Reviewerly/exHarmony huggingface dataset:
Differences in Classroom Environment, Teaching Efficacy, and Teacher-Child Interaction according to Childcare Center Accreditation: Based on data from the Korean Children’s Panel 3 Years(2012-2014)

Objectives The purpose of this study was to investigate whether the Accreditation of childcare centers had an effect on the classroom environment, teaching efficacy, and teacher-child interaction. The 5th year (2012) ~ 7th year (2014) corresponds to the infancy of a child, and since daycare information is included only in this period, only the relevant data were analyzed. Methods This study analyzed the differences in classroom environment, teaching efficacy, and teacher-child interaction according to the Accreditation of childcare centers using data from the 5th year(2012) to 7th year(2014) of children participating in the Korean Children's Panel. Results As a result of this study, first, it was confirmed that in 2012, 2013, and 2014, there was a difference in the quality of the classroom environment depending on whether or not childcare center were accreditated. Second, when comparing the difference in teaching efficacy of childcare teachers, there was no significant difference depending on whether the childcare center was accreditated in 2012 and 2013, but there was a significant difference in 2014. Third, when comparing the difference in teacher-child interaction, there was no significant difference depending on whether the childcare center was accreditated in 2012 and 2013, but there was a significant difference in 2014. Conclusions Although this study confirmed the effect of Accreditation on the quality of childcare centers through longitudinal data analysis, follow-up studies are needed for the development of the evaluation system in the future since it is based on data that has already passed more than ten years.
Effects of Music Teaching Program for Early Childhood Pre-service Teachers

Objectives This study designed a music teaching program that can enhance the pre-kindergarten teachers’ personality characteristics and teaching efficacy in the music teaching class for pre-kindergarten teachers and examines the effects of the music teaching program through the results of applying the process. Methods To develop a music teaching program for pre-school teachers, starting with literature research, it is a composition that can be used in the teacher training process. It is designed as a 15 week educational program to be applied in the course. This program was conducted for 15 weeks for 120 students in the 3rd grade of early childhood education in Seoul and Gyeonggi area. The program was implemented mainly by instructors who have an understanding of the program and have experience in teaching and managing early childhood music education. Before and after the implementation of this program, the happiness and music teaching efficacy of pre-school teachers were measured. Results Through the music guidance program for prospective infant teachers, the post-test score was improved compared to the pre-test score of the happiness and musical teaching efficacy of the pre-infant teachers who participated. As a sub-factor of happiness, post-scores of internal happiness and self-regulated happiness were improved, and post-scores were improved in both sub-scores of general teaching efficacy and personal teaching efficacy, which are sub-scores of music teaching efficacy. The effect of this program could be confirmed as the score of happiness and music teaching efficacy increased. Conclusions This suggests that it is necessary to continue educational attempts to improve teacher competency and personality skills by combining music personality programs that can enhance the happiness and music teaching efficacy of prospective infant teachers in early childhood music guidance subjects.
Design and Implementation of the Interdisciplinary Class based on I4MAT model focusing on learners’ interaction

Objectives In the interdisciplinary education, the cooperative interaction between learners is important to derive a comprehensive understanding by synthesizing knowledge from a wide range of academic fields. In this study, an interdisciplinary class was designed based on the I4MAT model focusing on learners’ interaction proposed by Kim, Yoon &amp; Bang(2021), and implemented to explore the educational effects. Methods To this end, we first analyzed and reorganized the learning elements of elementary school science, social studies, and morals curriculum to select a interdisciplinary theme that became the center of class design. For the selected theme, learning activities and contents were designed by the categories of the model, and learners’ interaction activities, interaction competencies. Then the teaching strategies were specified. After applying teaching program to 83 elementary school pre-service teachers enrolled in an university of education located in a non-metropolitan area, the change in competencies was explored. Results The Interdisciplinary class was designed based on the I4MAT model focusing on learners’ interaction using two themes: plastic use and wildfire response. As the results of the implementation, the interaction competency and interdisciplinary thinking competency of pre-service teachers were significantly improved. Conclusions Based on the results, educational implications for the design and implementation of interdisciplinary education focused learners’ interaction were discussed.
Exploring the Current Status and Direction of the University's Competency-Based Curriculum Performance Management System

Objectives This study investigated the status of the competency-based curriculum introduced and operated as a plan to strengthen university competitiveness. Based on this, we tried to present implications for the direction of performance management of the university's competency-based curriculum. Methods First, the characteristics of university performance management, competency-based curriculum design features, competency-based curriculum performance management evaluation model, and evaluation index theoretical model were derived through literature and comparative studies. Second, the status of competency- based curriculum performance management at University A was investigated and analyzed. Third, based on the actual status of competency-based curriculum performance management at domestic and foreign universities, expert interviews were conducted to derive the direction for university competency-based curriculum performance management. Results First, based on the CIPP model, evaluation indicators were designed according to the areas of situation evaluation, input evaluation, process evaluation, and output evaluation. Second, it was found that more than half of the teachers at University A were generally satisfied with the competency-based curriculum quality management situation. As a result of the IPA analysis, the performance level was lower than the importance level in the previous stage of the CIPP model. Third, experts saw that it was necessary to collect opinions from school members in the situation evaluation, design a roadmap for the entire university curriculum, recruit capacity management personnel, and develop faculty's competency-based class design ability. Conclusions In order to increase teachers' interest in and implementation of competency-based curriculum in the future, it is necessary to provide support such as identifying teachers' needs, training teachers for new curriculum, and selecting and rewarding excellent classes.
Development and Application of Flipped Learning Module based on Learner Agency for Pre-service Teachers

Objectives In OECD 2030, learner identity is emphasized in the direction of future education, and as remote classes have recently spread, flipped learning-type pre-teacher modules that can be appropriately used in remote classes are required. In addition, a flip-learning type of pre-service teacher module that can be appropriately used for remote classes was required, and accordingly, this study aims to develop a learner-led-based flip-learning module for pre-service teachers. Methods Considering the blended learning-oriented school environment where both online and offline can be combined, the flip learning model is very useful, especially for pre-service teachers, it is necessary to experience it in the pre-teacher curriculum. Therefore, this study developed a learner-led flip learning module that can be used in school education, focusing on online publishing activities. In particular, it was first applied to classes for pre-service teachers who will engage in the field of education in the future. This is because learner-led education has not yet been activated in the field, and it is meaningful to apply it first to pre-service teachers as adult education. The learner-led flip learning module for pre-service teachers developed in this study was composed of a full-scale non-face-to-face four-week flip learning method. Results The developed module was pilot tested by applying it to D University classes in the first semester of 2021, and the module was modified and supplemented through the satisfaction of students and the validity and suitability verification process of 21 academic and field experts. Conclusions The learner-led flip learning module of this study can be applied not only to higher education but also to secondary school classes in the future, and is expected to be useful in school education in the situation where blended learning is expanded.
Research Indicators and Educational Horizons in &lt;Sangchungok(賞春曲)&gt;

This study started with a question about the background and factors, paying attention to the phenomenon that today's &lt;Sangchungok(賞春曲)&gt; education continues to shrink. Despite the high interest and many discussions in the field of Korean literature on &lt;Sangchungok(賞春曲)&gt;, the search for educational value has not been sufficiently carried out by focusing on substantive investigations such as the issue of authenticity of the author and the controversy over the first work of the Gasa(歌辭). A solution was sought in consciousness. To this end, by examining the actual situation in the textbooks of &lt;Sangchungok(賞春曲)&gt; diachronically, &lt;Sangchungok(賞春曲)&gt; secured a dominant position in the early textbooks, but it was confirmed that it was continuously withdrawn and excluded. This led to the conclusion that it was necessary to explore new educational values and qualities beyond the level of literary history. Then, through the research discourse of &lt;Sangchungok(賞春曲)&gt;, the research history focused on the origins of lyrics and the author's authenticity was critically reviewed, and the need for a new research methodology to lead the search for educational qualities was raised. The act-theory was born out of this necessity, and attempted a new approach and understanding of the controversy over the origin of lyrics and the authenticity of the author in the interrelationships of literature and society and literature and human subjects, respectively. In Chapter 4, it was proposed to expand the scope of education of &lt;Sangchungok (賞春曲)&gt; beyond the literary history. Education such as 'the essence of literature(literature and humanity, society)', 'reception and production of literature(literature and society)', and 'attitude toward literature(literature and humanity)' Indicators and horizons were designed, and specific educational contents were explored. This shift in perspective and approach was expected to bring about a change in research and education while arousing new interest in &lt;Sangchungok(賞春曲)&gt;.
CRVC-GAN: combining cross-scale fusion and recursion for video colorization adversarial generative networks

We proposed an innovative end-to-end generative adversarial network structure (CRVC-GAN) for video colorization, which is dedicated to solving the temporal consistency and coloring quality problems in the video coloring domain. For the temporal consistency problem, we utilize the network structure of recurrent neural network (RNN) because the model shape of RNN does not change with the input length and the calculation takes into account the history information to ensure the degree of correlation between successive frames. This better ensures the continuity between frames, so the consecutive frames get good temporal consistency in coloring. For the coloring quality problem, we utilize the UNet++ coding method to decode the video frames, integrating different levels of features to improve accuracy, and then enhance the object boundary information in the video frames, thus improving the coloring quality of grayscale video frames. In addition, we innovatively utilize the style transformation loss function in terms of images for model training to ensure temporal consistency and coloring quality by exploiting the slight difference in style variation from frame to frame. The experimental results show that, compared with the existing methods and through its own designed balance index, the colorization and temporary consistency balance index, CRVC-GAN obtained certain advantages on the DAVIS and Videvo public datasets with the results of 0.56176 and 0.74286, respectively, and achieved a better balance between time consistency and color quality.
Proposed Framework for Official Document Sharing and Verification in E-government Environment Based on Blockchain Technology

Progression in Computer networks and emerging of new technologies in this field helps to find out new protocols and frameworks that provides new computer network-based services. E-government services, a modernized version of conventional government, are created through the steady evolution of technology in addition to the growing need of societies for numerous services. Government services are deeply related to citizens’ daily lives; therefore, it is important to evolve with technological developments—it is necessary to move from the traditional methods of managing government work to cutting-edge technical approaches that improve the effectiveness of government systems for providing services to citizens. Blockchain technology is among the modern technologies highly suitable for developing digital governance services, and its technological ability to sustain information stability is vital in digital governance systems since it improves integrity and transparency measures while preventing corruption. In this study, computer networking protocols are built to form a peer-to-peer network framework for managing official documents. using blockchain technology was built to illustrate how any element of government work may be developed using it. The suggested framework comprises the addition of a new official document, and the verification of an existing document. The system was created in socket programming using Java and tested the response times for many simultaneous requests. The system was tested using transactions per second (throughput) measurement. The result showed that the proposed system processed 200 document verification transactions within 50 seconds. In addition, the test of the proposed system presented the time required for document retrieval—about three seconds to answer 100 document retrieval transactions. Furthermore, the results of throughput were compared to the results of the same measurement of some popular applications such as bitcoin. And the result of the proposed system was within the average value of output throughput of the other compared applications.
Implementation of the "TANDUR" Model with Script Card Media in Learning Local Content in Regional Languages (Javanese) in Elementary Schools

This research was motivated by the suboptimal use of innovative media for grade III students in elementary school. In addition to this, the learning strategies he uses have also not contributed to improving the quality of learning outcomes. Based on observations, results were obtained that the use of Javanese in students’ daily activities was very low. The language used by students is generally Indonesian, so students generally find it difficult to ask or answer questions given by the teacher using Javanese. In addition to this, in the school environment, Javanese is rarely used. In terms of using strategies, it is still monotonous and 80% still use conventional learning strategies. This is what underlies class action research, to improve the quality of Javanese language learning in elementary schools. This study generally aims to improve the quality of Javanese language learning by applying the innovative learning model “TANDUR” using Javanese script cards. The research method used is Participation Action Research (PAR) which adopts Kemmis &amp; Mc. Taggart model which is carried out in two cycles. Each cycle consists of one meeting. The data collection techniques used are observation sheets for the implementation of learning, tests, and field notes. The results showed a significant improvement in the process of using the “TANDUR” model and an increase in student learning outcomes which reached 81.5% in cycle I, and 92% in cycle II. Meanwhile, regarding the use of Javanese script cards 95% stated that they were very happy and easier to understand the learning material. Overall, it can be concluded that the application of the “TANDUR” model using the media of script cards in Javanese language learning can improve the quality of learning in grade III elementary school.
A Study on College English Writing Class Using Flipped Learning

The purpose of this study is to investigate the relationship between the learners’ academic achievement and English writing class using flipped learning, how students perceive different feedback activities on their English composition, and how students perceive the individual work, pair work, and group work. Participants consisted of 120 non-English major students enrolled in English Writing course at a university. They were assigned into groups: two control groups in teacher’s lecture-style classes and two experimental groups in flipped learning classes. A test of English composition was conducted before and after the treatment, and a questionnaire and an interview were carried out to explore the participants’ perception of different feedback activities and individual/pair/group work. The results showed that flipped learning in writing class did not have any significant effect on learners’ academic achievement. In addition, learners preferred to work individually and get feedback from a computer rather than peer feedback.
Sieving Polynomial via Parametrization for Factorization of Some Special Forms

In 1998 zhang developed a method which can factor integers of the form x3+...+a0 for a0 &lt;&lt; m. In 2022 Eric Landquist [1] generalised the method for numbers of the form n = m5 + a0. In this paper going in the lines of Eric, we propose some non trivial parametrizations and obtain a sieving polynomial for factoring of the numbers of the form n = m5 + a4m4 + a3m3 + a2m2 + a1m + a0 with ai &lt;&lt; m.
Supply Chain Demand Forecasting Based on WOA-ELM

In the whole supply chain management process, accurate control of supply chain demand is an important part.In order to study supply chain demand with predictability and credibility, an extreme learning machine model based on whale optimization algorithm is proposed.By analyzing the demand of a company for 14 months, the data relationship is constructed from seven influencing factors including cost, seasonal coefficient, sales intensity, market characteristics, number of shoppers, product structure and credit index.After the training of WOA-ELM model data, the average error result is 5.71%, which has a good error effect.It can provide a new idea for supply chain demand forecasting.
Vulnerability of Cryptocurrency Markets: A Study of the Relationship Between High-Impact Users and Bitcoin Market Price Volatility

While the blockchain cryptocurrency market is becoming increasingly sought after, the vulnerability of the crypto market has also been brought to the attention of some academics.Based on cryptocurrency price data in TradingView database, this paper studies the effect of high-impact users' comments on bitcoin price volatility in social media.The results show that when the Bitcoin market is in the listing channel, high-impact user speech does not bring significant abnormal returns.When Bitcoin market is in a downward channel, High-Impact community leaders' empty talk produces significant negative returns.
Cross-Border E-commerce Payment Encryption Algorithm Model Based on Digital Currency

Based on the analysis of the traditional cross-border e-commerce payment mode, this paper finds that the traditional cross-border e-commerce payment mode is characterized by high cost and long time.Therefore, this paper uses Ripple network and digital currency to optimize the traditional cross-border e-commerce payment mode, and applies the elliptic digital signature encryption algorithm to the digital currency-based cross-border e-commerce payment model, and then further optimizes the cross-border e-commerce payment model based on digital currency, and ensures the security of payment through the elliptic digital encryption algorithm.Finally, the secure and efficient cross-border e-commerce payment encryption algorithm model based on digital currency is proposed.
Preface: 3rd International Conference on Mechanical, Electronic, Control and Automation Engineering (MECAE 2022)

The organizing Committee of MECAE 2022 warmly welcomes you to join the 3rd International Conference on Mechanical, Electronic, Control and Automation Engineering (MECAE 2022), held in Qingdao, China during November 19-20, 2022.&#x0D; The aims of the conference are to provide an interactive platform for the academicians, R &amp; D organizations, industries, innovators, entrepreneurs, government agencies and policy-makers etc., from both China and abroad to exchange ideas on recent researches and advances in the domain of mechanical, electronic, control and automation Engineering with its prospective application in the various interdisciplinary domains of engineering. This three-day conference is being organized in technical association with Asian Union of Information Technology and will include invited keynote talks and oral paper presentations from both academia and industry to ignite our young minds, to initiate them in the field of meaningful research and thereby enrich their existing knowledge.&#x0D; MECAE 2022 has received 192 manuscripts. And 80 submissions have been accepted by our reviewers. Articles submitted to the conference should report original, previously unpublished research results, experimental or theoretical and must not be under consideration for publication elsewhere. We firmly believe that ethical conduct is the most essential virtual of any academic.&#x0D; Hopefully, all participants and other interested readers benefit scientifically from the proceedings and also find it stimulating in the process.&#x0D; Conference Organizing Committee.
Computational Measures of Linguistic Maturity in Writing

Previous research points to a number of quantitative measures of linguistic maturity, some applied to vocabulary (e.g., type-token ratios) or lexical morphology (e.g., Latinate affixes) and others to syntax, and all sufficiently superficial to be applied by a computer system. Some features that are linked to maturity are very general (e.g., use of subordinate clauses) while others are very specific (e.g., choice of particular prepositions). The chapter outlines some of the known measures, and argues that a computer system which can apply such measures quickly could be a valuable tool both for teaching writing and for assessing it.