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E-Learning Performance In Higher Institutions Of Learning In Arua City, Uganda. A Study Of Muni University. (Issue 12)

The aim of this study is to examine e-learning performance in higher institutions of learning in arua city, Uganda.
A case of Muni University and it was guided by the following objectives; To establish the various e-learning
platforms used by students at Muni University, to know the stakeholders support at the University in terms of
Internet provision and to assess the Performance of ICT Students at the University of Muni. The study employed
a descriptive research design using qualitative and quantitative approach. Purposive and simple random sampling
to select the sample and sample elements. This study utilized a mixed methods research design to collect both
quantitative and qualitative data to comprehensively evaluate e-learning performance at Muni University during
the COVID-19 pandemic. The target population included all undergraduate students, academic staff, and
administrators involved in the transition to emergency remote teaching at the university. From the findings, the
R value of 0.890 indicated a very strong positive correlation between the predictor (stakeholders' support) and the
outcome variable (e-learning performance). The R Square value of 0.791 suggested that about 79.1% of the
variance in e-learning performance is explained by stakeholders' support. The regression coefficient (B) of 0.395
for stakeholders' support meant that for every 1 unit increase in support, e-learning performance increases by
approximately 0.395 units while controlling for other factors. The significance value of 0.000 confirmed that
stakeholders' support significantly contributed to the predictive model. Large-scale training and outreach
programs tailored for varied audience profiles would help crystallize stakeholder vision as collaborative change
agents, championing new norms of interactive, tech-mediated pedagogy. Continual feedback platforms would
ensure rapid response to concerns as roles adjust over the technology diffusion lifecycle. Proactively addressed
informational needs and capability building wants to guarantee all impacted parties traverse the acceptance curve,
graduating to fervent advocates. Strategic engagement of opinion leaders may accelerate diffusion by imparting
confidence across networks.

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