https://ir.unisa.ac.za/handle/10500/460 Fri, 19 Jun 2026 17:13:43 GMT 2026-06-19T17:13:43Z https://ir.unisa.ac.za/handle/10500/32619 Exploring the impact of ai-powered mobile learning technologies: A systematic review from the education perspective Makhavhu, Phathutshedzo; Malungana - Mantsha, Lario; Phahlane, Dr. Mampilo; Malungana-mantsha, Lario Introduction: The emergence of artificial intelligence-powered mobile learning systems has significantly affected how individuals teach, learn and conduct various educational practices. The rapid expansion of these systems has gained popularity and interest among various educational categories worldwide.Objective: This study aims at exploring the impact of the artificial intelligence powered by mobile technologies.Methods: The study has adopted the use of systematic literature review adopting the PRISMA guidelines to highlight the current composition of literature on Artificial intelligence integration with mobile learning in educational settings from 2019 to 2024. methods. It was noted in the study that Asian geographical countries seem to be leading in the scholarly publication within the scope of this phenomenon. The review looked at different aspects such as keyword occurrence, authorship, publication countries, participants, types of mobile devices and educational practices, process delivery, and perceptions of end-users from using technologyResults: This study has discovered that from 67% of the 21 studies it was revealed that Artificial intelligence-powered mobile learning tools increased students' learning experience, developed higher levels of participation,Conclusion: It has been found that this is an opportunity to understand artificial intelligence current trends and how artificial intelligence integrated with mobile learning technology can be utilised in global education settings. Additionally, it is an opportunity to assist scholars in framing the direction of future research studies, especially in developing countries located on the African continent.Contribution: This study will enhance understanding, knowledge acquisition, enhanced vocabulary skills for providing better students' academic performance and outcomes. Fri, 13 Jun 2025 00:00:00 GMT https://ir.unisa.ac.za/handle/10500/32619 2025-06-13T00:00:00Z https://ir.unisa.ac.za/handle/10500/32618 Review of IT Governance Frameworks Implementation in the Context of the South African Public Sector Mathase, Euphodia; Phahlane, Dr. Mampilo; Ochara, Nixon Muganda Public sector organisations are faced with the ethical demand to provide value, be transparent and accountable which however is the reverse for most public sector organisations. Over the years there has been attention on corporate governance and the focus of interest has been IT governance, with the crafting of IT governance frameworks such as the COSO, COBIT and ITIL etc. to help organisations to implement effective IT governance framework. This research focuses on how IT governance is adopted in the public sector, what factors affect the implementation of IT governance in the public sector and the implementation tools available. A desk research method was used for the vast amount of data to review how organisations are faring in the implementation of IT governance frameworks. The research was a qualitative research. The research findings reflect that there are challenges in implementing IT governance in most public sector organisations because of factors ranging from weak corporate governance, financial constraints, lack of interest and innovation, large size of most of the public sector organisations, making the control structure too broad for the Boards, and political reasons. Most public sector organisations are within the ad-hoc and fragmented maturity levels of IT Governance. The researcher recommends further research on the failure to enforce and make compulsory the implementation of IT governance in public sector. Thu, 21 Nov 2019 00:00:00 GMT https://ir.unisa.ac.za/handle/10500/32618 2019-11-21T00:00:00Z https://ir.unisa.ac.za/handle/10500/32617 KMS Adoption and Use in a Municipality: A Proposed Framework Based on Organizational Culture Theory (OCT) Matshwane, Tshegofatso T; Phahlane, Dr. Mampilo; Ochara, Nixon Muganda The need for Knowledge Management Systems (KMS) in South African Metropolitan Municipalities has certainly become heightened in recent years. In the case of this study, City of Johannesburg Metropolitan Municipality (CoJ) is used as a case study. The main aim of the KMS is to ensure that relevant organisational experiences and knowledge generated both internally and externally are captured and shared to achieve strategic objectives of the organisation. The Organizational Culture Theory (OCT) has not been used much in South Africa, particularly with knowledge management systems. This paper intends to contribute to the South African literature through this study by using OCT to develop the KMS Adoption and Use (KMSAU) Framework. Thu, 21 Nov 2019 00:00:00 GMT https://ir.unisa.ac.za/handle/10500/32617 2019-11-21T00:00:00Z https://ir.unisa.ac.za/handle/10500/32616 Structuration theory perspective of Big Data in a typical South African municipality Kgoale, P Modjadji; Phahlane, Dr. Mampilo Background Big Data, sourced from various digital sources, offers valuable insights for better decision-making, and organisations are implementing Big Data technologies to improve their services. This article is about how the City of Tshwane (CoT), a South African metropolitan municipality is using data collected from its various information and communication technology (ICT) projects to improve decision-making. Objectives The study aims to identify the type of Big Data generated by South African municipalities and to establish ways in which knowledge, expertise and suitable management techniques impact the efficient application of Big Data in these municipalities. Method A qualitative approach, a case study method and Semi-structured interviews were deemed fit to collect data while thematic analysis was employed to identify patterns and themes associated with participants’ experiences. Structuration Theory was used to analyse existing social structures that govern how Big Data is used in the CoT. Results There is a lack of data integration and a Big Data management system in the CoT. However, the CoT is ready to embrace Big Data and it is currently establishing a unit to effectively analyse collected data. Conclusion Big Data’s potential for developing effective data management systems has garnered significant attention in the public sector and the CoT is also ready to fully adopt and implement these technologies. Wed, 22 May 2024 00:00:00 GMT https://ir.unisa.ac.za/handle/10500/32616 2024-05-22T00:00:00Z