The Impacts of Highly Resourced Vocational Schools on Student Outcomes in China
Policymakers in developing countries have prioritized the mass expansion of vocational education and training (VET). Evidence suggests, however, that the quality of VET can be poor. One possible reason given by policymakers for this is a lack of resources per student. The goal of this study is to examine whether the quality of VET in developing countries increases by investing greater resources per student. To achieve this goal, we examine the impacts of attending model schools (which have far more resources per student) compared with non-model schools (which have fewer resources) on a range of student cognitive, non-cognitive, and behavioral outcomes. Using representative data from a survey of approximately 12,000 VET students from China, multivariate regression and propensity score matching analyses show that there are no significant benefits, in terms of student outcomes, from attending model vocational high schools, despite their substantially greater resources.
We study how the achievements of university students are influenced by the characteristics and achievements of peers in individuals’ social networks. Defining peer group in terms of friendship and study partner ties enables us to apply a network regression model and thereby disentangle the influence of peers’ performance from that of peers’ background. We find significant positive peer effects via the academic achievements of friends and study partners. Students’ grades increase with the abilities of study partners, who may or may not also be friends; no such effect is observed for friends who are not also study partners. Additionally, the effects of the abilities of other classmates are found to be insignificant. The results support the claim that peer influence acts mainly through knowledge-sharing channels between students who are connected by social ties
We estimate the influence of classmates’ ability characteristics on student achievement in exogenously formed university student groups. The study uses administrative data on undergraduate students at a large selective university in Russia. The presence of high-ability classmates has a significant positive effect on individual grades in key economics and mathematics courses as well as on overall academic performance. While a simple linear-in-means model reveals moderate peer effects, non-linear specifications give strong evidence that students at the top of the ability distribution derive the greatest benefit from high-ability classmates. Less able students are not affected by peers and have no significant influence on peers’ outcomes.
This article is devoted to the issue of developing adaptive learning systems for vocational education and training (VET). Firstly, it justifies the urgency of developing and using personalized adaptive learning in vocational educational organizations. Specific features of the Russian VET system and its students are described, demonstrating a number of arguments for the importance of a search for new digital educational solutions. Secondly, the paper elaborates on the theoretical framework of personalization of vocational education and training, which takes into account the necessity for both skills and knowledge. Finally, the authors present a prototype of an adaptive educational system, which is based on ontologically-controlled management of learning trajectories. The developed software is aimed at improving the effectiveness of the VET material science curriculum.
Period of training in a higher school is a threshold on the professional life way, therefore, it reflects the willingness to vigorously respond to all the vicissitudes of life and desire for constant self-improvement. Data collection is produced at the Higher School of Economics, Department of Management. We assumed that students with high levels of emotional intelligence must have a high rank.
Teacher quality is an important factor in improving student achievement. As such, policymakers have constructed a number of different credentials to identify high quality teachers. Unfortunately, few of the credentials used in developing countries have been validated (in terms of whether teachers holding such credentials actually improve student achievement). In this study, we employ a student-fixed effects model to estimate the impact of teacher credentials on student achievement in the context of the biggest education system in the world: China. We find that having a teacher with the highest rank (a credential based on annual assessments by local administrators) has positive impacts on student achievement relative to having a teacher who has not achieved the highest rank. We further find that teacher rank has heterogeneous impacts, benefiting economically poor students more than non-poor students. However, whether a teacher attends college or holds teaching awards does not appear to provide additional information on teacher quality (in terms of improving student achievement). © 2015 Elsevier Inc.
Taking into account money and other resources invested into massive open online courses (MOOCs) production universities face a challenge of MOOCs integration into higher and further professional education. Is university able to warrant its investments into MOOCs? What decisions should a university consider: selling certificates to MOOC completers, launching chargeable MOOC specializations or online degree programs? How to adapt MOOCs to the needs of a broad audience so that both on-campus students and international learners could benefit from it including these courses into their individual curricula? Tomsk State University (TSU) works in an effort to solve this problem. This paper is devoted to the model of organizing e-learning in a classical university basing on MOOCs and its integration into the system of lifelong education, as well as to the steps of maintaining this complex process in the framework of current trends in e-learning.
Institutions affect investment decisions, including investments in human capital. Hence institutions are relevant for the allocation of talent. Good market-supporting institutions attract talent to productive value-creating activities, whereas poor ones raise the appeal of rent-seeking. We propose a theoretical model that predicts that more talented individuals are particularly sensitive in their career choices to the quality of institutions, and test these predictions on a sample of around 95 countries of the world. We find a strong positive association between the quality of institutions and graduation of college and university students in science, and an even stronger negative correlation with graduation in law. Our findings are robust to various specifications of empirical models, including smaller samples of former colonies and transition countries. The quality of human capital makes the distinction between educational choices under strong and weak institutions particularly sharp. We show that the allocation of talent is an important link between institutions and growth.