dc.description.abstract | Academic growth in universities depends increasingly on information and communications
technologies (lCT's) and the abilities of all stakeholders to collect, process, and use digital
information in teaching, learning, support, research and development initiatives. This research
study proposed an assessment of e-readiness framework to evaluate the E.A universities
readiness for networked learning based on six categories of indicators: Network access, People
and organization online, locally relevant content, ICT in everyday life, ICT in the workplace and
workforce-ICT human capital using secondary data collected from 53 E.A universities by
KENET. To analyse the data, descriptive statistics of mean and standard deviation were used to
delineate variable characteristics. The data was presented using tables and charts. Correlation
analysis was used to establish relationships between variables and multiple regression analysis
was used to estimate the predictive effects of independent variables on networked learning. The
key findings as related to the study objectives and hypothesis revealed a strong correlation
between network access and networked learning, so is ICT in everyday life, ICT in the
workplace, people and organization online, locally relevant content. The results also revealed
that there was no correlation between ICT human capacity in the EA universities and networked
learning. The conclusion from the study was that in East African universities should align their
policies, structures and strategies to boost networked learning for academic excellence. The
study therefore recommends future studies should aim at a more in depth understanding of
networked learning emerging strategic capabilities, communities in East African context and in
Kenyan context in particular in contribution to vision 2030. | en |