The use of multifunctional statistical criteria in the development of technological aspects of self-design of students’ educational and professional activities

Author(s):  
Tatyana A. Erina ◽  
Natalya N. Motkina

Researchers in the humanities almost always have to deal with the problem of statistical processing of results and their interpretation. This is a rather laborious and painstaking work, which can be greatly simplified through the use of multifunctional statistical criteria. Within the framework of the study related to the problem of self-design of educational and professional ac-tivities of students, the analysis of the effectiveness of the introduction of technological elements using multifunctional criteria was carried out: φ* criterion – Fisher’s angular transformation and binomial criterion m. The statistical significance of the results of the introduction at a certain stage of the technology of the workshop is revealed, which makes it possible to study and apply the ele-ments of self-management in the educational and professional activities of students. For promising purposes, it is proposed to create an automated system that implements the selection of the appropriate criterion for the problem to be solved and the verification of the statistical hypothesis put forward by the researcher.

Author(s):  
N. I. Pak ◽  
E. V. Asaulenko

The relevance of the study under consideration is due to the need to increase the efficiency of students independent work in solving computational problems. A theoretical rationale is proposed and the practical implementation of an automated training and diagnostic system for the formation of skills to solve problems according to the “white box” model is described. The leading idea of the study is the construction of mental schemes for a given topic, which allow to visualize the dynamics of changes in the learner’s level of ability to solve computational problems. The methods of accounting for forgetting educational information and methods of personalized selection of tasks are substantiated. The site for self-management of user independent work is available at the link: http://msbx.ru. The materials of the article are of practical value for teachers who use e-learning tools in the educational process.


2020 ◽  
Vol 22 (12) ◽  
pp. 21-27
Author(s):  
Kostikova N.A.

Currently, in the context of the widespread use of e-learning technologies and distance educational technologies, it is necessary to train future teachers, taking into account the peculiarities of solving professional problems in an electronic information and educational environment, to develop students' relevant competencies, including network communicative competence. Despite the large number of studies devoted to the communicative aspect of the teacher's activities, the problem of the formation of network communicative competence in the electronic information and educational environment has not been sufficiently studied. Based on the analysis of scientific literature, the results of the questionnaire survey of students, some methods of forming network communicative competence in future teachers in the study of various disciplines, in the course of teaching practice, and scientific research are proposed. The analysis of the conditions and factors that determine the choice of methods for the formation of the specified competence has been carried out. These factors are associated with the teachers' perception of the peculiarities of communication in the electronic information and educational environment, the didactic and communicative potential of resources and tools of the electronic information and educational environment, the choice of methods and technologies for organizing interaction, the selection of educational material that allows the development of components of network communicative competence, the design of tasks and exercises for the development of network communicative competence, the choice of modes, schemes and forms of organization of interaction, the organization of feedback, control of the level of formation of the network communicative competence, the implementation of reflection. The formed network communicative competence will contribute to a more effective solution by the teacher of communicative tasks in the electronic information and educational environment, which will improve the quality of training of future teachers in the electronic information and educational environment.


2019 ◽  
Vol 85 (7) ◽  
pp. 73-82
Author(s):  
Vladimir O. Tolcheev

The issues of organizing an expert survey and carrying out statistical processing and analysis of the results are considered. The experts are the fifth-year students undergoing training at the Department of Management and Informatics «Moscow Power Engineering Institute» of the National Research University. The goal of the survey is revealing the disciplines that are most useful for employment in their specialty. We discuss the special features of the survey and a concept of «work in the specialty», with due regard for statistical reliability of the results. Data of written questionnaire gained in 2018 were processed and analyzed using cluster analysis (construction of dendrograms and application of the K-means method) and non-parametric statistical criteria (Friedman and Mann – Whitney – Wilcoxon). Data processing is implemented in the program STATISTICA. The analysis is carried out to reveal significant differences between the educational courses and assess the degree of consistency of the respondents to divide them into clusters that unite the students with similar judgments. Data analysis revealed that experts’ estimates in 2018 are in fairly good agreement with the estimates of previous studies; among the respondents there are three coalitions corresponding to the training modules «Software», «Management Theory», «Data Analysis»; the overall consistency of students in the two groups is very low (and, on the contrary, high in the identified clusters); grades are homogeneous and do not depend on training groups (and employment – unemployment of the respondents). The obtained results allow us to address a number of important questions regarding the ways of improving the educational process, e.g., to optimize yearly course hours for different educational modules.


Author(s):  
Ana Rita Almeida ◽  
Marta Tacão ◽  
Joana Soares ◽  
Inês Domingues ◽  
Isabel Henriques

The emergence of antibiotic-resistant pathogens due to worldwide antibiotic use is raising concern in several settings, including aquaculture. In this work, the selection of antibiotic-resistant bacteria (ARB) and antibiotic resistance genes (ARGs) was evaluated after exposure of zebrafish to oxytetracycline (OTC) for two months, followed by a recovery period. The selection of ARB in water and fish was determined using selective media. The abundance of tetA genes was estimated through qPCR. Higher prevalence of ARB was measured in all samples exposed to the antibiotic when compared to control samples, although statistical significance was only achieved five days after exposure. Isolates recovered from samples exposed to the antibiotic were affiliated with Pseudomonas and Stenotrophomonas. Various antibiotic susceptibility profiles were detected and 37% of the isolates displayed multidrug resistance (MDR). The selection of the tetA gene was confirmed by qPCR at the highest OTC concentration tested. Two MDR isolates, tested using zebrafish embryos, caused significant mortality, indicating a potential impact on fish health and survival. Overall, our work highlights the potential impact of antibiotic contamination in the selection of potential pathogenic ARB and ARGS.


2021 ◽  
Vol 13 (8) ◽  
pp. 1593
Author(s):  
Luca Cenci ◽  
Valerio Pampanoni ◽  
Giovanni Laneve ◽  
Carla Santella ◽  
Valentina Boccia

Developing reliable methodologies of data quality assessment is of paramount importance for maximizing the exploitation of Earth observation (EO) products. Among the different factors influencing EO optical image quality, sharpness has a relevant role. When implementing on-orbit approaches of sharpness assessment, such as the edge method, a crucial step that strongly affects the final results is the selection of suitable edges to use for the analysis. Within this context, this paper aims at proposing a semi-automatic, statistically-based edge method (SaSbEM) that exploits edges extracted from natural targets easily and largely available on Earth: agricultural fields. For each image that is analyzed, SaSbEM detects numerous suitable edges (e.g., dozens-hundreds) characterized by specific geometrical and statistical criteria. This guarantees the repeatability and reliability of the analysis. Then, it implements a standard edge method to assess the sharpness level of each edge. Finally, it performs a statistical analysis of the results to have a robust characterization of the image sharpness level and its uncertainty. The method was validated by using Landsat 8 L1T products. Results proved that: SaSbEM is capable of performing a reliable and repeatable sharpness assessment; Landsat 8 L1T data are characterized by very good sharpness performance.


2021 ◽  
pp. 34-44
Author(s):  
Yu. O. Kuzmina ◽  
E. S. Tregubova ◽  
E. S. Mokhova ◽  
Yu. P. Potekhina

Introduction. The health status of children of the first year of life is primarily affected by the course of pregnancy and childbirth, as well as hereditary factors. During the newborn period, reversible disorders may occur, which can be estimated as somatic dysfunction (SD). The formation of SD in young children has its own causes and features, which have not been studied in detail until now.The goal of research — is to study the features of the osteopathic status in children of the first year of life with different patterns of pregnancy and delivery methods for their mothers.Materials and methods. Since 2015, for 5 years, a prospective multicenter study has been conducted to investigate the osteopathic status of children of the first year of life under a single protocol in 6 cities of Russia, organized by the Institute of Osteopathy (St. Petersburg) and the Department of Osteopathy of Mechnikov North-West State Medical University. A total of 360 full-term infants aged 1 to 12 months with perinatal hypoxic-ischemic lesions of the central nervous system, and practically healthy ones were examined. All children underwent an osteopathic examination, and a detailed history of pregnancy and childbirth was collected. Based on the results of the obstetric history analysis the following groups were selected: physiological course of pregnancy, ending in physiological childbirth through the natural birth canal — 62 people; physiological course of pregnancy, ending with operative delivery — 25 people; physiological course of pregnancy, ending in complicated labor through the natural birth canal — 20 people; pregnancy with complications, ending in physiological childbirth through the natural birth canal — 104 people. Statistical processing of the obtained results was carried out by nonparametric methods using the Statistica 10.0 software.Results. In children born by physiological childbirth with complicated pregnancy, a smaller number of local SD (p=0,04) and a larger number of global SD were detected, but the difference with the subgroup of the pregnancy physiological course did not reach the statistical significance. In children whose mothers had a physiological course of pregnancy, but childbirth proceeded with complications and required the use of obstetric assistance, the significantly more number of regional SD were revealed (p<0,0001) compared with children born in physiological childbirth. The latter had a greater number of local SD of the craniosacral system (p=0,035). In children born by caesarean section and in children born through the natural birth canal without complications, the number of global, regional and local SD did not differ statistically significantly. Osteopathic examination of children in the first year of life showed that the first three places in the structure of dominant SD were occupied by SD of the neck, head, and dura mater.Conclusion. Based on the data obtained as a result of the study, it can be assumed the presence of numerous factors that can lead to the formation of various SD in children of the first year of life during pregnancy and especially during childbirth. It is necessary to further study the features of the osteopathic state in children in the postnatal period.


2008 ◽  
Vol 3 (3) ◽  
pp. 3
Author(s):  
Robert A. Wright

Objective – The aim of this article is to present evidence based methods for the selection of chemistry monographs, particularly for librarians lacking a background in chemistry. These methods will be described in detail, their practical application illustrated, and their efficacy tested by analyzing circulation data. Methods – Two hundred and ninety-five chemistry monographs were selected between 2005 and 2007 using rigorously-applied evidence based methods involving the Library's integrated library system (ILS), Google, and SciFinder Scholar. The average circulation rate of this group of monographs was compared to the average circulation rate of 254 chemistry monographs selected between 2002 and 2004 when the methods were not used or were in an incomplete state of development. Results – Circulations/month were on average 9% greater in the cohort of monographs selected with the rigorously-applied evidence based methods. Further statistical analysis, however, finds that this result can not be attributed to the different application of these methods. Conclusion – The methods discussed in this article appear to provide an evidence base for the selection of chemistry monographs, but their application does not change circulation rates in a statistically significant way. Further research is needed to determine if this lack of statistical significance is real or a product of the organic development and application of these methods over time, making definitive comparisons difficult.


2020 ◽  
Vol 47 (5) ◽  
pp. 330-342
Author(s):  
Mergaljas M. Kashapov ◽  
◽  
Yuliya M. Perevozkina ◽  
Roman A. Bidenko ◽  
Ivan O. Smolentsev ◽  
...  

Problem and purpose. The relevance of the study is due to the specifics of military education, which is characterized by increased requirements for the training of future officers. A special place among these requirements is occupied by professional thinking, the formation of which presupposes both intellectual and certain personal characteristics. The purpose is to determine the prognostic capabilities of personal characteristics for the differentiation of types of professional thinking of cadets of a military educational institution of the National Guard of the Russian Federation. Research methodology and methods. According to the diagnostic results, all cadets (N = 150) were divided into three groups according to the prevalence of a certain level of professional thinking in them; 1) oversituational type of thinking, 2) situational type of thinking, and 3) mixed type of thinking. This variable acted as a response in discriminative analysis, and personality traits of cadets, measured by the 16 PF method, and a number of other questionnaires were chosen as predictors. Research results. The results of direct discriminative analysis indicate a high statistical significance of the empirical model (p = 0.000), having good discrimination (λ = 0.04), consisting of two discriminative functions and 16 predictors. All respondents were absolutely correctly assigned to their «own» groups (100%). At the same time, the highest probability of getting into «their» group is for servicemen with a oversituational type level of professional thinking (82%). Discussion of results and conclusion. The predictive influence of personal qualities on the dominance of cadets of a certain type of professional thinking does not have a separate effect of each quality, but has the character of structural interaction. This research contributes to the psychology of work, contributing to the expansion of scientific knowledge about the professional activities of the military.


Author(s):  
Sach Mukherjee

A number of important problems in data mining can be usefully addressed within the framework of statistical hypothesis testing. However, while the conventional treatment of statistical significance deals with error probabilities at the level of a single variable, practical data mining tasks tend to involve thousands, if not millions, of variables. This Chapter looks at some of the issues that arise in the application of hypothesis tests to multi-variable data mining problems, and describes two computationally efficient procedures by which these issues can be addressed.


Sign in / Sign up

Export Citation Format

Share Document