Reviewerly/exHarmony huggingface dataset:
Bibliometric Analysis and Systematic Literature Review on Data Visualization

This study aims to investigate the literature review as a job and explore the research trend of data visualization. This study used various methods to perform a systematic literature review on data visualization. Metadata was abstracted from well-known research databases such as SCOPUS, Google Scholar, and Web of Science. The metadata was used for analysis by VOSviewer, MAXQDA, BibExcel, and Citespace. In conclusion, we discuss the research trend and anticipated future studies on data visualization.
Pengaruh Self Regulated Learning Dan Lingkungan Teman Sebaya Terhadap Hasil Belajar Mata Pelajaran Fikih Kelas Xi Putri Ma Tarbiyatut Tholabah Kranji Paciran Lamongan

The purpose of this study was to determine: 1) students' self-regulated learning (SRL) 2) Students' peer environment 3) student learning outcomes 4) the effect of SRL on student learning outcomes 5) the influence of peer environment on student learning outcomes 6) the influence of SRL and peer environment on student learning outcomes. This study uses quantitative methods, data collection instruments using questionnaires and documentation. This research was conducted at MA Tarbiyatut Tholabah Kranji Paciran Lamongan. Respondents in this study amounted to 59 students. The independent variables of this study were SRL and peer environment, while the dependent variable was learning outcomes. The results of this study indicate that: 1) SRL Students are classified as good. This is evidenced by the results of descriptive analysis which states that the mean &gt; mode (77.71&gt;73). 2) The peer environment of students is quite good. This is evidenced by the value of the results of the descriptive analysis mean &gt; mode (76.42&gt;70). 3) Student learning outcomes are classified as Complete. This can be proven from the results of descriptive statistical analysis Mean &gt; KKM (86.00&gt; 70). 4) there is no significant effect of SRL on learning outcomes. This is evidenced by the value of t count &lt; t table (1.074 &lt; 1.672) and the value of sig. P-value is 0.287 &gt; 0.05. The percentage of the influence of SRL on student learning outcomes is 2%. 5) There is a significant influence of peer environment on learning outcomes. This is evidenced by the value of t count &gt; t tabel (4.267 &gt; 1.672), and the value of sig. P-value is 0.000&lt;0.05. The percentage of peer environment influence on learning outcomes is 24.2%. 6) There is a significant effect of SRL and peer environment on learning outcomes. This is evidenced by the value of F count &gt; F tabel (9.183&gt;3.16), and the value of Sig. or P-Value &lt; 0.05 (0.000&lt;0.05). The percentage of the influence of SRL and peer environment on student learning outcomes is 24.7%, while the remaining 75.3% is determined by other variables outside the study.
Health Records Management in Trust Model Blockchain-Based

This study presents the application of Blockchain in e-health and proposes a trust model to guarantee the privacy of data patients, the security between the interested parties, and the secure exchange of e-health data. The concepts and structures of data must be more compliant, standardized, and adaptable for interoperability. The exchange of patient data with the eHealth Smart Places (eHSP) explores different types of sources of data, depending on the context, with various types of electronic e-Health Records, several IoT devices, and mobile devices. The data will have to be more granular, consistently aggregated, and support a data structure that allows applying security rules, access, privacy, and data security. The paradigm of patient-centric and the trust model proposed to become the systems security and privacy design oriented to the protection and satisfaction of the patient. At the same time, to share the necessary and sufficient secure data and information between the entities and with the patient with the efficient uses of resources in the system of health.
A Study on Global Citizenship and Global Citizenship Education Competency in Pre-service Teachers

The purpose of this study was to examine the factors influencing global citizenship and global citizenship education competency after identify the relationship between global citizenship education competency and global citizenship in 225 pre-service teachers of Gwangju City. The data were self-reported questionnaires and analyzed with SPSS 12.0 program. As a result of the study, The participants’ global citizenship education competency was a significant relationship in global citizenship. In addition, The significant factors were knowledge, skill, and attitude, which explained 19.6% of global citizenship education competency. Through this, it was found that the higher the level of global citizenship, the higher the level of global citizenship education competency. Therefore, the global citizenship education competency program for pre-service teachers should focus on improving global citizenship, including elements related to knowledge, skills, and attitude.
Proposing Definition and Competency Needs Analysis of Citizen Instructors: Focusing on Lifelong Education in the I Local Community

This study aimed to define the ‘citizen instructor’, who is utilized by local governments to deliver lifelong education with a community-based approach. For Tthe study, a literature review, expert interviews, a Delphi survey, and a needs analysis were conducted to identify citizen instructors' competencies and priorities. The study found that a citizen instructor is someone who can apply knowledge, skills, and experiences, including qualifications, degrees, and career, to help a community through education. The study identified ten competencies and twenty-two sub-competencies that a citizen instructor should possess, including the ability to identify lecture topics and understand teaching designs, select suitable teaching methods, conduct classroom operations, use media, facilitate learning, evaluating evaluate learning, apply and utilize knowledge, engage in continuous self-development, promote community harmony, and contribute to the local community. Based on the needs analysis, the study identified content knowledge, teaching methods, creating a positive learning environment, and developing lesson plans as the top priority sub-competencies for citizen instructors to develop. These findings may be significant for the development of citizen instructor training programs.
The Case for Self-Education. The Self-Help Manuals of the Communication Centre of Scientific Knowledge for Self-Reliance

This paper addresses self-help manuals presenting planning, building and survival knowledge in the form of comic strips. They were designed by the Communication Centre of Scientific Knowledge for Self-Reliance (CCSK) and distributed globally, with a particular focus on India. The CCSK, founded in 1982-83 by architects Yona Friedman and Eda Schaur and funded by the United Nations University (UNU), imagined a multidirectional exchange of different forms of expertise, taking the knowledge and agency of non-professionals into account and aiming to question conventional concepts of the expert. This paper asks how different forms of expertise were acknowledged, constructed, and challenged in the CCSK manuals. It situates Schaur and Friedman’s work within the discourse on self-help in general and on “appropriate technology” and the role of communication media and visualization techniques in development aid in particular. Although the knowledge transfer from “developing countries” to industrialized ones remained largely imaginary, the CCSK contributed to establishing development as a global and mutual learning process, a concept especially advocated by the UNU.
Improvements on Recommender System Based on Mathematical Principles

The main goal of this article is to give optimization methods of the algorithms of the Recommender System in calculation acceleration and accuracy based on mathematical theory.We first introduce the Collaborative Filtering Algorithm and the similarity function used in this algorithm.Both the weakness and the strength of two different mathematical distance used to describe the similarity will be illustrated detailedly in this article.And both nonparametric and parametric methods will be applied to improve it.After that, we introduce BM25 Algorithm in search engines and accommodate it to Recommender System.In this article, we will give the result of performing quantile estimation in Collaborative Filtering Algorithm on the MovieLens Datasets.It is shown that it not only skips the classification process and thus accelerates calculation but also gives accurate recommendation results.
Design Analysis of a UAV for Medical Transport Purposes

The significance and use of UAVs/drones in the healthcare sector has increased drastically since the onset of the COVID-19 Global Pandemic. Hence, we studied the field of UAVs and alongside fabricate our own model, which could help in transport of medicines/medical equipment. Our primary aim is to do a case study about the use of drones in this field and then design a drone according to the findings of the case studies. We’ve used SOLIDWORKS and Ansys for design and analysis. Other applications, control technology, and the principles behind the flight of drone have also been covered.
Generative-AI Pilot for Problem Spaces: Can ChatGPT help develop Scenarios?

Building on our findings presented in our previous series of White Papers, the purpose of this latest White Paper is to investigate the development of Problem Spaces via a Generative-Artificial Intelligence (AI) ‘Pilot’ study. The main research question posed, here, is: ‘Can ChatGPT help develop Scenarios, such as through helping generate the Problem Spaces?’ The problématique is subsequently broken down into a series of different deep-dive sections, thereby yielding further insights into the research work undertaken. Before delving into the main content of this White Paper, some background relating to scenarios and Problem Spaces is first presented to help orientate readers as to the AI-focused discussion that follows. Many of the Generative-AI technologies referenced, such as notably ChatGPT, are very new and therefore continue to be subject to much rapid development and other associated changes. In such circumstances, usual caveats apply as to much being in a condition of substantial flux and several of the insights presented can be expected to morph in their detail over time. --- ARC White Paper (London: Analytic Research Consortium - ARC, March 2023)
INFORMATION AND DIGITAL SKILLS OF PRIMARY SCHOOL PUPILS: ESSENCE, TYPES, AND CONTENT CHARACTERISTICS

The relevance of the study is justified by the fact that all levels of education, in particular primary, direct their activities to the display of information and communication between the participants of the educational process through the use of digital means. This is due to the scientific and technical progress, reforms, cognitive and age needs of younger schoolchildren. According to the State Standard of Primary Education, information and communication competence should be formed in pupils of the 1st grade, in the structure of which information and digital skills are singled out. The purpose of the article is to clarify the essence of the concept of «information and digital skills», to characterize the types and content of information and digital skills of primary school pupils. The following methods were used during the research: studying of regulatory documents and psychological and pedagogical literature, analysis, synthesis, generalization and specification.&#x0D; The article clarifies the essence of the concept of «information and digital skills» as the ability to process digital information, in particular, to communicate online, and to select appropriate ICT tools and algorithms for actions to implement one's own request. The types and content of the information and digital skills of elementary school pupils are characterized by the following aspects: the ability to search for information on the Internet – mastering by younger schoolchildren the ability to quickly and efficiently, using the Global Network, receive answers to their own search queries; the ability to critically evaluate digital data – the ability of a junior high school student to interpret information from Internet sources and realize its correspondence to scientific or social reality; the ability to choose digital tools necessary for the performance of an educational task – the ability of younger schoolchildren to use such computer software and hardware or online tools that make it possible to implement the educational task with the least expenditure of time, effort and resources; the ability to choose and use digital tools for online communication – the ability of younger students to determine which ICT tools will most fully contribute to the realization of the goal of their communicative request, and to use them for learning and in everyday life; the skill of «netiquette» – the ability of younger schoolchildren to behave ethically on the Internet; the ability to create and edit a digital product – the ability of elementary school pupils to produce and make changes to digital files; the ability to behave safely on the Internet – the ability, formed on the basis of knowledge and experience, to perform online activities without harming one's own health, the health of others and financial situation; the ability to independently solve elementary technical problems – the ability of younger schoolchildren to eliminate the simplest inaccuracies in the operation of a computer or smartphone.
Automated Tool for Building Hyperledger Fabric Blockchain Networks Using Ansible

Building a blockchain network is time-consuming and challenging. It requires extensive information technology (IT) knowledge and relevant skills. To simplify this task, global IT companies provide cloud-based blockchain services. In this paper, we proposed a cloud-based construction and management tool called smart blockchain network constructor (SBC) that could allow blockchain developers, operators and enterprises to easily deploy blockchain networks within their infrastructure and save time and cost. SBC employs Hyperledger Fabric, a well-known private blockchain platform. Ansible is an open-source IT automation engine that could support network-wide deployment. Instead of complex and repetitive text commands, SBC provides a user-friendly web interface that allows users to setup, deploy, and interact seamlessly with blockchain networks. To verify its usefulness and convenience, a blockchain network that could conduct food safety checks and an electronic voting decentralized app were built and tested with SBC. The process of blockchain network construction, which involves writing more than ten settings files and executing numerous command lines, can be replaced with simple input and click operations from a graphical user interface. A Hyperledger Fabric channel was used to enable independent and reliable tasks in both food safety and smart election tasks. As a result, an automated system was created to simulate the necessary manual work in constructing blockchain networks. We observed that the proposed automated system dramatically reduced the time consumption of blockchain network construction compared to manual construction. We strongly believe that this system will be highly beneficial to both blockchain operators and developers for their applications built on blockchain technology.
Late-Binding Planning Method to Maximize Authoring Scalability for Immersive Virtual World

Open-world games strongly restrict gaming environment, either because of technical limitations or in-game limitations imposed by game linearity. Hierarchical Task Network (HTN) planning frequently used in simulated virtual world, restricting the plan-space to finite and ensuring decision-making is limited by scalability, especially when high situation variability is desirable. We developed a late-binding planning technique that ensures situational diversity and is still scalable enough to run practical simulation systems. This technique enables any partially ordered set of functionally interrelated events to be defined as composite events, suggesting layered organization. It is a two-level planning, involving inter- and intra-event dimensions for functional forms, which are dynamically channeled into multi-event situations against the common background. We first analyzed the viability of a functional language based on our approach with respect to situational variability and scalability over a constraint language as HTN, and demonstrated its feasibility by implementing a composite scenario.
Analysis of Curriculum Development Needs of Pre-service Teachers for Digital-Based Educational Competency Development

The purpose of this study was to analyze the perceptions and demands of pre-service teachers regarding the development of a digital-based educational competency development curriculum and to draw implications accordingly. An online survey was conducted in this study. The subjects of the survey were prospective teachers who are completing teaching profession courses. The results of the study are as follows. First, it was confirmed that prospective teachers were familiar with utilization of digital devices and digital-based communication and cooperation, but were not yet familiar with new technologies such as programming understanding (computing thinking), big data, and artificial intelligence. Second, pre-service teachers most experienced real-time lecture platforms and online/offline linked classes in university classes. And they agreed that students should develop digital basic literacy through all subject classes. Third, the competencies that prospective teachers most wanted to develop were the selection, production, and utilization of digital-based materials and the vitalization of interaction using digital resources. Fourth, as a result of analyzing the perception of the appropriate teaching and learning method of the subject for the development of digital-based educational competency, the demand for the PBL method was the highest. The conclusions are as follows. First, it is necessary to review ways to open and operate digital-based educational competency training courses for prospective teachers in various levels, such as 2 credits or 3 credits. Second, when developing a curriculum to develop digital-based educational capabilities for prospective teachers, it is necessary to dualize the contents of the curriculum. Third, the subject needs to be operated by using a combination of the PBL (project learning, problem-based learning) method, individual practice, and the lecture method of a professional instructor. Fourth, teacher training institutions need to expand facilities and equipment that can utilize digital platforms, technologies and tools. Since the subjects of this study were limited to a specific region, it is necessary to include subjects from more diverse regions in follow-up studies.
Understanding the Formation of Adolescent Mindset: A Phenomenological Analysis-Based Systems Thinking Research

The purpose of this study was to understand the process of adolescent mindset formation. To achieve this goal, qualitative data on the experiences of adolescent mindset formation were collected, and Giorgi's phenomenological analysis was used to explore the essential structure of mindset formation experiences. The exploratory results yielded 33 units of meaning, 13 subcomponents, and 5 components for the formation of a fixed mindset. For the formation of a growth mindset, 28 units of meaning, 10 subcomponents, and 4 components were derived. Based on these results, an integrated causal loop diagram (CLD) model reflecting systems thinking was constructed for the formation of a fixed mindset and a growth mindset. Ultimately, the integrated CLD for the formation of a fixed mindset consisted of 3 positive feedback loops and 3 negative feedback loops. The integrated CLD for the formation of a growth mindset consisted of 3 positive feedback loops and 2 negative feedback loops. The implications of this study were summarized based on the research findings.
Comparison of Effects of ICT Using Factors on Reading Literacy among Korean and Hong Kong Students

Based on the PISA 2018 data, this paper aims to explore the impact of the variable of ICT use in the PISA test on students" reading literacy and the differences between Korea and Hong Kong. Three questions need to be explored, 1. What are the differences in ICT use between students in Korea and Hong Kong? 2. What is the relationship between ICT use and reading literacy in Korea and Hong Kong? 3. What is the impact of ICT use on reading literacy in Korea and Hong Kong? In this paper, independent sample t-test, correlation analysis, and multiple regression analysis were used as the research methods. (1) The means of most variables were greater in Hong Kong than in Korea, and only ICT application in the classroom (ICTCLASS) was greater in Korea than in Hong Kong; except for ICT availability at home (ICTHOME), all 10 variables were significantly different between the two regions. (2) In the correlation analysis, students in both regions performed well on the variables related to ICT interest and perception, and all three variables, INTICT, COMPICT, and AUTICT, were positively and significantly related to reading literacy. (3) In the multiple regression analysis, both Korean and Hong Kong students showed negative effects on the variables of ICT use in school, social ICT use, and ICT availability in school, and positive effects on the other variables, but Hong Kong students also showed negative effects on the variable of ICT availability at home. Through this analysis, this paper concludes that the focus of improving reading literacy is not on investing more budget to increase ICT applications, but on the need to increase young people"s interest and perception of ICT, and that teachers and parents are essential in guiding ICT applications.
The Mediating Effect of Organizational Memory on Social Media and Hotel Reputation in Jordan

Purpose: This study analyzed the mediating effect of organizational memory on the relationship between social media and hotel reputation in Jordan. Theoretical framework: The study employed the theory of organizational memory to clarify the mediating effect of organizational memory on social media and hotel reputation. It is a theoretical construct that explains how knowledge production, preservation, distribution, and application occur across time in an organization and how the cumulative impact affects the organization's current as well as its planned actions and decisions. Design/methodology/approach: The study surveyed 600 participants from hotels in Amman. They were selected randomly according to Westland’s sampling criteria. They were asked to rate their responses on a seven-point Likert scale. Moreover, the (PLS-SEM) is adopted in this research to analyze the collected data. Findings: The result reflected that the social media significantly influences hotel reputation in Jordan. Besides, social media positively impacts organizational memory and organizational memory positively impacts hotel reputation. It is also noted that organizational memory partially affects the relationship between social media and hotel reputation in Jordan. Research, Practical &amp; Social implications: The results of this study will be a policy recommendation between the department of human resources, regulators, researchers and policy makers. Originality/value: This is the first research in Jordan to address the mediating effect of organizational memory on the relationship between social media and hotel reputation.