Reviewerly/exHarmony huggingface dataset:
A Study on the Evaluation Method of Personality Education Using Machine Learning

Atypical text data generated during the character education process contains a lot of information.Moreover, the big data accumulated therein can be used as material for better understanding human beings.In this study, we proposed a quantitative evaluation method using artificial intelligence, in addition to two axes of a self-reported test, which is used mainly in personality evaluations, and observational evaluations made by teachers or experts.This study attempted to quantitatively express the positiveness of students, with the thinking that personality is not related to positive virtues.Since the student uses the reflection notes, essays, and testimonials generated during the character education process, there is no need for separate evaluation tools or time and space resources.In addition, automation that makes use of machine learning enables easy extraction of changes over time, regardless of the number of employees.Therefore, it is possible to compare personality values between groups and to compare numbers within groups, which can be used as data for screening individuals or groups requiring consultation or in-depth investigation.This study can be used as a sort of dictionary for in-depth interviews by finding out singularities through the quantification of individual changes over time.In other words, it is possible to know the change of the learner's positive and negative attitude over time, which in turn can be used as data in order to examine in detail data pertaining to the date when the negative index is high.As an example of another method of use, it is possible to compare personality values between groups, or to compare individual figures within groups, and to use them as data for screening individuals or groups requiring consultation or in-depth investigation.At the beginning of the study, we started with the assumption that people can be viewed as possessing both positive and negative aspects.However, if an algorithm is developed that understands humans more deeply, we can evaluate various virtues of humanity in much greater detail.
교정시설 소년수용자의 자아존중감 향상을 위한 집단상담 프로그램의 효과성에 대한 연구

The purpose of the study is to figure out the effect of the specialized consultation program for youth inmates who are housed in A correctional facilities. While various consultation and educational programs have been implemented in correctional facilities, specialized programs for youth inmates have not commonly practiced. This is because attentions for youth inmates were relatively low compared to adult inmates. In addition, research on the effectiveness of the programs has not been a common topic for youth inmates. This article is to present the proper example to practice effective consultation programs that are helpful to enhance self-esteem for youth inmates. This article compares the difference of level of self-esteem before and after the participation of the specialized group consultation program. The results of this group consultation program show that the general level of self-esteem of inmates youths who participate in this program is improved, which is statistically significant. Specifically, the level of self-expression, self-recognition, and relationship with family and others are improved and these improvements are statistically significant as well. In addition, most inmate youths present a high level of satisfaction. Lastly, it is presented the limitation of this study and the implications for the future study.
Social perceptions about kindergarten teachers in newspaper articles

본 연구는 신문에 나타난 유치원교사 관련 빅데이터를 활용하여 현재 우리 사회가 인식하고 있는 유치원교사에 대한 다각적인 시각을 확인하고자 한다. 이를 위해 신문을 통해 2016년 한 해 동안 유치원교사 관련 내용 997건을 Textom 프로그램을 이용하여 수집하였다. 수집된 데이터는 키워드 분석과 관계 분석을 통해 키워드 특징 및 키워드 형성 구조를 파악하고 그 내용을 분석하였다. 연구결과, 첫째, 신문에 자주 나타나는 유치원교사와 관련 단어 빈도분석 결과, 교육, 유치원, 교사가 높은 빈도로 언급되었다. 둘째, 유치원교사에 대한 인식 출현 경로 분석 결과, ‘누리-과정’키워드 간 높은 연쇄성을 보였다. 그리고 CONCOR분석 결과, 4개의 군집이 형성되었으며 유치원교사 관련 환경요인에 대한 군집이 많이 나타났다. 셋째, 유치원교사에 대한 사회적 인식 내용 분석 결과, 사회경제적 특성, 업무적 특성, 윤리적 특성의 내용 순으로 구성되어 있음이 밝혀졌다.The purpose of this study is to identify the various perspectives of kindergarten teachers that our society is currently aware of using the big data related to kindergarten teachers in the newspaper. For this purpose, in the year of 2016, 997 cases related to kindergarten teachers were collected through the Textom program. The collected data were analyzed by keyword analysis and relationship analysis. The results of this study are as follows: First, as a result of frequency analysis of word related to kindergarten teachers are newspapers, education, kindergarten, and teachers showed high frequency. Second, as a result of the recognition pathway for the kindergarten teachers, the results showed that there was a high degree of crosstalk between Nuri - process keywords. Also, as a result of CONCOR analysis, four clusters were formed and there were many clusters of environmental factors related to kindergarten teachers. Third, it was found out that the contents of socio-economic characteristics, job characteristics, and ethical characteristics were composed in order of contents of social perception, contents of kindergarten teachers.
MDPs with Unawareness in Robotics

We formalize decision-making problems in robotics and automated control using continuous MDPs and actions that take place over continuous time intervals. We then approximate the continuous MDP using finer and finer discretizations. Doing this results in a family of systems, each of which has an extremely large action space, although only a few actions are interesting. We can view the decision maker as being unaware of which actions are interesting. We can model this using MDPUs, MDPs with unawareness, where the action space is much smaller. As we show, MDPUs can be used as a general framework for learning tasks in robotic problems. We prove results on the difficulty of learning a near-optimal policy in an an MDPU for a continuous task. We apply these ideas to the problem of having a humanoid robot learn on its own how to walk.
LibGuides: Virtual Library for CSHL Employees: For Faculty

The CSHL Library and Archives is fully operational despite working remotely during COVID19 Remote Library Services for Faculty
LibGuides: City View Library Programming Blog: Storytime Information

A guide to everything the City View Children's Area is planning for 2021! Created by Erin Redihan for INFO 260A Spring 2020
Adapting End-to-End Speech Recognition for Readable Subtitles

Automatic speech recognition (ASR) systems are primarily evaluated on transcription accuracy. However, in some use cases such as subtitling, verbatim transcription would reduce output readability given limited screen size and reading time. Therefore, this work focuses on ASR with output compression, a task challenging for supervised approaches due to the scarcity of training data. We first investigate a cascaded system, where an unsupervised compression model is used to post-edit the transcribed speech. We then compare several methods of end-to-end speech recognition under output length constraints. The experiments show that with limited data far less than needed for training a model from scratch, we can adapt a Transformer-based ASR model to incorporate both transcription and compression capabilities. Furthermore, the best performance in terms of WER and ROUGE scores is achieved by explicitly modeling the length constraints within the end-to-end ASR system.
영아반 초임보육교사의 전문성지원 교사교육프로그램이 전문성 및 자아존중감과 교수효능감에 미치는 효과

Objective: This study tried to find out if a teacher education program that supports professionalism for beginning child care teachers in toddler classes is effective in professionalism, self-respect, and efficacy in teaching. Methods: The study subjects were 40 beginning child care teachers in toddler classes teaching in day care centers in Seoul, Incheon, and Gwangmyeong Gyeonggi-do. They were divided into an experimental group (20 teachers) and a comparative group (20 teachers). The collected data were applied to the SPSS 22.0 program. To find homogeneity of the two groups, a t-test was conducted. To analyze an intergroup difference, ANCOVA was conducted in the way of setting a pre-test score as a covariate. Results: The experimental group which participated in the program showed more positive effects than the comparative group in terms of professionalism, self-respect, and efficacy in teaching. Conclusion/Implications: Based on the results of this study, the program is expected to be meaningful in the field of early childhood education, and to lay the foundation for beginning child care teachers in toddler classes to become experts in their field.
Analyzing Effort and Cost Estimation Mechanism For Quality Software

For best Quality Software, it is essential to have best Effort and Cost Estimation Model. For this purpose, four Effort Techniques, COCOMO, Fuzzy neural Network, MOPSO, and SVR are considered in this research work. This work provides the comparative analysis of performance of these four Estimation techniques in case of ORGANIC, Semidetached and Embedded projects. The simulation results of this research work indicate that MOPSO technique performs better than COCOMO, Fuzzy neural Network and SVR. The accuracy of this estimation technique is 58% which is highest accuracy rate. In addition to this, it provides comparative analysis among Basic Cost Estimation Model, GA based Cost Estimation Model and PSO based Cost Estimation Model to find and highlight the best Cost Estimation Model. The Results shows that PSO based Cost Estimation Model provide better results as compare to traditional cost estimation model and GA based Cost Estimation Model.
Topic Extraction and Classification Method Based on Comment Sets

In recent years, emotional text classification is one of the essential research contents in the field of natural language processing. It has been widely used in the sentiment analysis of commodities like hotels, and other commentary corpus. This paper proposes an improved W-LDA (weighted latent Dirichlet allocation) topic model to improve the shortcomings of traditional LDA topic models. In the process of the topic of word sampling and its word distribution expectation calculation of the Gibbs of the W-LDA topic model. An average weighted value is adopted to avoid topic-related words from being submerged by high-frequency words, to improve the distinction of the topic. It further integrates the highest classification of the algorithm of support vector machine based on the extracted high-quality document-topic distribution and topic-word vectors. Finally, an efficient integration method is constructed for the analysis and extraction of emotional words, topic distribution calculations, and sentiment classification. Through tests on real teaching evaluation data and test set of public comment set, the results show that the method proposed in the paper has distinct advantages compared with other two typical algorithms in terms of subject differentiation, classification precision, and F1-measure.
Lexicon that Survives, Changes, and Innovates in Sanur Area: Ecotourism Linguistics

Eco-linguistic research has been conducted quite often in recent years, though on the lexicon in one particular area.The purpose of this study is to examine the lexicon treasures in Sanur tourism area.This location is selected since the area is at the risk of being affected negatively by the development of tourism in Bali due to globalization.The development of information technology and the progress in tourism might change the behavior and social attitudes of the society, as well as the biological environment of an area.This study examines the impacts of the development of tourism in Sanur tourism area by examining the ecotourism linguistics.Also, it analyzes the lexicon that survive and become extinct and innovative in Sanur tourism area.The data used is in the form of written and spoken information.They were collected through observation and interview, supported by recording techniques.The results show that many lexicons are found in relation to the biological environment in Sanur area.Although most of them survive today, some have been affected negatively, becoming rare and extinct.
Two First-Order Theories of Ordinals

This paper compares a first-order theory of ordinals proposed by the author to the theory published 1965 by Gaisi Takeuti. A clarification of the relative deductive strength of the two theories is obtained.
DESIGN OF INDONESIAN NAVY PERSONAL EQUIPMENT MONITORING SYSTEM BASED ON ANDROID MODEL

Kaporlap is individual equipment that is attached to the body of a soldier, including all accessories, ranging from headgear, body cover to leg cover. These individual equipment were distributed so that each soldier could carry out basic tasks or routine daily tasks and the additional tasks provided could run well. Design and Development of the Navy-based College of Technology Kaporlap Monitoring System (STTAL) Android-based is an information system designed to make it easier for Kaur warehouse to make a report to the Kadeprenalog to find out stock information available at Renalog warehouse when it will distribute Kaporlap to Personnel and Students. Data collection methods used in the preparation of this final project are field studies and literature. After being identified, the authors designed the Kaporlap inventory system with systems development models such as context diagrams, Data Flow Diagrams (DFD), Entity Relationship Diagrams (ERD) through to Input and Output designs, then proceed with the making of its web program and after that it can uploaded to the android system. After the whole system process is complete, it can be seen that the inventory system can produce information for official needs accurately and quickly.Keywords : Kaporlap Inventory System, Web Data, Android Applications.
LibGuides: Digital Pedagogy Fellows Guide: Home

A guide for the Digital Pedagogy Fellows at Catawba College with resources to enable fellows to redesign their courses using digital and open educational resources
Organizational and Pedagogical Conditions for Teaching Native Languages That Have the Status of State Languages of the Republics in Basic General Education

One of the necessary conditions for the successful functioning of a balanced system of language education is a quality study of Russian and native languages. The study of the mother tongue in high school is based on the education of a person who knows and respects his mother tongue, the formation of language competence, which includes the necessary elements of knowledge about the language system. The formation and increase of motivation to learn the native language of students is carried out with the targeted creation of organizational and pedagogical conditions and their effective management.&#x0D; The article discusses the issue of creating organizational and pedagogical conditions for teaching native languages that have the status of the state languages of the republics. The main organizational and pedagogical conditions that are of paramount importance for the formation of balanced bilingualism in children in organizations of basic general education, conducting educational activities in their native languages: motivational, organizational, personnel, material and technical, control and evaluation are identified. The results of a study of the current state of functioning of native languages in the republics of Altai, Komi, Sakha (Yakutia), Tatarstan, Tyva are presented. The concepts of «organizational and pedagogical conditions» and its components are clarified. Based on the results obtained, methodological recommendations have been developed for creating the organizational and pedagogical conditions for teaching mother tongues in educational institutions where two state languages are taught.
Implementation Of The Optimizer Of SOA System Deployment Architecture

Optimization of business processes in SOA systems has been done using three separate types of methods: Resource Allocation, Service Scheduling and Service Composition. All three may influence each other, so the new method has been proposed to find an optimal combination of those three. It is based on a genetic algorithm that uses a simulator of the SOA system to evaluate solutions. The article describes a model for the optimization criteria for such solutions. Subsequently, some basic concepts used to implement the simulator and optimizer have been presented. Finally, the performance results of the optimizer have been described, including the conclusions on how they might be improved.
중국어 A1등급 교재 어휘 분석 ― 『国际汉语教学通用大纲』과 비교하여

This paper examined the frequency and vocabulary repetition frequency of vocabulary in three kinds of Third grade textbooks on the market.Class Third grade textbooks are students whose target audience is Third grade. The vocabulary of the textbook should also take the Third grade, the third grade vocabulary. However, as a result of the analysis, the vocabulary of grade 4 or higher appeared in all three textbooks. 73% for A textbooks, 71% for B textbooks and 75% for C textbooks.There were a lot of vocabulary other than the grade. 54% for A textbooks, 51% for B textbooks, 53% for C textbooks and 49% for D textbooks.Compared to the 600 words of the 3rd grade vocabulary presented in “International Chinese Language Teaching Vocabulary” (2014), the number of proper vocabulary of the 3rd grade of the three kinds of teaching materials was quite high. 66% for A textbooks, 61% for B textbooks, and 75% for C textbooks.I examined the number of vocabulary repetition of three kinds of teaching materials on the market. Carpay (1975) was applied to investigate the proportion of vocabulary that appeared more than four times. The average grade A to grade 1~6 was 27%, the textbook B was 26%, and the textbook C was 26%. At least 26% and 27%, respectively.It is not easy to use grade 3 vocabulary (including Grades 1 and 2) when organizing Third grade textbooks. You may also use several classes of vocabulary depending on the purpose of the textbook. However, if a Third grade textbook is used, it is reasonable to use a vocabulary lower than the third grade for the purpose.
Combining the Causal Judgments of Experts with Possibly Different Focus Areas

In many real-world settings, a decision-maker must combine information provided by different experts in order to decide on an effective policy. Alrajeh, Chockler, and Halpern [2018] showed how to combine causal models that are compatible in the sense that, for variables that appear in both models, the experts agree on the causal structure. In this work we show how causal models can be combined in cases where the experts might disagree on the causal structure for variables that appear in both models due to having different focus areas. We provide a new formal definition of compatibility of models in this setting and show how compatible models can be combined. We also consider the complexity of determining whether models are compatible. We believe that the notions defined in this work are of direct relevance to many practical decision making scenarios that come up in natural, social, and medical science settings.
중국 디자인 인재양성을 위한 창의적 인성 교육 방안

In terms of design education, majority of education institutions in China have adopted cramming method of education for a long period of time and does not proactively utilize the creative design education method of the West. This study aims to propose creative character education measures based on academic theory consideration concerning character and talented people in order to identify measures for revitalizing creative design education equipped with upright character. Daniel Pink suggested 6 conditions of future-type of talented person and proposed creative character education measures of design education required in the current era by analyzing the arts and culture education in Canada, Finland and UK. In such process, it implies how import the national policies are for creative character education and in addition, demonstrates the effect of design education on a nation's economic effects and cultural status. On the basis of this research, it is urgent to change the stagnation of China design education, which is limited to imitating developed countries' educational models. In order to make full use of the following six theoretical conditions of humanistic creative design education, it is important to apply flexibly the six conditions of Branding, Storytelling, Communication, Thinking, Experience and Value to teaching. This is a showcase of the new methodology of China design education and provide a new methodology of China design education.
I Learn. You Learn. We Learn? An Experiment in Collaborative Concept Mapping

In this paper we present an experiment on digitally-supported collaborative Concept Maps focused on asynchronous and remote collaboration.We investigated the integration of multiple perspectives on the same topic, providing users with a tool allowing an individual perspective for each user plus a shared one for the group.Several user actions were made available, affecting one or both perspectives, depending on the context.Results show that integrating different perspectives in a way that everyone can relate to is indeed a complex task: users need to be supported not only in the production of a shared Concept Map, but also in the process of adapting their mental representations, in order to understand, compare and possibly integrate others' points of view.Our experiment shows that both collaboration in concept mapping (emphasis on the process) and collaboration on a Concept Map (emphasis on the result) are needed, whereas most tools, including the one we experimented with, focus on the latter.The main challenge is allowing people to understand, compare and assess each other's map, recognizing commonalities and differences through different representation styles and spatial organizations.
Comparing Between Makassarese and English Adverbs of Time

Abstract: Contrastive analysis is very important for learning second language acquisition because with knowing the difference and the similarities L1 and L2 that the learner became easy to learn the L2. This research aimed to analyze the simaliries and the differences between Makassarese  and English in adverbs of time. This study applied a qualitative study to cover the problem. First, the researcher took the data from several books on Makassarese grammar, Buginese Grammar, English grammar and from the researcher as the native speaker of Makassarese. Second, the researcher analyzed  the books to identify the adverbs. The results were found the similarities and the differences with comparing both of them. In English context, the researcher found that the sentences used many words ending in -ly and -ed and Based on tenses. The verbs should be changed based on the tenses, for example, go (present V1+es/s), went (Past Verb2), and go (Future will/shal+V1). Besides that, the researcher can know without an adverb of time in the sentence when the situation is happening only see the verb in the sentence. But in Makassarese context, the researcher cannot identify the sentence without adverb of time when the action is happening. Key words: Contrastive Analysis, Makasarese - English