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<title>School of Engineering and Technology (JA)</title>
<link href="http://repository.mut.ac.ke:8080/xmlui/handle/123456789/42" rel="alternate"/>
<subtitle/>
<id>http://repository.mut.ac.ke:8080/xmlui/handle/123456789/42</id>
<updated>2026-04-07T13:12:22Z</updated>
<dc:date>2026-04-07T13:12:22Z</dc:date>
<entry>
<title>THE INFLUENCE OF EDUCATION REFORMS ON THE EVOLUTION OF TECHNOLOGY EDUCATION: A CASE OF TVET INSTITUTIONS IN KENYA</title>
<link href="http://repository.mut.ac.ke:8080/xmlui/handle/123456789/6804" rel="alternate"/>
<author>
<name>Biketi, Felix Quentin</name>
</author>
<id>http://repository.mut.ac.ke:8080/xmlui/handle/123456789/6804</id>
<updated>2026-03-23T12:29:56Z</updated>
<published>2025-01-01T00:00:00Z</published>
<summary type="text">THE INFLUENCE OF EDUCATION REFORMS ON THE EVOLUTION OF TECHNOLOGY EDUCATION: A CASE OF TVET INSTITUTIONS IN KENYA
Biketi, Felix Quentin
Education reforms have historically played a critical role in shaping the trajectory of technology education. This&#13;
study investigated the extent to which curriculum adjustments, policy frameworks, and pedagogical innovations&#13;
have influenced the development of technology education in Technical and Vocational Education and Training&#13;
(TVET) institutions. A mixed-methods approach was employed, collecting data from 120 instructors and 300&#13;
trainees across five TVET institutions in Nairobi County. Quantitative analysis involved descriptive statistics and&#13;
multiple regression, while qualitative insights were drawn from semi-structured interviews with administrators.&#13;
Results revealed that education reforms significantly influence technology education (β = 0.642, R² = 0.401, p &lt;&#13;
.001), with curriculum modernization and policy implementation emerging as the most impactful dimensions. The&#13;
findings conclude that reforms act as both drivers and enablers of technological integration, enhancing relevance,&#13;
innovation, and adaptability of technology education. Recommendations include aligning reforms with industry&#13;
standards, strengthening policy monitoring, and embedding flexibility into curricula.
</summary>
<dc:date>2025-01-01T00:00:00Z</dc:date>
</entry>
<entry>
<title>The Influence of Cost on The Evolution of Technology Education: Evidence From Murang’a University of Technology, Kenya</title>
<link href="http://repository.mut.ac.ke:8080/xmlui/handle/123456789/6802" rel="alternate"/>
<author>
<name>Biketi, Felix Quentin</name>
</author>
<id>http://repository.mut.ac.ke:8080/xmlui/handle/123456789/6802</id>
<updated>2026-03-23T12:25:16Z</updated>
<published>2025-01-01T00:00:00Z</published>
<summary type="text">The Influence of Cost on The Evolution of Technology Education: Evidence From Murang’a University of Technology, Kenya
Biketi, Felix Quentin
The evolution of technology education in Kenya has been influenced by multiple factors, among which cost&#13;
remains a critical determinant. This study examined the influence of cost on the evolution of technology education&#13;
at Murang’a University of Technology. A mixed-method design was adopted, collecting data from 120&#13;
respondents, including students, academic staff, and administrative staff. Data were analyzed using descriptive&#13;
statistics, Pearson correlation, and linear regression. Findings revealed that high tuition fees, inadequate&#13;
government funding, and the rising cost of infrastructure significantly constrain the evolution of technology&#13;
education. Regression results indicated that cost explained 38.2% of the variance in technology education&#13;
development (R² = .382, β = .618, p &lt; .01). The study concludes that affordability and sustainable financing&#13;
mechanisms are essential for advancing technology education. It recommends enhanced government subsidies,&#13;
expansion of financial aid schemes, and university–industry partnerships to mitigate cost barriers.
</summary>
<dc:date>2025-01-01T00:00:00Z</dc:date>
</entry>
<entry>
<title>The Relationship between Bond Strength and Critical Penetration Depth of Rust in Reinforced Concrete Structures</title>
<link href="http://repository.mut.ac.ke:8080/xmlui/handle/123456789/6801" rel="alternate"/>
<author>
<name>Mogire, Philip</name>
</author>
<author>
<name>Mwero, John</name>
</author>
<author>
<name>Abuodha, Silvester</name>
</author>
<author>
<name>Mang’uriu, Geoffrey</name>
</author>
<id>http://repository.mut.ac.ke:8080/xmlui/handle/123456789/6801</id>
<updated>2026-03-23T12:24:11Z</updated>
<published>2021-01-01T00:00:00Z</published>
<summary type="text">The Relationship between Bond Strength and Critical Penetration Depth of Rust in Reinforced Concrete Structures
Mogire, Philip; Mwero, John; Abuodha, Silvester; Mang’uriu, Geoffrey
Bond strength and critical penetration depth of rust are major factors that affect the service life of reinforced&#13;
concrete structures. This research endevoured to establish a relationship between the bond strength and critical&#13;
penetration depth of rust for reinforced concrete structures. There are 7 brands of Cem 1 cement in Kenya available&#13;
for use in concrete structures. To achieve the desired objective, three Cem 1 cement brands (Cem A, B and C), fine&#13;
aggregates, coarse aggregates and steel were obtained from the local Kenyan market. The chemical and physical&#13;
properties of the materials were investigated. For a selected design strength of 25N/mm2&#13;
, concrete materials were&#13;
batched by weight and mixed by an electric pan mixer. For each brand of cement 9 cubes of size 150mm * 150mm&#13;
* 150mm for a compression test, 9 cylinders of 150mm * 300mm for tensile strength and 9 cylinders of 150mm *&#13;
300mm for bond strength were cast. After 24 hours, the cast specimens were demoulded and immersed in curing&#13;
tanks for 27 days. Specimens for compression, split tensile and bond strength were tested at 7,14 and 28 days.&#13;
From the results, it was observed that the chemical composition of Cem 1 brands in the Kenyan market vary, which&#13;
affects the hardening properties of concrete. A model for the critical penetration depth of rust in reinforced&#13;
concrete was proposed by establishing a correlation between the spilt tensile and bond strength and substituting it&#13;
in the Xu and Shayan model. The proposed and published models compared well. From the proposed model, a&#13;
relationship between the critical penetration depth and bond strength was established. It was noted that the critical&#13;
penetration depth increased with an increase in the bond strength of reinforced concrete. The results of this&#13;
research are expected to contribute to the modeling of the service life of reinforced concrete structures.
</summary>
<dc:date>2021-01-01T00:00:00Z</dc:date>
</entry>
<entry>
<title>Risk Factors for Road Crashes in Nairobi County, Kenya</title>
<link href="http://repository.mut.ac.ke:8080/xmlui/handle/123456789/6800" rel="alternate"/>
<author>
<name>Biketi, Felix Quentin</name>
</author>
<id>http://repository.mut.ac.ke:8080/xmlui/handle/123456789/6800</id>
<updated>2026-03-23T12:18:52Z</updated>
<published>2019-01-01T00:00:00Z</published>
<summary type="text">Risk Factors for Road Crashes in Nairobi County, Kenya
Biketi, Felix Quentin
Road crash in the Transport Industry are a threat to public health and national development in many developing countries.&#13;
They contribute to poverty by causing deaths, injuries, disabilities, grief, lost of productivity and material damages. The&#13;
study was undertaken at Nairobi County, with specific focus on Nairobi Hospital, Nairobi County, Hospitals, (BCH), Nairobi&#13;
police station, Nairobi Police station, County’s department of Transport / accidents and some road terminus in Nairobi&#13;
County. This study seeks to identify risk factors for road crashes in transport industry in Nairobi County. To find the&#13;
relationship between speed of a vehicle and road crashes by applying power model to estimate the effects of road crashes.&#13;
This study seeks to answer the following questions; do the speed of vehicle and risk factors are adequate reasons for&#13;
perpetual road crashes in Kenya especially in Nairobi County? The results obtained in this study, can be used by the road&#13;
safety authorities for planning and evaluating road safety measures. The methodology and procedure for data collection&#13;
was based on both qualitative and quantitative approach. Interviews, focus group discussions, observations and review of&#13;
secondary data, were collected accordingly; some data were subjected to power model to estimate the road crashes effects.&#13;
The data will be used by the stake holders to develop interventions to mitigate road crashes in the Transport Industry. The&#13;
data obtained in this study can be used by the road safety authorities for planning and evaluating road safety measures.&#13;
Statistical analyses of data were done by descriptive statistics employing the measures of central tendencies, frequency&#13;
distributions, difference between a set of observed frequencies and a corresponding expected frequency.
</summary>
<dc:date>2019-01-01T00:00:00Z</dc:date>
</entry>
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