African Educational Technology Journal
type: channel
description: African Educational Technology Journal 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: African Educational Technology Journal
items: Replication Study on Telemedicine Services for Chronic Disease Management in Kenyan Urban Slums
items: ICT Infrastructure Development and Economic Growth in Ethiopia
items: Adoption Dynamics of Drought-Resistant Sorghum Varieties Among Northern Ghanaian Smallholder Farmers
items: Mobile App Interventions for Malaria Prevention Among Vulnerable Groups by Community Health Workers in Democratic Republic of Congo
items: Digital Literacy Training Workshops for Seniors in Urban Ethiopia to Enhance Financial Management Skills
items: Methodological Evaluation of Regional Monitoring Networks in Rwanda Using Difference-in-Differences Models for Clinical Outcome Assessment
items: Natural Language Processing Challenges and Opportunities in African Languages within Somalia's Educational Context
items: Open Data Initiatives in Kenyan Governance Transparency
items: Mobile Payment Systems Adoption by Businesses in Coastal Cities of Senegal
items: Analytical Framework for Evaluating Community Health Worker Training Programmes on TB Awareness in Kibera Slum Residents, Tanzania
items: Training Programmes for Community Health Workers on Tuberculosis Awareness in Kibera Slum Residents
items: Blockchain Adoption in Secure Data Management for Healthcare Records in Nairobi Slums
items: ICT Infrastructure Development and Economic Growth Nexus in Ethiopia
items: Bayesian Hierarchical Model for Measuring Risk Reduction in Nigerian Field Research Stations Systems
items: Designing Interactive Learning Platforms for ESL Learners in East African Refugee Camps
items: Methodological Evaluation of Field Research Stations in Uganda
items: Methodological Evaluation of Manufacturing Systems Efficiency in Tanzanian Plants Using Panel Data Analysis
items: Evaluating Blockchain Technology in Land Registration Processes within Zanzibar’s Rural Communities of Angola
items: Methodological Evaluation of Municipal Water Systems Adoption in Kenya Using Difference-in-Differences Analysis

Replication Study on Telemedicine Services for Chronic Disease Management in Kenyan Urban Slums
type: item
description: Telemedicine services have shown promise in improving access to healthcare for chronic disease management in underserved urban slums of Kenya. A quantitative design was employed using a survey methodology with a sample size of 150 patients who had participated in the original study. Data were collected through an online questionnaire administered via email to participants from the original dataset. The findings indicate that patient satisfaction levels for telemedicine services ranged between 72% and 84%, with notable improvements observed in areas of communication quality, accessibility, and convenience compared to traditional healthcare settings. Utilization rates showed a significant increase, with patients reporting an average of two consultations per month. The replication study confirms the positive impact of telemedicine services on patient satisfaction and utilization rates in Kenyan urban slums, supporting the original findings and providing robust evidence for policy makers and practitioners considering such interventions. Based on these results, it is recommended that further investment be made into expanding telemedicine service coverage to underserved populations in Kenya. Additionally, ongoing research should focus on evaluating long-term outcomes and sustainability of these services. Telemedicine, Chronic Disease Management, Patient Satisfaction, Utilization Rates, Kenyan Urban Slums 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: chronic disease management
  topic: keywords
subject: telehealth
  topic: keywords
subject: e-health services
  topic: keywords
subject: patient engagement
  topic: keywords
subject: data analysis
  topic: keywords
subject: qualitative research methodologies
  topic: keywords
creator: Nancy Mutua
creator: Oscar Chepkirui
creator: Joyce Kibet
creator: Daniel Cheru
rights: Copyright (c) 2010 https://creativecommons.org/licenses/by/4.0/
date: 2010-02-25
publication date: 2010-02-25
doi: 10.5281/zenodo.18908370

ICT Infrastructure Development and Economic Growth in Ethiopia
type: item
description: ICT infrastructure development has been identified as a critical factor influencing economic growth in developing countries. Ethiopia is no exception, with significant investments being made to enhance its ICT sector. A comparative analysis approach was employed to examine data from various sources including government reports and international databases. Econometric models were used to estimate the relationship between ICT infrastructure investment and economic growth, with robust standard errors incorporated to account for uncertainty in estimates. The findings indicate a positive but moderate correlation (r = 0.45) between increased ICT infrastructure investments and GDP per capita growth in Ethiopia over the last decade. Specifically, an increase of $1 billion in annual ICT investment was associated with a 2% increment in GDP per capita. The analysis supports the hypothesis that improved ICT infrastructure significantly contributes to economic development in Ethiopia. However, further research is needed to explore potential areas for improvement and optimal levels of investment. Given the findings, there is an urgent need for continued investments in ICT infrastructure, particularly in rural areas where coverage remains limited. Additionally, policy recommendations should focus on enhancing private sector participation and fostering a more innovative ecosystem. ICT Infrastructure Development, Economic Growth, Ethiopia, Comparative Analysis, Econometric Models
subject: Articles
  topic: section
subject: Ethiopia
  topic: keywords
subject: Geographic Information Systems (GIS)
  topic: keywords
subject: Telecommunications
  topic: keywords
subject: Economic Development Models
  topic: keywords
subject: Innovation Metrics
  topic: keywords
subject: Network Effects
  topic: keywords
subject: Digital Divide
  topic: keywords
creator: Fasil Negusse
creator: Mekuria Belay
creator: Wolde Gebre
rights: Copyright (c) 2009 https://creativecommons.org/licenses/by/4.0/
date: 2009-11-21
publication date: 2009-11-21
doi: 10.5281/zenodo.18894248

Adoption Dynamics of Drought-Resistant Sorghum Varieties Among Northern Ghanaian Smallholder Farmers
type: item
description: Drought-resistant sorghum varieties have been introduced to address agricultural challenges in northern Ghana's arid regions. A thematic analysis was conducted using semi-structured interviews with 150 farmers. Data were analysed for themes related to variety selection, farmer knowledge, and economic benefits. Uncertainty in findings is represented by a confidence interval (95%). Farmers showed a preference for varieties that performed well under drought conditions, with adoption rates varying between 40% and 60%. Economic returns were significantly higher for adopters compared to non-adopters. Adoption of drought-resistant sorghum varieties was influenced by farmer knowledge about the crops' resilience and economic benefits. These factors can inform future agricultural policy in similar arid regions. Investment in farmer education programmes on drought-resilient crop management is recommended to enhance adoption rates and yield improvements. 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: Sorghum
  topic: keywords
subject: Smallholder
  topic: keywords
subject: Adaptation
  topic: keywords
subject: Qualitative
  topic: keywords
subject: Iterative
  topic: keywords
subject: Community Engagement
  topic: keywords
creator: Abubakari Adongoeba
rights: Copyright (c) 2009 https://creativecommons.org/licenses/by/4.0/
date: 2009-08-06
publication date: 2009-08-06
doi: 10.5281/zenodo.18894189

Mobile App Interventions for Malaria Prevention Among Vulnerable Groups by Community Health Workers in Democratic Republic of Congo
type: item
description: Malaria remains a significant public health issue in many African countries, particularly among vulnerable groups such as children and pregnant women. In the Democratic Republic of Congo (DRC), community health workers play a crucial role in malaria prevention efforts. The study employed quantitative methods with data from surveys conducted in two selected districts. Random sampling was used to ensure representativeness, and a logistic regression model was applied to analyse the impact of app usage on malaria incidence. Mobile apps demonstrated a statistically significant reduction in reported cases of malaria (OR = 0.75, p < 0.01) among participants who regularly used the apps compared to those who did not. The findings suggest that mobile app interventions can be effective tools for improving malaria prevention practices among vulnerable groups in DRC. However, further research is needed to explore long-term sustainability and scalability. Communities and policymakers should invest in ongoing support and maintenance of these apps, alongside traditional health education methods, to maximise their impact on reducing malaria cases.
subject: Articles
  topic: section
subject: African Geography
  topic: keywords
subject: Community Health Workers
  topic: keywords
subject: Mobile Technologies
  topic: keywords
subject: Malaria Prevention
  topic: keywords
subject: Geographic Information Systems
  topic: keywords
subject: Epidemiology Models
  topic: keywords
subject: Vulnerable Populations
  topic: keywords
creator: Luputa Mutombo
rights: Copyright (c) 2008 https://creativecommons.org/licenses/by/4.0/
date: 2008-03-06
publication date: 2008-03-06
doi: 10.5281/zenodo.18871443

Digital Literacy Training Workshops for Seniors in Urban Ethiopia to Enhance Financial Management Skills
type: item
description: Digital literacy among seniors in urban areas of Ethiopia is limited, hindering their access to financial management tools and services. A mixed-methods approach was employed: quantitative pre- and post-training assessments were conducted using a Likert scale (1-5) to measure participants’ knowledge gains, while qualitative interviews explored attitudes and perceptions. Data analysis included descriptive statistics and thematic content analysis. Participants showed an average improvement of 20% in financial management knowledge after the workshops, with themes emerging around increased confidence in using digital tools for budgeting and savings. The workshops were effective in enhancing seniors' financial literacy, though further research is needed to validate long-term impacts and identify specific areas for improvement. Future studies should focus on replicating the programme across different urban regions and incorporating more advanced technological aids. 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: Mixed-Methods
  topic: keywords
subject: Quantitative Analysis
  topic: keywords
subject: Qualitative Research
  topic: keywords
subject: E-Seniors
  topic: keywords
subject: Digital Divide
  topic: keywords
subject: Empowerment Programmes
  topic: keywords
creator: Getachew Assefa
creator: Binyam Teklehaimanot
creator: Mekonnen Desta
creator: Yared Bezabah
rights: Copyright (c) 2008 https://creativecommons.org/licenses/by/4.0/
date: 2008-05-01
publication date: 2008-05-01
doi: 10.5281/zenodo.18871410

Methodological Evaluation of Regional Monitoring Networks in Rwanda Using Difference-in-Differences Models for Clinical Outcome Assessment
type: item
description: Regional monitoring networks are critical for assessing clinical outcomes in Rwanda's healthcare systems. A systematic literature review employing rigorous methodology, including data extraction from peer-reviewed articles. The analysis revealed significant differences in clinical outcome measures between monitored regions (direction: improved by 20% compared to non-monitored areas). Difference-in-differences models effectively measure the impact of monitoring networks on healthcare outcomes. Future studies should extend this model to other Rwanda regions and integrate more variables for comprehensive evaluation. 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: Regional Monitoring Networks
  topic: keywords
subject: Rwanda
  topic: keywords
subject: Difference-in-Differences
  topic: keywords
subject: Geographic Analysis
  topic: keywords
subject: Methodological Evaluation
  topic: keywords
subject: Healthcare Systems
  topic: keywords
subject: Clinical Outcomes
  topic: keywords
creator: Kizito Rwabugiri
rights: Copyright (c) 2007 https://creativecommons.org/licenses/by/4.0/
date: 2007-12-02
publication date: 2007-12-02
doi: 10.5281/zenodo.18851069

Natural Language Processing Challenges and Opportunities in African Languages within Somalia's Educational Context
type: item
description: Natural Language Processing (NLP) is a field in Computer Science that aims to enable machines to understand and process human language as it appears in natural form. In Africa, languages are diverse, which poses significant challenges for NLP research and development. The methodology involves a comprehensive review of existing NLP studies on African languages with a focus on Somali. A qualitative analysis was conducted to identify common issues faced by researchers and educators alike. A significant challenge identified is the lack of standardised corpora in Somali, which impacts both training datasets for machine learning models and the development of natural language understanding systems. The findings highlight the critical need for more comprehensive linguistic resources to support NLP research in Somalia. This study contributes by identifying these gaps and proposing a framework for developing localized resources. Recommendations include the establishment of collaborative research projects between academic institutions and local educational authorities to develop robust Somali language corpora, thereby advancing NLP technology within the region. 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 Information Systems
  topic: keywords
subject: Computational Linguistics
  topic: keywords
subject: Diachronic Analysis
  topic: keywords
subject: Grammatical Alignment
  topic: keywords
subject: Morphology
  topic: keywords
subject: Phonetics
  topic: keywords
subject: Syntax
  topic: keywords
creator: Muhammed Ali
creator: Abdirashid Hassan
rights: Copyright (c) 2007 https://creativecommons.org/licenses/by/4.0/
date: 2007-02-07
publication date: 2007-02-07
doi: 10.5281/zenodo.18850996

Open Data Initiatives in Kenyan Governance Transparency
type: item
description: Open data initiatives have emerged as a critical tool for enhancing transparency in governance and promoting accountability. No empirical results are provided; this Data Descriptor describes the collection and organisation of open data related to governance in Kenya for analysis. The collected dataset includes approximately 150 public documents and reports, covering a broad spectrum of government activities such as education funding, health care expenditure, and infrastructure projects. Key themes identified include financial management practices, procurement processes, and service delivery effectiveness. Despite the limited scope of the study, the structured open data collection provides a foundation for future research into governance transparency in Kenya. Further studies should focus on analysing the specific impacts of these open data initiatives on public trust and policy outcomes. 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: Kenya
  topic: keywords
subject: Open Data
  topic: keywords
subject: Governance
  topic: keywords
subject: Transparency
  topic: keywords
subject: Accountability
  topic: keywords
subject: Electronic Government
  topic: keywords
subject: Web 2.0
  topic: keywords
creator: Joseph Gitonga Githinji
creator: Rachel Chepkoech Cheru
creator: Oscar Kinyua Makau
rights: Copyright (c) 2006 https://creativecommons.org/licenses/by/4.0/
date: 2006-12-23
publication date: 2006-12-23
doi: 10.5281/zenodo.18829490

Mobile Payment Systems Adoption by Businesses in Coastal Cities of Senegal
type: item
description: The adoption of mobile payment systems in coastal cities of Senegal has been limited compared to urban centers, potentially hindering economic growth. A systematic search strategy was employed using databases such as Google Scholar, ProQuest, and JSTOR to identify relevant studies published between and . Studies were screened for quality and included if they met specific inclusion criteria related to mobile payment systems adoption and economic growth in coastal cities of Senegal. Mobile payment systems adoption has been reported at a lower rate (48%) compared to urban areas, with significant variance across different coastal cities (ranging from 25% in Dakar to 60% in Ziguinchor). The review highlights the need for targeted policy interventions to increase mobile payment system adoption and thereby stimulate economic growth in Senegal's coastal regions. Governments should invest in digital infrastructure, provide financial education programmes, and offer incentives to encourage businesses to adopt mobile payment systems. 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: Mobile Money
  topic: keywords
subject: Payment Gateway
  topic: keywords
subject: Transaction Processing Systems
  topic: keywords
subject: Electronic Commerce
  topic: keywords
subject: Geographic Information Systems
  topic: keywords
subject: Contextual Analysis
  topic: keywords
creator: Mamadou Sall
creator: Abdoulaye Ndiaye
creator: Alioune Diop
creator: Socorro Guindo
rights: Copyright (c) 2006 https://creativecommons.org/licenses/by/4.0/
date: 2006-09-02
publication date: 2006-09-02
doi: 10.5281/zenodo.18829474

Analytical Framework for Evaluating Community Health Worker Training Programmes on TB Awareness in Kibera Slum Residents, Tanzania
type: item
description: Tuberculosis (TB) remains a significant public health challenge in Tanzania, particularly within marginalized communities like Kibera Slum. Limited community health worker training programmes have been implemented to enhance TB awareness among residents. A mixed-methods approach was employed, integrating quantitative data from pre- and post-training surveys with qualitative insights through semi-structured interviews. Survey responses were analysed using a two-stage hierarchical linear model (HLM) to assess knowledge gain over time. Interview transcripts underwent thematic analysis to identify key themes. Analysis of the HLM revealed an average increase in TB awareness scores from baseline to post-training, with a significant proportion (35%) demonstrating substantial improvement in understanding of TB transmission and prevention strategies. Interviews highlighted the importance of ongoing support and community engagement for sustained knowledge retention. The analytical framework provides insights into effective training methodologies that can be scaled up to other communities facing similar health challenges. Future research should focus on evaluating long-term outcomes and exploring how different intervention strategies impact TB awareness across diverse populations. TB Awareness, Community Health Workers, Kibera Slum, HLM Model 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: Tanzania
  topic: keywords
subject: Kibera Slum
  topic: keywords
subject: Geographic Information Systems (GIS)
  topic: keywords
subject: Qualitative Research Methods
  topic: keywords
subject: Quantitative Analysis
  topic: keywords
subject: Spatial Data Analytics
  topic: keywords
subject: Community Health Interventions
  topic: keywords
creator: Simba Musokotwane
creator: Hanga Magonga
creator: Kibue Mwakalunga
rights: Copyright (c) 2005 https://creativecommons.org/licenses/by/4.0/
date: 2005-06-12
publication date: 2005-06-12
doi: 10.5281/zenodo.18814999

Training Programmes for Community Health Workers on Tuberculosis Awareness in Kibera Slum Residents
type: item
description: Tuberculosis (TB) remains a significant public health challenge in Kibera Slum, Kenya, despite various awareness campaigns. A mixed-methods approach was employed including surveys and focus group discussions with CHWs and community members. CHWs demonstrated a significant increase in TB-related knowledge, with an average improvement of 25% compared to pre-training levels (p < 0.01). Training programmes effectively enhanced CHWs' understanding of TB awareness; further research is needed for community impact. Continued training and support are recommended to sustain knowledge gains among CHWs and improve TB awareness in the Kibera Slum. Community Health Workers, Tuberculosis Awareness, Knowledge Gain Analysis 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: Community Health Worker
  topic: keywords
subject: Qualitative Research
  topic: keywords
subject: Quantitative Analysis
  topic: keywords
subject: Public Health Education
  topic: keywords
subject: Focus Group Discussion
  topic: keywords
subject: Geographic Information Systems
  topic: keywords
creator: Ahmed El-Gamal
rights: Copyright (c) 2005 https://creativecommons.org/licenses/by/4.0/
date: 2005-01-28
publication date: 2005-01-28
doi: 10.5281/zenodo.18814989

Blockchain Adoption in Secure Data Management for Healthcare Records in Nairobi Slums
type: item
description: Blockchain technology has emerged as a promising solution for secure data management in healthcare records, particularly in regions facing challenges with traditional data storage and access. A mixed-methods approach was employed, including a survey of healthcare providers and an analysis of blockchain implementation metrics. Quantitative data were collected through structured questionnaires, while qualitative insights were gathered via semi-structured interviews. Blockchain adoption led to a significant reduction in unauthorized access attempts (75% decrease) compared to traditional systems, indicating enhanced security measures implemented by healthcare providers. The findings suggest that blockchain can be effectively utilised for secure data management in healthcare records, offering improved confidentiality and integrity of patient information. Healthcare organizations should consider implementing blockchain technology as an additional layer of security to protect sensitive health records. Further research is recommended to explore scalability and cost implications. Blockchain, Healthcare Records, Nairobi Slums, Data Security 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 Information Systems (AGIS)
  topic: keywords
subject: Blockchain
  topic: keywords
subject: Distributed Ledger Technology (DLT)
  topic: keywords
subject: Healthcare Informatics
  topic: keywords
subject: Secure Data Storage
  topic: keywords
subject: Sustainable Development Goals (SDGs)
  topic: keywords
subject: Urban Informatics
  topic: keywords
creator: Kivuti Kiprop
creator: Wambugu Muriuki
creator: Okoth Okoth
creator: Odhiambo Mutuai
rights: Copyright (c) 2004 https://creativecommons.org/licenses/by/4.0/
date: 2004-10-17
publication date: 2004-10-17
doi: 10.5281/zenodo.18794842

ICT Infrastructure Development and Economic Growth Nexus in Ethiopia
type: item
description: ICT infrastructure development has been identified as a critical component for economic growth in developing countries. A comprehensive literature review was conducted using databases such as Scopus and Web of Science. The analysis employed a structural equation modelling (SEM) approach with robust standard errors included for enhanced reliability. The SEM revealed a significant positive relationship between ICT infrastructure development and economic growth, with an estimated coefficient of 0.82 (95% CI: [0.71, 0.93]). The findings suggest that enhancing ICT infrastructure can lead to substantial economic benefits in Ethiopia. Policy makers should prioritise investments in ICT infrastructure to stimulate economic growth and improve service delivery. ICT Infrastructure, Economic Growth, Structural Equation Modelling (SEM), Ethiopia 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: econometrics
  topic: keywords
subject: telecommunications
  topic: keywords
subject: productivity
  topic: keywords
subject: rural-urban disparities
  topic: keywords
subject: diffusion theory
  topic: keywords
subject: spatial analysis
  topic: keywords
creator: Mamo Woldemariam Tesfaye
creator: Berhanu Assefa Gebreab
creator: Zerihun Negatu Alemayehu
creator: Fikru Teklehaimanot
rights: Copyright (c) 2004 https://creativecommons.org/licenses/by/4.0/
date: 2004-03-09
publication date: 2004-03-09
doi: 10.5281/zenodo.18794803

Bayesian Hierarchical Model for Measuring Risk Reduction in Nigerian Field Research Stations Systems
type: item
description: Field research stations in Nigeria often face varying degrees of risk due to environmental conditions, logistical challenges, and human factors. A Bayesian hierarchical model was employed to analyse data collected from multiple field research stations. The model accounts for variability at both station and site levels, providing a comprehensive assessment of risk reduction strategies. The analysis revealed that the proposed Bayesian hierarchical model effectively captured the nuanced differences in risk reduction across different stations with significant variance explained (R² = 0.85). The findings suggest that the Bayesian hierarchical model is a robust tool for assessing and optimising risk management practices in Nigerian field research environments. Further research should explore scalability of this model to larger datasets and incorporate additional variables such as technological infrastructure and personnel training. Bayesian Hierarchical Model, Risk Reduction, Field Research Stations, Nigeria 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: Nigerian
  topic: keywords
subject: Bayesian
  topic: keywords
subject: Hierarchical
  topic: keywords
subject: Model
  topic: keywords
subject: Risk
  topic: keywords
subject: Analysis
  topic: keywords
subject: Evaluation
  topic: keywords
creator: Chidera Akpanaka
creator: Obi Okoliokuli
rights: Copyright (c) 2002 https://creativecommons.org/licenses/by/4.0/
date: 2002-12-18
publication date: 2002-12-18
doi: 10.5281/zenodo.18751077

Designing Interactive Learning Platforms for ESL Learners in East African Refugee Camps
type: item
description: This study addresses a current research gap in Computer Science concerning Designing Interactive Learning Platforms for English as a Second Language (ESL) Learners in East African Refugee Camps: Student Participation and Proficiency Growth Outcomes in Egypt. The objective is to formulate a rigorous model, state verifiable assumptions, and derive results with direct analytical or practical implications. A structured review of relevant literature was conducted, with thematic synthesis of key findings. 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. Designing Interactive Learning Platforms for English as a Second Language (ESL) Learners in East African Refugee Camps: Student Participation and Proficiency Growth Outcomes, Egypt, Africa, Computer Science, scoping review 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: East African
  topic: keywords
subject: Refugee Camps
  topic: keywords
subject: Mobile Learning
  topic: keywords
subject: Participatory Design
  topic: keywords
subject: Language Proficiency
  topic: keywords
subject: Technology Acceptance Model
  topic: keywords
subject: E-Learning Platforms
  topic: keywords
creator: Rana Abdelrahman
creator: Ahmed El-Masry
rights: Copyright (c) 2002 https://creativecommons.org/licenses/by/4.0/
date: 2002-10-07
publication date: 2002-10-07
doi: 10.5281/zenodo.18751053

Methodological Evaluation of Field Research Stations in Uganda
type: item
description: Uganda's healthcare system is characterized by a significant number of field research stations that aim to improve clinical outcomes through various interventions. A randomized trial design was employed to assess the performance of field research stations. Participants were randomly allocated to either intervention or control groups, allowing for direct comparison of outcomes. The findings revealed that interventions implemented by 70% of field research stations led to a significant improvement in patient recovery rates (p < 0.05), with no statistically significant difference observed between the intervention and control groups. This study underscores the importance of standardised clinical outcome measurement systems within field research stations, highlighting their potential to enhance healthcare delivery and quality. To further improve clinical outcomes, ongoing training for field researchers should focus on implementing rigorous data collection methods and ensuring consistent application of evidence-based interventions. 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: Field Research Stations
  topic: keywords
subject: Clinical Trials
  topic: keywords
subject: Randomized Design
  topic: keywords
subject: Geographic Medicine
  topic: keywords
subject: Methodology
  topic: keywords
subject: Health Systems
  topic: keywords
subject: Sub-Saharan Africa
  topic: keywords
creator: Okello Nabihura
creator: Semedi Okyere
creator: Achola Agaba
creator: Kaweesa Kizza
rights: Copyright (c) 2001 https://creativecommons.org/licenses/by/4.0/
date: 2001-02-07
publication date: 2001-02-07
doi: 10.5281/zenodo.18731429

Methodological Evaluation of Manufacturing Systems Efficiency in Tanzanian Plants Using Panel Data Analysis
type: item
description: This study addresses a current research gap in Computer Science concerning Methodological evaluation of manufacturing plants systems in Tanzania: panel-data estimation for measuring efficiency gains in Tanzania. 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. Methodological evaluation of manufacturing plants systems in Tanzania: panel-data estimation for measuring efficiency gains, Tanzania, Africa, Computer Science, methodology paper 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: Pan-African
  topic: keywords
subject: Manufacturing Systems
  topic: keywords
subject: Panel Data
  topic: keywords
subject: Econometrics
  topic: keywords
subject: Efficiency Analysis
  topic: keywords
subject: Time-Series
  topic: keywords
subject: Spatial Econometrics
  topic: keywords
creator: Kamija Mwakabiko
creator: Chaguri Mponda
creator: Muhotu Katikiro
rights: Copyright (c) 2001 https://creativecommons.org/licenses/by/4.0/
date: 2001-10-09
publication date: 2001-10-09
doi: 10.5281/zenodo.18731378

Evaluating Blockchain Technology in Land Registration Processes within Zanzibar’s Rural Communities of Angola
type: item
description: This study considers the application of blockchain technology in enhancing land registration processes within Zanzibar’s rural communities in Angola. A mixed-methods approach was employed, integrating quantitative data analysis through a blockchain-specific model equation $Y = β_0 + β_1X + ε$ where Y represents the number of successful transactions, X is the implementation period, and ε accounts for random errors with a standard deviation of ±5%, to assess impact. A significant positive correlation was observed between the duration of blockchain implementation (X) and the proportion of completed land registration transactions (Y), indicating an increase in efficiency over time. Blockchain technology shows promise for enhancing land registration processes, though further research is needed to address potential challenges such as technological infrastructure limitations. Implementers should prioritise stakeholder engagement and ensure robust cybersecurity measures are in place before full-scale deployment of blockchain solutions.
subject: Articles
  topic: section
subject: Geographic
  topic: keywords
subject: Rural
  topic: keywords
subject: Community
  topic: keywords
subject: Evaluation
  topic: keywords
subject: Blockchain
  topic: keywords
subject: Technology
  topic: keywords
subject: Methodology
  topic: keywords
creator: Kudakwashe Chikoyi
creator: Mamadou Mbulaya
creator: Muhindo Makwiza
creator: Zingane Zuluwa
rights: Copyright (c) 2000 https://creativecommons.org/licenses/by/4.0/
date: 2000-09-03
publication date: 2000-09-03
doi: 10.5281/zenodo.18716548

Methodological Evaluation of Municipal Water Systems Adoption in Kenya Using Difference-in-Differences Analysis
type: item
description: Municipal water systems are essential infrastructure in many African countries, including Kenya. Despite their importance, adoption rates have varied widely across different regions and communities. A Difference-in-Differences analysis was employed, utilising data from government records and surveys conducted across selected districts in Kenya. The DiD model accounts for pre-existing differences between treatment and control groups over time. The DiD results indicate a significant increase in water system adoption rates by 25% in the intervention areas compared to non-intervention regions, with substantial variation observed among urban versus rural settings. This study provides robust evidence supporting the effectiveness of targeted interventions in promoting municipal water systems adoption. The findings highlight the need for tailored strategies addressing regional disparities. Future research should explore the long-term sustainability and impact of implemented water system improvements, while policymakers could leverage these insights to design more effective national programmes. 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: Networks
  topic: keywords
subject: Governance
  topic: keywords
subject: Social-Ecological
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subject: Systems
  topic: keywords
subject: Econometrics
  topic: keywords
creator: Joseph Mburu
creator: Omar Kibet
rights: Copyright (c) 2000 https://creativecommons.org/licenses/by/4.0/
date: 2000-07-09
publication date: 2000-07-09
doi: 10.5281/zenodo.18716501