<?xml version="1.0" encoding="UTF-8"?>
<feed xmlns="http://www.w3.org/2005/Atom" xmlns:dc="http://purl.org/dc/elements/1.1/">
<title>Department of Technology Education</title>
<link href="http://41.89.164.27:8080/xmlui/handle/123456789/318" rel="alternate"/>
<subtitle/>
<id>http://41.89.164.27:8080/xmlui/handle/123456789/318</id>
<updated>2026-05-29T23:01:51Z</updated>
<dc:date>2026-05-29T23:01:51Z</dc:date>
<entry>
<title>ERROR PROPAGATION APPROACH IN ASSESSMENT OF BOILER EMISSIONS  UNCERTAINITIES FOR TEA FACTORIES IN KENYA</title>
<link href="http://41.89.164.27:8080/xmlui/handle/123456789/2703" rel="alternate"/>
<author>
<name>Kamunge, Moses</name>
</author>
<author>
<name>Okemwa, Peter</name>
</author>
<author>
<name>Nangendo, Isaac</name>
</author>
<id>http://41.89.164.27:8080/xmlui/handle/123456789/2703</id>
<updated>2026-05-28T12:45:10Z</updated>
<published>2025-01-01T00:00:00Z</published>
<summary type="text">ERROR PROPAGATION APPROACH IN ASSESSMENT OF BOILER EMISSIONS  UNCERTAINITIES FOR TEA FACTORIES IN KENYA
Kamunge, Moses; Okemwa, Peter; Nangendo, Isaac
Many tea factories in Kenya still heavily rely on fuelwood for energy, leading to the release of carbon dioxide (CO2)  and  other  pollutants,  impacting  the  environment,  and contributing  to  climate  change.  This  study  focuses  on understanding  how  errors  in  boiler  emission  measurement  tools,  specifically  flow  meters,  flue  gas  analyzers,  and temperature sensors, propagate and affect the accuracy of emissions data, potentially complicating regulatory efforts and environmental assessments. In a bid to address  the aforementioned issue, measurement data of the boilers under study were collected over six distinct periods from selected tea factories in Kenya, which captured a wide range of operational conditions. With  the application of novel  standard error propagation techniques,  the uncertainties associated  with each instrument  in  the  measurements  were  considered. Results  in  this  research revealed  that  significant variations  in  gas emissions  readings,  primarily  due  to  errors  from  the  instruments  and  general  environmental  fluctuations,  such  as temperature  and  humidity  This  paper  centered  on  emissions  of  carbon  dioxide,  nitrogen  oxides  sulphur  oxides  and particulate matter and further explicated the effect of error propagation, showing how minor variations in sensor accuracy resulted in substantial change in under or overestimation of emissions levels. Findings in this study underscore the need for constant protocols in calibrations and the application of real-time correction methods within the equipment of boiler emissions monitoring. The analysis in this research showed that the current measurement systems might not adequately support compliance with the environmental regulations, which thereby threatens human life. Finally, concludes that the establishment of more robust methods of calibration practices in Kenya tea factories, the adoption of advanced monitoring equipment and technologies, and the adoption of real-time processes in data analysis work well to improve and mitigate errors  emanating  from  measurement  instruments.  These  recommendations  aim  to  improve  measurement  accuracy, resulting  in  sustainable  environmental  practices  in  Kenya's  tea  industry  and,  by  extension,  contributing  to  climate mitigation
</summary>
<dc:date>2025-01-01T00:00:00Z</dc:date>
</entry>
<entry>
<title>FUZZY LOGIC OPTIMIZATION OF MOISTURE CONTENT IN BOILER WOOD  FUEL OF A TEA PROCESSING FACTORY IN KENYA.</title>
<link href="http://41.89.164.27:8080/xmlui/handle/123456789/2702" rel="alternate"/>
<author>
<name>Kamunge, Moses</name>
</author>
<author>
<name>Okemwa, Peter</name>
</author>
<author>
<name>Nangendo, Isaack</name>
</author>
<id>http://41.89.164.27:8080/xmlui/handle/123456789/2702</id>
<updated>2026-05-28T12:35:28Z</updated>
<published>2025-03-01T00:00:00Z</published>
<summary type="text">FUZZY LOGIC OPTIMIZATION OF MOISTURE CONTENT IN BOILER WOOD  FUEL OF A TEA PROCESSING FACTORY IN KENYA.
Kamunge, Moses; Okemwa, Peter; Nangendo, Isaack
This research investigates the use of fuzzy logic to optimize the moisture content of wood fuel used for boilers in Kenya's&#13;
tea processing factories. Moisture levels are crucial as they influence combustion efficiency, energy production, and&#13;
emissions levels. Integration of a fuzzy logic control system into the wood-fired boiler significantly reduced the moisture&#13;
content from an initial 23% to a more optimal 18%, as determined by simulation outcomes. This 5% reduction in&#13;
moisture content was accomplished through the dynamic adjustment of various boiler operating parameters, in this&#13;
case, fuel feed rate, combustion airflow, and steam pressure, integrating a fuzzy logic algorithm that drew insights from&#13;
both expert and real-time sensory data. The simulated operation of the fuzzy logic control system showed an&#13;
enhancement in boiler efficiency of up to 81%, a decrease in emissions of up to 178g/kWh, and an overall improvement&#13;
in system reliability, thereby demonstrating the efficacy of integrating fuzzy logic in wood-fired boiler for enhancing&#13;
performance and addressing moisture-related challenges.
</summary>
<dc:date>2025-03-01T00:00:00Z</dc:date>
</entry>
<entry>
<title>Influence of Alignment of Interests on TVET–Industry Collaboration in Trans-Nzoia County, Kenya</title>
<link href="http://41.89.164.27:8080/xmlui/handle/123456789/2693" rel="alternate"/>
<author>
<name>Chepkwony, Ezekiel</name>
</author>
<author>
<name>Wanami, Simon</name>
</author>
<author>
<name>Okari, Florence</name>
</author>
<id>http://41.89.164.27:8080/xmlui/handle/123456789/2693</id>
<updated>2026-05-28T08:10:11Z</updated>
<published>2025-01-01T00:00:00Z</published>
<summary type="text">Influence of Alignment of Interests on TVET–Industry Collaboration in Trans-Nzoia County, Kenya
Chepkwony, Ezekiel; Wanami, Simon; Okari, Florence
Collaboration between Technical and Vocational Education and Training (TVET) institutions and industryiscritical for aligning skills development with labor market needs. However, misalignment of interests betweenthesestakeholders undermines the ef ectiveness of partnerships, leading to skill gaps and reduced employability of graduates. Thisstudy sought to examine the influence of alignment of interests on TVET–industry collaboration in Trans-Nzoia County. Thestudy was anchored on Institutional Theory by Meyer and Rowan (1977). The study adopted a descriptive survey researchdesign. The target population comprised 33 TVET institutions, 5 principals, 333 trainers, and 28 industry representatives. Using stratified and proportionate sampling guided by Krejcie and Morgan’s formula, a sample of 178 respondentswasdrawn. Data were collected using structured questionnaires and interview schedules. Validity was ensured throughexpert review, while reliability was confirmed using Cronbach’s alpha coef icients above the acceptable thresholdof 0.70. Quantitative data were analyzed using descriptive and inferential statistics, while qualitative data underwent thematicanalysis. The findings revealed that limited stakeholder consultations, dif ering operational priorities, and inadequatefeedback mechanisms significantly hindered collaboration. The study concluded that sustained engagement, joint planning, and transparent communication are essential for harmonizing interests. Recommendations include establishingjoint&#13;
curriculum review committees, developing formal collaboration frameworks, conducting regular stakeholder forums, andenhancing information-sharing systems. These measures, if implemented, can strengthen TVET–industry linkages andimprove graduate readiness for the job market.
</summary>
<dc:date>2025-01-01T00:00:00Z</dc:date>
</entry>
<entry>
<title>Association Of Quality Leadership With Educational Outcomes In Technical And Vocational Education And Training Colleges In  Uganda</title>
<link href="http://41.89.164.27:8080/xmlui/handle/123456789/2691" rel="alternate"/>
<author>
<name>Muhwezi, Loy</name>
</author>
<author>
<name>Ferej, Ahmed</name>
</author>
<author>
<name>Kiplagat, Hoseah</name>
</author>
<id>http://41.89.164.27:8080/xmlui/handle/123456789/2691</id>
<updated>2026-05-28T07:08:35Z</updated>
<published>2025-09-01T00:00:00Z</published>
<summary type="text">Association Of Quality Leadership With Educational Outcomes In Technical And Vocational Education And Training Colleges In  Uganda
Muhwezi, Loy; Ferej, Ahmed; Kiplagat, Hoseah
The aim of quality assurance practices in educational institutions is to enhance the outcomes of any&#13;
education system. This study focused on assessing the association of quality leadership with educational outcomes in&#13;
public TVET colleges in Uganda. A cross sectional survey design and stratified random sampling with a lottery approach&#13;
were used. A closed-ended questionnaire was used to collect data from 102 trainers, and was analysed using SPSS version&#13;
25 to generate both zero-order correlations and regression results. The findings show that quality leadership is important&#13;
(Grand mean=3.7693, SD=.59219), and was reflected in the high awareness of the vision, mission, objectives and values&#13;
of the college (mean=4.1528, SD=.92933) by respondents. The correlation analysis revealed a significant positive&#13;
association between leadership and educational outcomes (r=0.764, P&lt;0.01). It also revealed a significant positive&#13;
leadership influence on educational outcomes (Beta=0.764, P&lt;0.01). Regression analysis revealed that quality leadership&#13;
accounted for 57.8% of the variation in educational outcomes. The study concluded that effective leadership is vital for&#13;
improving educational outcomes in public TVET colleges in Uganda. The study recommends enhanced collaborative and&#13;
participatory engagements with college stakeholders; adherence to established policies, strategies and regulations;&#13;
establishing effective quality assurance mechanisms and frameworks such as periodical self-assessments, for continuous&#13;
improvement and enhancement of quality outcomes. This study informs practical application of quality leadership to&#13;
enhance educational outcomes in public TVET colleges in Uganda.
</summary>
<dc:date>2025-09-01T00:00:00Z</dc:date>
</entry>
<entry>
<title>EFFECTIVENESS OF OUTCOME – BASED MECHANICAL ENGINEERING TECHNICIAN TRAINING IN PUBLIC TECHNICAL VOCATIONAL EDUCATION AND TRAINING INSTITUTIONS IN  MOUNT KENYA REGION</title>
<link href="http://41.89.164.27:8080/xmlui/handle/123456789/2677" rel="alternate"/>
<author>
<name>MAINGI, APOLLO MUOKI</name>
</author>
<id>http://41.89.164.27:8080/xmlui/handle/123456789/2677</id>
<updated>2026-05-11T10:39:09Z</updated>
<published>2025-01-01T00:00:00Z</published>
<summary type="text">EFFECTIVENESS OF OUTCOME – BASED MECHANICAL ENGINEERING TECHNICIAN TRAINING IN PUBLIC TECHNICAL VOCATIONAL EDUCATION AND TRAINING INSTITUTIONS IN  MOUNT KENYA REGION
MAINGI, APOLLO MUOKI
Outcome-Based Education (OBE) is increasingly recognized as a transformative&#13;
approach in technical vocational education and training (TVET), ensuring alignment&#13;
between education and workforce competencies. This study examined the&#13;
effectiveness of OBE implementation in mechanical engineering technician courses&#13;
within public TVET institutions in Kenya’s Mount Kenya region. The research&#13;
focused on four key objectives: (1) assessing the effectiveness of training in achieving&#13;
OBE learning objectives, (2) evaluating curriculum alignment with the OBE&#13;
framework, (3) examining teaching methods that enhance OBE implementation, and&#13;
(4) determining the impact of assessment methods on OBE effectiveness. Targeting&#13;
TVET institutions with a population of principals, department heads, trainers, and&#13;
mechanical engineering trainees, the study used a descriptive survey approach. Out of&#13;
the 1,120 people in the population, 288 respondents were chosen using Krejcie and&#13;
Morgan&amp;#39;s (1970) sampling technique. Using proportionate simple random sampling,&#13;
the sample consisted of 256 trainees, 4 principals, 4 department heads, and 24&#13;
trainers. Structured questionnaires and interviews were used to gather data, and SPSS&#13;
Version 29 was used for both descriptive and inferential statistics analysis (Pearson&#13;
Correlation). Important conclusions showed that OBE efficacy and a number of&#13;
characteristics were strongly positively correlated: Trainers (r=0.856, p=0.000) and&#13;
trainees (r=0.849, p=0.000) both concurred that learning objectives had a major&#13;
impact on OBE success. Both trainers (r=0.907, p=0.000) and trainees (r=0.874,&#13;
p=0.000) attested to the importance of curriculum alignment in implementing OBE&#13;
successfully. Teaching strategies and OBE efficacy were shown to be strongly&#13;
correlated (trainers: r=0.882, p=0.000; trainees: r=0.757, p=0.000). Methods of&#13;
Assessment: According to trainers (r=0.896, p=0.000) and trainees (r=0.747,&#13;
p=0.000), evaluation techniques had a major effect on OBE results. All things&#13;
considered, the study showed that OBE in mechanical engineering training increased&#13;
institutional success, generated competent graduates, and improved syllabus delivery&#13;
(mean score: 3.61, SD: 0.887).The study recommends that TVET institutions should&#13;
strengthen partnerships with the TVET Authority (TVETA) and the Technical and&#13;
Vocational Education and Training Curriculum Development, Assessment and&#13;
Certification Council (TVET - CDACC) to ensure effective OBE program delivery.,&#13;
academic boards should periodically review and adjust curricula to better support&#13;
OBE frameworks, institutions should continue adopting a mix of formative and&#13;
summative assessments to evaluate training effectiveness in meeting OBE goals.
</summary>
<dc:date>2025-01-01T00:00:00Z</dc:date>
</entry>
<entry>
<title>Digital Literacy as a Predictor of Graduate Employability in the 4th Industrial Revolution: A Review of Higher Learning Institutions in Kenya</title>
<link href="http://41.89.164.27:8080/xmlui/handle/123456789/2630" rel="alternate"/>
<author>
<name>Chola, Raphael</name>
</author>
<id>http://41.89.164.27:8080/xmlui/handle/123456789/2630</id>
<updated>2026-05-05T10:29:59Z</updated>
<published>2026-04-01T00:00:00Z</published>
<summary type="text">Digital Literacy as a Predictor of Graduate Employability in the 4th Industrial Revolution: A Review of Higher Learning Institutions in Kenya
Chola, Raphael
Digital literacy has become a key determinant of graduate employability in&#13;
Kenya’s higher education system as labour markets increasingly demand&#13;
competencies aligned with the 4th Industrial Revolution. However, many&#13;
higher learning institutions continue to produce graduates with insufficient&#13;
digital skills due to weak infrastructure, outdated curricula, and limited&#13;
industry integration, leading to a persistent mismatch between training&#13;
outcomes and employer expectations. This study examined the relationship&#13;
between digital literacy and graduate employability within Kenya’s higher&#13;
learning institutions including universities, national polytechnics, and&#13;
specialized Technical and Vocational Education and Training (TVET)&#13;
institutions in the context of the Fourth Industrial Revolution. It employed an&#13;
integrative review design to synthesize empirical studies, theoretical literature,&#13;
and policy documents drawn from peer-reviewed databases such as Google&#13;
Scholar, JSTOR, ScienceDirect, Emerald Insight, and African Journals OnLine,&#13;
alongside institutional repositories and national policy frameworks. The&#13;
review focused on literature published within the last decade to capture&#13;
current developments in emerging technologies, including artificial&#13;
intelligence, big data, and the Internet of Things, within higher education and&#13;
labour market systems. Data were analysed using thematic synthesis, guided&#13;
by three core dimensions: availability and accessibility of digital infrastructure in higher learning institutions, alignment of academic programmes with 4IR&#13;
labour market demands, and structural barriers influencing digital literacy&#13;
acquisition among graduates. Digital literacy emerged as a significant,&#13;
multidimensional predictor of employability, with graduates possessing&#13;
advanced digital competencies securing formal employment up to 40% faster&#13;
than peers with traditional academic qualifications alone. Despite enabling&#13;
policy architectures such as the Competency-Based Education and Training&#13;
framework and the Kenya Digital Economy Strategy, systemic barriers&#13;
including inadequate digital infrastructure, uneven instructor preparedness,&#13;
structural curriculum lag, and fragmented industry-academia collaboration&#13;
persisted across all institutional categories. Significant deficiencies were&#13;
identified in advanced competencies including data analytics, artificial&#13;
intelligence application, cybersecurity, and the Internet of Things. The study&#13;
concludes that strengthening digital literacy integration requires coordinated&#13;
reforms across policy, institutional practice, and industry partnerships to&#13;
enhance graduate readiness for the evolving 4IR labour market.
</summary>
<dc:date>2026-04-01T00:00:00Z</dc:date>
</entry>
<entry>
<title>Pedagogical Approaches and Institutional Factors Influencing Skills Acquisition for Labour Market Integration in TVET Institutions in Kenya: A  Systematic Review</title>
<link href="http://41.89.164.27:8080/xmlui/handle/123456789/2629" rel="alternate"/>
<author>
<name>Chola, Mwasi Raphael</name>
</author>
<author>
<name>Wanami, Simon</name>
</author>
<id>http://41.89.164.27:8080/xmlui/handle/123456789/2629</id>
<updated>2026-05-05T10:20:36Z</updated>
<published>2026-03-01T00:00:00Z</published>
<summary type="text">Pedagogical Approaches and Institutional Factors Influencing Skills Acquisition for Labour Market Integration in TVET Institutions in Kenya: A  Systematic Review
Chola, Mwasi Raphael; Wanami, Simon
Technical and Vocational Education and Training (TVET) sector in Kenya constitutes&#13;
a strategic pillar of the country's industrialization agenda under Vision 2030 and the&#13;
Bottom-Up Economic Transformation Agenda. As the government intensifies efforts&#13;
to reposition TVET as a pathway to meaningful employment, concerns persist&#13;
regarding the alignment between institutional training outputs and labour market&#13;
requirements. Despite growing empirical attention to factors affecting training&#13;
quality, no comprehensive synthesis has examined how pedagogical approaches and&#13;
institutional capacities collectively shape skills acquisition and subsequent labour&#13;
market integration. This gap limits evidence-based policy formulation for enhancing&#13;
TVET graduate employability. This systematic review examined pedagogical&#13;
approaches, institutional capacities, and their interactions influencing skills&#13;
acquisition and labour market integration outcomes for TVET graduates in Kenya.&#13;
The study was guided by ecological systems and situated learning theories. Following&#13;
PRISMA 2020 guidelines, comprehensive searches of Scopus, Web of Science, ERIC,&#13;
ProQuest, Google Scholar, AJOL, and Kenyan institutional repositories identified 872&#13;
records. After screening and eligibility assessment, 55 empirical studies (2010–2026)&#13;
were synthesized. The study utilized standardized tools for data extraction and&#13;
quality appraisal, primarily employing narrative synthesis. Despite CBET policy&#13;
mandates, lecture-based pedagogies persisted (86.5% of instructors) due to resource&#13;
constraints and trainer capacity deficits. Work-integrated learning demonstrated&#13;
superior employability outcomes yet remained limited by fragmented industry&#13;
partnerships. Institutional capacity constraints were systemic: 93.06% of trainers not&#13;
advancing qualifications, 72% lacking CBET-specific training, and graduation rates at&#13;
only 27% nationally. Regional disparities were pronounced, with graduates outside&#13;
Nairobi facing 54–69% lower formal employment odds. Positive interaction effects&#13;
occurred where institutional investments aligned with pedagogical reform employability rates increased from 73.97% to 80.3% in well-resourced institutions.&#13;
Pedagogical effectiveness and institutional capacity interact ecologically to&#13;
determine graduate outcomes. Policy ambitions for competency-based training&#13;
cannot succeed without concurrent investment in trainer development, infrastructure&#13;
modernization, and industry partnership institutionalization. Closing implementation&#13;
gaps requires recognizing that effective TVET depends upon aligned investments&#13;
across pedagogical, institutional, and labour market system levels.
</summary>
<dc:date>2026-03-01T00:00:00Z</dc:date>
</entry>
<entry>
<title>Influence of Increased Trainees’ Enrolment on Collaboration Between Industries and TVET Institutions in Public TVET Institutions in Uasin Gishu County, Kenya</title>
<link href="http://41.89.164.27:8080/xmlui/handle/123456789/2579" rel="alternate"/>
<author>
<name>Cheruiyot, Chepkurui Irine</name>
</author>
<author>
<name>Kyalo, Muthoka</name>
</author>
<author>
<name>Muyaka, Jafred</name>
</author>
<id>http://41.89.164.27:8080/xmlui/handle/123456789/2579</id>
<updated>2026-04-13T10:49:45Z</updated>
<published>2025-09-01T00:00:00Z</published>
<summary type="text">Influence of Increased Trainees’ Enrolment on Collaboration Between Industries and TVET Institutions in Public TVET Institutions in Uasin Gishu County, Kenya
Cheruiyot, Chepkurui Irine; Kyalo, Muthoka; Muyaka, Jafred
Technical and Vocational Education and Training (TVET) institutions play a central&#13;
role in producing a skilled workforce for Kenya’s growing economy. Recent&#13;
government initiatives to expand access have led to increased enrolments in public&#13;
TVET institutions, raising concerns about how this growth affects collaboration with&#13;
industries that are vital for practical skill development. This study examined the&#13;
influence of increased trainees’ enrolment on collaboration between industries and&#13;
public TVET institutions in Uasin Gishu County, Kenya. A descriptive research design&#13;
guided the study, targeting 17,800 trainees, 750 trainers, and 4 principals across four&#13;
institutions. Using stratified and simple random sampling, the study engaged 1,780&#13;
trainees, 75 trainers, and all four principals. Data were collected through&#13;
questionnaires and interviews, then analyzed using both descriptive statistics and&#13;
thematic analysis. Findings revealed that industrial attachment remains the most&#13;
common form of collaboration, followed by workshops, seminars, and limited&#13;
research partnerships. However, the effectiveness of these collaborations was rated&#13;
low, with 65.9% of trainees and 67.2% of trainers indicating that current industry&#13;
linkages were not effective. The main challenges included resource constraints,&#13;
technological gaps, limited time for industry engagement, and inconsistent support&#13;
for securing attachments. Principals further highlighted systemic barriers such as&#13;
understaffing, inadequate funding, and logistical difficulties that undermine&#13;
institutional capacity to sustain quality training amid rising enrolment. The study&#13;
concludes that while industry attachments dominate collaboration efforts, they are&#13;
insufficient to address the growing skill demands under increased enrolment. Strengthening partnerships through dual training models, co-designed curricula,&#13;
shared training facilities, and structured mentorship is necessary to enhance training&#13;
quality. The study recommends greater government support in aligning enrolments&#13;
with institutional capacity, expanded industry participation in training, and&#13;
investment in modern facilities to ensure TVET graduates are adequately prepared&#13;
for the labour market.
</summary>
<dc:date>2025-09-01T00:00:00Z</dc:date>
</entry>
<entry>
<title>Effects of Promoting Competency-Based Training on Building Solar Energy Skill Base among Electrical Engineering Trainees in Kakamega County, Kenya</title>
<link href="http://41.89.164.27:8080/xmlui/handle/123456789/2578" rel="alternate"/>
<author>
<name>Asembe, Patricia Usaji</name>
</author>
<author>
<name>Kiplagat, Hoseah</name>
</author>
<author>
<name>Kuto, Naomi</name>
</author>
<id>http://41.89.164.27:8080/xmlui/handle/123456789/2578</id>
<updated>2026-04-13T10:20:24Z</updated>
<published>2025-01-01T00:00:00Z</published>
<summary type="text">Effects of Promoting Competency-Based Training on Building Solar Energy Skill Base among Electrical Engineering Trainees in Kakamega County, Kenya
Asembe, Patricia Usaji; Kiplagat, Hoseah; Kuto, Naomi
Inadequate skilled labor in the renewable energy sector, particularly in solar energy, presents a significant challenge&#13;
to sustainable renewable energy achievement in Kenya. Despite the growing demand for solar energy solutions, many electrical&#13;
engineering trainees lack practical competencies to meet industry needs. The purpose of this study was to examine the effect&#13;
of promoting Competency-Based Education and Training (CBET) on building solar energy skill base among electrical&#13;
engineering trainees in Kakamega County. Anchored on the Human Capital Theory, the study adopted a descriptive research&#13;
design targeting a population of 108 electrical engineering trainees, from which a sample size of 108 respondents was selected.&#13;
Data was collected using structured questionnaires and interview schedules. Instrument validity was ensured through expert&#13;
review, while reliability was tested using Cronbach’s alpha coefficient (α = 0.812), confirming internal consistency. Data were&#13;
analyzed using both descriptive statistics and inferential methods, including Pearson correlation and regression analysis.&#13;
Ethical considerations such as informed consent, confidentiality, and voluntary participation were strictly observed. Findings&#13;
revealed that promoting CBET had a positive and statistically significant effect on building solar energy skill base (β = 0.270,&#13;
t = 2.237, p &lt; 0.05), with a moderate positive correlation (r = 0.464, p &lt; 0.01). The study concluded that competency-based&#13;
training enhances technical expertise, industry readiness, and employability of electrical engineering trainees. The study&#13;
therefore recommended that training institutions integrate modular, practical, and industry-aligned CBET curricula,&#13;
strengthen industry-academia collaboration, and expand solar energy infrastructure for training.
</summary>
<dc:date>2025-01-01T00:00:00Z</dc:date>
</entry>
<entry>
<title>Influence of Partnering in Capacity Building of Trainers on Industrial Skills Development in Engineering Training in Public Technical and Vocational Education and Training Institutions in Nairobi County</title>
<link href="http://41.89.164.27:8080/xmlui/handle/123456789/2577" rel="alternate"/>
<author>
<name>Koech, Kipngeno Albert</name>
</author>
<author>
<name>Kiplagat, Hoseah</name>
</author>
<author>
<name>Sitawa, Hellen</name>
</author>
<id>http://41.89.164.27:8080/xmlui/handle/123456789/2577</id>
<updated>2026-04-13T08:42:38Z</updated>
<published>2025-09-01T00:00:00Z</published>
<summary type="text">Influence of Partnering in Capacity Building of Trainers on Industrial Skills Development in Engineering Training in Public Technical and Vocational Education and Training Institutions in Nairobi County
Koech, Kipngeno Albert; Kiplagat, Hoseah; Sitawa, Hellen
Globally, Technical and Vocational Education and Training (TVET) systems face increasing pressure to address persistent&#13;
skill gaps while adapting to rapidly changing labor market demands. Despite significant investments in TVET, many&#13;
countries still face persistent skill mismatches, where graduates lack the technical and soft skills required by industry. This&#13;
calls for partnerships in capacity building of trainers which is key in equipping learners with industry-relevant&#13;
competencies. Despite this, there have been limited studies on the influence of partnering in capacity building of trainers&#13;
on industrial skills development in engineering training in technical vocational education and training institutions in Nairobi&#13;
County providing a gap for the current study. Thus the study focused on the influence of partnering in capacity building of&#13;
trainers on industrial skills development in engineering training in technical vocational education and training institutions&#13;
in Nairobi County. The study adopted a descriptive research design. The target population was 334 HoDs, course tutors&#13;
and electrical engineering trainers. The study used Slovin’s formula to calculate the sample size which is 182. The&#13;
respondents were selected using a multistage sampling process. Data was collected by use of a questionnaire which was&#13;
piloted for testing reliability and validity. Data was analyzed by use of descriptive and inferential statistics using Statistical&#13;
Package for Social Sciences (SPSS) version 26.0 package and presented using tables. From the findings, the coefficient of&#13;
determination (R square) of 0.215 indicated that the model explained only 21.5% of the variation or change in industrial&#13;
skills development in engineering training. The study findings indicate that partnering in capacity building of trainers&#13;
significantly influence industrial skills development in engineering training in technical vocational education and training&#13;
institutions. Therefore, TVET institutions should consider strengthening partnering in capacity building using a policy&#13;
framework to enhance their potential industrial skills development in engineering training.
</summary>
<dc:date>2025-09-01T00:00:00Z</dc:date>
</entry>
</feed>
