Enhancing Digital Literacy Performance in Rwanda Using Machine Learning: A Case Study of Irembo  

Enhancing Digital Literacy Performance in Rwanda Using Machine Learning: A Case Study of Irembo

在线阅读下载全文

作  者:Denise Ahishakiye Pacifi Nizeyimana Denise Ahishakiye;Pacifi Nizeyimana(Faculty of Information Technology, Adventist University of Central Africa, Kigali, Rwanda;Department of Information Technologies in Big Data Analytics, AUCA (African University of Central Africa), Kigali, Rwanda)

机构地区:[1]Faculty of Information Technology, Adventist University of Central Africa, Kigali, Rwanda [2]Department of Information Technologies in Big Data Analytics, AUCA (African University of Central Africa), Kigali, Rwanda

出  处:《Journal of Intelligent Learning Systems and Applications》2024年第4期430-447,共18页智能学习系统与应用(英文)

摘  要:This study explores the impact of digital literacy on adopting e-government services in Rwanda, focusing on the Irembo platform. The study addresses key gaps in the literature related to the digital divide and applies the Technology Acceptance Model (TAM) and Rogers’ Diffusion of Innovations theory. Using data from 2022 and 2023, This study employs k-means and hierarchical clustering to analyze application attributes processed through Irembo, including types, states, and prices. The findings reveal that, despite advancements in digital service delivery, disparities in access and digital literacy persist, particularly in rural areas. The study concludes with recommendations for enhancing digital literacy initiatives and improving e-government platform usability, which is essential for promoting inclusive access to public services and supporting Rwanda’s socio-economic development goals.This study explores the impact of digital literacy on adopting e-government services in Rwanda, focusing on the Irembo platform. The study addresses key gaps in the literature related to the digital divide and applies the Technology Acceptance Model (TAM) and Rogers’ Diffusion of Innovations theory. Using data from 2022 and 2023, This study employs k-means and hierarchical clustering to analyze application attributes processed through Irembo, including types, states, and prices. The findings reveal that, despite advancements in digital service delivery, disparities in access and digital literacy persist, particularly in rural areas. The study concludes with recommendations for enhancing digital literacy initiatives and improving e-government platform usability, which is essential for promoting inclusive access to public services and supporting Rwanda’s socio-economic development goals.

关 键 词:Digital Literacy E-Government Services K-MEANS Hierarchical Clustering Irembo Platform Rwanda Technology Acceptance Model (TAM) 

分 类 号:TP3[自动化与计算机技术—计算机科学与技术]

 

参考文献:

正在载入数据...

 

二级参考文献:

正在载入数据...

 

耦合文献:

正在载入数据...

 

引证文献:

正在载入数据...

 

二级引证文献:

正在载入数据...

 

同被引文献:

正在载入数据...

 

相关期刊文献:

正在载入数据...

相关的主题
相关的作者对象
相关的机构对象