LATEST FROM KENET
The rapid rise of Generative Artificial Intelligence (GenAI) has sparked one of the biggest conversations in education in recent years. While some educators worry that tools such as ChatGPT and other Large Language Models (LLMs) could undermine academic integrity or diminish critical thinking, others see an unprecedented opportunity to redefine how teaching and learning take place.
Dedan Kimathi University of Technology (DeKUT) has transformed its approach to teaching and learning by embracing KENET’s managed eLearning platform hosting services, making education more flexible, interactive, and resilient.
The University's KENET-hosted Moodle Learning Management System (LMS) and the integrated BigBlueButton (BBB) web conferencing platform provide a reliable digital infrastructure for online learning and collaboration. This enables DeKUT to deliver secure, scalable, and uninterrupted blended learning experiences for students...
To keep pace with the growing demand for reliable internet services driven by an increase in student population, Karatina University partnered with KENET through the Direct Engineering Support (DES) service to strengthen its campus network. The engagement resulted in improved network stability and enhanced internet performance, enabling students and staff to access online learning resources, research platforms, and university systems with fewer connectivity disruptions.
Four Maseno University ICT staff successfully underwent a Web Server Administration Training organized by the Kenya Education Network (KENET) from July 7-10, 2026. The instructor-led programme sought to strengthen the technical capacity of the participants to effectively manage the day-to-day operations of institutional systems.
Throughout the four days, the training was delivered through a combination of lectures and hands-on practical sessions. Key areas covered included Linux server administration, web server configuration, server security, database management, website migration...
For a long time, microscopic urinalysis has been one of the most widely used laboratory tests for diagnosing and monitoring a wide range of diseases. Laboratory technicians examine urine sediments under a microscope to detect abnormalities associated with conditions such as urinary tract infections, kidney disease, and diabetes-related complications. Despite its clinical value, the process remains largely manual, making it time-consuming, prone to variations in interpretation and susceptible to missing subtle abnormalities that could delay diagnosis.