Migration of Nigerians to Canada for Higher Education: Student Visa as a Pathway to Permanent Residence

Author(s):  
Charles Temitope Adeyanju ◽  
Olabimpe Ajoke Olatunji
2019 ◽  
Author(s):  
Karen C. H. Zhoc ◽  
Beverley J. Webster ◽  
Ronnel B. King ◽  
Johnson C. H. Li ◽  
Tony S. H. Chung

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Khalid Abed Dahleez ◽  
Ayman A. El-Saleh ◽  
Abrar Mohammed Al Alawi ◽  
Fadi Abdelmuniem Abdelfattah

PurposeThis research examined the factors affecting several types of student engagement, namely agentic, behavioral, emotional and cognitive engagement. Specifically, it examined the effect of e-learning system usability on student engagement and explored teacher behavior's possible intervening impact on this relationship.Design/methodology/approachData were collected from 418 students studying at different specializations at Omani private academic institutions. This study employed a quantitative methodology and utilized the Smart-PLS for data analyses.FindingsThe findings showed that e-learning system usability influenced significantly and positively agentic, behavioral and cognitive engagement. However, the link between e-learning system usability and emotional engagement was not significant. Moreover, teacher behavior mediated the relationship between e-learning system usability and the four types of engagement.Originality/valueThis study improves one’s understanding of how the interaction of e-learning system usability and teacher behavior affects several aspects of student engagement. It also helps higher education administrators and policymakers by exploring the influential effects of e-learning systems usability and teacher behavior on facilitating students' engagement.


2021 ◽  
Vol 8 (1) ◽  
pp. 91-115
Author(s):  
Hillary A. Dachi

This study examined the mechanisms employed to finance student loans in Tanzania and who benefits and how. The findings show that student loans are financed by the public exchequer. The number of students fromhigh-income families accessing these loans is disproportionate to their representation in Higher Education Institutions, while the share for middle and low-income students reflects their representation. There is also animbalance between male and female beneficiaries across programmes, notably in the Science, Technology, Engineering, and Math (STEM) disciplines. It is concluded that such disparities are the result of the fact thatthe student loan scheme seeks to satisfy a number of government policy objectives in relation to higher education beyond access and equity, and that means testing is not rigorously conducted. Key words: Higher Education, higher education policy, financing higher education, higher education student loans, public subsidisation of higher education


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