Search

Search Results

Serenje, Janet
2024·Doctor of Philosophy·University of Zambia

This study investigated how a digital intervention programme influenced the development of emergent literacy skills, including rhyme awareness, vocabulary, and story comprehension, in preschool children from resource-constrained environments in Lusaka province, Zambia. The study was quantitative...

Download PDF ↓
Kalaba, Dorothy
2024·Master of Physical Education and Sport·University of Zambia

The study explored lecturers’ pedagogical practices on student teachers with visual impairment (VI) in Physical Education and Sports (PES) classrooms at a selected college of Education in Central Province. The objectives were; to establish pedagogical practices employed by PES lecturers on...

Download PDF ↓
Mukubesa, Namukolo
2024·Master of Science·University of Zambia

This study aimed to determine the maximum likelihood (ML) estimates for the Gamma and Exponential distributions under conditions of left-truncated and right-censored data, employing the Expectation-Maximisation (EM) algorithm. Additionally, it sought to compare the performance of the EM algorithm...

Download PDF ↓
Mutambo, Judith
2024·Master of Science·University of Zambia

Spices refer to dried parts of plants used in food to enhance flavor, add color and make food more acceptable. As a result spices are widely used in the food industry where they may carry a large number of bacteria and mold that could contaminate the food. The objective of this study was to...

Download PDF ↓
CHAPONDA, Janet
2024·Masters·University of Lusaka

The study investigates the intricate relationship between communication management strategies and corruption perceptions within public construction projects. Drawing upon empirical data gathered from the Lusaka-Ndola Road project and aligning with established literature, the research explores the...

Download PDF ↓
Bob Mweetwa
2024·Master of Science in·ZCAS University

This study introduces a groundbreaking TB detection system in Zambia, harnessing chest X-ray analysis via machine learning. Addressing the limitations of traditional TB detection methods, this research utilized a layered architecture for image processing and classification using a convolutional...

Download PDF ↓