Reviewerly/exHarmony huggingface dataset:
Education as Lifelong: Transcending the Schooling Syndrome

Ancient societies and civilization have had deep and fervent regard for education and educated citizens. Though learning in the earliest times was in large measure a matter of experience, indoctrination and imitation, enthusiasm in its acquisition was not less in momentum as inalienable deposit of the human past. Schooling or pre-schooling arrangements are a product of modern era. Often, many have confused education with schooling. Distinguishing between schooling and education in this article is not to dichotomize one from the other. Distinction, for the most part is done to relate. The paper states that schooling is one indispensable type of education, yet there are other educational forms. Education transcends acquisition of knowledge and a preparation for future living, to being a process of living. Conceptualizing education in formal or informal terms leaves education as a narrow and monolithic project or set of experience. Education in its widest meaning is not schooling nor can education be localized to school. Education has no end point or end state. Education runs from birth to death with no final termination and beyond schooling, education is transformative and emancipatory.
STRATEGI PERPUSTAKAAN KELILING DALAM UPAYA MEWUJUDKAN BUDAYA GEMAR MEMBACA WBP

Abstract : in 2016, the UNESCO International Agency recorded that the reading rate of Indonesian citizens was ranked 60th with a statistical data record of 0,0001%. This means that out of 1,000 Indonesians only 1 person is diligent in reading books. It is indicated that the lack of reading facilities is one of the factors that causes the lack of interest in reading Indonesian people. The mobile library facility is a solution that can be done by the government in increasing the reading interest of the Indonesian people including the WBP within the Penitentiary. The following research uses qualitative research methods with the type of literature review research. This study aims to measure the effectiveness of mobile library services in increasing interest in reading WBP as one of the fulfillment of prison functions as a place of guidance. Key Word : mobile library, interest in reading, fostering prisoners.
FEATURES OF THE FORMATION OF THE MUSICAL COMPREHENSION OF SENIOR SCHOOLCHILDREN

The article discusses topical issues of educating the artistic comprehension of senior schoolchildren by means of musical art. The processes of its formation are considered, which includes the goal, objectives, content of music education, psychological and pedagogical conditions, means, organizational forms and methods; the peculiarities of the studied process in the music lesson, the pedagogical potential of the complex application of various types of musical activity of students is revealed.
The Orange workflow for observing collocation trends ColTrend 1.0

The Orange workflow for observing collocation trends ColTrend 1.0ColTrend is a workflow (.OWS file) for Orange Data Mining (an open-source machine learning and data visualization software: https://orangedatamining.com/) that allows the user to observe temporal collocation trends in corpora. The workflow consists of a series of Python scripts, data filters, and visualizers.As input, the workflow takes a .CSV file with data on collocations and their relative frequencies by year of publication extracted from a corpus. As output, it provides a .TSV file containing the same data (or a filtered selection thereof) enriched with four measures that indicate the collocation’s temporal trend in the corpus: (1) the slope (k) of a linear regression model fitted to the frequency data, which indicates whether the frequency of use of the collocation is increasing or declining; (2) the coefficient of determination (R2) of the linear regression model, indicating how linear the change in the collocation’s use is; (3) the ratio (m) of maximum relative frequency and average relative frequency, which indicates peaks in collocation usage; and (4) the coefficient of recent growth (t), which indicates an increased usage of the collocation in the last three years of the observed corpus data.The entry also contains three .CSV files that can be used to test the workflow. The files contain collocation candidates (along with their relative frequencies per year of publication) extracted from the Gigafida 2.0 Corpus of Written Slovene (https://viri.cjvt.si/gigafida/) with three different syntactic structures (as defined in http://hdl.handle.net/11356/1415):1) p0-s0 (adjective + noun, e.g. rezervni sklad),2) s0-s2 (noun + noun in the genitive case, e.g. ukinitev lastnine), and3) gg-s4 (verb + noun in the accusative case, e.g. pripraviti besedilo).It should be noted that only collocation candidates with absolute frequency of 15 and above were extracted.Please note that the ColTrend workflow requires the installation of the Text Mining add-on for Orange. For installation instructions as well as a more detailed description of the different phases of the workflow and the measures used to observe the collocation trends, please consult the README file.
Data-Driven Software Engineering

Specialized tools, such as IDEs, issue trackers, and code review tools, are an indispensable part of the modern software engineering process. These tools are constantly evolving. Besides enabling tools to support a wider range of technologies and frameworks, we are learning to provide additional features in completely new ways. One prominent stream of innovation in software engineering tools is dedicated to utilizing historical data to enable data-driven features, such as defect prediction engines and recommender systems, which leverage records of prior activity to assist with decision making. Many data-driven features in software engineering tools initially get born out of the context of real-world tools as techniques devised and evaluated in synthetic settings by researchers. While convenient, synthetic evaluation of approaches that are ultimately aimed at bringing improvement to real world problems involves a number of simplifications and assumptions. In this dissertation, we highlight several aspects that, while vital for bringing innovative methods to software engineering tools, are often discarded in existing research. We closely explore several topics specific to artificial evaluation environments, such as simplifications in mining file modification histories, use of synthetic datasets for source code authorship attribution, and a gap between accuracy of reviewer recommendation models and their perception by users. Moreover, we make a case for sharing technical artifacts by converting data mining pipelines into reusable tools, and propose a novel approach to modeling expertise transfer from code modification by capturing individual contribution style of developers. Key contributions of this dissertation include a high-level model of the lifecycle of a data-driven software engineering technique, a discussion of dangerous assumptions and simplifications that are made on every step in this lifecycle, a demonstration of importance of a careful approach to mining software repositories, and a demonstration of serious misalignment between artificial evaluation and realistic environments for the problems of code reviewer recommendation and code authorship attribution. We conclude the dissertation by discussing underlying reasons for misalignment between research environments and real-world tools, and propose potential steps to narrow it down and ultimately accelerate innovation in software engineering tooling.
Semi-automatic Scholar Encyclopedia Generating System Based on Scholar Social Network

We introduce a unified system for SCHOLAT to import information into Encyclopedia, called Semi-automatic Scholar Encyclopedia Generating System, which consists of four modules: website display page, backstage administration module, version comparison and website security module. Scholar Encyclopedia is implemented as a subsystem of Semi-automatic Scholar Encyclopedia Generating System. Scholar Encyclopedia is a scholar information website that has been independently compiled by the scholars and filled in by personal information. Scholar Encyclopedia Import Model consists of three modules: user evaluation, information import and manual review. At present, Semi-automatic Scholar Encyclopedia Generating System has been used, and the beta version of Scholar Encyclopedia has been deployed in our school network center. The online application shows that Scholar Encyclopedia Import Model has good accuracy and practicability.
TEACHING SCHOOL INFORMATICS IN THE CONTEXT OF DIGITALIZATION OF EDUCATION

The article deals with teaching school informatics in the context of digitalization of education. We will present a brief description of the stages already passed by general education schools in Russia and Kazakhstan on the path of digitalization of education, and note the features of the content of computer science training in each of them. The differences in the content of school education in our countries have become noticeable only in the last decade; this period will be considered in more detail. The content of the school course of computer science, combining fundamental and applied aspects, should be continuously developed, thereby ensuring compliance with the current level of development of the field of computer science and information technology.
Research on the Construction of Artificial Intelligence Aesthetic Education Platform Based on Moodle

Abstract At present, most schools are short of intelligent teaching platform resources for aesthetic education, which leads to the lack of personality education and emotional education, as well as the poor interaction and experience of emotional communication. Based on this, this paper first analyses the connotation and role of Moodle info platform, then studies the current situation and problems of aesthetic education info teaching, and finally gives the construction strategy of AI aesthetic education platform based on Moodle.
The Ability of the Students in Analyzing Morphological Words

This research aims at finding the students’ ability in analyzing morphological words on parts of speech, inflectional and derivational, and word-structure diagram and the students’ errors related to parts of speech, inflectional and derivational, and word-structure diagram. The population of the research was the fourth semester Students of Cokroaminoto Palopo University. Purposive random sampling was applied to take sample. To obtain the data, the test was used. The data shows that the students have fair ability by seeing the mean score 54.2. Specifically the students have fair ability in defining parts of speech with the mean score 44.8, while in defining inflection and derivational morpheme the students also have fair ability with the mean score 41.9, and the students have poor ability in analyzing words by word-structure diagram with the mean score 22.3. By comparing the mean score the students have difficulty in analyzing words by word-structure diagram mostly. The Students’ errors in analyzing morphological words are that they committed misanalysis on defining parts of speech, defining derivations and inflections, and misanalysis on words-structure tree such as formation of word- structure tree, bases of words, suffixes, and separating words. It seems that he students have low morphological awareness and lack of knowledge of morphology.
Using Some Examination and Analysis Devices for Authenticity of Manuscript

The technological advancement process of falsifying old documents and manuscripts of doubtful authenticity that constituting a major problem in the field of forgery, and this study aims to reduce forgery and forgery in a scientific and safe manner, so it is necessary to understand and study the compounds that involved in forming the differentiation between old paper and modern paper by (FTIR & SEM), firstly, when using (SEM) to identify the sample surface and then compare between the old sample and forgery sample, to notice the difference between them and is there a time fingerprint applied to the sample? Second: When using (FTIR), in which the internal compounds are studied with a follow-up of the time factor and its mark on the functional groups, and the result was a clear difference between the fake sample and the original sample, this difference clearly appeared in the analyzes and examinations used, where it appeared using (SEM) found dust what firm penetrator is not visible to the eye in the applied sample due to the accumulation of dust over time and its penetration, and the most important thing that the analysis (FTIR) showed is the emergence of the group of alkanes responsible for energy storage, which explains the speed of burning old paper, and the group responsible for the presence of gelatin in the applied sample only appeared due to the technique Industry in the past, and finally, the group responsible for carbonyl appeared in the old paper due to its complete drying after losing the hydrogen atom unlike the modern forgery paper, so we came out of this study with the possibility of establishing the idea of detecting forgery with easy-to-apply scientific evidence.
A Signal Processing Method for Text Language Identification

Language identification is a critical step prior to any natural language processing. In this paper, a signal processing method for Language Identification is proposed. Sequence of characters in a word and the order of words in stream identify the language. The sequence of characters in a stream provides a signature to recognize the language without understanding its meaning. The signature can be extracted using signal processing techniques via converting texts into time series. Although several research and commercial software have been developed to identify text language, they need a standard dictionary for each language. We proposed a dictionary independent method consisting of three main steps, I) preprocessing, II) clustering and finally III) classification. First, the texts are converted to time series using UTF-8 codes. Second, to group similar languages, the obtained series are clustered. Third, each cluster is decomposed into 32 sub-bands using a Wavelet packet, and 32 features are extracted from each sub-band. Also, a multilayer perceptron neural network is used to classify the extracted features. The proposed method was tested on our dataset with 31000 texts from 31 different languages. The proposed method achieved 72.20% accuracy for language identification.
Policy Gradient Bayesian Robust Optimization for Imitation Learning

The difficulty in specifying rewards for many real-world problems has led to an increased focus on learning rewards from human feedback, such as demonstrations. However, there are often many different reward functions that explain the human feedback, leaving agents with uncertainty over what the true reward function is. While most policy optimization approaches handle this uncertainty by optimizing for expected performance, many applications demand risk-averse behavior. We derive a novel policy gradient-style robust optimization approach, PG-BROIL, that optimizes a soft-robust objective that balances expected performance and risk. To the best of our knowledge, PG-BROIL is the first policy optimization algorithm robust to a distribution of reward hypotheses which can scale to continuous MDPs. Results suggest that PG-BROIL can produce a family of behaviors ranging from risk-neutral to risk-averse and outperforms state-of-the-art imitation learning algorithms when learning from ambiguous demonstrations by hedging against uncertainty, rather than seeking to uniquely identify the demonstrator's reward function.
Wavelet Based Image Coding via Image Component Prediction Using Neural Networks

In the process of wavelet based image coding, it is possible to enhance the performance by applying prediction. However, it is difficult to apply the prediction using a decoded image to the 2D DWT which is used in JPEG2000 because the decoded pixels are apart from pixels which should be predicted. Therefore, not images but DWT coefficients have been predicted. To solve this problem, predictive coding is applied for one-dimensional transform part in 2D DWT. Zhou and Yamashita proposed to use half-pixel line segment matching for the prediction of wavelet based image coding with prediction. In this research, convolutional neural networks are used as the predictor which estimates a pair of target pixels from the values of pixels which have already been decoded and adjacent to the target row. It helps to reduce the redundancy by sending the error between the real value and its predicted value. We also show its advantage by experimental results.
Assessing idiomaticity representations in vector models with a noun compound dataset labeled at type and token levels

Accurate assessment of the ability of embedding models to capture idiomaticity may require evaluation at token rather than type level,to account for degrees of idiomaticity and possible ambiguity between literal and idiomatic usages. However, most existing resources with annotation of idiomaticity include ratings only at type level. This paper presents the Noun Compound Type and Token Idiomaticity (NCTTI) dataset, with human annotations for 280 noun compounds in English and 180 in Portuguese at both type and token level. We compiled 8,725 and 5,091 token level annotations for English and Portuguese, respectively, which are strongly correlated with the corresponding scores obtained at type level. The NCTTI dataset is used to explore how vector space models reflect the variability of idiomaticity across sentences. Several experiments using state-of-the-art contextualised models suggest that their representations are not capturing the noun compounds idiomaticity as human annotators. This new multilingual resource also contains suggestions for paraphrases of the noun compounds both attype and token levels, with uses for lexical substitution or disambiguation in context.
A Study of Blended Teaching &amp; Learning Model in College English Cultural Courses

This paper aims to explore and analyze the effect of the blended teaching and learning model used in college English cultural courses by taking the course "Introducing Chinese Culture in English" as an example.The blended teaching and learning model brings the optimal integration of on-line and off-line teaching and learning into reality by employing the on-line state level MOOC (Massive Open Online Course) "Introducing Chinese Culture in English", constructing SPOC (Small Private Online Course) on U-Campus platform, and adopting a variety of cultural activities in off-line classroom.The teaching practice proves that the blended teaching and learning model advocates the "learner-centered" teaching idea, and fits in the characteristics of college English cultural courses.The learners acquire abundant and effective cultural information through the on-line MOOC and SPOC resource input, and in the off-line classroom, through different types of teacher-learner and learnerlearner interaction and varied cultural teaching strategies, including cultural lecture, cultural performance, cultural discussion, the teachers and learners cooperatively and successfully construct an interactive, harmonious and humanistic cultural classroom.
Konzeption und Entwicklung eines auf DeepSpeech basierenden Open Source Editors zur Transkription von Audio- und Videomaterial

More and more often, spoken information must and should be available in written form. For this purpose, various transcription programs try to support the user with various conveniences when transcribing the source material. A variety of online services go one step further and provide a ready-to-use, automatically generated transcription for a fee. Since the fees can be very expensive for the individual user and the online services may not always be used for privacy reasons, the goal of this work is to implement an open offline alternative. This alternative should be an open source editor based on the open speech-to-text-engine DeepSpeech and should on one hand provide the user with an offline transcription and on the other hand support him in correcting it. To achieve this goal, first the traditional speech recognition and eventually DeepSpeech will be described. This is followed by the conception and implementation of the editor. Since this project is explicitly intended to be an open source project, the last part will take a closer look at the release.
TINGKAT PENGUASAN SELFREGULATED LEARNING SKILLS PADA MAHASISWA JURUSAN ADMINISTRASI NIAGA

Self regulated learning is a way for individuals to control and direct their actions in planning, monitoring, directing and evaluating themselves which will directly affect behavior change so that the mastery of knowledge and skills can be achieved. Students have different ways in their learning process in order to achieve better goals and results. This study aims to look at the differences in self regulated learning skills in students who take part in organizations and students who do not take part in organizations in the Department of Commerce Administration. The population in this study were students who took part in the Formal Organization at the Jakarta State Polytechnic. The sampling technique used in this study was nonprobability sampling, namely Purposive Sampling. The number of samples taken were 60 students, 30 students who took part in the Organization and 30 students who did not participate in the Orgnaisasi either male or female students. While the data collection technique uses a self regulated learning scale with a rating system using a Likert scale. Methods of data analysis were performed using the Independent Sample t-Test technique.
THE EFFECTIVENESS OF SCHEMATA TECHNIQUE IN SPEAKING SKILLS TO GRADE VIII STUDENTS’ AT MTS. NURUL HIKMAH TINJOWAN IN SCHOOL YEAR 2019/2020

The objective of the study is examine whether the schemata technique affects the students’ speaking achievement at MTs. Nurul Hikmah Tinjowan in school year 2019/2020. The method used in this study was an experiment method. The population of this research was grade VIII student of MTs. Nurul Hikmah Tinjowan, There are 3 parallel classes, with 107 students. To get the sample from population the researcher takes the 25%  which has 40 students. Having analyzed the data thoroughly, the conclusion is schemata technique can give significantly the effect on the students’ mastery of speaking. It also makes the students more social and active, more independent in the classroom and also makes the students more interested in the subject. Key Words: Speaking, Schemata Technique
InfoGuides: Research Support: Open Access Publishing Fund

Information about library services that support faculty research. Covers services such as issuing DOIs, repository and publishing services for sharing and archiving research, metadata, data management, ORCID, biosketches, copyright and Creative Commons.