| dc.description.abstract | Quality assurance (QA) in any technical college requires monitoring and evaluation for
quality learning. Feedback from students when adopted can promote QA to ensure the
learning environment is enhanced continuously and consistently. The adoption of the
Competence-Based Education Training (CBET) in Kenya has come with new challenges of
handling data. The change of the structure for learning delivery and assessment requires
monitoring and evaluation to facilitate trainees, trainers, and managers to adapt to the
requirements of this approach of training. Technical and Vocational Education Training
Authority (TVETA) as the regulatory agency for technical colleges has standards for
monitoring the successful and full implementation of competence-based training in Kenya.
The County of Kiambu is among the counties in Kenya endowed with reliable
communication infrastructure and should lead the way in leveraging on Internet, mobile
telephony as well as the modern data repository and analytical technologies in the execution
of processes in technical colleges. The predictive model for IQA from this study will be
useful in adjustments of policies and methodologies, and facilitate instituting changes or
affirming instructional roles. A sample population of technical colleges in Kiambu County
was used to identify the current feedback mechanisms implemented in the colleges. The
variables identified for the predictive model are Instructional delivery, resource provisioning,
assessment process and technology usage. The phenomenon of participatory sensing is
extended in this study where the student, the mobile phone, an application embedded in the
phone and the internet are combined to form a sensing mechanism to support learning.
Technologies employed in this model are VADER, spark, HDFS mobile telephony and the
internet, while visualization graph for multivariate data is done by Parallel coordinates graph.
This model and system derived thereof will support the digital survey student accustomed to
use of mobile telephony for communication and cyberspace for seeking information, in order
to interact in the learning ecosystem in the phenomenon of participatory sensing. The future
of quality education is to leverage technology to help both the student and the instructor or
trainer, to promote Kenya's industrial and national growth by the development of a skilled
workforce. | en_US |
