scholarly journals Factors Affecting Study Habits in Higher Education During the Covid-19 Pandemic

2021 ◽  
Vol 6 (2) ◽  
pp. 109-124
Author(s):  
Dilşat Peker Ünal ◽  
Keyword(s):  
Higher Education ◽  
Study Habits ◽  
Factors Affecting

Factors Affecting Financial Literacy of Vietnamese Adults: A Case Study for Hanoi and Nghe An

2017 ◽  
Vol 33 (2) ◽  
Author(s):  
Tue Nguyen Dang
Keyword(s):  
Higher Education ◽  
Multiple Regression ◽  
Financial Literacy ◽  
Urban Areas ◽  
Logistic Models ◽  
Factors Affecting ◽  
Financial Behaviors ◽  
Financial Decisions ◽  
Literacy Level

This research examines the factors affecting the financial literacy of Vietnamese adults. Using a sample of 266 observations of adults in 2 big cities in Vietnam (Hanoi and Vinh in Nghe An Province), the author evaluates the literacy level of adults in these urban areas. The financial literacy of the interviewed people is low. The multiple regression results show that lower financial literacy levels associate with higher age and married status and higher financial literacy levels associate with higher education, more family members, the person making financial decisions and the person attending a useful financial course. This research also explores the association between financial literacy and financial behaviors of individuals employing logistic models. It is found that higher financial literacy associates with less probability of overspending and higher probability of saving money and careful spending. Higher financial literacy is also found to associate with higher probability of opening a savings account and making various investments. 

Internet-based Online Higher Education in Nepal Amidst COVID-19

2020 ◽  
Author(s):  
Ashis Acharya ◽  
Nabaraj Poudyal ◽  
Ganesh Lamichhane ◽  
Babita Aryal ◽  
Bibek Raj Bhattarai ◽  
...  
Keyword(s):  
Higher Education ◽  
Human Life ◽  
The Internet ◽  
Online Classes ◽  
Traditional Concept ◽  
Digital Platforms ◽  
Factors Affecting ◽  
Online Higher Education ◽  
Alternative Means ◽  
The Government

The COVID-19 global pandemic has affected all aspects of human life, with education, not an exception. In an attempt to stop the SARS-CoV-2 spreading like wildfire, the Government of Nepal has implemented nationwide lockdowns since March 24, 2020, that have enforced schools and universities to shut down. As a consequence, more than four hundred thousand students of various levels in higher education institutions (HEIs) are in a dilemma about restoring the situation. Several HEIs, nationwide, have leaped forward from the traditional concept of learning—limited within the boundary of the classroom—to choosing digital platforms as an alternative means of teaching because of the pandemic. For this research, the descriptive and inferential analysis was carried out to investigate the effects and challenges of learning via digital platforms during this pandemic. Data were collected from students and faculty at various levels of higher education and analyzed statistically with different factors using t-test and ANOVA, and variables were found to be approximately normally distributed. The study revealed that 70% of the respondents had access to the Internet, but 36% of the Internet accessed did not continue online classes due to unexpected disturbance in Internet and electrical connectivity. Likewise, 65% of students did not feel comfortable with online classes, and among attendees of online classes, 78% of students want to meet the instructor for a better understanding of course matters. According to the analytic hierarchy process (AHP) model, three factors, such as institutional policy, internet access, and poverty, are found to be significant factors affecting the online higher education systems in Nepal. On the brighter side, this outbreak has brought ample opportunities to reform the conventional teaching-learning paradigm in Nepal.

Attracting doctoral students: case of Baltic universities

2017 ◽  
Vol 31 (7) ◽  
pp. 1017-1041
Author(s):  
Alexander Tarvid
Keyword(s):  
Higher Education ◽  
Doctoral Students ◽  
Doctoral Degree ◽  
Access To Higher Education ◽  
Content Type ◽  
Factors Affecting ◽  
Doctoral Level ◽  
Baltic Countries ◽  
The Baltic ◽  
Doctoral Programmes

Purpose In the context of falling demand for higher education and, in particular, doctoral studies, it is important to understand how to attract new students. The purpose of this paper is to present an analysis of the decision-making process the PhD students of Baltic universities followed when choosing whether to continue their education at doctoral level and in which institution to do it. Design/methodology/approach It uses the data gathered in 2014 from all major Baltic universities providing access to higher education at doctoral level. Findings At macro-level, the three Baltic countries (Estonia, Latvia and Lithuania) are rather different in the supply of doctoral programmes and the level and dynamics of the popularity of doctoral-level studies in the population. Besides, strong country-specific effects on the goals students pursued when they enrolled in a doctoral programme and the information about the university or the programme they found useful are observed at micro-level. The main result is related to systematic differences in the perceptions students have about the benefits they will get from a doctoral degree across the current (at doctoral level) and previous (at Bachelor’s and Master’s levels) fields of study, as well as depending on labour-market experience and family and social circle. Practical implications These findings suggest that Baltic higher education institutions should employ different marketing communication strategies when attracting new doctoral students, depending on the field of study and the country they operate in. Originality/value This is the first comprehensive study on the motivation of enrolment at doctoral level in the Baltic countries. It gives the management of Baltic universities a general picture of the motivation to get a PhD degree and factors affecting the choice of university, which can be readily incorporated into universities’ strategy.

Mobile Learning: Factors Affecting Students’ Adoption in Higher Education

M-Commerce ◽  
2019 ◽  
pp. 235-253
Author(s):  
Amandeep Kaur ◽  
Nidhi Sharma ◽  
Ruhee Mittal ◽  
Anshu Lochab
Keyword(s):  
Higher Education ◽  
Mobile Learning ◽  
Factors Affecting ◽  
Learning Factors

scholarly journals FACTORS AFFECTING THE CHOICE OF HIGHER EDUCATION INSTITUTIONS BY PROSPECTIVE STUDENTS IN LATVIA

2016 ◽  
Vol 4 ◽  
pp. 422-430 ◽  
Author(s):  
Nadezda Rika ◽  
Jana Roze ◽  
Irina Sennikova
Keyword(s):  
Higher Education ◽  
Secondary School ◽  
Stepwise Regression ◽  
Higher Education Institutions ◽  
Organizational Factors ◽  
Spearman Correlation ◽  
Prospective Students ◽  
Social Psychological ◽  
Factors Affecting ◽  
Comprehensive Knowledge

Because of increasing competition among Latvian higher education institutions (HEIs), the administrators of these institutions are becoming increasingly interested in understanding how their potential students choose their institution. Comprehensive knowledge of consumer behavior allows institutions to become more effective at making good strategic marketing decisions and to better respond to customers’ needs. The purpose of this study is to understand what factors affect the decision of secondary school leavers in choosing a particular higher education provider and the variables that might predict a student’s choice. The research is based on data collected by the means of a survey distributed among final year students of Latvian secondary schools, with 644 responses analyzed using Spearman correlation and stepwise regression analysis. Analysis of four major groups of factors: cultural, social, psychological, and organizational, revealed that psychological and organizational factors are the best predictors of the choice of HEI. These explained 48% of the variance of the dependent variable (R2 = 0.48; F (1; 641) = 293.46; p < 0.001). The results provide details of the factors with great importance to young people of Latvia in choosing their higher education provider. The HEI can use these factors for designing various student attraction strategies, and thus increase their market share and competitiveness.

scholarly journals Factors contributing towards research productivity in higher education

2020 ◽  
Vol 9 (1) ◽  
pp. 203
Author(s):  
Caroline Henry ◽  
Nor Azura Md Ghani ◽  
Umi Marshida Abd Hamid ◽  
Ahmad Naqiyuddin Bakar
Keyword(s):  
Higher Education ◽  
Research Productivity ◽  
Academic Staff ◽  
Student Perception ◽  
Primary Data ◽  
Factors Affecting ◽  
Age Cohort ◽  
Role Of Principal ◽  
Behavioural Factors ◽  
Conducting Research

<span>Research Productivity (RP) is the key element in the establishment of ranking and rating system in the Higher Education (HE) sector. Despite of the many initiatives taken to enliven the research culture among academic staff, there are still constraints and resistance towards conducting research. Therefore, this study attempts to identify the factors affecting RP and develop an appropriate model to determine the RP of an academic staff in Universiti Teknologi MARA (UiTM). In this study, 5 research related indicators were used in the determination of RP. Since the population size of UiTM is large, the primary data was collected by using questionnaire survey and stratified random sampling. The variables that were found to be significant in determining RP of an academic staff were age cohort, highest qualification, cluster and track emphasis. Satisfaction towards annual KPI, UiTM current policy and monthly income were also found to influence the RP of an academic staff. In addition, perceiving the role of principal investigator as a chore and burden and supervising and graduating a PhD student perception as burden and pleasure were also found to be affecting RP. Using these variables, Logistic Regression Model was used to determine the RP of an academic staff in UiTM. In conclusion, personal, environmental and behavioural factors were found to have influence on the RP among academic staff of UiTM. Therefore, generally it is possible to maximize the RP of academic staff by identifying the factors influencing RP followed by strategic management and proper monitoring system.</span>

Sign in / Sign up

Export Citation Format

Share Document