Reviewerly/exHarmony huggingface dataset:
A Study on Types of Latent Transition of Youth’s Career Development Competencies and Related Variables: Focused on Busan Education Longitudinal Study

Objectives This study classified youths living in Busan into different latent groups depending on career development competencies and performed an analysis to identify what factors can be used to predict related patterns including a pattern of transition between latent groups.&#x0D; Methods In this study, we used the first wave (2016, first grade middle school students) and fifth wave (2020, second grade high school students) of data from Busan Education Longitudinal Study (BELS). The subjects are 1,915 youths, who responded to all of the 16 questionnaire items concerning career development competencies. We performed latent transition analysis to identify the latent profile types and transition between classes across two-time points. Subsequently, multinomial logistic analysis was applied to explore variables that can be used to predict a transition pattern.&#x0D; Results First, the first grade middle school students and second grade high school students were classified into two groups: active and passive career planning groups. Second, the patterns of profile transition between the two points in time were classified into two types: maintenance and change types. Generally, latent groups of career development competencies in middle school transitioned into similar latent groups. The probability of maintenance was higher in an active career planning group than in other types. Of the subjects, 29.4% showed negative change, while 36.4% showed positive change. Third, the analysis of factors affecting career development competencies of middle schoolers found that the first grade middle school students were more likely to belong to the active career planning group if they had visited an upper school, attended a school admission briefing session or collected information from media and online communities. For the second grade high school students, a consultation with the homeroom teacher was not a statistically significant variable. They were more likely to belong to the active career planning group if they had a consultation with the career teacher at school.&#x0D; Conclusions The variables having a significant effect on latent groups were different between middle and high schoolers, and there were no variables affecting the transition between the two points in time. What is emphasized in career experience needs to be different in each grade.&#x0D;
A Study on Daegu and Kyungpook Primary and Secondary School Teachers’ Perception and their Education Needs of Convergence Classes

Objectives The purposes of this study were to investigate the education needs of convergence competences needed in implementing the convergence lessons in the primary and the secondary school classroom by analyzing the importance of individual components in a convergence competence model and the level of the competences the teachers have.&#x0D; Methods To achieve the study goal, using a Snowball sampling, primary and second school teachers in Daegu and Kyungpook were requested to respond to 30 questions through Google Forms. A total of 236 responses were analyzed using a descriptive data and an independent samples t-test, and education needs were calculated with a Borich’s formula to produce the degree of education needs.&#x0D; Results First, to implement the convergence classes in their classroom, the primary and the secondary school teachers in Daegu and Kyungpook perceived the class design and management competence to be the most important, and the willlingness and attitude competence, the collaboration and communication competence, and the ICT use competence were important in that order. Second, the teachers evaluated themselves as having the best class design and management competence and the willingness and attitude competence in applying convergence classes in their classroom, while their ICT use competence and the collaboration and communication competence were evaluated relatively low, compared to the other two competences.&#x0D; Conclusions Based on the results of the education needs analysis, the most necessary component in the teacher training program was to develop the class design and management competence and their collaboration and communication competence. Among the sub-components of these competences, the demand for administrative and financial support through communication with school administrators was the greatest, and it meant that there is a high need for training school administrators as well as school teachers to apply the convergence classes in schools. Finally, the findings of the study contributed to providing a guideline to the teacher education programs for the successful implementation of the convergence classes in their classroom.&#x0D;
The Influence of Interpersonal Stress on Job Satisfaction and Turnover Intention for Kindergarten Teachers

Objectives This study aims to examine the Influence of interpersonal stress on job satisfaction and turnover intention for kindergarten teachers. To achieve the research aim, this study set the following research questions.&#x0D; Methods The subjects were 230 kindergarten teachers working in public and private kindergarten in Seoul and Gyeonggi Province, and a survey was conducted. The collected data were analyzed using SPSS24.0 program, t disposition, one-way ANOVA, Scheffe test, Pearson multiple regression analysis.&#x0D; Results First, there were significant differences in interpersonal stress, job satisfaction, and turnover intention according to the general background of kindergaten teachers. Second, looking at the correlation between interpersonal stress, job satisfaction, and turnover intention of kindergaten teachers, there was a negative correlation between interpersonal stress and job satisfaction, and a positive correlation between interpersonal stress and turnover intention. There was a negative correlation between job satisfaction and turnover intention. Third, it was found that the interpersonal stress of kindergaten teachers had a negative effect on job satisfaction and a positive effect on turnover intention.&#x0D; Conclusions Interpersonal stress of kindergaten teachers affects job satisfaction and turnover intention of kindergaten teachers. Considering that interpersonal stress that occurs in the relationship with the principal has a major influence, this study investigated the interpersonal stress of kindergaten teachers. This suggests that continuous education for the director is necessary so that the kindergaten teacher can perform duties at the kindergaten education institution with confidence and stability by showing the desired leadership.&#x0D;
Professor’s experience reflecting the 2019 revised Nuri course in the Early Childhood Education Major Curriculum Class

Objectives This study is a narrative inquiry about experience of professors reflecting the 2019 revised Nuri course in the Early Childhood Education Major Curriculum Class.&#x0D; Methods For this study, one professor from the Department of Early Childhood Education at D University was targeted. Data were collected through in-depth interviews from July 15, 2020 to January 26, 2021. The collected data were analyzed inductively through the process of segmenting, discovery of initial coding, and in-depth coding generation through an open coding methodology.&#x0D; Results As a result of the study, the difficulties in reflecting the revised Nuri course in the pre-service teacher education are the instructor's lack of experience in the direction of the revised Nuri course, the learner without leading play experience, and the lack of communication in non-face-to-face classes. In spite of these difficulties, the instructor reflected 1) keeping up with the acceptance level of the 2019 revised Nuri course in the field, 2) approaching it as a play case, 3) playing and experiencing the role of a teacher who supports play in the pre-service teacher education. In the reuslts of these studies, Professor K found that 1) presenting an early childhood teacher modeling that the professor supports to play, 2) playing in various group types, 3) playing with various media at the same time, 4) combining activities and play, 5) it is necessary to have an opportunity to experience the meaning of play.&#x0D; Conclusions This study suggests that the responsibilities of pre-service teacher educators and various efforts should be followed in the 2019 revised Nuri course.&#x0D;
DATABASE DESIGN FOR PRIVATE HIGH SCHOOL ACADEMIC INFORMATION SYSTEM

This study aims to design a database for a private high school academic information system. This type of research is action research. The development of Information Technology, can support the creation of good management in high school. Information technology is useful so that management in the organization can run and work well. At this time, private high schools do not yet have a database that is able to provide information on student and teacher services, where the database is needed for the academic information system. Therefore, it is necessary to design a database for private high school academic information systems so that the table design is as follows: Student Tables, Teacher Tables, Room Tables, Schedule Tables, Class Tables, Subject Tables, Grades Tables, and Admin Tables and also designed Also the Teacher Login menu, Student Login, Administrator Login, and Student value input menu, Teacher data input menu, Student data input menu, teaching schedule menu, and news management menu. The results of this database design are very useful for private high schools.
Exploration of educational support measures for poor readers based on the mechanism of effect of reading to dogs

Objectives The purposes of this study were to understand the mechanism of effect of reading to dogs, and to suggest applications of reading to dogs for poor readers.&#x0D; Methods To accomplish this purpose, eleven studies were analyzed which examined the effect of reading to dogs and factors were induced which related to significant effects. Then the mechanism of effect of reading to dogs was identified to help poor readers improve their reading abilities.&#x0D; Results According to the mechanism, reading to dogs leads to promote reading motivation among poor readers by facilitating situational interest. And then improvement of reading abilities is achieved by applying interventions which enables to develop situational interest to personal interest in reading. Finally educational support measures were suggested based on the finding of the current study.&#x0D; Conclusions The application of reading to dogs based on its hypothetical effective mechanism could be an alternative for domestic poor readers. And future researches are discussed.&#x0D;
new opinion mining method based on M-cuckoo with M-cat and SVM with NB classification algorithm

A different point of view can help you make better decisions. People exchange useful knowledge with others thanks to the advent of social media via the Internet. This knowledge is utilised to coordinate, explore, and analyse for better decision making. Opinion Mining is a task in Natural Language Processing that involves defining and extracting information in order to analyse a person's attitude. The basic goal of opinion mining is to determine the polarity of a review at the phrase level, and whether the transmitted opinion is favourable or negative. Metaheuristic algorithms are currently widely utilised in data mining, engineering designs, image processing, and machine learning optimization. These algorithms are typically simple and adaptable, straightforward to implement, and practical. Some fields remain undeveloped.
The Importance of Data Presentation

Conference Education Session Report SpeakersBarry Drees, PhD, Senior Partner, Trilogy Writing &amp; Consulting GmbH, Frankfurt, Germany
주요 국가의 유아교사 자격기준 및 대학의 유아교사교육과정 비교연구: 미국, 영국, 캐나다, 호주를 중심으로

Objectives The major purpose for this study is to explore the national criteria for early childhood teachers’ eligibility in USA, England, Canada, and Australia along with comparing and analyzing the existing curriculum of Columbia University, Harvard University, University of Illinois at Chicago, Cambridge University, University of Toronto, Australian college of teachers’ aides and children.&#x0D; Methods The study thoroughly analyzed the curriculum based on core course, method course and elective courses, duration of teaching practicum, type of course, way of course conduction: online or offline, inclusion of courses on special child and option of bilingual extension.&#x0D; Results National criteria for early childhood teachers’ eligibility in these countries are found to be distinctive. The curriculums of the selected universities also differ from one another in terms of duration, degree type and courses.&#x0D; Conclusions The study provides implications for early childhood educators training in Korea providing recommendation for instructors and practitioners on choosing courses for generating a well fitted curriculum for better teachers training.&#x0D;
Collaborative Learning for Large-Scale Discrete Optimal Transport under Incomplete Populational Information

Optimal transport (OT) is a framework that allows for optimal allocation of limited resources in a network consisting of sources and targets. The standard OT paradigm does not extend over a large population of different types. In this paper, we establish a new OT framework with a large and heterogeneous population of target nodes. The heterogeneity of targets is described by a type distribution function. We consider two instances in which the distribution is known and unknown to the sources, i.e., transport designer. For the former case, we propose a fully distributed algorithm to obtain the solution. For the latter case in which the targets’ type distribution is not available to the sources, we develop a collaborative learning algorithm to compute the OT scheme efficiently. We evaluate the performance of the proposed learning algorithm using a case study.
Decision-based Sampling for Node Context Representation

Learning low dimensional representations requires an expressive technique capable of capturing the different features for nodes, the relationship between nodes in the network and thus their similarities. However, many existing embedding techniques focus only on capturing the structural patterns in the network by randomly sampling the nodes in the neighborhood of the target node. To deal with this issue, we propose DSNCR, a node representation framework which uses the non-linear node attributes as well as their neighbourhood structural information to capture nodes similarities. This approach computes a semi-supervised regression analysis on the node attributes to guide a flexible probability walk procedure, such that different neighbourhoods are explored to capture rich network attributes and structures in a learned embedding. We verify the effectiveness of our model on link prediction and node classification tasks using real-life benchmark datasets, for which our technique performs better than existing embedding methods.
Evaluation of the Effectiveness of Augmented Reality Enhanced Aviation Weather Training

The objective of this work was to evaluate whether augmented reality (AR) can be used to improve how general aviation (GA) student pilots learn about weather and correspondingly make weather-related decisions during flight operations. Literature about the weather in general aviation, augmented reality, and scenario-based activities were used to inform the design and development of an interactive print training module. The interactive print learning module integrated print-based learning with AR-based learning, specifically AR learning activities with visualizations of thunderstorms and flight scenarios. A user evaluation compared the learning experiences and outcomes between 1) an interactive print module and 2) a text-and-picture-based print module. The preliminary results of the evaluation suggest that both modules were effective and that students who used the interactive print module had marginally higher increases in measures of factual knowledge. In addition, results trended towards higher motivation in the interactive print condition. All the participants preferred to have the 3D AR learning content because they believed it helped them visualize and comprehend the weather. Providing AR content to students to meet their preferences for learning content may enhance training.
Voter Identification Intelligence System (VIIS)

These days decision within the world's voting system is based mostly on physical attractiveness. Electronic Voting Machines (EVMs) are becoming increasingly popular in India. are utilized, but there are so numerous discussions being seen as of now in India. So, having just voted in these judgments, we offer new framework called the Framework for VIIS. We provide the finest option for people to modify in order to vote anonymously within the system. booth by addressing all worries about differentiating evidence of citizenship. The proposed work might be a mash-up of retina distinguishing evidence, the skull, and everything else conceivable biometrics parameters to form the signature code that supplies subordinate distinguishing evidence of Aadhar ID number or other distinguishing proof records The Voter Recognizable Proof Insights Framework (VIIS) employing (AI and Blockchain Innovation) will ensure that the present voting process is carried out in a proper, exact, and extremely safe manner.
Reflections on Discipline Construction in General Local Undergraduate Colleges

Discipline construction is an extremely important basic project in higher education. Due to its own strength and other reasons, there are some problems and contradictions in the discipline construction of general local undergraduate institutions. This paper attempts to explore its countermeasures and measures, and try to find a development path suitable for the discipline construction of Local Undergraduate institutions, so as to promote the healthy development of discipline construction.
Analyzing the Corruption and Conflicts-of-interest of Public Officials for Preventing Disaster

The purpose of this paper is to examine the characteristics of anti-corruption education and training in order to prevent corruption of public officials as a cause of disasters, and to suggest ways to strengthen the capabilities of public officials to avoid conflicts of interest. As a result of the analysis, the laws and regulations for ethics and integrity duties and public financial management of public officials are increasing, while the duties of the state and the duties of public officials who perform them are also increasing. However, standards for the integrity and morality of public officials are scattered in individual laws.&#x0D; The measures to prevent corruption of public officials and manage conflicts of interest are as follows. First, policy support is needed to activate the conflict-of-interest avoidance system proposed by the current law. Second, it is necessary to integrate such complex and scattered anti-corruption laws and systems. Third, it is necessary to strictly detect and punish corruption and to come up with realistic measures to improve the treatment of public officials.
Mixed Reality Wind Tunnel Visualizations

Broadly, mixed reality technology combines physical experiences with virtual ones. In the context of aerospace engineering, this can be paralleled by the combination of experiments with simulation results. Recent technological developments in the field of mixed reality visualizations provide the capability to integrate virtual objects into a variety of scenarios using head mounted displays. Additionally, modern fluid simulation capabilities provide the potential to prepare detailed visualizations, to the point that the full results cannot be completely observed with traditional 2-dimensional media. In this paper, a specific application of mixed reality technology using an Oculus Quest 2 and the game engine Unity is applied to display computational fluid dynamics results generated by Star-CCM+ in conjunction with a low-speed wind tunnel experiment.
Online teaching and learning in higher education during COVID‐19: International perspectives and experiences Edited by Roy, Y. Chan, Krishna, Bista, and M., Allen, Routledge, 2022. GBP £120.00. 227 pp. ISBN: 978‐0‐367‐64715‐5 (hbk)

International Journal of Applied LinguisticsEarly View BOOK REVIEW Online teaching and learning in higher education during COVID-19: International perspectives and experiences Edited by Y. Chan Roy, Krishna Bista, and M. Allen, Routledge, 2022. GBP £120.00. 227 pp. ISBN: 978-0-367-64715-5 (hbk) Dr Juan Jia PhD, Corresponding Author Dr Juan Jia PhD Lecturer jiajuanzucc@gmail.com School of Foreign Languages, Zhejiang University City College, Zhejiang, China Correspondence Juan Jia, School of Foreign Languages, Zhejiang University City College, Zhejiang, China. Email: jiajuanzucc@gmail.comSearch for more papers by this author Dr Juan Jia PhD, Corresponding Author Dr Juan Jia PhD Lecturer jiajuanzucc@gmail.com School of Foreign Languages, Zhejiang University City College, Zhejiang, China Correspondence Juan Jia, School of Foreign Languages, Zhejiang University City College, Zhejiang, China. Email: jiajuanzucc@gmail.comSearch for more papers by this author First published: 20 June 2022 https://doi.org/10.1111/ijal.12423Read the full textAboutPDF ToolsRequest permissionExport citationAdd to favoritesTrack citation ShareShare Give accessShare full text accessShare full-text accessPlease review our Terms and Conditions of Use and check box below to share full-text version of article.I have read and accept the Wiley Online Library Terms and Conditions of UseShareable LinkUse the link below to share a full-text version of this article with your friends and colleagues. Learn more.Copy URL Share a linkShare onFacebookTwitterLinked InRedditWechat Early ViewOnline Version of Record before inclusion in an issue RelatedInformation
Improvement of signal-to-noise ratio of schlieren visualization images in low-density wind tunnel tests using mode-selection based signal processing

The objective of this study is to develop digital signal processing methods that reduce noise caused by atmospheric fluctuation and image sensors and extract signal of fluid phenomena from data obtained by the highly sensitive schlieren measurement in the low-density wind tunnel. Time-series schlieren images of the flow around a triangular airfoil were used for analysis, and the effectiveness of noise reduction methods based on the randomized singular value decomposition (RSVD). In the proposed method, noise and signal of fluid phenomena were separated by frequency components using fast Fourier transform (FFT) and inverse FFT in advance, and the flow was visualized at Re = 3000 and M = 0.15, where the signal-to-noise ratio was particularly low.