Defence Forces Technical College

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https://repository.ndu.ac.ke/handle/123456789/36

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Browsing Defence Forces Technical College by Author "Luvanda, Anthony"

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    Bridging the Gender Divide in Digital Technology Courses and Careers in Kenya
    (2023) Luvanda, Anthony
    Kenya’s digital technology advancements—chief among them the mobile money transfer application referred to as Mpesa—has led to the country’s status as an emerging digital economy. However, the long strides in the move toward a fully-fledged digital economy are not reflected in the digital technology workforce with regard to gender balance. While digital technology careers are highly touted as the jobs of the future, women occupy less than 30 percent of digital technology positions in Kenya. The root cause of the problem can be traced to disadvantages that girls and young women accumulate throughout their years in education. This study takes a qualitative approach in trying to identify the root causes for the exclusion of girls and young women from digital technology courses at all levels of education—namely lower primary, upper primary, junior high school, senior high school, and the tertiary level in both rural and urban communities. The study identifies various cumulative factors that contribute to fewer women taking up digital technology courses, such as: inadequate infrastructure; insufficient staffing and training of digital technology personnel at learning institutions; the negative impact of gendered social norms; poor advocacy of digital technology careers and the absence of vocational counseling; and the lack of women role models. To increase the number of women in digital technology careers, we must improve institutional digital technology infrastructure at all levels of education, enhance the training of digital technology personnel within all levels of education, build girls’ interest in digital technology-related courses from the earliest years, increase digital technology advocacy and awareness among girls, and enhance vocational counseling on digital technology career.
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    Effective approaches for enhancing data management and semantic interoperability within the healthcare sector
    (2023) Harriet, Loice Tsinale; Mbugua, Samuel; Luvanda, Anthony
    In a variety of contexts, Big Data is widely used. In healthcare Big Data has its own characteristics, including heterogeneity, incompleteness, timeliness and durability, privacy, and ownership. To enhance health-related science, these features present a number of challenges for data storage, mining, and sharing. Big Data helps to understand electronic health records, gather demographic and medical data such as clinical data, medical conditions, and diagnosis, allow doctors to provide a wide variety of patients with quality health care and also to make informative decisions. The large volume of data also provides researchers in the fields of medicine and healthcare with the ability to use tools and techniques to unlock hidden solutions. This study sought to investigate the effects that the existing approaches have on enhancing data management and semantic interoperability in healthcare sector. 180 respondents who took part of the survey were chosen from the Kenyatta University Teaching, Referral & Research Hospital. It was discovered that implementing health standards and tools can help healthcare companies in a number of ways by eliminating compatibility concerns and assuring accurate data representation. Consequently, encouraging successful adoption boosts decision-making processes, encourages sustainability, improves data quality, allows for interoperability, and makes it easier to comply with regulations. These implications help improve patient care, healthcare systems, and overall health outcomes.