Reviewerly/exHarmony huggingface dataset:
Pedagogical Competencies – An Analysis of Learning Outcomes of the Program for Acquiring Pedagogical Competencies within Lifelong Learning in the Republic of Croatia

Education has long been recognized as the key to the survival not only of the individual but of society as a whole.Today we are facing numerous challenges that require some new knowledge and skills from the individual.The education system, i.e. teachers, have a key role in enabling an individual to have ready answers to the challenges of the 21st century.The importance and necessity of quality teacher training has been recognized by numerous European and Croatian documents, with recommendations based on various scientific research.The aim of this paper is to single out the key competencies of teachers and with their help to analyse the learning outcomes of some of the current lifelong learning programs for the acquisition of pedagogical competencies in the Republic of Croatia.The conducted analysis will determine whether the pedagogical competencies are developed during the compulsory part of the program for the acquisition of pedagogical competencies, or whether they are acquired during the elective courses.The obtained results will indicate whether there is a need to design and implement a unique program at a national level that would ensure the acquisition of basic pedagogical competencies for all teachers after the completion of the program.
THE EFFECT OF GUESSING GAME ON STUDENTS’ VOCABULARY KNOWLEDGE

The purpose of the study was to know and describe the effect of guessing game technique on students’ vocabulary knowledge at the seventh grade of a state Islamic Junior High School (MTsN). This study applied a quantitative method and a quasi-experimental design. The samples of the study were chosen using purposive sampling technique with the total number of 63 students. There were two classes consist of the Experimental class and controlled class. The experimental class was taught by using guessing game technique while the controlled class was taught by listening to the teacher’s explanation on the textbook’s material and doing assignments. The data were collected through pre-tests and post-tests and analyzed using t-test. The result of the pre-test showed that the mean score of the experimental class was 57.9 and the controlled class was 68.54. However, after given guessing game treatment, the experimental class mean score increased up to 78.4 while the controlled class mean score was 70.93. It means that Ha was accepted. In addition, the effect size was 1.0 (moderate effect). Therefore, it can be concluded that there was a significant effect of using guessing game technique on students’ vocabulary knowledge at the Seventh Grade of a state Islamic Junior High School (MTsN).
Integration Mechanism of Heterogeneous Foreign Language Education Resources Based on Time Series Analysis in IIoT

Industrial Internet of Things (IIoT) has attracted much attention from global researchers and has been applied into many fields, such as medical treatment, transportation, and education. This paper pays attention to an IIoT-oriented education problem and gives the corresponding solution. Heterogeneous educational resources have multisource target data, so it is necessary to integrate the repetitive data and data with the same attributes. However, due to the poor tracking effect of the model constructed by traditional methods, the mining technology loses a part of the data characteristics and affects the multisource foreign language education data integration. So this article studies the integration mechanism of foreign language heterogeneous educational resources based on time series analysis. The mechanism adopts a data cleaning and fusion method based on the time series similarity measurement. This method uses approximate symbol aggregation, European algorithm, and similar sequences with adjusted similarity weights to complete the data cleaning of foreign language heterogeneous educational resources. After that, it uses multiple heterogeneous data fusion algorithms to complete data integration. Experiments with foreign language education resources at all levels in a certain city show that the mechanism can detect abnormal data of foreign language education resources, fill in vacant data, reduce data redundancy, and integrate heterogeneous data. After the data are cleaned by multisource heterogeneous data fusion algorithm, the credibility of the measurement data is reflected, and the mean absolute percentage error is only 6.25%. The data quality is improved as a whole, and it provides reliable basic data for the application of foreign language education resources.
The Decision Support System Determines The Effectiveness Of The Pelita Nusantara Stmik Promotion Media With The Profile Matching Method

In carrying out promotional activities, the level of effectiveness of a promotional media used by the promotion team greatly influences the results to be achieved. Therefore, it is necessary to pay attention to which promotional media is more appropriate to use when conducting promotions. In decision making, the researcher uses the Profile Matching method. The Profile Matching method is used as a mechanism in decision making by assuming that there is an ideal level of predictor variables that must be met by the subject under study, not a minimum level that must be met or passed. In the Profile Matching process, a comparison process will be carried out between individual competencies into standard competencies, in this case the ideal Raskin profile, so that differences in competence can be known. From the decision-making process carried out will obtain the results of the most effective promotional media used in carrying out promotional activities.
ePALS: UTILIZING ICT TO PROMOTE ENGLISH LANGUAGE LEARNING FOR YOUNG LEARNERS THROUGH GLOBAL CONNECTION

The proper use of digital learning technologies in the classroom may boost student engagement, assist teachers in improving lesson ideas, enable individualized learning, and also assists learners in developing 21st-century abilities. ePals is one of global online learning platforms that can be used for connecting, communicating and collaborating with teachers and students all over the world. ePals is utilized to teach English that provides opportunities to English learners including young learners to communicate with people across countries. Descriptive qualitative method was used to acquire the data gained from observation and interview. The findings revealed that the use of ePals for young learners becomes effective teaching and learning process to connect with students all over the world as a media to use the target language. Young learners were enthusiastic about activities of the project made by the teacher with school partners through ePals that allow young learners to communicate with foreigners using English, even though there were some problems encountered by the teacher and young learners about the internet connection and language. Hence, with the success to bring the experience of using the target language for young learners, the use of ePals with different levels is highly suggested.
Learning Media Development Using Lectora Inspire for Social Science Subjects

This study aims to develop learning media for Lectora Inspire. This study used a research and development (R&amp;D) method and was developed using the dick and carey model into 3 stages, namely the pre-development stage, product development and revision and evaluation trials. Based on the results of data analysis after the product has been validated by the validator, the final product has met the appropriate criteria with an average score of 3.78 for media experts, 3.78 for material experts, and 3.69 for learning design experts. very valid criteria. The results of students' responses to individual group trials were 89.3%, for medium group trials of 92.56% and teacher responses to field trials of 96.53%. Thus, the learning media Lectora Inspire developed is valid, practical and effective enough to be used in social studies learning.&#x0D;
Pegaruh Kebiasaan Belajar Aktif Siswa terhadap Prestasi Belajar di Kelas VIII MTS. YPPI Wonorejo Belitang

This study departs from active learning habits that will affect student achievement in MTs schools. YPPI Wonorejo. This study aims to analyze students' active study habits and their effect on student achievement. The method used is quantitative with a descriptive survey approach. The research population is all students grade VIII, totaling 176, of which 100 students are set as samples by using proportionate stratified random sampling technique. Methods of collecting data with questionnaires, unstructured interviews and documentation were analyzed using descriptive statistical analysis, normality test, linearity test, and regression test. The results of the study show that: (1) The level of active learning habits of students is in the good category, this is proven by the mean value of 66.96, median of 65.50, mode of 65, standard deviation of 9.710. (2) Student learning achievement is also in good category, which is the mean 71.70, median 73.00, mode 80, standard deviation 7.175. (3) There is a significant effect between active study habits on student achievement. It is characterized by a significant linear relationship (0.114 &gt; 0.05), and the value of tcount&gt; t­table (3.710 &gt; 1.987).
THE CONTENT OF BLENDED LEARNING IN HIGHER EDUCATIONAL INSTITUTIONS

The article analyzes the content of the blended learning model. Four key elements of blended learning have been identified, namely, full-time, digital or online learning, allowing students to control the pace, location, mode and / or timing of learning, and integrating full-time and online learning. The main components of blended learning include face-to-face meetings, online content, collaboration, evaluation, and reference materials. In blended learning, face-to-face and online learning elements work together to diversify learning, rather than simply duplicating course content in different formats. The advantages and disadvantages of blended learning, the use of optimal methods in working with freelance students have been considered. It has been noted that most blended learning programs use these four learning models: rotation, Flex model, a la carte, extended virtual model. The advantages and disadvantages of blended learning have been analyzed. The author emphasizes that video was and remains the most common technology used in blended learning. For many teachers, the use of video in a blended learning environment is the primary means of providing blended learning content. The analysis showed that the problems of blended learning include: dependence on technology, students who are not used to working independently, reducing face-to-face communication, patterned tasks. A blended approach to learning can have a huge impact on engaging and retaining student knowledge. Research has shown that “blended learning” reduces failure rates, improves learning, and increases engagement. Blended learning combines the best aspects of full-time teaching and online learning so that students can learn at their own pace. The blended learning model can help to incorporate the principle of individualization based on time, teaching methods and even personal preferences, but the introduction of the blended learning model requires major changes in teachers' perceptions of learning.&#x0D; Keywords: blended learning; digital learning; distance learning; online content; online learning; laboratory rotation; individual rotation; inverted class; Flex model; a la carte.
Application of Data Mining Clustering the Development of Covid-19 Using K-Medoids Method

At the beginning of March, Indonesia was hit by the entry of the corona virus (covid) outbreak. Every day the cases of the spread of covid-19 in Indonesia continue to increase. The public is asked to carry out social distancing in order to break the chain of the spread of Covid-19 which is spread in various regions in Indonesia. Therefore, the data that has been accommodated is certainly a lot, from the data it can be seen that the patterns of determining the grouping of the spread of Covid-19 are based on test scores. Public. K-Medoids is a partitional clustering analytical method that aims to get a set of k-clusters among the data that is closest to an object in grouping a data. The results of the study of grouping the spread of the new covid-19 show that people come from various regions in Indonesia. Characteristics with a body temperature above 36.9 C and accompanied by fever and continuous cough show one of the symptoms of Covid-19.
Formation Of Environmental Competence Of Graduates Of A Technical University

This article substantiates the idea that the problem of formation of environmental competence in the field of production safety in technical universities has not been sufficiently investigated: a comprehensive system of environmental knowledge, skills, actions in conditions of environmental risks in the process of studying professional disciplines has not been developed.The need to study the formation of environmental competence in the field of production safety is especially necessary in maritime educational institutions, since graduates are marine specialists who must be able to independently make decisions in isolated conditions, taking into account the requirements of the International Conventions in the field of maritime safety.The article pays special attention to the methods of competence-risk and situational-risk approaches as the basis for building a model for the formation of environmental competence of a graduate of a maritime university in the field of production safety.The conditions for the phased formation of personal and professional characteristics of the environmental competence of cadets are determined.The authors propose criteria for assessing the level of formation of environmental competence of a university graduate.Based on the analysis of the personal characteristics of university graduates, the level of formation of environmental competence is determined.The concept of formation of environmental competence of a graduate of a maritime university in the field of production safety developed by the authors provides training of a marine specialist in the field of production safety.
Cybernetics, Listening, and Sound-Studio Phenomenotechnique in Abraham Moles’s <i>Théorie de l’information et perception esthétique</i> (1958)

In his Théorie de l’information et perception esthétique (1958), the sociologist of culture Abraham Moles (1920–92) set out to demonstrate the applicability of information theory—a mathematical linchpin of cybernetics—to the arts more generally. Moles drew on classical psychophysics, Gestalt psychology, more modern behavioral psychology, and contemporary psychoacoustic research to advocate a cybernetic model of the perception and creation of art. Moles repeatedly returned to musical examples therein to make his case, leveraging his dual expertise in philosophy and electroacoustics, drawing on formative experiences with Pierre Schaeffer in Paris and Hermann Scherchen at his Gravesano studio. Moles’s interdisciplinary text found many attentive readers across Europe and, following an English translation by the precocious Joel E. Cohen (1966), the Anglophone academic world, but it was valued more as an inspiration for the burgeoning area of “information aesthetics” than as a source of hard scientific evidence. Drawing lightly on positions in the history and philosophy of science articulated by Gaston Bachelard (who supervised Moles’s second PhD, in philosophy) and Hans-Jörg Rheinberger suggests a change of emphasis away from its apparent scientific infelicities and toward Moles’s use of sound-studio technique, which is described with reference to the technologies available to Moles in the years leading up to the publication of the Théorie. Moles manipulated and processed sound recordings—filtering, clipping, and reversing them—in his attempts to empirically estimate the relative proportions of semantic and aesthetic information in speech and music. Moles’s text, when understood in tandem with the traces of his practical experiments in the sound studio, appears as an influential and occasionally prescient exposition of the many possible applications of the principles of information theory to the production, perception, and consumption of sound culture that makes ready use of the latest technical innovations in the media environment of its time.
Mapping COVID-19 in a Region Using IP Geolocation and Fuzzy Inference System

The spread of COVID-19, which is getting faster every day, has made people wary. If residents suffer from the symptoms and risks of COVID-19, they are afraid and ashamed because they feel ostracized by their neighbors, relatives, and families. It is a shame and fear of reporting that causes the transmission of COVID-19 to accelerate. Therefore, it is necessary to create a system that can answer the problem, namely a system that can detect first aid symptoms and risks of COVID-19 suffered by residents, so that residents know their health status without checking the health of the COVID-19 task force in each area. The system is made by reading the location of residents who report their health to know where they are and their health status. A method for reading the location of system users based on IP addresses is called IP Geolocation, which stands for Internet Protocol Geolocation. The determination of the health status of residents is in the category of Negative COVID-19, ODR, ODP, PDP, or Positive COVID-19 using the Fuzzy Inference System (FIS) method. The IP Geolocation and FIS results will be displayed on a map (google maps). Implementing this system will make it easier for the Government to monitor the spread of COVID-19 based on public reports and information. By testing using the black box method based on partition equivalence with seven facilities in the system, one mistake makes the facility a weakness of IP Geolocation.
Semantic Interaction Strategy of Multiagent System in Large-Scale Intelligent Sensor Network Environment

In a multiagent system, the semantic interaction between agents is an important aspect affecting multi-intelligence. The purpose of interaction is to reasonably arrange task objectives and behaviors through information sharing and communication interaction, so as to maximize the overall performance of multiagent system. This paper analyzes the communication and interaction process between agents from the perspective of semantic layer and introduces the BDI (belief, desire, intention) model of agent’s thinking state into the communication and interaction process. Furthermore, we propose a multiagent semantic interaction strategy model based on a large-scale intelligent sensor network, which supports various types of negotiation and interaction on the basis of basic interaction behavior to solve the problem of information operational conflicts. In addition, this paper limits the scale of historical information through the definition of equivalence and the merging theorem of history, and it uses reinforcement learning algorithm to detect possible conflicts and delay communication and makes rational use of limited resources to improve system revenue and coordination efficiency. The experimental results show that compared with the previous methods such as debate and negotiation, the strategy model can realize the flexible interaction based on scene and is more practical. At the same time, the existence of reinforcement learning improves the efficiency analysis and the convergence performance of semantic interaction strategy.
Using Children’s Literature to Develop Pupils’ English Language Acquisition

English learning has become more and more popular nowadays in China.Most Chinese children begin to learn English from the primary school or even from kindergarten.Therefore, the learning materials designed and chosen for English learners are closely related to their English learning interests and efficiency.This study focuses on using children's literature to develop children's English acquisition.
Sistem Informasi Penjadwalan Mata Pelajaran Pada Sma Negeri 02 Tebing Tinggi Dengan Menggunakan Metode Genetika Berbasis Web

The subject scheduling information system is one way to overcome the optimization problem determined by the institution where the schedule is used, namely at SMA Negeri 2 Tebing Tinggi, Empat Lawang Regency, South Sumatra Province. The software was tested on several different data groups using the genetic algorithm method. The results obtained are helping to arrange automatic scheduling of subject scheduling. Based on the test results of the subject scheduling information system software at SMA Negeri 2 Tebing Tinggi using the Black box and the usability of the overall test summary results are said to be good. So that with the subject scheduling system at SMA Negeri 2 Tebing Tinggi, Empat Lawang Regency, South Sumatra Province, it can be more efficient and even better in compiling subject schedules.&#x0D; &#x0D; Keywords: Information System, Scheduling, Genetics, PHP
Application of Scrabble Game in Improving Learning of Simple Sentence Structure on the Student with Hearing Impairment

The purpose of this study was to analyze the application of scramble games on the learning ability to compile simple sentence structures in students with hearing impairment. Scramble Game is the learning method that was chosen to convey the material for constructing simple sentences in this study. The research method used in this study was an experimental method with a Single Subject Research (SSR) design which was conducted in three stages, namely: 1) learning in initial condition (before intervention), 2) learning in the intervention condition, and 3) learning after the intervention. The research subject is a second-grade student with hearing impairment at a special junior high school in Cirebon Regency. The Scramble Game method is prepared by making picture cards containing simple words to be arranged into coherent sentences. The results of the study show that after being given learning with the scramble game with picture word cards, the student with hearing impairment experienced increases in their ability to compose simple sentence structures. This study provides alternative learning strategies, especially for teachers who teach the student with hearing impairment.
Implementasi Model Waterfall Pada Pembangunan Sistem Informasi Keuangan Proyek

In the digital era like today, technology is developing very rapidly. Computers have become a major requirement in business processes today. PT Suma Karya Gemilang is a company engaged in the construction sector. PT Suma Karya Gemilang in running its business is still not computerized such as submitting funds and making project expense reports. The impact of a system that has not been computerized causes ineffectiveness in work, frequent unintentional errors, frequent buildup of unprocessed documents, resulting in documents being easily lost and damaged if not processed quickly, making project expense reports often writing errors and inaccurate in the making. So that the design of a project financial information system with the Waterfall development method is a solution to the problems that exist at PT Suma Karya Gemilang. With a computerized system, the work process becomes more efficient and effective in supporting all company activities. The results obtained by using a computerized system reduce writing errors, report generation becomes accurate and effective, with the use of document databases becoming more organized and not piling up. Overall, a computerized system is much better in all aspects than a non-computerized system.