Reviewerly/exHarmony huggingface dataset:
Developing system thinking skills in education students by means of cognitive mapping strategy

Introduction. The article is devoted to the problem of developing Education undergraduates’ system thinking skills through cognitive mapping. The purpose of the article is to identify the specifics of the development of system thinking skills in Education undergraduates by means of cognitive mapping strategy. Materials and Methods. The study follows competence-based, systemic and activity-based approaches to teaching Education students. The authors used a set of theoretical (analysis, synthesis, reviewing scholarly publications) and empirical methods. The empirical research was conducted as a formative teaching experiment (action research). The empirical data were analyzed and summarized. The sample consisted of 186 Education students (State University of Education, Tambov State University named after G. R. Derzhavin). In order to verify the research findings, the authors developed and used a system thinking skills scale and A. V. Panova and M. A. Fedorova’s system thinking assessment inventory. In order to assess system thinking skills, the authors selected a set of criteria based on the analysis of R. A. Excelsa, G. K. Semiz and G. Teksoz’s studies. The Mann-Whitney U-test was used to determine the reliability of the reported statistics and the accuracy of the results. Results. Based on the analysis of theoretical studies and successful educational practices, the authors clarified the concept of developing the skills of systemic thinking in Education students, identified the specifics of this process on the basis of a formative experiment on the implementation of cognitive mapping strategy (setting the goal; choosing a topic for mapping; collecting information; preparing materials; definition of key terms; creation of the first level of the cognitive map; adding additional levels; analysis and evaluation; preparation for use; editing and updating). Summarizing theoretical and empirical data, the authors developed and justified diagnostic tools for measuring students’ system thinking skills (role levels include pre-aware; developing; developer and master), and identified the level of system thinking skills in future teachers. The study has proved the effectiveness of the purposeful development of system thinking skills in Education students by means of cognitive mapping strategy. Conclusions. The article concludes about the effectiveness of developing systemic thinking skills in Education students through cognitive mapping strategy. Research findings on the level students’ system thinking skills are summarized.
Identification of Important Factors in the Diagnosis of Breast Cancer Cells Using Machine Learning Models and Principal Component Analysis

Breast cancer (BC) is now identified as a disease with a significant impact on morbidity and mortality that is growing and widespread worldwide. This study uses a publicly available clinical dataset of 699 patients from the University of Wisconsin with 9 variables: (1) clump thickness, (2) uniformity of cell size, (3) uniformity of cell shape, (4) marginal adhesion, (5) single epithelial cell size, (6) bare nuclei, (7) bland chromatin, (8) normal nucleoli, and (9) mitoses. This dataset has been used for many studies in the past to pinpoint critical factors in patient diagnosis. Here, we use this data to ensure its unbiasedness and accuracy. We then apply principal component analysis and machine learning models to identify factors in diagnosing a malignant or benign tumor. We investigate and compare the classification accuracy of different machine learning models, including tree, linear discriminant, quadratic discriminant, logistic regression, naive Bayes, support vector machine (SVM), K-nearest neighbor (KNN), ensemble, neural network, and kernel. The best models that can achieve the highest accuracy are medium Gaussian SVM, coarse Gaussian SVM, and cosine KNN, with an accuracy of 96.5%. The principal component analysis method is then performed to identify crucial components and build an accurate model with fewer parameters. The medium Gaussian SVM has the highest cross-validation classification accuracy of 96.98% and requires only three predictors: normal nucleoli, bare nuclei, and cell size uniformity.
STATUS, LEADERSHIP, AND ADMINISTRATIVE PRACTICES OF COMMUNITY COLLEGE IN NEPAL

Community colleges in Nepal, subsidized by the local community, have been preparing students to be productive members of the nation's futu re. The role of community colleges seems crucial in contributing in the field of Nepali academia from the date of its establishment. The pu rpose of this paper is to present the cu rrent status of Nepal Community College comparing to other Asian countries. This review study intends to provide a solution to the question of when Nepal's community college will have sufficient endowment to meet the needs of students and other stakeholders with a direct or indirect connection to the institution. It also explores if community campus leadershi p and supervision practices are sufficient to produce competent students who may be employable in Nepal and beyond. This article seeks to identify certain leadershi p and management approaches, as well as the growth of community colleges. Additionally, this material is based on years of experience obtained while working as a community college instructor.
Assessment Rubric Design for Students’ English Problem-Solution Short Essay Writing

Abstract. This paper is aimed at describing the parts (paragraphing and contents) of problem-solution short essay necessary for the assessment and analyzing the approach used in designing the rubric. The data are taken from the sample of problem-solution short essay which belongs to the argumentative writing. The data were collected by using the documentation method and was analyzed qualitatively. The results show that there are two main parts in the analytical assessment rubric for the problem and solution short essay namely contents and grammar with the percentage values 60% and 40% respectively. The assessments of contents cover the suitable Title of the essay, Paragraphing, and Task response. Each of them has scoring scales. Meanwhile, grammar assessments that contains omission, addition, selection, ordering, plus the use of capital/small letters are measured by counting the numbers of errors. In order to get the total score of the essay, the excel sheets with certain formula are made. The top-down approach is appropriate in designing the analytical rubric for this type of short essay. It comprises of four steps, they are 1) choosing a framework for the intended assessment, 2) determining the criteria of the assessment, 3) adapting an existing rubric and designing the rubric for the specific learning purposes, and 4) use the rubric. The last step requires further observation and evaluation to test the effectiveness of the rubric that has been designed.Keywords: Assessment Rubric, Writing, Problem-Solution, Short Essay, Parts of Essay
PERANCANGAN SISTEM INFORMASI PADA BANK SAMPAH MAJU LANCAR

Garbage is one of the important problems in society, because the amount is increasing day by day. The Maju Lancar Garbage Bank was established as a form of Trunan community participation in dealing with waste problems in Magelang. However, administrative management is still carried out manually and conventionally, making it difficult for secretaries to make deposit and transaction reports. This study aims to design a computerized waste management information system that can facilitate the secretary in collecting, processing and storing data and information. The method used in making this information system uses the waterfall method where the design is carried out in a structured manner. The result of this research is a waste management information system that can be applied to the Maju Lancar Garbage Bank. The test results show that the information system can work as needed at the Maju Lancar waste bank. The information system at the Maju Lancar Garbage Bank makes it easier for the secretary to make deposit reports and transactions more quickly and accurately.
Automatic transparency evaluation for open knowledge extraction systems

Abstract Background This paper proposes Cyrus, a new transparency evaluation framework, for Open Knowledge Extraction (OKE) systems. Cyrus is based on the state-of-the-art transparency models and linked data quality assessment dimensions. It brings together a comprehensive view of transparency dimensions for OKE systems. The Cyrus framework is used to evaluate the transparency of three linked datasets, which are built from the same corpus by three state-of-the-art OKE systems. The evaluation is automatically performed using a combination of three state-of-the-art FAIRness (Findability, Accessibility, Interoperability, Reusability) assessment tools and a linked data quality evaluation framework, called Luzzu. This evaluation includes six Cyrus data transparency dimensions for which existing assessment tools could be identified. OKE systems extract structured knowledge from unstructured or semi-structured text in the form of linked data. These systems are fundamental components of advanced knowledge services. However, due to the lack of a transparency framework for OKE, most OKE systems are not transparent. This means that their processes and outcomes are not understandable and interpretable. A comprehensive framework sheds light on different aspects of transparency, allows comparison between the transparency of different systems by supporting the development of transparency scores, gives insight into the transparency weaknesses of the system, and ways to improve them. Automatic transparency evaluation helps with scalability and facilitates transparency assessment. The transparency problem has been identified as critical by the European Union Trustworthy Artificial Intelligence (AI) guidelines. In this paper, Cyrus provides the first comprehensive view of transparency dimensions for OKE systems by merging the perspectives of the FAccT (Fairness, Accountability, and Transparency), FAIR, and linked data quality research communities. Results In Cyrus, data transparency includes ten dimensions which are grouped in two categories. In this paper, six of these dimensions, i.e., provenance, interpretability, understandability, licensing, availability, interlinking have been evaluated automatically for three state-of-the-art OKE systems, using the state-of-the-art metrics and tools. Covid-on-the-Web is identified to have the highest mean transparency. Conclusions This is the first research to study the transparency of OKE systems that provides a comprehensive set of transparency dimensions spanning ethics, trustworthy AI, and data quality approaches to transparency. It also demonstrates how to perform automated transparency evaluation that combines existing FAIRness and linked data quality assessment tools for the first time. We show that state-of-the-art OKE systems vary in the transparency of the linked data generated and that these differences can be automatically quantified leading to potential applications in trustworthy AI, compliance, data protection, data governance, and future OKE system design and testing.
Development of a logarithmic module equipped with a jigsaw cooperative model

The teacher's task is to compile lesson plans, books, or modules assess and evaluate. However, the fact is that the low learning outcomes are due to the difficulty level of the book. The results of the 2022 study show that students' scores are below 75, which is 74.80. Urgency, there is a difference between teacher assignments, expectations, and learning outcomes. The research aims to design practical and effective modules. The research method used is Research and Development (RD): Determination, Design, Development, Implementation, and Evaluation. The subject is high school, and the subject is 32 students. They are collecting data with assessment instruments from material experts, teachers, and students. Modules are measured by practicality through instruments, and tests measure effectiveness. Analysis technique with validation. Average values and interpretations. As a result, the logarithmic module is practical, effective, and can increase value. The validation of material experts and math teachers assessed 92.35% and 91.45% in the very good category. Student assessment of the module is 95.81%, a very good category. Post-test learning outcomes use the 90.28 module, and those that do not use the 68.40 module.
PRIMARY SCHOOL EDUCATION LEVEL EVALUATION OF THE WEDNESDAY READING MOVEMENT (GERABA) PROGRAMME

This study aims to analyze the implementation of the GERABA (Wednesday Reading Movement) program, supporting factors as well as inhibiting factors and input as improvements to the program. This type of research uses descriptive qualitative by applying the Context, Input, Process and Product (CIPP) evaluation model. The subjects in this study were school principals and teachers who were involved in implementing the Wednesday Reading Movement (GERABA) program at Sarakan 2 Public Elementary School. Data were collected by means of observation, interviews, and document study. The results of the context research analysis show that the implementation of the GERABA program at SD Negeri Sarakan 2 which is carried out routinely every Wednesday has not been able to increase students' interest in reading, while the input by the facilities and infrastructure is considered inadequate. In the process component which includes retelling up to the library visit it is still difficult to do, and in the product component the expected output has not been optimally achieved.
“I GOT STUCK NOT ONLY IN THE FIRST ESSAY”: A NARRATIVE INQUIRY ON STUDENTS’ WRITING DIFFICULTIES

Writing, one of the language skills, seems to be the most difficult skill for students to master. There are five aspects used to evaluate students’ writing abilities: content, organization, vocabulary, language use, and mechanics. This current narrative inquiry research aims to find out students’ difficulties in writing expository essays, the factors that cause them to have difficulties, and the strategies they use to overcome them. The data of this research were taken from the students taking Writing Expository and Argumentative Essays course in the English Department of Widya Mandala Surabaya Catholic University. The data of this study were collected from interviews, observations, and documents. Three participants with middle-achievement levels were interviewed in three interview sessions, and observations in the writing class were conducted two times. Besides, two essays of each participant were analyzed.
NILAI EDUKASI DAN BUDAYA DALAM SYAIR-SYAIR KERAJAAN BIMA

Abstract: Educational and Cultural Values in the Poems of the Kingdom ofBima. This study aims to: 1) examine the educational value contained in thepoems of the Bima Kingdom; and 2) examine the cultural values contained in thepoems of the Bima Kingdom. This research is a qualitative research using aqualitative descriptive research design. The subject of this research is the poetryof the Kingdom of Bima, while the object of research is the educational andcultural values contained in these poems. The data analysis model used in thisstudy adopts an interactive data analysis model which consists of four activitystreams namely data collection, data reduction, data presentation, and drawingconclusions. The results of this study indicate that there are various educationaland cultural values in the poems of the Bima Kingdom.
BENTUK PERUBAHAN FONOLOGIS DALAM BERKOMUNIKASI VIA WHATSAPP MAHASISWA UNIVERSITAS MUHAMMADIYAH MAKASSAR

Forms of Phonological Changes in Communicating Via Whatsapp Universitas Muhammadiyah Makassar Students. This study aims to describe the form of phoneme changes, addition of phonemes, and omission of phonemes for students of the Muhammadiyah University of Makassar, especially the 2017 Indonesian Language and Literature Education Study Program when communicating via WhatsApp. This research is descriptive qualitative. The results showed that the form of phonological changes that occurred included: phoneme changes (a) vowel phoneme /ai/ to /e/. (b) the phoneme /u/ becomes /o/. Error adding phonemes (a) adding phonemes /g/.(b) addition of the phoneme /t/. (c) addition of the phoneme /h/. Phoneme omission error (a) omission of phoneme /h/. (b) omission of the vowel phoneme /a/.
Bigisayarlı Görü Tabanlı AutoML Platformu

The rapid increase in data production, thanks to technological developments and scientific research, leads to the development of Machine Learning (ML) and similar new data analysis tools. It was announced that Amazon Web Services (AWS), a cloud service provider, stored 500EB of data in 2021 [1]. ML is an alternative to traditional engineering methods and does not require field knowledge of the problem to obtain a solution. However, the implementation of ML Algorithms can be complex depending on the content of the data set, and expert knowledge is the most important factor to use these algorithms effectively. Various methods have been developed to find a solution to this problem. There are many different areas and problems that machine learning can be applied to. We have limited our research to problems that can be solved using computer vision and AutoML. We have used AutoML and computer vision-based solutions to solve object classification, detection and segmentation problems. Our goal is to develop a platform that will work without the intervention of any expert. Users can load their datasets, choose the method they want, and train their models according to the problem they choose without any other intervention. After the training process is over, they can use their models in real time by transferring them over the platform in real time with their own hardware.
Effects of Individual and Contextual Dimensions on an Aggregate Measure of Cybervictimization

ABSTRACTCybervictimization is a significant challenge and increasing concern. This study explored the predictors of an aggregate measure of six different types of cybervictimization, incorporating property (online consumer fraud, online identity theft), interpersonal (cyberbullying and cyberstalking), as well as phishing and malware infection crimes. An online survey was self-administered to 726 individuals, measuring sociodemographic variables and routine activity variables, stemming from Routine Activities Theory (RAT). Of the 726 individuals, 440 were already victims of at least one cybercrime. Communicating or giving personal information to unknown individuals doubled the likelihood of being victimized online. Education increased the likelihood of victimization, while higher income was associated with a lower likelihood of online victimization. These results are discussed in relation to the RAT framework and existing empirical studies that have applied it to explain online victimization.KEYWORDS: Cybervictimizationaggregate measureRoutine Activities TheorySurvey Disclosure statementNo potential conflict of interest was reported by the author(s).Additional informationFundingThis work was partially financed by national funds through the Foundation for Science and Technology (FCT) within the framework of the CIEC (Research Center for Child Studies of the University of Minho) projects under the references UIDB/00317/2020 and UIDP/00317/2020.
The Influence of Parenting Patterns on Student Learning Motivation at MTs Fadhilah Pekanbaru

This research is motivated by the phenomenon of low student motivation caused by the parents' parenting role. This study aims to determine whether there is an influence of parenting style on students' learning motivation at MTS Fadhilah Pekanbaru. This study uses a quantitative descriptive method, where the data collection instrument used is a questionnaire with a total of 30 item statement items distributed to 51 respondents. Based on the results of statistical calculations, Fcount (41.546) Ftable (4.04) means that Ha is accepted. Based on the results of the acquisition linear regression equation, namely Y = 10.828 + 0.609X, it means that if the parenting style (X) has increased by 1, then student learning motivation (Y) has increased by 0.609. So that it can be interpreted from the results of the F test that there is an influence between the X variable on the Y variable, meaning that Ha is accepted, namely: There is an influence of parenting style on student learning motivation at MTS Fadhilah Pekanbaru.
Experimental Design for Computer System Platform Course

The computer system platform course is a comprehensive platform course formed by adjusting and optimizing the content of the relevant basic courses of computer major to meet the requirement of the digital media technology major for the computer basic knowledge. The range and span of course content make its experimental design more challenging. Considering from the aspects of breadth of contents, difficulty degree of experiments, and the rationality of intrinsic logic, we design the experiments covering from operating system to computer network and ensure them relevant and continuous at the same time, so as to realize the goals of promoting students' understanding of key concepts, improving their hands-on ability, guiding their interest, and cultivating their self-learning ability within the limited class time.
SISTEM INFORMASI KEUANGAN PADA BLOOMING FLOWERS KOTA JAMBI

Bouquet rental business is a business in the field of services that is currently developing. Initially the data processing system for leasing is still manual so that it becomes a problem, but along with the increasing number of tenants who make transactions, resulting in greater managed data, thus managing the data by manual method becomes ineffective and inefficient, so as to guarantee accuracy in recording transactions, security in data storage, as well as the accuracy and speed in the presentation of information need to be built a data information system from computer-based bouquets.
ANALISIS KLASIFIKASI KASUS TINDAK PIDANA PENCURIAN DENGAN POHON KEPUTUSAN MENGGUNAKAN ALGORITMA C4.5 (STUDI KASUS POLSEK TELANAIPURA)

Telanaipura Sector Police is the Republic of Indonesia's Police command structure at the sub-district level in Jambi Province. In the criminal investigation department, the telecommunication sector in processing criminal data is still done manually assisted with Microsoft Word so that the processing of the data has not been properly processed in order to carry out data analysis, evaluation and profiling of data on the increasing number and extent of crime. extensively. The aim of reducing crime rates is that it needs to be built web-based applications and tested using WEKA applications to help process and analyze data using data mining techniques using the decision tree method. In analyzing the data using the age, time, place of occurrence, crime decision tree as an attribute of the case and article theft as a class. In making this prediction application, the PHP and HTML programming languages ​​are used. And using databases using MYSQL and in analyzing using Microsoft Excel and WEKA. The data inputted is in the form of data on the offender, violation data and admin data. The attributes that are inputted in the WEKA application are attributes of age, time, place of occurrence, and crime and articles of violation as a class. The output generated from the WEKA application is in the form of rules or rules from the decision tree while the output generated by the web-based prediction interface results in article violation classes and generates reports on the perpetrator's actions, the number of crimes, crimes per period and per violation article. With the Mining Data Prediction Interface Criminal Classification on the Police of the Jambi Telecommunication Sector Using the Decision Tree Method Can Help the Telanaipura Jambi Sector Police in evaluating and profiling criminal offenders.