Investigation of Temperament Characteristics Influencing the Academic Achievement of First-year University Students
The article examines the influence of human temperament on academic performance and predictions of "risky" students. Analysis was held with the help of statistics methods and methods of data mining. The baseline data for the study is information about students, collected using the online support system for the educational process at HSE - LMS (Learning Management System). The study found a relationship between temperament and academic success, making it possible to predict "risky" students. The result of the study was the recommendations of the education office to draw the attention of "risky" students, to carry out preventive measures: the organization of electives, the assignment of a curator, a check of the student's readiness for classes.
In this paper, we examine the relative academic effectiveness of vocational education in three countries with early tracking systems: Austria, Croatia and Hungary.
We use an instrumental variables approach to estimate vocational education’s relative academic effectiveness in terms of achievement on an international test, the OECD’s Program of International Student Assessment (PISA), and two possible indicators of non-cognitive outcomes—self-efficacy in mathematics and intrinsic motivation in mathematics, both also available from the PISA student survey.
Our results show few, if any, differences in student gains from attending the vocational track in secondary school as opposed to the academic track. Specifically, the results show that attending the vocational or academic track results in similar achievement gains in the10th grade and generally similar gains in self-efficacy and motivation in mathematics.
The study is unique because in the three countries, we can use a fuzzy regression discontinuity approach based on school systems’ age entrance date rules to estimate the gain in test scores over an academic year and to compare the gain for students in the vocational and academic tracks. Our results contradict almost all other studies by showing that in these countries student academic gains in vocational education are about the same as in the academic track.
Homophily - tendency for people to form social connections with similar others - is one of the key topics in social network analysis. It indicates to what extent people tend to be similar to their friends and in what dimensions. For the long time homophily was just an index of the social similarity, but for the recent years the interest for the homophily formation, dynamics and multidimensionality increased. In this paper we investigate the homophily in such social constructed behavior as food consumption and academic achievements. The study of body mass index in social network context reveals the presence of homophily, which means that persons with similar constitution are more likely to be interconnected with each other. Interestingly, that healthy food consumption has no impact on social network formation, but there is homophily based on fast food consumption. Thus, ‘bad habits’ are stronger forces for the social ties formation. This results show that social constructed behavior is an important component on the process of social network formation.
The article discusses the influence of temperament on the academic performance of the first-year students at HSE-Nizhny Novgorod on the example of the Faculty of Informatics, Mathematics and Computer Science (IM&CS). The analyses were done with the help of statistics and educational data mining. The baseline data for the study is information about students, obtained by a survey: the information about temperament, degree of extraversion, stability, and other personality traits of students. The study involved students of the first and second years of the faculty of the IM&CS 2017-2018 academic year. Further, psychological factors affecting the average score and the probability of re-training for students with different temperaments were identified. A certain connection between temperament and academic success, which makes possible the prediction of "risky" students, was found. Various machine learning methods are used: the kNN-method and decision trees. The best results were shown by decision trees. As a result, first-year students are classified into three groups (Good, Medium, Bad) according to the degree of risk of getting academic debt. The practical result of the research was the recommendations to the educational office of the Faculty of IM&CS to pay attention to risky students and assist them in the educational process. After the end of the summer session, the classification results were checked. The article also presents an algorithm for finding risky students, taking temperament into account.
The article is dedicated to the analysis of the connection of socio-demographic characteristics, educational achievements and contextual factors with the educational aspirations of Russian ninth graders. In addition, it examines how students’ aspirations and the level of education of their parents are interconnected. Particular attention is given to issues relating to the dynamics of aspirations depending on different trajectories of education after high school graduation. The analysis is based on data of the panel study “Trajectories in Education and Careers” (TREC: http:// trec.hse.ru/) of HSE Institute of Education.
This article focuses on the model of client's portfolio formation of logistics company. There is an analysis of alternative results of negotiation process and there is procedure of minimization of loss probability of potential clients.