Повышение эффективности обучения студентов аэрокосмических специальностей с помощью специализированного рейтинга
In aerospace industry one of the main issues is the problem of the qualified specialists education. During the learning process positive incentives improve the effectiveness of the education . One of such incentives is the rating system. In this work the construction and evaluation of the specialized rating system is regarded with examples on the distance learning system that is used for learning mathematical courses by students of aerospace disciplines.
In this article, we describe the switch_probit command, which implements the maximum likelihood method to fit the model of the binary choice with binary endogenous regressors.
ля сопровождения и обеспечения учебного процесса на всех уровнях образования, а также профессиональной подготовки.
Technology of electronic distance course development was created. This technology is useful for developing training tutorial of foreign languages. Firstly, it can be integrated into the LMS and can be used online as a web service. Secondly, it can be used as a standalone desktop tutorial. A helpful tool tip was added. The tip contains grammar information and English translation for each separated word in the tutorial. With the help of this technology there was created a distance course for Russian language as a foreign one. Additionally, on the basis of Russian National Corpus there was organized a tool for search and extraction of actual sentences with examples of word usage.
This proceedings publication is a compilation of selected contributions from the “Third International Conference on the Dynamics of Information Systems” which took place at the University of Florida, Gainesville, February 16–18, 2011. The purpose of this conference was to bring together scientists and engineers from industry, government, and academia in order to exchange new discoveries and results in a broad range of topics relevant to the theory and practice of dynamics of information systems. Dynamics of Information Systems: Mathematical Foundation presents state-of-the art research and is intended for graduate students and researchers interested in some of the most recent discoveries in information theory and dynamical systems. Scientists in other disciplines may also benefit from the applications of new developments to their own area of study.
The system of natural sciences distance learning for foreign citizens at the Technical University is represented. The prospects of this type of training with innovative educational technologies implementation are shown.
The article describes an online professional development course implemented to facilitate pre- and in-service foreign language teachers’ acquisition of technology skills for teaching (Lomonosov Moscow State University, 2010-2013). It also discusses the results of an exploratory telecollaboration project between the course participants and fellow foreign language education teachers (Masters’ students in the Foreign Language Education program at the University of Texas at Austin), which was offered as part of the course in 2013. Student teachers’ views on the benefits and challenges of participating in the online course are revealed, and additional pedagogical implications for conducting similar online professional development courses are proposed.
The experience of the well known world business schools in using MBA programs is analysed. Тhe history of MBA programs is presented on many American and European examples. American and British benchmarking in qualities and the content of training programs reflects the current level of business education in many countries of the world. Programs in Harvard School of Business, Ecoles Superior de Commerce, INSEAD and other prestigious schools of business are discribed.
A form for an unbiased estimate of the coefficient of determination of a linear regression model is obtained. It is calculated by using a sample from a multivariate normal distribution. This estimate is proposed as an alternative criterion for a choice of regression factors.