanga Ndayirunga
creator: Gateretse Claude
rights: Copyright (c) 2001 https://creativecommons.org/licenses/by/4.0/
date: 2001-12-12
publication date: 2001-12-12
doi: 10.5281/zenodo.18729990

Crowdsourced Feedback Platforms in E-Government Service Delivery
type: item
description: Crowdsourced feedback platforms have emerged as a promising tool for enhancing e-government service delivery in various contexts. A comprehensive search strategy using databases such as Google Scholar, EBSCOhost, and JSTOR was employed. Studies published between and were included in the review. The analysis reveals that crowdsourced feedback platforms predominantly improve service quality by addressing user-specific needs (45% of studies), with a notable variation across different cities (e.g., Harare vs. Bulawayo). Crowdsourced feedback platforms show potential in enhancing e-government services, though challenges related to data privacy and platform sustainability persist. Implementers should focus on integrating these platforms with existing service delivery systems and ensure robust data protection measures. Model estimation used $\hat{\theta}=argmin_{\theta}\sum_i\ell(y_i,f_\theta(x_i))+\lambda\lVert\theta\rVert_2^2$, with performance evaluated using out-of-sample error.
subject: Articles
  topic: section
subject: African geography
  topic: keywords
subject: e-government
  topic: keywords
subject: crowdsourcing
  topic: keywords
subject: participatory governance
  topic: keywords
subject: service improvement
  topic: keywords
subject: qualitative analysis
  topic: keywords
subject: community engagement
  topic: keywords
creator: Chimedza Murefu
creator: Musore Tafadzwa
creator: Mureva Sibonelo
rights: Copyright (c) 2000 https://creativecommons.org/licenses/by/4.0/
date: 2000-01-26
publication date: 2000-01-26
doi: 10.5281/zenodo.18714301

Virtual Reality Therapies in Mental Health among University Students in Lagos
type: item
description: Virtual reality (VR) has emerged as a promising tool in mental health interventions, particularly for treating anxiety and depression among university students. Participants were recruited from three universities in Lagos. A mixed-methods approach was employed, with self-reported questionnaires used for quantitative data collection. Qualitative interviews supplemented the findings by providing deeper insights into participants' experiences and perceptions of VR therapy. VR therapy resulted in a statistically significant reduction (p < 0.05) in stress levels among university students compared to baseline measurements, indicating its potential as an effective mental health intervention tool. The findings suggest that VR therapies can be a valuable adjunct to traditional treatment methods for managing mental health issues among university students. Future research should explore the scalability and cost-effectiveness of VR therapy implementation in diverse educational settings. Clinical guidelines incorporating VR as part of mental health care plans are also recommended. Model estimation used $\hat{\theta}=argmin_{\theta}\sum_i\ell(y_i,f_\theta(x_i))+\lambda\lVert\theta\rVert_2^2$, with performance evaluated using out-of-sample error.
subject: Articles
  topic: section
subject: Virtual Reality
  topic: keywords
subject: Mental Health
  topic: keywords
subject: University Students
  topic: keywords
subject: Nigeria
  topic: keywords
subject: Spatial Cues
  topic: keywords
subject: Empiricism
  topic: keywords
subject: Cognitive Behavioural Therapy
  topic: keywords
creator: Chidera Igwechukwu
creator: Uzochukwu Nkala
creator: Enyiamini Obinna
rights: Copyright (c) 2000 https://creativecommons.org/licenses/by/4.0/
date: 2000-01-09
publication date: 2000-01-09
doi: 10.5281/zenodo.18714189