bluuebunny/crossref_metadata_2025 huggingface dataset:
Analisis Pengaruh Inflasi, Nilai Tukar Rupiah, dan BI-Rate terhadap Harga Indeks Saham Syariah Indonesia
Authors: Tripuspitorini Fifi Afiyanti
Published: September 2022

Islamic investment is experiencing an upward trend from year to year. Many investors are starting to look at Islamic stocks. One of the Islamic stocks in Indonesia is the Indonesian Sharia Stock Index (ISSI). Investors must have many careful considerations to invest. One of the factors that may influence stock prices is macroeconomic factors. This study aims to determine how macroeconomic variables in the form of inflation, the rupiah exchange rate against the dollar, and Bank Indonesia interest rates can affect the ISSI stock price. This study uses a quantitative data approach. The data is obtained from the Sharia Stock Index (ISSI) in the monthly period January 2016 to December 2018.Meanwhile, data analysis used Partial Least Square (PLS) with the help of WarpPLS. The results showed that inflation and the rupiah exchange rate had no effect on the ISSI stock price. while the BI rate has a significant negative effect on the ISSI stock price.
Metode RGEC untuk Menganalisis Kesehatan Bank di Bank BRI Syariah
Authors: Sari Widya , Sadilah Dea Nur
Published: September 2022

The background of this research is the fluctuation in financial ratios which is influenced by the amount of non-performing financing, the amount of third party funds released for financing, the ability of bank management to control the efficiency of the company, and the adequacy of capital owned by the bank. So that with the aim of knowing the level of bank soundness at BRI Syariah Bank for the period 2016 - 2020, an analysis is carried out according to the Financial Services Authority Regulation No. 8/POJK.03/2014 concerning the assessment of the soundness level of Islamic commercial banks and sharia business units, namely by using the RGEC method. In this study, the method used is a qualitative research with a descriptive approach. Secondary data is obtained from the BRI Syariah Bank Annual Report and the GCG Implementation Report published on the company's official website. Data collection was carried out by the author using documentation and literature studies. In this study, the steps taken in data analysis are data collection, data reduction, data presentation, and drawing conclusions. The results of the study indicate that the health level of BRI Syariah Bank according to the Risk Profile factor is Healthy and Very Healthy. The Good Corporate Governance factor received the title of Healthy. Earning factor obtained the predicate of Unhealthy and Unhealthy. And Capital Factor received the title Very Healthy.
GAMPIL : Upaya Penguatan Daya Saing Ritel Mikro di Era COVID-19 dan Peningkatan Minat Memiliki Legalitas Usaha
Authors: Foster Bob , Johansyah Muhamad Deni
Published: September 2022

In micro-scale retail, there are problems with the cost of legality management, the high costs and complicated rules are obstacles and the cause of the decrease in the number of legality ownership of micro-scale retailers. Based on this, the Bandung City Government, West Java, innovated using application technology and the internet for legality management, which was called the Gadget Application Mobile for License abbreviated as GAMPIL. This study is intended to determine whether efforts to strengthen internet-based applications can reduce the number of micro retailers that do not yet have legality and create a competitive power for micro-scale retailers in Indonesia, especially the city of Bandung. With a quantitative approach and explanatory research methods, 300 retailers from the city of Bandung, East Bandung to be exact, were taken randomly as a sample in the hope that the research can provide input for the government regarding strengthening the competitiveness of MSMEs in Bandung City through licensing. The results obtained are that the presence of GAMPIL as an application-based business license management innovation is able to increase the competitiveness of micro-scale retailers and their interest in having legality increases by 49.1%.
Critical Environmental Factors that Affects the Implementation of Ehealth, Kenya
Authors: Ayub H. Shirandula  , Jasper Ondulo  , Kelvin K. Omieno
Published: September 2022

Information technology is used to offer Health services, the use of computers in health is referred to as eHealth. The benefits of using eHealth is enormous, however people have not appreciated it fully because of problematic factors associated with its adoption and implementation. The main objective of the study was to investigate the environmental factors that influences the adoption and implementation of eHealth in Kenya. The study was guided by technology organization and environmental framework (TOE) as the base that informed it. This study used quantitative approach methods. The quantitative research used the deductive research approach. This was achieved by using primary research where organized questionnaire was deployed for the interaction with primary research responded. The respondents were individuals or experts with knowledge of eHealth, ICT in health care service provider’s facilities at the county referral hospital and other health facilities in Kakamega county in Kenya. The results suggest that there is a significant statistical relationship between the environmental sub factors and decision to adopt and implement eHealth technology. The findings advocate that for adoption and implementation of the eHealth technology do not just rely on technical expertise to evaluate the technology but also evaluate the environmental factors of the organization. This study mutually supports and contrasts previous findings providing new insights and avenues for future study.
E-Health Implementation in Kenya : Current Position
Authors: Ayub H. Shirandula  , Kelvin K. Omieno  , Jasper Ondulo
Published: September 2022

Health care systems face many challenges both in developed and developing countries like Kenya. EHealth, which is the application of ICT, has turned out to be a remedy for most of these problems. In this paper, the researcher looked at what E-health is and why EHealth in Kenya has trailed behind compared to other industries like banking and the education sector. The study was guided by Actor Network Theory (ANT). The researcher used literature review as a methodology for the study. The key EHealth solutions that have been adopted and implemented in Kenya were identified and the status of e-health in Kenya was also identified. The study also looked at the environment provided by Kenya for e-health. Some of the policies put in place for e-health implementation and challenges facing e-health in Kenya were also highlighted. And it was found out that EHealth is still at the infancy stage in the country.
Predictive Disease Data Analysis of Air Pollution Using Supervised Learning
Authors: Manikanta Sirigineedi  , Padma Bellapukonda  , R N V Jagan Mohan
Published: September 2022

Air pollution is a combination of natural and manmade substances in the air we breathe. It is classified into two major categories, i.e. outdoor air pollution and indoor air pollution. Outdoor air pollution involves exposures that take place outside the built environment where as, indoor air pollution involves exposure to particulates, carbon oxides, and other pollutants carried by indoor air or dust. In this paper, we would like to propose that air pollution relates to increased cardiovascular and breathing related problems data rate, prediction with supervised machine learning. The study is largest of its benevolent to investigate the short-term impacts of air pollution is conducted completed a 30-years epoch. This study analyzes the experiments data on air pollution and humanity in India and other regions. The experimental result is on Risk of Cardiovascular Illness in several patients data classification is used.
Content-Based Image Retrieval Using Deep Learning
Authors: Dr. J C Karur  , Asma Hebbal  , Dr. Jagadeesh Pujari
Published: September 2022

The most prevalent and well-used method for obtaining images from huge, unlabelled image datasets is content-based image retrieval. Convolutional Neural Networks are pre-trained deep neural networks which can generate and extract accurate features from image databases. These CNN models have been trained using large databases with thousands of classes that include a huge number of images, making it simple to use their information. Based on characteristics retrieved using the pre-trained CNN models, we created CBIR systems in the work. These pre-trained CNN models VGG16, and MobileNet have been employed in this instance to extract sets of features that are afterward saved independently and used for image retrieval.
Offline Handwritten Mathematical Expression Recognition using CNN and Xception
Authors: Sanjeevini Nasi  , Sharada H N
Published: September 2022

Mathematical expressions generally play a requisite role in scientific communications. They are not just used for numerical calculations, on the other hand, are also employed for fetching scientific information with less ambiguity, and facilitate researchers to exactly outline and formalize target problems. It takes far longer to manually enter mathematical formulas into a computer than it does to write them down on paper using a pen. Recently, we proposed deep learning methods that can identify images of trigonometric expressions from 2dimensional layouts to 1dimensional strings in order to solve this issue. As densely connected convolutional neural networks (CNN) can boost accuracy, we utilize CNN to improve the results in this study. In order to compare performance, the Transfer Learning framework Exception is employed, which obtains 90% accuracy when recognizing handwritten mathematical expressions. CNN provides 98% accuracy in this regard. Therefore, the CNN model that we created has a higher accuracy rating than the Transfer Learning model Xception
Edge Technology Based Artificial Intelligence System for Ocean Patrol and Surveillance
Authors: Abhinav Potineni
Published: September 2022

The oceans are a principal source of biodiversity, and with a global seafood market worth over $120B, they’re a crucial resource to almost half of the world’s population [1]. Costing society $23.5B annually, overfishing caused by illegal, unreported, and unregulated fishing (IUU fishing) contributes significantly to this depletion of fisheries. According to the World Wide Fund for Nature, IUU fishing “threatens marine ecosystems, puts food security and regional stability at risk, and is linked to major human rights violations and even organized crime.” In some locations, government-employed observers accompany boats to prevent IUU fishing [2]. However, even in wealthy countries, observers only monitor a minuscule percentage of fishing vessels. For example, in the expansive region of the Pacific Ocean from Indonesia to Hawaii, just 2% of fishing operations are monitored by observers. To combat the problem of IUU the experimenter developed an Edge Technology Based Artificial Intelligence System for marine protected areas (MPAs) using low-cost edge computing devices to track illegal fishing activity through AI-based image recognition services. The product is a solar-powered, inexpensive, edge computing and monitoring device mounted on buoys with a video camera and processor to analyze images using machine learning models. The model detects vessels, monitors their illegal activity in the oceans, thus reducing the overexploitation of fishing. The edge device does processing locally and sends relevant data to the database, reducing the need for processing vast amounts of images & videos centrally. A stealth Autonomous Aerial Vehicle (drone) with a pre-programmed flight path collects the data from buoys and reports predictions to ground stations providing 24x7 surveillance capabilities.The product has a broad range of potential applications to detect overfishing, piracy, smuggling, and instances of ocean pollution, including oil spills. It can also be deployed for marine surveillance, primarily supporting the national defense. The immediate application for this product is the continuous surveillance and protection of targeted MPAs by alerting illegal fishing activities to governments and NGOs in real-time.
IoT Based Hand Sanitizer
Authors: Rudra Dutt  , Akshat Srivastava  , Tarun Aditya Kusupati  , Basab Nath  , Chandrashekhar Kumbhar
Published: September 2022

COVID-19 has become one of the crucial challenges in today's world. As a result, many major countries have failed to safeguard themselves from its spread. Wearing a mask and washing their hands at regular intervals are two of the most critical things that health experts are telling people to do to protect themselves from this virus. To avoid getting infected by the new coronavirus, hand cleanliness has become one of the most critical aspects of our daily life. Hand sanitizer is the bare minimum we can do to keep our hands clean, but authorities are concerned about the monitoring of sanitizer levels in public venues such as airports, malls, and universities. We propose a solution to this wide-spread problem by developing an IOT-based hand sanitizer that would display all the essential data of each dispenser deployed on a website. The boon of IOT has given us the ability to design a system which could help eradicate COVID- 19 and save lives.
Design and Synthesis of certain Novel Peptides for Dual Selective Activity of Specific Cells
Authors: Edwin Paul  , P. Ganesan  , V. Jaisankar
Published: September 2022

Cancer and the multi-resistant diseases that plague people today must be controlled to lower mortality rates. With the low susceptibility to resistance, the design and synthesis of peptide assembling was a superior alternative upgrading source for future chemotherapeutic medications. This paradigm first appeared in the pharmaceutical industry. It has been demonstrated that specific peptides exhibit dual functions as antibacterial and anticancer peptides (ACPs). Using a minimalized approach, a 10-residue peptide P1 and Rhodamine tagged peptide P2 were designed and synthesized using solid phase peptide synthesis method (SPPS) for selective activity against microbial and cancer cell lines. Peptide P1 contains RGD sequence has a net charge of +2 and peptide P2 has net charge of -4. The peptide P1 and P2 are characterized by using spectroscopic techniques. Circular dichroism studies showed changes in the secondary structure of peptide 1 and peptide 2 with buffer. Cytotoxicity assay exhibited the viability of normal and cancer cells up to 5 ?g concentrations of peptide 1.Thus, Peptide 1 acts on therapeutic properties like antibacterial and anticancer. Both peptide activities are checked against gram-positive and gram-negative bacteria at lower concentration. We can ensure the toxicity level of designed both peptides. Peptide P1 and peptide P2 sequence are non-toxic and recognition of selective activity against cancer cells.
Impact of COVID-19 on FDI in India
Authors: Dr. Sourabh Singha Roy
Published: September 2022

In this research article the researcher analyzed the significant research issues about impact of COVID-19 on FDI in India. It may be noted that FDI inflow has increased by 23% post-Covid (March 2020 to March 2022: USD 171.84 billion) in comparison to FDI inflow reported pre-Covid (February 2018 to February 2020: USD 141.10 billion) in India. Despite the uptick in investment flows to developing nations, many sectors such as energy and food remain under-developed. The total FDI in the developed economies rose to an estimated $777 billion in 2021, three times the level in 2020 and the highest since 2011. The researcher designs this research article based on secondary data and represented to analysis report in between 2011 to 2022. The data are compiled using SPSS software and inferences are generated to shows the statistical analysis of impact of COVID-19 on FDI in India.
A Survey on Stress Detection Through Speech Analysis Using Machine Learning
Authors: J. Vamsinath  , B. Varshini  , T. Sandeep  , V. Meghana  , B. Latha
Published: September 2022

The project's goal is to develop a model for stress detection of humans using speech. We present a deep learning-based psychological stress detector model using speech signals. The main aim is to differentiate stressed and non-stressed speeches. The deep learning algorithm used here is Convolutional Neural Network(CNN) which is made up of layers that are all related.
Speech is transformed into spectrograms and they are fed to the Convolutional Neural Network(CNN) model. Mel-frequency cepstral coefficients are used to extract features from pre-processed data. The results of this model can then be predicted exactly using binary decision criterion.
The levels of particular hormones like cortisol are being used to consistently detect stress. In Fact the aim of this project is to automate the process of stress detection without the intervention of a Doctor or Psychiatrist. This project proposes a hybrid deep learning model to analyze whether the person is stressed or unstressed using speech.
A digital footprint as a mechanism of individualizing a student’s educational trajectory (on the case of the "Digital technologies of self-education" course)
Authors:   Samara State Transport University, Gorbatov Sergey , Krasnova Elena A. ,   Samara State Transport University
Published: September 2022

Introduction. Digital transformation of the education sector leads to accumulation of a significant amount of digital information about the educational process. Analysis of a student's digital footprint can become one of the means of individualizing his educational trajectory. To personalize the progress of mastering an educational program, it is optimal to use the resources available in the toolbox of the educational institution. The purpose of the paper is to describe a model of an electronic training course based on LMS Moodle, which allows you to build a trajectory for studying a subject based on a student's digital footprint, as well as to describe the results of this course testing. Materials and methods. Modeling of the e-course was carried out on the basis of the analysis of the basic principles of individualization of the educational trajectory, described in scientific and methodological works. Testing of the course "Digital Technologies of Self-Education" was carried out on the basis of the Samara State Transport University. Nonparametric methods of mathematical statistics were used to process the obtained results. To compare the control and experimental groups, the Mann-Whitney. Results. The study revealed efficiency of including the mechanisms of individualization of the educational trajectory into the educational process. 86% of students completed their studies on time with a positive result. The number of students who continued to complete the course assignments after receiving the minimum points was 27%. The research confirmed the quality of knowledge and skills obtained by students in the course of mastering an electronic training course with the support of an automated mechanism for forming and assessing students' competencies. The study proved the positive impact of the course "Digital Technologies of Self-Education", developed on the basis of the algorithmization of the process of achieving the goal, on mastering related subjects (p < 0,01). Practical significance. The proposed model for developing a training course based on LMS Moodle using standard system tools is universal and allows you to individualize the trajectory of a student's mastering of an academic discipline by varying educational tasks depending on the level of individual skills. Conclusion. Algorithmization and automation of the process of collecting and processing educational results of students frees a teacher from routine tasks, solves the problem of strengthening thematic and interdisciplinary connections in the learning process, and also enables to make the learning process more flexible and personalized without losing the quality of competencies formation. Students' understanding of their educational route enhances their motivation for learning, allows them to realize their individual needs in developing professional skills.
Innovation in engineering education using AR technology on the example of disciplines “Descriptive Geometry” and “Engineering Graphics”
Authors:   Saint-Petersburg Mining University, Merkulova Victoria A. , Tretiakova Zlata O. ,   Saint-Petersburg Mining University, Shestakova Irina G. ,   Saint-Petersburg Mining University
Published: September 2022

Research relevance. With the use of computer-electronic-digital equipment, the achievements of scientific and technological progress become part of education. This obliges to improve the field of education: to change and create the forms and content of education, methods and approaches to the educational process, to increase the volume and quality of knowledge. Augmented reality favors autonomous learning by using mobile devices, simplifies the understanding and interpretation of geometric shapes and contributes to the development of students' spatial thinking. The research purpose is to form new knowledge, skills and abilities for the convergence of the real and digital worlds based on the possibility of using augmented reality technology, to determine the reasons that make it difficult for users to accept information technology as an educational tool. Materials and methods. Scientific papers published between 2013 and 2022 in the scientometric databases Scopus, Web of Science, Google Scholar, E-library were considered, pedagogical experience on the research topic was studied; various types of diagnostics of students were taken into account with summing up the outcomes and the results of theoretical and practical research were summarized. A practical study of the problem was carried out by creating a 3D model of octants and projections of points. Research results. An augmented reality application was created on the Unity 2018.4.12f1 platform with additional modules – Vuforia Augmented Reality Support and Android Build Support. When developing the application, the authors created 3D models of octants, projections of points in the SketchUp program. A survey on conscious understanding and mastering the descriptive geometry course showed that the majority of students showed positive dynamics in mastering the descriptive geometry course. Conclusion. As a result of using a specially developed application based on the augmented reality platform, it is possible to move from standardized educational trajectories to individual ones, which significantly increases the effectiveness of modes of study and restructuring of the educational process.
Traditional and adaptive learning paradigms as integral components of the innovation-oriented education of the future
Authors:   N.M. Fedorovsky Polar State University, Kochetkov Maksim V.
Published: September 2022

Introduction. Traditional education is often opposed to other approaches as some kind of unacceptable extreme. Meanwhile, traditional education represents the nature of a person's creative potential, where both reproductive and creative aspects are significant. The task of innovation-oriented education is due to the balance of the noted aspects of creativity in the context of the content of education, its temporal and other limitations, and, most importantly, the actual as opposed to the declared demand of society for the creative qualities of a citizen, primarily his or her capacity for breakthrough innovations. The purpose of the study is to substantiate the theoretical and practical foundations of innovation-oriented education. Methods. The legacy of John Amos Comenius, the "flipped learning" paradigm in its evolutionary development according to the creative and co-creative methodological foundations of the author’s technology and the "adapting learning" paradigm, a model of education in the discourse of an elitist socio-cultural reality are used herein as a methodological basis for the training of an innovative specialist. Results. The author's technology of "adaptive learning" is revealed. It provides for the organization of training in the form of an unconventional sequence of classes. At the same time, practical or seminar classes held before the lecture are aimed at self-actualization of the educational material problems by the trainee. Adaptive learning can be perceived as a modern version of the "flipped classroom" technology ("flipped learning"), which, under conditions of blended learning, becomes the dominant paradigm of education. It is recommended to widely introduce the adaptive learning technology (paradigm) based on the creativity and co-creation methodology. Conclusion. In the future, the academic lecture inherent in traditional education will act in the system of higher education as a significant feature of an advanced educational institution. The key features of innovation-oriented educational activity are associated with harmoniously combined reproductive and creative manifestations of the learning process, being determined by the coordinated change of the teacher and student. They are conditioned by the search, self-actualized, "problematically matured" cognitive activity of the student. These features characterize a promising technology (paradigm) of "adaptive learning".
Inclusion of parents in speech therapy work on the correction of speech disorders in children
Authors:   Vyatka State University, Gorodilova Svetlana A. , Sheshukova Natalya N. ,   Vyatka State University, Boginskaya Iuliia V. ,   V.I. Vernadsky Crimean Federal University, Guterman Larisa A. ,   Southern Federal University, Karantysh Galina V. ,   Southern Federal University
Published: September 2022

Introduction. The need to include parents in the correctional and educational process of children with disabilities is indicated in international and federal regulations, in Russian and foreign theoretical and practical studies. However, most parents have little idea of possibilities of their participation in the correction of developmental disorders, in particular, the correction of speech disorders in children. The study of parents’ correctional and speech therapy competence in order to develop a program for organizing the speech therapy work of parents with preschoolers with general speech underdevelopment (GSU) determines the relevance of this study. Materials and methods. The study involved 96 people, including 48 preschoolers with three-level GSU at the age of 5-6 and 48 parents at the age of 27±5.4. Research methods and techniques: a questionnaire by V.A. Borodina, K.S. Vasilyeva, which reveals the components of parents’ correctional and speech therapy competence (motivational, cognitive, activity and evaluative ones); statistical processing was carried out using Student's t-test. Results. According to the results of the ascertaining experiment, 54% of parents showed an average level and 46% – a low level of correctional and speech therapy competence. After applying a specially developed program for organizing parents’ speech therapy work with preschoolers with GSU, significant changes in parents’ correctional and speech therapy competence were diagnosed: a low level was detected in 4% of the parents, an average level – in 42%, and a high level – in 54%. When comparing the indicators before and after the formative experiment using Student's t-test, significant differences were revealed in the level of corrective speech therapy competence of parents of preschoolers with GSU (temp =12.0 p≤0.001). Conclusion. The data obtained in the study of the correctional and speech therapy competence of parents of children with GSU show that after the parents are included in speech therapy work to correct speech disorders in children by increasing parents’ motivation to interact with teachers of an educational institution, parents’ awareness of children’s speech development, special training in the organization of speech therapy classes with children, the effectiveness of speech therapy work to overcome general speech underdevelopment in preschoolers has increased.
Model of interaction between a university, a youth center and a public association for organizing free time of disabled youth
Authors:   Kurgan State University, Ryleeva Anastasia S. , Emanova Svetlana V. ,   Kurgan State University, Khomutnikova Elena A. ,   Kurgan State University
Published: September 2022

Research problem and purpose. Today, disabled youth are the most vulnerable category, experiencing difficulties in socialization into society. Currently, the task of their support is being solved pointwise by non-profit public organizations. In this regard, it is necessary to propose a different content of practice-oriented procedures for the formation of an independent, socially mobile personality of a young disabled person capable of successful integration into society. The research purpose is to test a program of psychological and pedagogical support for disabled youth aged 18-30. Materials and methods. The monitoring was attended by 150 young disabled people with mental and physical disabilities of a public association “Mnogogrannik” of the city of Kurgan (Kurgan region, Russian Federation). The following methods were used: H. Eysenck's questionnaire “Self-assessment of Mental States”, a personal differential method by D.A. Bogdanova, S.T. Posokhova, M. Luscher’s color test. Results. A program of work with disabled youth was developed and tested to form a positive attitude towards oneself, develop social skills, overcome negative emotional states. Positive dynamics was revealed in the emotional state of disabled youth in terms of frustration (χ2=12.593, p=0.002), aggressiveness (χ2=53.333, p<0.001), rigidity (χ2=45.898, p<0.001), self-esteem (χ2=9.679, p=0.008). Conclusion. The conducted research proved that the category of disabled youth aged 18-30 needs comprehensive and systematic support. The solution to the research problem was proposed to be implemented through the integration of the efforts of a university, a youth center and a public organization “Achilles”, which helped to overcome negative emotional states in disabled youth.
Rural schools: a model for achieving targets for personal development in a psychologically comfortable educational environment
Authors:   Vyatka State University, Korshunova Olga V.
Published: September 2022

Introduction. Regulatory documents in the field of education clearly indicate the requirement to build a developing educational environment in each educational organization. At the same time, psychological comfort is an important condition for its functioning. To study the formation and support of such an environment is an urgent problem for rural schools, especially in the context of achieving the goals of developing the actual qualities of the personality of the information world. The purpose of the research is to justify and develop a model for achieving targets for personal development in a psychologically comfortable educational environment in a rural school. Materials and methods of the research. The main method is the triadic method of information criteria. Additional methods are the analysis of literary works on the problem and modeling. Research results. The model for achieving targets for personal development in a psychologically comfortable educational environment in a rural school has scientific justification and textual and graphical expression (design). The model is presented in steps. It has 7 levels, which together determine options for forming of personality traits that are in demand by modern challenges and threats as a component of the “21st century skills” for students in rural schools. The model determines the total of probable forms of the educational environment, identified according to the criterion "the possibility of developing personality traits that are in demand in the modern world, subject to psychological comfort". It allows a) to identify possible combinations of these personal qualities that determine the creation of different variations-types of the educational environment; b) to analyze the directions and trajectories which can be used to form and develop the environment for the required personality parameters. The model is an analogue of a morphological box, which, taking into account the context of a particular rural school, allows to determine the most optimal way for developing personality traits in an educational environment “tuned” for the priority improvement of independence, initiative, involvement, subjectivity, reflexivity and confidence of all subjects. Significance of the research. The results of the study develop the pedagogical theory of the educational environment in the context of achieving the goals of modern education and ensuring the psychological well-being of subjects. The developed model can be applied not only in rural schools, but also in urban ones, adjusted for a specific context. As for the managerial aspect, the result in the form of a model is valuable knowledge for administrative workers of educational organizations of any type.
Improving online learning system by means of artificial intelligence
Authors:   Financial University under the Government of the Russian Federation, Nikitin Petr V. , Gorokhova Rimma I. ,   Financial University under the Government of the Russian Federation, Abashin Valery G. ,   Financial University under the Government of the Russian Federation
Published: September 2022

Introduction. Online learning is applied in the educational system more and more actively every year. The bulk of learning activities in many programmes and courses is shifting from the classroom towards individual work. The interaction between the student and the teacher is decreasing, which negatively affects the quality of education. The aim of the research is the development of methods and algorithms for assessing the psycho-emotional state of learners and their involvement in the teaching process in online education, as well as evaluation of their impact on the efficiency of training. Materials and methods. More than 100 students of Russian State Agrarian University – Moscow Timiryazev Agricultural Academy and Financial University took part in the survey. The following characteristics were measured during the online teaching: involvement in the educational process, students’ psycho-emotional state. In order to build the training algorithms assessing students’ engagement in online learning, the modernised dataset DAiSEE was used; for assessing the psycho-emotional state – the dataset fer2013. Convolutional neural networks were used as model algorithms. The ROC curve and accuracy parameters were used as metrics for model training quality. The Farrar-Glauber test was used for the analysis of multicollinearity of parameters. To prove the efficiency of the developed methods, the statistical criteria – Fisher’s F-test and Student’s t-test – were used. Results and discussion. The developed models demonstrated an excellent quality of training. The accuracy of recognising student engagement in the learning process exceeded 90%, the accuracy of identifying the emotions in online learning was over 90%. The inculcation of the said algorithms in the online learning system showed due efficiency. It was proved that the control group (23 students) and the experimental group (25 students) differed significantly in statistical terms (temp = 2.53; p < 0.05). The learners’ involvement, their emotions and the actual knowledge of the subject area did not show any strong correlation with each other (FGemp=3.61 < FGcrit=7.81). Conclusion. It was proved that the introduction of artificial intelligence systems in the learning process made it possible to adjust the online learning system with regard for the obtained recommendations on the student’s psycho-emotional state and his/her involvement in the training process. Thus, the interaction between the student and the teacher, although weakened in comparison with face-to-face training, nevertheless remains at a sufficiently high level and allows influencing the students’ motivation and mood, which leads to improved quality of education.
Case tests as a tool for identifying of teacher’s professional deficits in the interpretation of complex knowledge
Authors:   Yaroslavl State Pedagogical University named after K. D. Ushinsky, Smirnov Eugeny I. , Skornyakova Anna Yu. ,   Perm State Humanitarian Pedagogical University, Tikhomirov Sergey A. ,   Yaroslavl State Pedagogical University named after K. D. Ushinsky
Published: September 2022

Introduction. The formation of functional (mathematical) literacy of students has been the basic trend of mathematical education in secondary school in recent years in connection with the results of the international PISA testing. Pedagogical experience, theory and practice, requests and challenges of real life show that fundamental mathematical abilities and situations of overcoming difficulties in mastering complex knowledge play a central role in various levels determining in the formation of mathematical literacy success. The purpose of the study is to identify the subject and methodological deficiencies of teachers in the interpretation of complex knowledge as a factor in the formation of mathematical literacy of students, using the original competence meters in case tests e form and using Google Forms. Materials and methods. Materials: diagnostic case-tests; online service Google Forms. Methods of descriptive statistics: arithmetic mean, standard deviation, etc. Results. It was revealed that teacher’s majority of (80%) adequately assesses their scientific and methodological potential, are tolerant of innovations in didactics. Low average results of teachers (43.7%) are shown, indicating the presence of subject deficits in mathematics teachers in the field of applying mathematical knowledge in solving practice-oriented tasks. The average results of teachers' methodological deficits (62.3%) indicate the teacher's readiness for professional self-development, the ability to adapt and knowledge using of science’s modern problems in solving practice-oriented tasks with student’s motivation and self-organization effects. Conclusions. The subject and methodological competencies of a teacher should cover the content and ways of complex knowledge adapting (modern achievements in science) to school mathematics, the variability of forms and means of generalized constructs presenting, knowledge of mathematical and computer modeling methods, knowledge of samples and standards of popular applications of complex knowledge to real life, technologies and industries. Practice-oriented tasks arise in teaching mathematics at the same time as a component of student’s project and research activities.
Gamification as a method to build lexical speaking skills at a foreign language class in the mainstream school
Authors:   Bunin Yelets State University, Pozdniakova Marina N. , Karpacheva Irina A. ,   Bunin Yelets State University, Panarina Galina I. ,   Bunin Yelets State University, Zaitseva Nadezhda V. ,   Bunin Yelets State University, Medvedeva Daria D. ,   School Maryina Roscha, Moscow
Published: September 2022

Introduction. Knowledge of a foreign language is one of the most necessary conditions for a specialist of any profile to be in demand in the labour market. New teaching formats provide an opportunity to use gamification technologies that contribute to efficiency of learning and proper acquisition of mastered material. The purpose of the study is to assess the efficiency of gamification technologies embedded in the process of teaching a foreign language for successful mastery of the lexical material on the fifth year of the mainstream school. Methodology and methods. The experimental teaching was effectuated on the basis of a number of schools in Lipetsk and Moscow regions (Russian Federation). The initial and final diagnostics of the level of foreign-language communicative competence in all kinds of verbal activities (listening comprehension, speaking, reading, writing) was used. The method of mathematical statistics – Pearson’s chi-squared test – was applied. Results. The ascertaining stage results made it possible to view a statistically insignificant difference in the level of fifth-year pupils’ proficiency in English lexical speaking skills in the control and experimental groups. Didactic testing was used as a research method. The final testing results demonstrate that the experimental group learners showed a higher level in lexical skills, which is confirmed by the Pearson’s chi-squared test calculations. With the variance of system indicators equal to 3, the value of criterion χ2 = 8.212, the critical value of χ2 =7.815 (with the significance value of p<0.05). Consequently, the complex of didactic linguistic games developed and implemented in the educational process influences efficiently the development of lexical speaking skills of 5th-year school learners. Scientific novelty. It was revealed that gamification technology in the learning process would be efficient on the condition that it is of regular nature, covers all the learners, with the creation of appropriate psychological atmosphere and combination of games with the traditional didactic tasks. Practical significance. The parameters of the highlighted problems, the definition of the role and significance of gamification in the context of educational opportunities in mastering a foreign language will be interesting and may help in practical activities of a wide range of specialists: psychologists, educators, methodologists, organisers of supplementary education.
Optimization of the use of online learning resources for the development of students’ communicative competence
Authors:   Tula State University, Ivanova Viktoria I. , Devrisheva Alina E. ,   Tula State University
Published: September 2022

Introduction. The forced switching of universities to distance learning required a change in approaches, technologies and teaching methods. Learning a foreign language is impossible without the practice of oral communication: for the most part, it is in the process of it that the development of communicative competence takes place. We tried not only to bring the new-format learning closer to learning in the traditional format, but also, to a certain extent, to expand the educational potential for the formation of communicative competence through the maximum possible involvement of online learning resources and a well-designed methodological organization. The purpose of the article: to describe the pedagogical technology of the optimal use of online learning resources for the development of students' communicative competence, to evaluate its effectiveness. Materials and methods. The methodological basis of the study was a competence-based approach to teaching a foreign language. The work in the experimental group of students of Tula State University, studying in the section of Linguistics, was aimed at the optimal use of online learning resources for the development of students' communicative competence in its four components: language, speech, socio-cultural, motivational-reflexive. In the process of the study, methods of theoretical knowledge were used: analysis, synthesis, generalization, as well as methods of empirical knowledge: questioning, interviewing, the method of pedagogical observation, the method of expert evaluation, the method of mathematical data processing. Results of the study. At the end of the work carried out in the experimental group, an increase in the indicators of the formation of the components of communicative competence was recorded: in regard to the language component t-statistic = 8.3 (p < 0,001), the speech component t-statistic = 6.7 (p < 0,001), the socio-cultural component t-statistic = 5.4 (p < 0,001). Discussion and conclusion. The efficiency of the technology was proven through comparative diagnostics of the formation of the components of communicative competence among students before the start of the experimental work and at the end of it. In the distance format, there are opportunities for the effective implementation of the didactic principles of individualization, differentiation of learning. There are sources for increasing of students’ motivation to learn a foreign language, for activating their cognitive interest and developing skills of self-control, self-correction.
“Soft skills” development during foreign language education of bachelors in sports and fitness
Authors:   N.E. Zhukovsky and Y.A. Gagarin Air Force Academy, Volynkina Natalia V. , Kartashova Valentina N. ,   Bunin Yelets State University, Arkhangelskaya Natalya N. ,   Bunin Yelets State University
Published: September 2022

Introduction. The high demand for specialists in the area of physical education and sport with the teamwork skills, capable of addressing the problems effectively, communicative, resourceful, able to think creatively etc. and insufficiency of pedagogical conditions for physical training “soft skills” development in a higher school bring into focus the search for pedagogical possibilities including foreign language education potential. Justification and implementation of effective pedagogical conditions for physical training bachelors’ “soft skills” development when studying a foreign language within classroom and extracurricular work would resolve the problem. Materials and methods. The experiment on the testing of the pedagogical conditions was held in the Institute of Physical Training, Sport, Health and Safety in the Bunin Yelets State University in 2020–2021. For the research the students of the first and second years were chosen (n=68). The estimation of the students’ soft skills development level was carried out on the basis of theoretical analysis, synthesis, pedagogical observation and testing. The statistical significance of the results was approved with the χ2 Pearson test. Research results. The analysis of quantitative and qualitative data of the experiment showed a significant improvement of physical training bachelors’ ”soft skills” during foreign language studying through creating special pedagogical conditions (χ2 = 11,813> χ20,05). Discussion and conclusion. For the first time pedagogical conditions for physical training bachelors’ “soft skills” development during foreign language studying were justified and implemented on the basis of system and activity, subject-centered and context approaches. Pedagogical conditions imply the learners’ awareness of relevance of communicative, management skills, effective thinking and self-management; structural changes in a foreign language practical lesson, classroom and independent learners’ work. Under these conditions study guides can be developed; they can implement innovative pedagogical practices aimed at providing learners’ personal characteristics development as a predictor of a graduate’s professional success and competitiveness.