Reviewerly/exHarmony huggingface dataset:
Pedagogical Awareness And Interpretation Of Ideas Of Social And Humanitarian Systemology

The article presents the experience of determining the directions of development of a specific pedagogical theory as a result of engagement and interpretation of the theories of a higher level.Purpose: determination of possible directions of development of the educational systems theory based on pedagogical comprehension and interpretation of the social and humanitarian systemology ideas.Methodology of the research contains systemic, system-activity, sociocultural, communicative, personal and interpretative approaches.Employed methods: analysis, synthesis, interpretation, specification, analogy.The findings adduce a set of basic ideas of the theory, preservation of which allows maintaining its originality as well as two promising development directions of this theory.The first direction is related to the special development of the integrity problem of educational systems through the intensification of integration processes.The quantitative and qualitative increase of the integrative properties and qualities must be considered an indicator of the transition of educational system to integrity.Wherein, integrity can be regarded in statics, in the process of functioning and development.Consequently, integration processes are also counted.The second direction involves a special study of system-forming factors of educational systems.The four level system-forming factors are: result (first level), processes (second level), states (third level), activity and communication (fourth level).
Noise-robust classification with hypergraph neural network

&lt;p&gt;This paper presents a novel version of hypergraph neural network method. This method is utilized to solve the noisy label learning problem. First, we apply the PCA dimensional reduction technique to the feature matrices of the image datasets in order to reduce the “noise” and the redundant features in the feature matrices of the image datasets and to reduce the runtime constructing the hypergraph of the hypergraph neural network method. Then, the classic graph based semisupervised learning method, the classic hypergraph based semi-supervised learning method, the graph neural network, the hypergraph neural network, and our proposed hypergraph neural network are employed to solve the noisy label learning problem. The accuracies of these five methods are evaluated and compared. Experimental results show that the hypergraph neural network methods achieve the best performance when the noise level increases. Moreover, the hypergraph neural network methods are at least as good as the graph neural network.&lt;/p&gt;
Understanding Pure Character-Based Neural Machine Translation: The Case of Translating Finnish into English

Recent work has shown that deeper character-based neural machine translation (NMT) models can outperform subword-based models.However, it is still unclear what makes deeper character-based models successful.In this paper, we conduct an investigation into pure character-based models in the case of translating Finnish into English, including exploring the ability to learn word senses and morphological inflections and the attention mechanism.We demonstrate that word-level information is distributed over the entire character sequence rather than over a single character, and characters at different positions play different roles in learning linguistic knowledge.In addition, character-based models need more layers to encode word senses which explains why only deeper models outperform subword-based models.The attention distribution pattern shows that separators attract a lot of attention and we explore a sparse word-level attention to enforce character hidden states to capture the full word-level information.Experimental results show that the word-level attention with a single head results in 1.2 BLEU points drop.
THE USE OF DIDACTIC RATTLES IN THE MODERN SYSTEM OF CONTINUING EDUCATION

The article defines the possibilities of determination and visualization of the use of didactic rattles in the system of continuous education, specifying the possibility of adaptive-akmepedagogical inclusion of a personality in the system of productive solution of development tasks, definition of models of formation and self-realization, socialization and self-affirmation in the hierarchy of defined and achieved results. The peculiarities of consideration of the term "didactic rattles" in the traditional (broad, narrow, local senses) and innovative (adaptive, age-appropriate, unified, personalized, health-conscious, akmepedagogical senses) perspectives of determinacy of the ideas of modern pedagogy and psychology of development, pedagogical methodology and pedagogical activity are specified. The typology and peculiarities of the quality analysis of didactic rattles in the model of development taking into account the age of students are proposed. The technologies and pedagogical conditions for improving the quality of personal development in the system of continuous education using didactic rattles are singled out.
Analysis of the Use of Online Teaching Tools in Specific Circumstances

E-learning can be viewed from a technical and pedagogical aspect, so the application of e-learning in teaching requires ICT knowledge and skills and pedagogical competencies for the use of ICT in teaching. Work on the topic: "Analysis of the use of online teaching tools in specific circumstances" consists of two parts. The first part of the paper, which uses a scientific method of content analysis, presents types of online teaching tools in specific circumstances and explanations of online teaching tools in specific circumstances. Also, the advantages and disadvantages of the online learning tools (as well as the advantages and disadvantages of the LMS, i.e. learning management system) are described. The second part of the paper presents the research results obtained by the scientific method of interviewing. Based on the surveys, answers (results) were obtained to the nine questions asked. Hypotheses were set in the paper: Ht1 and Ha1 and Ht2 and Ha2. Based on the results obtained by interviewing the respondents (analysis of answers), the paper confirmed the basic hypotheses (Ht1 and Ht2), while the alternative hypotheses (Ha1 and Ha2) have been rejected.
A Study on the Blending Mode of Translation MOOC and English Classroom Teaching

With the popularization and application of Internet in the field of education, English classroom teaching should also conform to the trend of the times and strengthen the application of modern information technology. In this regard, this paper explores the integration mode of translation MOOC and English classroom teaching, in order to fully meet the needs of contemporary students’ personalized development and promote their all-round development.
E-Learning And Cognitive Development

High requirements for the level of professional preparedness, willingness and competence to solve professional problems among university graduates, and the conflict of mondialization and globalization trends with the trends of separation and growth of national consciousness are reflected in transforming the information space, a constant increase in the degree of social informatization and, at the same time, the growing demand for developing digital culture -a culture of human interaction with digital devices and programs.These transformations determine the vector of developing modern education and the educational process management system.The evolution of the education system in Russia, Kazakhstan and other countries is due to the implementation of ICTs in all spheres.This is reflected in the continuous development of the electronic information and educational environment, which gradually seems to squeeze out traditional educational technologies from the educational process.Against the backdrop of the "progress" of digital education, the role of the university and school teacher, parents, etcis becoming clearer.The electronic information and educational environment are a combination of electronic educational resources, ICT tools and automated systems to provide students with learn educational programs.
A novel image encryption scheme based on DCT transform and DNA sequence

Recently, the concept of DNA has been invested in computing technology in different ways which linking information technology and biological sciences. There are several encryption algorithms based on DNA encoding that has been proposed, which leads to generating a new direction in image encryption. However, the DNA encryption scheme has drawbacks such as expensive experimental equipment, difficult operations, and hard to hold its biotechnology. Additionally, during careful cryptanalysis that applied to most of these image encryption schemes, we notice that DNA operators can only influence one DNA base, which causes poor diffusion. Our proposed scheme is not applied complex biological operation but just is given to improve the diffusion ability of image encryption scheme by using DNA sequence and DCT transform. Our works overcome above-aforementioned issues. Furthermore, empirical results on real images and security analysis demonstrate that our proposed scheme not only has flexibility and efficiency encryption scheme but also has the ability to resist well-known attacks such as entropy attack, differential attack, statistical attack, chosen/known plain image attack. Additionally, our work enjoys several strong characteristics as follows: (1) the decryption error is very low to recover the original image; (2) Once key for each encryption process and if the user wants to use the same key in many times, our proposed scheme supports secret key sensitivity; (3) the value of correlation of the encrypted image is null; (4) the scrambling process is good and generate high disorder at the output. As a result, our proposed scheme achieves a good balance between strong security and high performance.
A MATHEMATICAL STUDY OF RAIN DROP SOUND

In this work we first download the recorded sound of drizzling rain and convert them to digits using Octave. Then we analyze this time series formed to interpret the rain data. We find that his data is nonlinear and yet have the similarity of being a linear data. We perform both linear and nonlinear time series analysis here in our work using the computational tool TISEAN. We present our results in this paper.
The Reality of Using E-learning Strategies to Improving the Learning of Mathematics for Undergraduate Students

This research aims to know the reality of using e-learning strategy in improving the learning of mathematics in university education, and to know the moral differences between the variables, the researcher used the descriptive and analytical method with the questionnaire tool consisting of (30) paragraphs distributed in the fields of education, learning and evaluation, addressed to a random sample of (110) students and the Mathematics teaching staff of (34) members of Prince Sattam bin Abd Al-Aziz University in Wadi Al-Dawasir at tow Colleges (Arts, Sciences and Engineering) for the first semester of the academic year 2021.After collecting and analyzing data statistically, the researcher came up with the following findings: The most important ones are: the existence of good efficiency in using e-learning strategies in teaching Mathematics , learning and evaluation process, especially in the focus of education, the presence of obstacles in the way of the use of e-learning strategies in learning the university student, especially weak internet, and the absence of statistically significant differences in the efficiency of using strategies of e-learning in learning Mathematics for gender , and for the cumulative academic rate, there is an urgent need for training faculty members and students to improve the use of e-learning strategies in teaching and learning Mathematics, especially when it comes to developing.The research came up with a set of recommendations the most important of which is increasing community awareness to calling for: action to spread the culture of using e-learning in teaching in universities, addressing the obstacles facing the use of e-learning strategies, draw attention to training students and members of Mathematics teaching staff on what is new in the field of educational technologies.
The manifestation of creativity of younger school students

The article presents a question about the technology of critical thinking in primary school children. Forms of work on the formation of this technology are proposed. To achieve a new quality education that corresponds to important aspects of modern society - this is the main goal of reforming and improving the educational system.
Pengelolaan Data Terintegrasi Berdasarkan Instrumen Akreditasi Perguruan Tinggi 3.0 Menggunakan Zachman Framework

Higher education in Indonesia is regulated by the government with the Higher Education Accreditation (APT). In APT 3.0, Higher Education is required to be able to present performance data in the form of a Higher Education Performance Report (LKPT) as a reference in making a Self-Evaluation Report (LED). However, it is necessary to have an in-depth analysis to determine the gaps in the data required by Higher Education according to the APT 3.0 standard. The process of integrating the samples refer to the Zachman Framework (ZF). The results of this simplification that the data is available in support of APT 3.0 approximately 79% of the total data both inside and outside the core business of Higher Education and is well managed in an integrated database. The remaining 21% of the data that are not available is spread across several information systems, especially SIMMawa, SIMHumas and Cooperation, and SIMAKU. This shows that the change in accreditation standards that have been in effect since April 2019 has created a significant data gap for Higher Education. This research also produced an alternative model of integrated data management that can be used as input for Information System developers in the Higher Education scope.
Developing Concatenative Based Text to Speech Synthesizer for Tigrigna Language

A Text-To-Speech (TTS) synthesizer is a computer-based system able to read any text and convert it into speech that resembles as closely as possible a native speaker of the language.This thesis describes the first Text-to-Speech (TTS) system for the Tigrigna language, using speech synthesis architecture in MATLAB.The TTS system is working based on concatenative synthesis and applying LPC technique.The performance of the system is measured and the quality of synthesized speech is assessed in terms of intelligibility and naturalness.The result of the synthesizer is evaluated in two ways, in word level and sentences level.The test results indicate in the word level is evaluated by NeoSpeech tool online and most of the words are recognizable.The overall performance of the system in the word level which is evaluated by NeoSpeech tool is found to be 78%.When it comes to the intelligibility and naturalness of the synthesized speech in the sentence level, it is measured in MOS scale and the overall intelligibility and naturalness of the system is found to be 3.28 and 3.27 respectively.The values of performance, intelligibility and naturalness are encouraging and show that diphone speech units are good candidates to develop fully functional speech synthesizer.But there are areas that can be improved.Inclusion of text analyzer to pronounce zonal dialects of the language and prosody generator are some of the things that need further investigation.
ANALYSIS OF THE INFLUENCE OF PANDEMIC COVID 19, FAMILY SUPPORT, AND STUDY MOTIVATION TOWARDS INTERESTS IN EDUCATION (STUDY IN INDONESIAN TOURISM ECONOMIC HIGH SCHOOLS)

This study aims to determine the effect of the Covid 19 pandemic, family support, and learning motivation on interest in entering higher education. The population used is prospective new students from the two study programs of the Indonesian School of Tourism Economics (STIEPARI) Semarang. Determination of the number of samples in this study using purposive sampling technique and obtained a sample of 75 respondents. The data analysis method used is multiple linear regression analysis. The results showed that the Covid-19 pandemic had a negative effect on interest in going to college, family support and learning motivation had a positive and significant effect on interest in entering higher education at the Indonesian Tourism Economics College (STIEPARI). Keywords: Covid-19 Pandemic, Learning Support, Learning Motivation, Interest to Enter Higher Education . Abstrak Penelitian ini bertujuan untuk mengetahui pengaruh p andemi C ovid 19, d ukungan keluarga dan m otivasi b elajar terhadap m inat m asuk perguruan tinggi. Populasi yang digunakan yaitu calon mahasiswa baru dari dua program studi S ekolah Tinggi Ilmu Ekonomi Pariwisata Indonesia (STIEPARI) Semarang. Penentuan jumlah sampel dalam penelitian ini menggunakan teknik purposive sampling dan diperoleh sampel sebanyak 75 responden. Metode analisis data yang digunakan yaitu analisis regresi linier berganda. Hasil penelitian menunjukan bahwa pandemi covid - 19 berpengaruh negatif terhadap minat masuk ke perguruan tinggi, dukungan keluarga dan motivasi belajar berpengaruh positif dan signifikan terhadap minat masuk perguruan tinggi di Sekolah Tinggi Ilmu Ekonomi Pariwisata Indonesia (STIEPARI) . Kata kunci: P andemi C ovid - 19, D ukungan Belajar , M otivasi B elajar , Minat Masuk Perguruan Tinggi.
Supporting Human Memory by Reconstructing Personal Episodic Narratives from Digital Traces

Numerous applications capture in digital form aspects of people’s lives. The resulting data, which we call Personal Digital Traces - PDTs, can be used to help reconstruct people’s episodic memories and connect to their past personal events. This may have several applications, from helping the recall of patients with neurodegenerative diseases to gathering clues from multiple sources to identify recent contacts and places visited – a critical new application for the recent health crisis. This paper takes steps towards integrating, connecting and summarizing the heterogeneous collection of data into episodic narratives using scripts – prototypical plans for everyday activities. Specifically, we propose a matching algorithm that groups PDTs from many different sources into script instances (episodes), and we provide a technique for ranking the likelihood of candidate episodes. We report on the results of a study based on the personal data of real users, which gives evidence that our episode reconstruction 1) integrates well PDTs from different sources into coherent episodes, and 2) augments users’ memory of their past actions.
The Development of Spell Checker Android Application to Improve Students’ Pronunciation of English Education Department, IAIN Jember

Pronunciation and vocabulary are important elements of language so a communication will be difficult if the speaker cannot pronounce the elements or words accurately. However, in learning in class, limited time causes lecturers to have difficulty checking the pronunciation of English students one by one. So that technology is needed to improve students’ pronunciation competence independently and measurably. This study aims to develop a spell checker application that is integrated with the lecture module. This application aims to improve the English pronunciation ability of students independently and measurably so as to save time. The research method is a design and development method with 6 stages. The product validation results showed that this application is feasible to use with the acquisition of a feasibility percentage of 89%.
Catching Attention with Automatic Pull Quote Selection

To advance understanding on how to engage readers, we advocate the novel task of automatic pull quote selection.Pull quotes are a component of articles specifically designed to catch the attention of readers with spans of text selected from the article and given more salient presentation.This task differs from related tasks such as summarization and clickbait identification by several aspects.We establish a spectrum of baseline approaches to the task, ranging from handcrafted features to a neural mixture-of-experts to cross-task models.By examining the contributions of individual features and embedding dimensions from these models, we uncover unexpected properties of pull quotes to help answer the important question of what engages readers.Human evaluation also supports the uniqueness of this task and the suitability of our selection models.The benefits of exploring this problem further are clear: pull quotes increase enjoyment and readability, shape reader perceptions, and facilitate learning.
RANKING METHOD USING NEW TRIANGULAR COMBINED OVERLAP NEUTROSOPHIC COGNITIVE MAPS (TRCOBNCMS)

Adv. Math. Sci. J. Vol. 9, No. 12 Open Access RANKING METHOD USING NEW TRIANGULAR COMBINED OVERLAP NEUTROSOPHIC COGNITIVE MAPS (TRCOBNCMS) A. Rajkumar, N. Lakshmipathy, and A. Praveen Prakash DOI: https://doi.org/10.37418/amsj.9.12.96 Full Text Abstract Abstract In this paper, a new Triangular Combined Overlap Neutrosophic Cognitive Maps is used to find the ranking for … page AMSJ9-N12-96 Read More »
A Need Analysis of Blended Learning Model for Deaf Students in Higher Education

Student diversity is one of the demographic advantages of education. One type of diversity is the registration in higher education students with special needs. For this purpose, teachers as educators are expected to be able to provide all students with adaptive teaching. Although the number of students with special needs is still a minority, educators still need to provide full education for them. Appropriate teaching can be achieved with the use of information technology, in particular the Internet. The use of the Internet as a support for classroom activities can be realized in a blended learning model. However, for each model to be used, an analysis study needs to be performed in order to have optimum results. The purpose of this study is to recognize needs and to obtain information on a blended learning model for deaf students in higher education. Needs analysis is carried out by means of a survey approach using a questionnaire provided to deaf students. The data were analyzed descriptively. The results have shown that deaf students meet the criteria for the development of a mixed learning model. Based on the study, it was concluded that the blended learning model can be applied to deaf students.
Students’ Demotivating Factors in English Language Learning at One State Madrasah Tsanawiyah in Palembang, South Sumatera, Indonesia

This research investigated students' demotivating factors in English language learning at MTsN 1 Palembang. The research was in the form of case study research design. The participants were the second-grade students at MTsN 1 Palembang. Based on their English achievement, there were 11 students being demotivated in learning English. The data were gained by using document review and face-to-face interviews. The data from document review and interview were analyzed by using thematic analysis. The findings showed that there were five demotivating factors in English language learning: (a) inadequate school facilities, (b) lack of teachers' competence and teaching styles, (c) learning content and materials, (d) classroom condition and classmates' attitudes, and (e) lack of self-confidence.&#x0D; &#x0D; Keywords: demotivation, demotivating factors, English language learning