Reviewerly/exHarmony huggingface dataset:
인성교육에 대한 중·고등학생과 중등학교 교사 및 지역사회 봉사자의 인식에 관한 연구

Background: Korea values personality education and is the only country in the world that values personality in school education, such as enacting the personality promotion law. Purpose: Although personality and character education are important, it is intended to compare and analyze the differences in perceptions that may arise from conflicts and misunderstandings caused by failure to overcome generational differences between students, teachers, and volunteers. Methodology/Approach: In order to compare the difference in perception of personality and character education, 565 middle and high school students living in Incheon, 167 secondary teachers, and 193 volunteers were analyzed through the SPSS v23.0 statistical program using a questionnaire. Findings/Conclusions: As a result of the analysis, it is assumed that the generation gap between students, teachers, and volunteers on personality factors and personality education cannot be overcome, but the perception of the necessity and importance of personality education is found to be together. Implications: T h rough this s tudy, e fforts sh ould b e made t o overcome t h e different p erceptions o f personality factors and personality education among students, teachers, and volunteers, and it is suggested that in order to have the qualities of a global leader in the 4th industry and artificial intelligence era, it will be an opportunity to shift from knowledge-oriented education.
놀이중심 교육과정을 기초한 유아 ‘효’교육 적용

Background: What is important in the Age of the Fourth Industrial Revolution and the Artificial Intelligence (AI) is to have the good character and personality necessary to live with others. Therefore, it is set in the background of cultivating good personality through filial piety education from infancy. Purpose: It presents data so that the ‘hyo’ education, which constructs the basis of human behavior, can be applied to the social relations area of the play-oriented Nuri curriculum in the infant's education. Methodology/Approach: Based on the play-oriented Nuri curriculum, which was revised in 2019, the focus was placed on the implementation idea of filial piety in infancy, an important basic period of personality education, so that guidance could be provided naturally in the early childhood curriculum. Findings/Conclusions: Data were presented to apply and guide the ‘hyo’ education onto the social relations area of the play-oriented Nuri curriculum currently implemented by early childhood education institutions. Implications: In the future, specific case-by-case studies are required to further develop the direction of the ‘hyo’ education suggested in this study to discover more detailed tasks in the play-oriented curriculum area and content category, and to develop flexible guidance plans in the field.
The Age of Extreme: The COVID-19 and Human Rights Crises

The COVID-19 pandemic caught the entire world off guard; presenting policy-makers with various thorny issues to address. This article probes the intersection of the COVID-19 pandemic and human rights. We argue that, on the one hand, there is a growing concern about excessive and disproportionate restrictions on human rights under the guise of ‘emergency powers’. On the other, the fact that rights are not taken seriously renders every effort to ward off the infectious disease faltering. Hence, we suggest that the COVID-19 pandemic should serve as a wake-up call for countries to step up their rights commitments. Despite the exceptional nature of the pandemic, human rights must remain at the heart of the States’ legal and policy choices.
The Effects of Synchronous Online Discussion on Improving Metacognition, Critical Thinking Disposition, Creative Ability, and Collective Intelligence of College Students

During the Covid-19 period, online classes have been strengthened, and the preference for synchronous online discussion is increasing in college classes. Therefore, the purpose of this study is to develop a case for synchronous online discussion and to ensure the effect of synchronous online discussion on metacognition, critical thinking disposition, creative ability, and collective intelligence. Participants who are involving in synchronous online discussion for 10 weeks are 224 students of major courses at K University. Students were asked to take a metacognition test, a critical thinking disposition test, a creative ability test, and a collective intelligence test prior to and after the experiment. The selected data were analyzed by the paired t-tests. As a result, there were significant differences after synchronous online discussion in all factors such as metacognition, critical thinking disposition, creative ability, and collective intelligence. The results of this study can be used as basic data to applying synchronous online discussion of College Students.
Analysis of Trend in Research Papers Related to Early Logical Thinking Education in Early Childhood Education

In this study, 52 research papers related to logical thinking education in early childhood education published in domestic academic journals from 1988 to December 2021 were studied on a 10-year basis, general research trends (by age, research area), research methods, and research results. Trends (by research type, by research subject, by data collection method, by data analysis method, by research result) were analyzed. Following the second round of data collection, preliminary research, this study, and data analysis were carried out in the order. Research Results First, research related to logical thinking education in early childhood education increased rapidly in the 3rd period (2000-2009), and critical thinking was relatively the most studied in the field. Second, experimental studies of quantitative research and studies targeting infants were also relatively frequent, and test methods and difference verification methods were used a lot for data collection and data analysis. And the research result was found to be focused on improving the logical thinking of early childhood teachers and preschool teachers. The significance of this study is that it comprehensively analyzed the current status and actual conditions of research related to logical thinking education in early childhood education and suggested a direction to diversify the research area.
Analysis of the random shuffling of message blocks as a low-cost integrity and security measure

Recently, a mechanism that randomly shuffles the data sent and allows securing the communication without the need to encrypt all the information has been proposed. This proposal is ideal for IoT systems with low computational capacity. In this work, we analyze the strength of this proposal from a brute-force attack approach to obtain the original message without knowledge of the applied disordering. It is demonstrated that for a set of 10x10 16-bit data, the processing time and the required memory are unfeasible with current technology. Therefore, it is safe.
Strategy diagram of active investigation (DIA) in the learning of investigation mediated by the Tic

The purpose of the research was to demonstrate the use of the active research diagram (DIA) strategy in the learning of research in higher education students using a flexible platform as a tool that accompanies academic training in the Blended Learning modality. The research approach was qualitative, phenomenological design, action research type. The sample consisted of 80 students who participated voluntarily, the categorical results were that through the use of the DIA strategy, it allowed the learning of research mediated by ICT. The results were that through virtual environments, multimedia resources, virtual communication tools, video conferences, learning guides, project work and academic portfolio, they allowed the production of new knowledge. The conclusion was that the use of the DIA strategy enhances the learning of research through Information and Communication Technology in higher education.
Application of technological tools Youtube and Zoom in the teaching-learning process of fifth grade students of the Basic General Education School "Gral. Manuel Serrano Renda" del Cantón El Guabo

In the context of the Covid-19 pandemic, the teaching-learning process moved to a virtual modality, experiencing changes in teacher-student interaction, for which it was necessary to use technological tools, such as YouTube and Zoom, the which became the most used due to their accessibility and diversity of collaborative functionalities. The objective of this work was to determine the application of the technological tools YouTube and Zoom, as interactive resources in the development of the teaching-learning process of a primary institution in Ecuador. For this, a case study is presented, where a quantitative methodology was applied, with a descriptive-correlational type of study, considering the total population of fifth grade students to whom a previously structured survey and interviews with teachers were applied. In this context, it is concluded based on the results that the use of YouTube and Zoom contribute significantly to the teaching-learning process, however, little knowledge is reflected in the teachers regarding the use of its functionalities, which compromises the adequate development of the apprenticeships.
Perceived satisfaction and determinants of e-learning success of Bolivian postgraduate users: An empirical study with Smart PLS SEM

The transformations that the Graduate Unit of the Faculty of Economic and Business Sciences of the University of San Francisco Xavier de Chuquisaca is assuming, among which the application of an e-learning system for the development of its graduate programs stands out. In this perspective, evaluating their quality constitutes a fundamental task, so the objective of this research was to establish the perception of satisfaction of the graduate users and the determinants of the success of the system and learning of the Graduate Facultative Unit. To achieve this objective, an investigation was carried out whose approach is of a quantitative type, using the method of the structural equation model with partial least squares (PLS SEM) and the application of the SMART PLS 3 software. An online questionnaire was applied to a sample, with a mean effect size for 8 predictors of 100 Bolivian students from the diploma, master's and doctorate programs in the area of business economics. The results obtained determine that the quality of the collaboration positively influences the use of the e-learning system of the Postgraduate Unit. On the other hand, the quality of the service and the interaction of the students with others determine the level of user satisfaction and this influences the level of use of e-learning, which determines the individual impacts of the users of the learning programs respective training. Therefore, the quality of the collaboration, the quality of the service and the interaction perceived by the students will be the success variables that will contribute to directly increase the use and the satisfaction perceived by the user and, therefore, the individual impact.
VITA 2.0 – Class evaluation system

The high dropout rate of students in public education often has causes linked to non-obvious issues. Very large classes or even a distance between the student and the teacher are the reasons that make a difficult solution for the teacher. In this context, a tool that helps the teacher's perception of these problems is extremely important. The objective of this work is to propose a system that helps in the perception of satisfaction or dissatisfaction of students in relation to classes. At the same time, it's proposed a tool that obtains better results compared to others already created with similar purposes, especially the VITA tool, developed for analyzing feelings using an affective lexicon dictionary. Entitled VITA 2.0, the tool presented in this work applies sentiment analysis in opinions written by the student regarding the class. VITA 2.0 sentiment analysis is performed using the text analysis API provided by Microsoft Azure.
Tourism and Virtual Reality: a bibliometric analysis of scientific production from the Scopus database

To identify the most developed terms in the field of Tourism and virtual reality, a quantitative analysis was developed in February 2020. This analysis was focused on seven hundred and eighty-four (784) publications from the Scopus database, published between 1995 and February 2022 and limited to the following areas: Business Management and Accounting, Computer Science, Social Sciences and Engineering.A bibliometric analysis was performed using the VOSviewer software and a technique of matching terms and co-authoring by authors and countries. Were found 5 clusters for the co-occurrence of terms and 7 clusters for the co-authorship of authors and countries.
An evaluation of data models, replication and cache in MongoDB: a case study with Enem in Brazil

In Brazil, grades from the National Secondary Education Examination - Enem are used for access to federal public universities. In addition to the grades, the microdata of this exam has a large amount of information about the students enrolled in the tests that can be used to carry out various analyzes of student performance. Due to the tens of gigabytes of data available, the data must be stored properly, to reduce the processing time for information retrieval. This work proposes a study to analyze whether different data models for storing Enem information in a document-based database can impact the response time of queries to this database. For this, data were stored using different strategies for data modeling, different replica sizes and cache usage. The experiments were performed on the MongoDB database and their response times were compared. The results showed relevant differences in response times.
Impact of quantum computing on current technologies

Quantum computing has become a highly discussed topic both in industry and academia, this technology is receiving a lot of attention and financial support from both governments and companies. What is sought is to build a quantum computer capable of being used in different practical applications, which would constitute a feat that would mark the beginning of a new era, the quantum era. Thanks to scientists and researchers we can get an idea of the improved impact of quantum computing on the technologies we use and the future
The Calculus of Vector Fields

Mathematics instruction is often more effective when presented in a physical context. Schramm uses this insight to help develop students' physical intuition as he guides them through the mathematical methods required to study upper-level physics. Based on the undergraduate Math Methods course he has taught for many years at Occidental College, the text encourages a symbiosis through which the physics illuminates the math, which in turn informs the physics. Appropriate for both classroom and self-study use, the text begins with a review of useful techniques to ensure students are comfortable with prerequisite material. It then moves on to cover vector fields, analytic functions, linear algebra, function spaces, and differential equations. Written in an informal and engaging style, it also includes short supplementary digressions ('By the Ways') as optional boxes showcasing directions in which the math or physics may be explored further. Extensive problems are included throughout, many taking advantage of Mathematica, to test and deepen comprehension.
Entr’acte: Tensors

Mathematics instruction is often more effective when presented in a physical context. Schramm uses this insight to help develop students' physical intuition as he guides them through the mathematical methods required to study upper-level physics. Based on the undergraduate Math Methods course he has taught for many years at Occidental College, the text encourages a symbiosis through which the physics illuminates the math, which in turn informs the physics. Appropriate for both classroom and self-study use, the text begins with a review of useful techniques to ensure students are comfortable with prerequisite material. It then moves on to cover vector fields, analytic functions, linear algebra, function spaces, and differential equations. Written in an informal and engaging style, it also includes short supplementary digressions ('By the Ways') as optional boxes showcasing directions in which the math or physics may be explored further. Extensive problems are included throughout, many taking advantage of Mathematica, to test and deepen comprehension.
Integrating Scalar and Vector Fields

Mathematics instruction is often more effective when presented in a physical context. Schramm uses this insight to help develop students' physical intuition as he guides them through the mathematical methods required to study upper-level physics. Based on the undergraduate Math Methods course he has taught for many years at Occidental College, the text encourages a symbiosis through which the physics illuminates the math, which in turn informs the physics. Appropriate for both classroom and self-study use, the text begins with a review of useful techniques to ensure students are comfortable with prerequisite material. It then moves on to cover vector fields, analytic functions, linear algebra, function spaces, and differential equations. Written in an informal and engaging style, it also includes short supplementary digressions ('By the Ways') as optional boxes showcasing directions in which the math or physics may be explored further. Extensive problems are included throughout, many taking advantage of Mathematica, to test and deepen comprehension.
Study of Clustering Time Series Forecasting Model for Provincial Grouping in Indonesia Based on Rice Price

Most indonesians consume rice as the main staple. The high low price of rice has an impact on farmers and communities, especially those who cannot afford it. Rice price forecasting is one of the important information to be considered for future rice prices. The data used is secondary data sourced from bps publication, Rural Consumer Price Statistics: Food Group, from January 2008 to December 2019 for 32 provinces in Indonesia. Time series modeling and forecasting is usually done on a single variable using ARIMA. however, modeling becomes inefficient if there are many variables, so clustering time series analysis is performed using correlation distance with the clustering method of average linkage hierarchy. Cluster level ARIMA modeling with 4 clusters provides high efficiency because only by doing 4 times modeling results in accuracy values not much different from individual level modeling. the results obtained by individual-level ARIMA Modeling resulted in an average MAPE of 3.36%, while cluster-level ARIMA modeling with 4 clusters resulted in an average MAPE value of 4.27%, with a second MAPE difference of -0.91%. Formally conducted z test, the results obtained there is no difference between individual-level MAPE and cluster-level MAPE. This means that cluster-level modeling is relatively good and representative.
Bayesian-Structural Equation Modeling on Learning Motivation of Undergraduate Students During Covid-19 Outbreak

The aim of this study is to explore the relationship model between e-learning readiness, self-directed learning readiness, and learning motivation of the students at STMIK Sumedang during the COVID-19 outbreak. Bayesian-Structural Equation Modeling and Markov Chain Monte Carlo Algorithm are used in the estimation of the parameters. The posterior distribution is formed using informative prior i.e., inverse-Gamma distribution on variance parameters, inverse-Wishart distribution on residual covariance, and normal distribution on other parameters of the model. The calculation is performed using the blavaan package on R-Software version 4.1.0 with 19000 iteration and 9000 samples of burn-in period. Data were taken from 214 samples of the students at STMIK Sumedang. The outcome from the calculation showed there is a significant effect from self-directed learning readiness to motivation learning of students and there is no significant effect from e-learning readiness to learning motivation. The direct effect on learning motivation is 7.25 from self-directed learning readiness and 0.045 from e-learning readiness.
Multi-Layer Self-Attention Residual Network for Code Search

To improve the efficiency of programming, software developers usually search existing code snippets in open source code repositories to modify and reuse them. Therefore, how to get the right code snippet from the open source code repository quickly and accurately is the focus of current software development research. Nowadays, code search is one of the solutions. Traditional information retrieval techniques have been gradually abandoned by researchers due to their low search efficiency and accuracy. In recent years, the code search methods based on machine learning alternatives have been widely used and researched due to the better search results. Various code search models have been proposed, especially the self-attention model, which has greatly improved the accuracy of code search. The self-attentive model for feature extraction mainly relies on the weights of each word in the code sequence unit, while ignoring the structural relationships among the code sequences, which contain rich feature information in these components. To compensate the shortage of self- attention mechanism, a multi-layer self- attention residual network based code search model (MSARN-CS) is proposed in this paper. In the MSARN-CS model, not only the weight of each word in the code sequence unit is considered, but also the effect of embedding between code sequence units is calculated. In addition, an optimization model of residuals is introduced to compensate for the loss of information in the code sequences during the model training. To verify the search effectiveness of the MSARN-CS model, three other baseline models are compared on the basis of extensive source code data. The experimental results show that the MSARN-CS model has better search results compared with the baseline model. Therefore, the MSARN-CS model proposed in the paper can effectively improve the accuracy of code search and enhance the programming efficiency of developers.
An Efficient Lateral Manoeuvre Planner for Automated Vehicles

In automated driving, lateral manoeuvre planning plays a crucial role as it is responsible for generating a feasible path for lane change or obstacle avoidance. Moreover, the lateral path should be generated without delay and be comfortable for the passengers. The work proposes an efficient planner module for lateral manoeuvres in automated driving, considering the objectives including computational efficiency and passenger comfort. The work proposes a novel method of generating a lower order parametric curve for the lateral movements in automated driving. Additionally, the work proposes a replanning trajectory which guides the vehicle back to the original lane if the lateral movement is blocked by the surrounding vehicle. The planner module is completed by including a computationally efficient velocity profile according to the manoeuvres performed. The generated path and velocity from the planner are tracked using a nonlinear model predictive controller due to its ability to handle nonlinearity in the prediction model, constraints, and cost function. Finally, the work proposes using a separate planner and controller module for a forced lane change scenario by considering separate objectives of lane changing and lane keeping. The simulation results show the proposed method’s computational efficiency and curvature compatibility to a higher order curve. The advantages of the proposed method to other similar curves in the literature include shorter path length and better control over the curve when the same comfort parameters are considered.