Search results

The present century is an age of knowledge-based economy. Higher education is in the process of transformation and thereby challenging the traditional system of education in India. The present paper reviews the current conditions of ICT use by the students in higher education in India. The major objectives of the study are (1) assessment of the use of computer and Internet by the students of higher education in India and (2) to find the determinants of use of ICT by the students in India. The study uses the NSSO 71st Round Unit Level Data on Social Consumption: Education Survey (71st Round, 2014). The present paper is based on 6,035 students from all the regions in India out of which 3,127 students were from the rural area and 2,908 from the urban area. The findings from logit analysis suggest that the determinants of ICT use by the students in higher education in India are regional disparities, gender, education levels of households, type of courses pursued by the students, type of institutions, access to computer and Internet facility, consumption levels of households, and students' residence type.

In this chapter, I review recent evidence on the developmental origins of health inequality. I discuss the origins of the education-health gradient, the long-term costs caused by early life adversity, and how early life experiences affect the biology of the body. Additionally, I provide complementary evidence on enrichment interventions which can at least partially compensate for these gaps. I highlight emerging lines of scientific inquiry which are likely to have a significant impact on the field. I argue that, while the evidence that early life conditions have long-term effects is now uncontroversial, the literature needs to be expanded both in a theoretical and empirical direction. On the one hand, a model linking early life origins to ageing needs to be developed; on the other hand, a better understanding of the mechanisms – both biological and socioeconomic – is required, in order to design more effective interventions.

The purpose of this chapter was to investigate consumer perceptions of retail agglomeration (RA) characteristics in Zagreb region. Perceived RA characteristics were compared between two major types of RA: Planned retail agglomerations (PRA) and Evolved retail agglomerations (ERA).

Data were collected with consumer survey and analyzed using descriptive statistics, exploratory factor analysis and analysis of variance (ANOVA).

Findings indicate that four factors of RA characteristics can be identified: convenience, accessibility, atmosphere, and image. The shoppers’ ratings indicate the strength and weaknesses of RA, and also the dominant position of PRA as compared to evolved RA.

Results show that there were significant differences in shoppers’ perceptions between Planned and evolved RA in Zagreb region. Shoppers evaluated PRA better than ERA on all four factors. Convenience and atmosphere are the best-rated PRA characteristics. Managerial implications are discussed in the study.

Introduction – Bologna’s summit guidelines regarding the Bachelor/Master structure, which is currently used in most Colleges and Universities, were mostly aimed at standardising the educational system in European higher education. Educational institutions use these guidelines as a basis for setting up their educational model.

Aim – This chapter aims to review models of learning management systems (LMSs), the stage of activity of every method applied at Universities, as well as the strengths and weaknesses of these prototypes. The literature review in question identifies and classifies strategic methods of LMS, differentiates method type and categorises common activities.

Results – The results show that higher education institutions are in the preparatory phase regarding the application of e-learning, whereas private institutions have applied this system since their foundation and use it on a daily basis across all services.

Conclusion – However, different educational institutions in our country are at different stages in implementing new learning models. A strategic plan for developing knowledge management systems can be determined by using some of the information system strategic methods.

Originality/Value – This chapter contributes to the literature by providing additional evidence for existing studies in LMS in the Universities of the Republic of Kosovo. Studies suggest the implementation of different models and highlight the impact of technology especially during this pandemic whereby we should mainly focus and implement curricula using these kinds of technology. Also, this study identifies a major weakness in existing Kosovar studies, which have identified concepts but they are not implemented at all.

Labour markets across the globe have recently been characterized by rising wage inequality, real wage stagnation or both. Most academic work to date considers each in isolation, but the research in this paper attempts to pull them together, arguing that higher wage inequality takes on an added significance if real wages of the typical worker are not growing, and showing that inequality rises and real wage slowdowns have gone hand-in-hand with one another due to wages decoupling from productivity in the United States and United Kingdom. The lack of growth of real wages at the median in the United States is also shown to be linked to the declining influence of trade unions.

We use OECD-PIAAC data to estimate the earnings effects of both years of education and of numerical skills. Our identification strategy exploits differential exposure to educational reforms across birth cohorts and countries. We find that education has the strongest earnings effect. A one standard deviation increase in years of education raises earnings by almost 22 percentage points (corresponding to a return to education above 7 percentage points), which compares with a lower percentage points return to an equivalent increase in numerical skills. Our results suggest that the same set of unobservables drives the accumulation of both formal years of education and numeracy skills. OLS estimates underestimate returns to human capital, consistently with the idea that educational reforms favor the human capital acquisition of abler children from disadvantaged parental backgrounds. When we consider numerical skills alone education reforms cannot identify any significant effect of skills on wages, however, when we jointly consider schooling and skills as endogenous factors in a recursive structure we find a significant role for skills in determining wages.

Job Corps is the United State’s largest and most comprehensive training program for disadvantaged youth aged 16–24 years old. A randomized social experiment concluded that, on average, individuals benefited from the program in the form of higher weekly earnings and employment prospects. At the same time, “young adults” (ages 20–24) realized much higher impacts relative to “adolescents” (ages 16–19). Employing recent nonparametric bounds for causal mediation, we investigate whether these two groups’ disparate effects correspond to them benefiting differentially from distinct aspects of Job Corps, with a particular focus on the attainment of a degree (GED, high school, or vocational). We find that, for young adults, the part of the total effect of Job Corps on earnings (employment) that is due to attaining a degree within the program is at most 41% (32%) of the total effect, whereas for adolescents that part can account for up to 87% (100%) of the total effect. We also find evidence that the magnitude of the part of the effect of Job Corps on the outcomes that works through components of Job Corps other than degree attainment (e.g., social skills, job placement, residential services) is likely higher for young adults than for adolescents. That those other components likely play a more important role for young adults has policy implications for more effectively servicing participants. More generally, our results illustrate how researchers can learn about particular mechanisms of an intervention.

In order to study whether college scholarships can be an effective tool in raising students’ performance in secondary school, we use one aspect of the Kalamazoo Promise that resembles a quasi-experiment. The surprise announcement of the scholarship created a large change in expected college tuition costs that varied across different groups of students based on past enrollment decisions. This variation is arguably exogenous to unobserved student characteristics. We estimate the effects of this change by a set of “difference-in-differences” regressions where we compare the change in student outcomes in secondary school across time for different student “length of enrollment” groups. We also control for student fixed effects. We find positive effects of the Kalamazoo Promise on Promise-eligible students large enough to be deemed important – about a 9 percent increase in the probability of earning any credits and one less suspension day per year. We also find large increases in GPA among African American students.

This paper addresses revolutionary changes in the education, fertility and market work of U.S. families formed in the 1870s–1920s: Fertility fell from 5.3 to 2.6; the graduation rate of their children increased from 7% to 50%; and the fraction of adulthood wives devoted to market-oriented work increased from 7% to 23% (by one measure).

These trends are addressed within a unified framework to examine the ability of several proposed mechanisms to quantitatively replicate these changes. Based on careful calibration, the choices of successive generations of representative husband-and-wife households over the quantity and quality of their children, household production, and the extent of mother’s involvement in market-oriented production are simulated.

Rising wages, declining mortality, a declining gender wage gap, and increased efficiency and public provision of schooling cannot, individually or in combination, reduce fertility or increase stocks of human capital to levels seen in the data. The best fit of the model to the data also involves: (1) a decreased tendency among parents to view potential earnings of children as the property of parents and (2) rising consumption shares per dependent child.

Greater attention should be given the determinants of parental control of the work and earnings of children for this period.

One contribution is the gathering of information and strategies necessary to establish an initial baseline, and the time paths for parameters and targets for this period beset with data limitations. A second contribution is identifying the contributions of various mechanisms toward reaching those calibration targets.

The aim of the chapter is to develop some approaches to turn education, predetermining the quality of human capital, into the most important factor of national inclusive development. This problem is titled by the World Bank Report (2018) as “Learning: to realize education’s promise.” There has been revealed a fundamental contradiction between the two processes: the training technology is improved, the treasury of knowledge is enriched, the scientific progress accelerates, on one side, but on the other side, according to the international Program for International Student Assessment (PISA) study (2015), about 28% of the Russian 15-year-olds, for example, did not master the minimum necessary skills in at least one area of the three (natural science, mathematics, and communication in their native language). Meanwhile the correlation between educational and economic “failures” is high. Reduction in school failure in half (up to 15%) corresponds to the growth of the country’s GDP by 2% at the perspective of 10 years, by 5–6% – in 20 years, and by over 10% – in 30 years. The authors identify and substantiate the most important factor of the low basic knowledge of schoolchildren: it deals with the phenomenon of stable psychological and cognitive barriers in their minds. As a result of this theory, a model of educational consciousness has been developed, which makes it possible to overcome educational failure and to form algorithms for successful learning.