Reviewerly/exHarmony huggingface dataset:
Use Of The Leading Channel Of Information Perception In Training English

This article presents the adaptive-developing methodology of teaching foreign languages on the basis of using the leading channel of the perception of information.The methodology developed by us is based on the use of the leading channel of the perception (auditory, visual and kinaesthetic) of the information by students.To implement our methodology for teaching foreign languages, we propose to use the pedagogical algorithm developed on the basis of the knowledge acquisition scheme for teaching foreign languages.The article describes the stage of diagnosing the students' channels of perception and examines in detail each stage of learning the algorithm for implementing the methodology.The tasks are developed at all stages of training in accordance with the types of speech activity adopted in the teaching methodology.The problem of orientation of methodologies and methods of education to the personal characteristics of students is one of the most important in the psycho-pedagogical sciences, which causes a lot of controversies.The personal sphere is so individual and diverse that its study, diagnostics, and analysis make it possible to obtain new results in the development of teaching methods.The effectiveness of experimental training according to the adaptive-developing method was confirmed by the fact that the number of students with a high level of formation of foreign-language competence in the experimental group is 14.55% higher than that in in the control group.
La tarea docente integradora: Una necesidad para potenciar un aprendizaje desarrollador en la formación del licenciado en pedagogía-psicología

In the work some theoretical elements are exposed about the essential characteristics of the teaching task with an integrative character, a set of indicators is proposed for the evaluation of the students. The research is a realiable example of the experiences of university teachers in this field. Methods such as: historical-logical, inductive-deductive,analytical-synthetic andobservation were used. It is proposed as an objective: to systematize the theoretical references on the integrative teaching task, as a way that facilitates the work of the teacher aimed at the development of the cognitive capacity of the student achieving a developer learning.
The Effectiveness of Bananagrams Game for Honing Spelling Competence of Students Who Study English as a Second Language: An Action Research

A total of thirty two students (16 female and 16 male) of class nine C in Phuentsholing Higher Secondary School in Phuentsholing needed to improve their spelling competence as it was found through their weekly test that their major mistake was with spelling. Therefore, an action research titled ‘The Effectiveness of Bananagrams Game for Honing Spelling Competence of Students Who Study English as a Second Language’ was carried out to examine whether bananagrams game was effective in improving student’s spelling proficiency. Mixed method was used for the study. Pre and Post-test data were collected through students’ score in the spelling tests. The result revealed improvement in students’ spelling indicating the effectiveness of bananagrams game for enhancing students’ spelling skills. The action research recommends English teachers to use bananagrams game daily either before or after the lesson.
Hardware Implementation of a Cryptographic Coprocessor

The purpose of this project is to design the hardware of the cryptographic coprocessor by using Verilog Hardware Description Language (HDL). Cryptographic coprocessor has been widely used to offload the compute-intensive cryptography tasks from the main processor due to its performance and efficiency compared to the pure software solution. The proposed coprocessor comprises an input register, 16x16 register files, instruction decoder, control unit, arithmetic logic unit (ALU) and the hashing unit. The hashing unit is implemented using a non-linear look-up table (LUT). The instruction set architecture (ISA) consists of 12 instructions that execute independently from the main processor. The 16-bit hash circuit provides a faster way of implementing a hash function for any cryptographic algorithms as compared to software implementation. The design is simulated to verify the functionality of the proposed ISA using the ModelSim Intel Field Programmable Gate-Array (FPGA). Simulation results show that the proposed cryptographic coprocessor produces the correct outputs as in specifications.
Effectiveness Of Digitalization Of Art Disciplines In The Context Of Distant Education

The extreme conditions caused by COVID-19 pandemic forced higher education institutions in almost all countries of the world to switch to distance learning urgently.The first attempts of mass use of educational online technologies were made more than ten years ago, but due to objective reasons such as the lack of a proven methodology and problems with the technical and informational component, they did not achieve the required level of success.Large-scale systemic studies of digitalization of higher education were not carried out and some works were focused on technical areas of training.We have created a target group of students studying in artistic and creative areas of training, so that their profiles are sufficiently different from each other and the obtained data are objective and cover a larger number of specialized disciplines.The study involved undergraduate students of the Department of Design, Art Education and Technology of Yelets State University named after I. A. Bunin.These students studied using distance learning technologies in the spring semester of the 2019-2020 academic years.The total number of students included in the study group was 61 people.On the basis of the opinions of students expressed in the answers to the questions of the test questionnaire, the enlarged groups of the most effective teaching methods in artistic and creative disciplines, their features and problems of digitalization in the conditions of distance education were identified and the ways of their possible solution were outlined.
영화 활용 읽기 수업이 폴리텍대학 영어학습자들에게 미치는 영향

Although studies on English reading have been conducted among normal university students, but English in Korean Polytechnic college have been a marginalized group. Therefore, this study examines the reading ability as well as their emotional effects for English in Korean Polytechnic college. To this end, the reading ability evaluation test and the questionnaire on the affective factors were used separately and the data analysis was performed using Jamovi, a statistical program. The research results are as follows. First, the pre- and post-change of learners reading ability were statistically significant. Second, it was found to be effective for participants attitudes, confidence, interest, and motivation, and especially, a movie had a great influence on attitudes. Third, in the analysis of the affective domain based on the level of English learners, attitude and interest were statistically significant among groups. Finally, educational implications were suggested based on the research results.
Pendampingan Penggunaan Aplikasi Petadampot untuk Meningkatkan Pendidikan Keterampilan Hidup Siswa Sekolah Dasar

This service is aimed at Grade 4 students at SDN Jubelan 01, Sumowono District, Semarang Regency. The problems faced by partners are that students are not equipped with knowledge about life skills education, have not been empowered to grow vegetables and fruit in pots, and students' knowledge is only limited to planting plants in pots without paying attention to plant needs. The methods used are socialization, demonstration and practice as well as monitoring and evaluation. The results of this training activity participants have experienced an increase in PKH by an average of 92.17%, namely student knowledge about PKH 100%, knowledge about tabulampot 83.49%, student skills in planting tabulampot 93.76% and student knowledge about plant care 91.44%. Therefore, the results of this health literacy training activity can be said to be successful in the very good category. Petadampot media helps students in taking care of plants so that they can improve student survival education, especially in terms of food security. This activity is expected to be one of the school's flagship programs that can be a source of school income.
외국인 학부생의 자기조절학습 능력, 사회적 실재감, 교수 실재감이 온라인 수업 만족도에 미치는 영향 연구

Self-regulated learning ability, social presence, and teaching presence have been widely discussed as prerequisites for successful online classes. There has been, however, little research on foreign undergraduates’ self-regulated learning ability, social presence, and teaching presence, in Korean language education. This study, therefore, aims to examine online class satisfaction of foreign undergraduates and the effects of self-regulated learning ability, social presence, and teaching presence on online class satisfaction. To this end, it was conducted a survey on online class satisfaction of 128 foreign undergraduates. The findings showed that the mean value of all foreign undergraduates’ online class satisfaction was ‘moderate’ (3.16). Next, it was also analyzed the correlation between online class satisfaction and self-regulated learning ability, social presence, and teaching presence. The results of the analysis demonstrated that the self-regulated learning ability, social presence and teaching presence all have close correlations with online class satisfaction. A multiple regression analysis on the relation between the sub-domains of self-regulated learning ability, social presence and teaching presence and online class satisfaction was conducted. Finally, it was found that ‘individual/emotional factors’(No.1) of social presence, ‘class design and organization’(No.2) of teaching presence and ‘task factors’ (No.3) of self-regulated learning ability have direct effects on online class satisfaction. (Hanbat National University)
Using Actional Functional Model (AFM) To Improve Student's Speaking Skills

Based on initial observations in class X majoring in Mechanical, it appears that student's English speaking skills have not reached the expected level of mastery of learning. This condition is caused by the teaching strategy used by the teacher. The purpose of this study is to explain whether the Actional Functional Model (AFM) can improve the English speaking skills of class X students majoring in mechanical engineering at SMK Negeri 1 Batam. This research is a Classroom Action Research with two cycles carried out in class X of the Mechanical Engineering Department of SMK Negeri 1 Batam. At the end of each cycle, a speaking skill test was conducted. Quantitative data were collected through speaking skills tests, and qualitative data were taken from observations made by an observer. Then the data were analyzed based on quantitative and qualitative techniques. Based on the results of data analysis, it was found that (1) Actional Functional Model (AFM) can improve students' learning activities in speaking English, (2) AFM method can improve students' English speaking skills. Based on these findings, the Actional Functional Model (AFM) is recommended to be applied in teaching English. For further researchers, it is recommended to use similar research in other situations to see the effect of the Actional Functional Model (AFM) method and student learning outcomes.
Indicators of effective site management

The article deals with the problem of assessing the effect of managing a library web-site. The purpose of the article is to identify indicators of effective website management. It has been established that the result of website management can be expressed by several effects at once: social, technological, managerial, economic. The analytical basis for assessing indicators is the data of web analytical tools. The definition of the effectiveness of the library in the web environment, considered in the article, is given. A detailed list of actions is proposed to assess the possible effects of managing a library website using web analytics data
Statistical disclosure controls for machine learning models

Artificial Intelligence (AI) models are trained on large datasets. Where the training data is sensitive, the data holders need to consider risks posed by access to the training data and risks posed by the models that are released. The first problem can be considered solved: there are multiple tested solutions delivering secure access to sensitive data for research purposes. These include robust 'statistical disclosure control' (SDC) procedures for checking the confidentiality risk in outputs released from the secure environment. However, these SDC procedures are designed for statistical outputs. It is not clear how they relate to AI model specification created within the secure environment. Similarly, there is a small but growing literature on re-identification and other risks from AI models trained on personal data. However, this does not consider the operational circumstances which might limit opportunities for misuse. We bring these two fields together to consider • Is there any conceptual risk from releasing AI model specifications from a controlled environment? • If so, is there any practical risk? • If so, are there effective controls to minimise that practical risk without excessive cost or damage to the data/models? We show that there is certainly a theoretical risk, which also seems to have practical validity. There exist both statistical/technical controls to reduce risk, as well as operational controls which might be relevant for restricted environments. However, there remains a very large degree of uncertainty, including such fundamental questions as what exactly is 'disclosive' in ML models.
In-Network Convolution in Grid Shaped Sensor Networks

Gathering information is the primary purpose of a Sensor Network. The task is performed by spatially distributed nodes equipped with sensing, processing, and communication capabilities. However, data gathered from a sensor network must be processed, and often the collective computation capability of nodes forming the sensor network is neglected in favor of data processing on cloud systems. Nowadays, Edge Computing has emerged as a new paradigm aiming to migrate data processing close to data sources. In this contribution, we focus on the development of a sensor network designed to detect a person’s fall. We named this sensor network the smart floor. Fall detection is tackled with a Convolutional Neural Network, and we propose an approach for in-network processing of convolution layers on grid-shaped sensor networks. The proposed approach could lead to the development of a sensor network that detects falls by performing CNN inference processing on the edge. We complement our work with a simulation using the simulator ns-3. The simulation is designed to emulate the communication overhead of the proposed approach applied to a wired sensor network that resembles the smart floor. Simulation results provide evidence on the feasibility of the proposed concept applied to wired grid shaped sensor networks.
Autonomous Object Detection and Recognition Using a Machine Learning Based Smart System

Existing object recognition techniques frequently depend on human named information directing to serious impediments to plan a completely autonomous machine vision framework. In this work, we present a shrewd machine vision framework ready to adapt autonomously singular objects present in genuine climate. This framework depends on notable object identification. In its plan, we were roused by early preparing phases of human visual framework. In this setting we recommend a novel quick algorithm for outwardly notable object identification, powerful to certifiable enlightenment conditions. At that point we use it to separate notable objects which can be productively utilized for preparing the machine learning-based object discovery and recognition unit of the proposed framework. We give aftereffects of our striking object discovery algorithm on MSRA Salient Object Database benchmark contrasting its quality and other cutting edge draws near. The proposed framework has been executed on a humanoid robot, expanding its self-sufficiency in learning and communication with humans.
The game semantics of game theory

We use a reformulation of compositional game theory to reunite game theory with game semantics, by viewing an open game as the System and its choice of contexts as the Environment. Specifically, the system is jointly controlled by n≥0 noncooperative players, each independently optimising a real-valued payoff. The goal of the system is to play a Nash equilibrium, and the goal of the environment is to prevent it. The key to this is the realisation that lenses (from functional programming) form a dialectica category, which have an existing game-semantic interpretation. In the second half of this paper, we apply these ideas to build a compact closed category of 'computable open games' by replacing the underlying dialectica category with a wave-style geometry of interaction category, specifically the Int-construction applied to the cartesian monoidal category of directed-complete partial orders.
Research on the Training Mode of Professional Architectural Decoration Engineering Technology Professionals in Higher Vocational Education under the Background of Double Innovation and Information Technology

In 2015, the State Council put forward corresponding opinions on the reform of innovation and entrepreneurship education in colleges and universities. Colleges and universities need to deepen the reform of innovation and entrepreneurship education to promote the implementation of innovative development strategies in my country and promote economic benefits. Through this important measure, comprehensive reforms can be promoted in higher education and the quality of graduates’ entrepreneurship and employment can be improved. This has pointed out the direction for the development of vocational education in our country. Under the background of the new era, with the full implementation of innovation strategies in our country, higher vocational colleges need to use employment as the basis for the development of the information age. Orientation, take innovation ability and entrepreneurial quality as the goal, and carry out high-quality training for the skills of architectural decoration engineering technology professionals.
Can We Do Better than Gesturing? Requirements for a Digital Communication Aid to Support Non-Verbal Communication in Paediatric Emergency Care

Providing urgent and emergency care to migrant children is often hampered or delayed. Reasons for this are language barriers when children, and their care givers, don’t speak any of the languages commonly spoken in Switzerland, which include German, French, Italian, and English. By a participatory design process, we want to develop a novel image-based digital communication aid tailored to the needs of migrant patients and nurses within Swiss paediatric clinics.
A Bibliometric Analysis for Global Research Trends on SocialTagging over the Last Fifteen Years

The study identify the trends of research in social tagging based on Scopus database from the year 2004- 2018.The study found that most of the contributing authors are from China and most of the articles appeared are found to be the contributions of multiple authors.
Designing the Model of Organizational Transparency in Government Organizations

In this study seeks to provide the model of organizational transparency in government organizations. The present study is conducted within the framework of a qualitative approach and using the method of thematic analysis and thematic network. Potential participants were university faculty members and experts. In this study, interviews were conducted with 8 administrative and academic specialists using targeted sampling method and snowball based on saturation of opinion. In the quantitative part of the research, to evaluate the model extracted from the qualitative part using a descriptive survey method, the model was evaluated using a questionnaire based on the Likert scale. The statistical population is the managers of government organizations in Arak. The model of organizational transparency was presented in the form of 2 comprehensive themes, 11 organizing themes and 52 basic themes. In the model evaluation stage, the results obtained from one-sample t-test showed that the mean of the five indices is higher than the average of the population (3) and the t-test with a significant level lower than 0.05 is significant (p.value = 0.0001). Therefore, the findings showed that the organizational transparency model has comprehensiveness, simplicity and ease, accuracy, applicability and the necessary innovation. According to the research findings, it can be concluded that these findings can be used as a model of organizational transparency in the direction administrative system integrity.
Improved Method of Garbage Classification Based on Deep Learning

Garbage classification is an important part of resource recycling and utilization, which can improve the utilization rate of resource recycling and reduce environmental pollution. Due to the wide variety of MSW and the lack of a unified standard for specific classification, most people will have difficulty in choosing MSW in practical operation. Traditional image classification methods have been difficult to meet the requirements. We can build an accurate classification model based on deep learning technology and use technical means to improve the living environment. In this paper, deep learning algorithm is used to identify and classify garbage, which can not only improve the efficiency of garbage classification, but also improve the accuracy of garbage classification. Mainly studies the garbage classification model based on CNN, methods of using the migration study selected suitable for network model of garbage classification in this paper, and then use the model integration methods such as increase the generalization ability of the model, finally using distillation technology will big model learned knowledge transferred to small in the model, the loss of lesser accuracy at the same time, improve efficiency and prediction accuracy of model prediction, To quickly and accurately identify the garbage type effect.
Análisis de los principales recursos tecnológicos utilizados en la intervención del lenguaje y la comunicación en TEA

As a consequence of the continuous progress of society, it is essential that education professionals adapt their methodologies in order to respond to the needs of students. We agree with Fernandez (2003) that all these changes have led to a transformation in the education model characterized, in general terms, by the change of the teacher's role, becoming a mediator and facilitator of learning, the promotion of autonomy or the use of new technologies as an indispensable tool. Taking into account the current context, this study includes the study of 30 technological resources that can be used in the intervention in language and communication in people with ASD (Autism Spectrum Disorder). To carry out the analysis, the scheme suggested by Marques (1999) has been followed, taking into account technical and aesthetic, functional and pedagogical aspects. After obtaining the results, a series of conclusions has been reached. In the technical and aesthetic field, resources stand out for the high quality of their visual environments, as well as the multimedia elements they have. In relation to the functional aspects, the applications have an easy accessibility and use being compatible, in large part, with computers, portable devices or both. Deepening in the pedagogical area, it is noteworthy that many aspects of communication and language are worked on in which people with ASD present difficulties, with contents that sometimes are of quality, although in others the result is not as optimal. The vast majority are motivating and allow a flexibility of learning can adapt many of the characteristics of the content and the resource itself to the needs of each person.