Covid 19http://41.74.91.244:8080/handle/123456789/162026-04-05T08:15:57Z2026-04-05T08:15:57ZSchool teachers in post-covid-19 era perceived stress, sense of self efficacy and quality of lifeAdams, F.Fhttp://41.74.91.244:8080/handle/123456789/51152026-03-18T14:52:24Z2023-06-01T00:00:00ZSchool teachers in post-covid-19 era perceived stress, sense of self efficacy and quality of life
Adams, F.F
The purpose of this study was to examine the relationship among basic school
teachers’ perceived stress, teacher sense of self-efficacy, and professional quality of
life. A quantitative research approach using a cross-sectional correlation design was
with 113 basic school teachers who had been purposively and conveniently sampled
within the Ghana Education Service's Ga South Municipality. Using the Perceived
Stress Scale, Teacher Sense of Self Efficacy Scale, and Professional Quality of Life
(PROQoL) Scale, results indicated that except compassion satisfaction, a factor within
PROQoL, there were no significant gender differences in all other variables.
Furthermore, the research findings established a significant relationship among
perceived stress, compassion satisfaction, and compassion fatigue. Higher levels of
perceived stress were associated with decreased compassion satisfaction and
increased burnout. There was a positive relationship between efficacy in student
engagement and compassion satisfaction. Based on these findings, recommendations
have been made to promote the well-being of basic schoolteachers. It is suggested that
stress management programs tailored to teachers' needs be developed and
implemented. Fostering positive cognitive appraisals through training and support
systems, promoting self-care practices, and providing resources to address burnout
and secondary traumatic stress are also recommended
A thesis in the Department of Counselling Psychology, Faculty of Educational
Studies, submitted to the School of Graduate Studies in partial fulfilment
of the requirements for the award of the degree of
Master of Philosophy
(Counselling Psychology)
in the University of Education, Winneba
JUNE, 2023
2023-06-01T00:00:00ZThe effects of Covid-19 on Human Resource Performance in the banking industrySalifu, A.http://41.74.91.244:8080/handle/123456789/20802026-02-23T10:00:08Z2023-01-01T00:00:00ZThe effects of Covid-19 on Human Resource Performance in the banking industry
Salifu, A.
The study explored the impacts of the COVID-19 pandemic on human resource management
performance in banks in Ghana. The objectives were to examine the effects of the pandemic
on human resource management practices, assess the productivity of banks’ human resources,
evaluate the post-pandemic effectiveness of human resource departments, and explore the
human resource practices adopted after the pandemic. Survey data was collected from two
hundred and twenty-four (224) banks employees and analysed using SPSS version 23
descriptively. The results revealed significant changes in human resource management
performance, including the adoption of remote work, digital transformation, and modifications
in recruitment strategies. The pandemic had mixed effects on productivity, with changes in
workload, burnout, engagement, and motivation observed. Adjustments were made in human
resource performance, such as increased use of digital tools and modifications in performance
management systems. The findings align with the AMO model, emphasizing he interplay
between abilities, motivations, and opportunities within human resource management
practices. The study contributes to the understanding of human resource management
performance in the context of crises and provides recommendations for policymakers,
practitioners, and academia to enhance organizational resilience and adaptability. Future
research should explore other industries, employ mixed-methods approaches, and consider
longitudinal studies to further deepen the understanding of the pandemic’s impact on human
resource management practices.
A dissertation in the Department of Management Sciences,
school of Business, submitted to the school of
Graduate Studies, in partial fulfilment
of the requirements for the award of the degree of
Master of Business Administration
(Human Resource Management)
in the University of Education, Winneba.
2023-01-01T00:00:00ZUsing machine learning to predict students' academic performance during Covid-19Dake D.K.Essel D.D.Agbodaze J.E.http://41.74.91.244:8080/handle/123456789/3342023-06-29T09:23:00Z2021-01-01T00:00:00ZUsing machine learning to predict students' academic performance during Covid-19
Dake D.K.; Essel D.D.; Agbodaze J.E.
COVID-19 pandemic has affected various sectors of the global economy including the abrupt closure of schools in March 2020 in Ghana. This sudden closure has led to a revamp in online teaching and learning across most institutions with learners submitting their assignments and taking their assessments on various learning management systems while at home. In this study, we used classification algorithms to investigate features and predict the academic performance of students during the pandemic. We collected data from students in the Department of ICT Education of the University of Education, Winneba during the COVID-19 period using carefully selected attributes that could affect their exams score. The results detailed dominant attributes that affected students' performance with Random Forest, Random Tree, Na�ve Bayes and J48 Decision Tree algorithms further analysed for accuracy, confusion matrix and the ROC Curve. After detailed analysis, we observed that the accuracy of a classifier alone is not indicative enough of its performance. � 2021 IEEE
Dake, D.K., Department of ICT Education, University of Education, Winneba, Winneba, Ghana; Essel, D.D., Department of ICT Education, University of Education, Winneba, Winneba, Ghana; Agbodaze, J.E., Department of ICT Education, University of Education, Winneba, Winneba, Ghana
2021-01-01T00:00:00Z