Reviewerly/exHarmony huggingface dataset:
Innovative Approaches in Citizenship Education Research: Conceptual Perspectives and Ethical Cautions

This article is devoted to the analysis of innovative approaches in citizenship education research taking into account conceptual perspectives and ethical cautions. The conceptual, axiological, and ethical basis of such innovative frameworks as digital citizenship education and artificial intelligence application for the development of responsible citizenship is elaborated. These innovations revolutionized the theory and practice of citizenship education, causing the use of new approaches and pedagogical methods as well as change in learning environments simultaneously adding new modalities and domains into objectives of citizenship education.
Communications Revolution: from Civilizational Phenomenon to Science Communication Perspectives

In the study, it was possible to carry out an overview of modern theories of communications revolutions and demonstrate their importance in transforming the foundations of the development of the corresponding social architecture, social institutions, including science, etc. In this analysis, we used the methodological approaches of the philosophy of history, communicative philosophy, social and political philosophy, and the philosophy of science. At the same time, the revolutionary scale of changes and the depth of their impact on society lead to the fact that humanity is forced to abandon the naive-romantic attitude to science (to rationalism as such), which was characteristic of the world at the beginning of the 20th century when it seemed that science was able to overcome all troubles and mistakes of both the physical and social world. That is why the current task of philosophy remains the study of the phenomenon of modern science as a communicative phenomenon of the dynamic 21st century. Industry 4.0 is a heuristic methodological framework for understanding the perspectives of civilizational shifts and re-configuration of communicative processes in science communication, taking into account the approaches of technical and public deliberation. We tended to demonstrate the profound polemical nature of the understanding of the revolutionary nature of social changes and the presence of a wide range of typologies of revolutions (scientific, industrial, communications ones).
PEMANFAATAN TEKNOLOGI PERKANTORAN DALAM MENINGKATKAN KETRAMPILAN SISWA SMK PGRI 1 JAKARTA TIMUR

Increasingly sophisticated technology has resulted in the development of system technology in the field of administrative work in various agencies to become more effective and efficient, from light to complex administrative work. However, this must be balanced with abilities and skills that support their development. To face this progress, the world of work must always change. There are 2 things that can be done to meet these demands, namely providing competent human resources in the field of office technology, as well as providing supporting infrastructure. LP3I Jakarta Polytechnic takes part in optimizing students' abilities and skills in forming productive personnel in the field of office technology through community service activities. The aim of this activity is to make the transition to working life safer for vocational school students. The method used is the lecture method, delivery of material and discussion. The result of the service is providing useful provisions such as changing students' mindsets about their soft skills, the importance of understanding technological developments, changing behavior, and increasing knowledge about office machines. The conclusion of this service is that it provides benefits for students to become more confident and ready to compete, as productive workers in the business world. LP3I Polytechnic lecturers can use it as a place to distribute knowledge and knowledge that is beneficial to society.&#x0D; &#x0D; Keywords: Optimization; Office Technology; Knowledge
Resume Content Scoring and Improvement Suggestions Using NLP and Rule-based Techniques

Having a proper resume is very important for undergraduates or fresh graduates to find their dream job. But most of them find it difficult to prepare their resume properly by themselves. It often needs a third party to review the resume to identify missing parts and content improvements of the resume because most of the time candidates make some mistakes. When it comes to resume review systems, most of the systems are based on the recruiter perspective which does not provide any insights for the candidate to improve their resumes. Hence, it is helpful if a proper resume content reviewer is there for candidates to analyze their resumes. This study is focused on developing a model to resume content scoring and suggest missing content based on NLP and rule-based techniques. Two separate approaches were developed and tested for the proposed system and then the comparison of those approaches were carried out through this study.
Designing Landmark-Based STEAM Projects for Cross-Country Math Trail Activities with Augmented Reality and 3D Printing Technologies

The aim of this study was to explore how landmark-based STEAM projects can be created to run cross-country math trails utilizing augmented reality and 3D printing technologies. A study was conducted involving 42 prospective teachers at a teacher education institution. We organized a series of lectures in a spatial geometry course and explored prospective teachers' work. With the help of the GeoGebra classroom, a learning environment has been built. The lectures are held with a team-based project. Data was collected by observing and interviewing prospective teachers as they worked on projects and analyzed products. The findings suggested that prospective teachers successfully applied the geometry theorems they learnt to create 3D models of the chosen landmarks using GeoGebra. These landmarks are linked to topics from the school curriculum in order to produce STEAM-based tasks. A math trail is produced by linking a series of these tasks using Augmented Reality and 3D printing technologies. This trail has the ability to be utilized across nations to learn about each other's cultures while studying mathematics by introducing various landmarks in several locations.
On Realization of Intelligent Decision Making in the Real World: A Foundation Decision Model Perspective

The pervasive uncertainty and dynamic nature of real-world environments present significant challenges for the widespread implementation of machine-driven Intelligent Decision-Making (IDM) systems. Consequently, IDM should possess the ability to continuously acquire new skills and effectively generalize across a broad range of applications. The advancement of Artificial General Intelligence (AGI) that transcends task and application boundaries is critical for enhancing IDM. Recent studies have extensively investigated the Transformer neural architecture as a foundational model for various tasks, including computer vision, natural language processing, and reinforcement learning. We propose that a Foundation Decision Model (FDM) can be developed by formulating diverse decision-making tasks as sequence decoding tasks using the Transformer architecture, offering a promising solution for expanding IDM applications in complex real-world situations. In this paper, we discuss the efficiency and generalization improvements offered by a foundation decision model for IDM and explore its potential applications in multi-agent game AI, production scheduling, and robotics tasks. Lastly, we present a case study demonstrating our FDM implementation, DigitalBrain (DB1) with 1.3 billion parameters, achieving human-level performance in 870 tasks, such as text generation, image captioning, video game playing, robotic control, and traveling salesman problems. As a foundation decision model, DB1 represents an initial step toward more autonomous and efficient real-world IDM applications.
On the issue of methodological reasons for language purism in Internet communications

This article highlights one aspect of the triad “speech – writing – electronic form of speech,” which represents the problem of literacy in Internet communications. The purpose of the work is to point out a number of problems in the form of linguistic purism, the lack of clear terminology in relation to electronic communication, and shortcomings in the methodological and conceptual apparatus applied to the analysis of this linguistic object. The subject of the study is the norms of the Russian language, the object of analysis is fragments of texts containing a linguistic error. The authors proceed from the well-known fact in linguistics that spoken language and written language are different sign systems. It is known that the electronic form of speech is a fixation of the norms of spoken language. Consequently, it is impossible to approach the analysis of this form of speech only with the help of theories suitable for analyzing static text. The article shows that the roots of intolerance towards errors in network communication on the part of folk linguists lie precisely in this. The authors give examples of linguistic errors from different language areas: social networks, news aggregators, fiction, transcripts of oral speech. The linguistic object discussed in the article in the form of an electronic form of speech represents a certain cross-section that gives an up-to-date picture of the linguistic environment, which is informative for linguists. The main conclusion of the article is the need for a practical search for special tools that will limit the cumulative effect of language errors. But to do this, it is necessary to eliminate the one-way textual approach to all language formats. The conclusions of the article can be used to develop a strategy for moderating Internet content.
Guided e-Assessment of Math Proofs with the Halomda Platform

The mode of assessment is one of the most important factors influencing learning. E-assessment usually includes only checking the final answer, thus limiting teacher's ability to check the complete solution, and it does not allow inclusion of math proofs problems that constitute an important part of math content. The e-assessment module of Halomda elearning platform allows assessment of proof problems from different areas of school and high Math, like algebraic identities and inequalities, geometry proofs, trigonometrical identities, analytic geometry, vector algebra, etc. Although eassessment of a proof of a mathematical statement is generally a difficult task, in this paper we show through some working examples how guided e-assessment can be implemented using the Halomda platform.
On the relationship between local affinities of a Boolean function and some types of its degeneracy

Abstract The paper studies the relationships between local affinities of a Boolean function and some notions of its degeneracy (differential degeneracy, algebraic degeneracy, affine splittability). New relations connecting the parameters of local affinities and degeneracies are obtained. Relationships between some types of degeneracy of Boolean functions are found.
Feasibility of Digital-based Flipbook Teaching Materials to Improve Learning Outcomes of Grade V Elementary School Students

Teaching materials are one of the important components in learning. The use of printed teaching materials does not contain complete material so that it makes the low learning outcomes of students. This study aims to analyze the feasibility of digital-based flipbook teaching materials for plate dance floor patterns as a solution to improve student learning outcomes. This research method is Research and Development (RnD) developed with the ADDIE model. The subjects of this study were material experts, digital teaching material experts, teachers and fifth grade students. The method used to collect research data through observation, interviews, and questionnaires were used to obtain assessment data from material experts, digital teaching material experts, students, and teacher responses. The data analysis techniques used are qualitative and quantitative data. The result showed thar the feasibility of digital-based flipbook teaching materials from material experts was 91,5% with a very feasibility category, while the result of the validation of digital teaching material experts were 95% with a very feasibility category. The results of this study indicate that digital-based flipbook teaching materials for plate dance floor patterns are suitable for use in learning dance in elementary schools.
Audio Visual-based DOMAR Media to Improve Second-Grade Elementary School Students' Listening Skills

Limited media and classical teaching patterns used in Indonesian language learning. This results in less effective student learning processes in building language skills. Audio-visual-based DOMAR (Picture Fairy Tales) media was developed based on this background. This research aims to analyze the development process, feasibility, and effectiveness of media in improving the listening skills of class II students. The method in this research is the development method or Research and Development (R&amp;D). The subjects in this research were second-grade elementary school students. The development model in this research is the ADDIE model with the following stages: (1) analysis, (2) design, (3) development, (4) implementation, and (5) evaluation. Data collection consists of observation, interviews, and documentation. Data analysis uses paired sample tests. The results of this development show that the media validation questionnaire is 90% and the material validation questionnaire is 89%, which is included in the very feasible category. In assessing student responses, the average percentage was 89%, and teacher responses were 88% with very good criteria. So, the media developed is very suitable for use in learning Indonesian.
Initial Reading Difficulties in Second-Grade Elementary School Students

Beginning reading is an ability that students must master in elementary school. In the implementation process, students who still have difficulty in beginning reading are sometimes found. These difficulties become an obstacle in the student's learning process because success in mastering reading skills at the initial reading stage will impact the development of subsequent reading skills. This research aims to analyze the types of initial reading difficulties in students, the factors that influence initial reading difficulties in students, and the efforts made by teachers to overcome initial reading difficulties in second-grade elementary school students. This research uses descriptive qualitative methods. Data collection techniques are done through interviews, observation, tests, and documentation. The study results showed that three second-grade students had difficulty reading initially. In research, it is known that the types of initial reading difficulties in students are: (a) not fluent in reading, (b) many errors in reading, (c) difficulty distinguishing similar letters, (d) inability to understand symbols sounds. Factors that influence students' initial reading difficulties are physiological, intellectual, environmental, and psychological factors. Efforts made by teachers to overcome students' initial reading difficulties are: (a) giving assignments to students, (b) providing additional hours after school, (c) preparing reading learning media such as alphabet letter posters, letter cards, and books that support students' initial reading ability, (d) teaching using the alphabet method.
School Literacy Movement Program and Its Impact on Students Reading Interest and Reading Comprehension Skills

This research was motivated by the low interest in reading and students' reading comprehension abilities. The School Literacy Movement was implemented as an effort to improve students' abilities in literacy. The School Literacy Program has the potential to increase students' reading interest and reading comprehension. The school literacy movement program often organizes various interesting activities such as writer's meetings, reading competitions, and book clubs. These activities can stimulate students' interest in reading and help them feel more connected to the world of literacy. This program focuses on teaching literacy skills, including reading comprehension. The aim of this research is to describe the implementation of the School Literacy Movement, the impact on reading interest, and the impact on fourth grade students' reading comprehension abilities. This research uses a qualitative method with a descriptive case study approach. The data collection techniques used were observation, interviews, questionnaires and documentation. The results of this research show that students have implemented the School Literacy Movement. Students' interest in reading has increased and their enthusiasm has increased. Students' reading comprehension abilities have also increased, it is known from tests on reading story texts and answering questions that students are able to understand the contents of the text, find the message of the story, and are able to summarize the story. In terms of reading comprehension, this program also integrates strategies and approaches supported by research to improve students' reading comprehension. Thus, the School Literacy Program can provide a strong foundation for the development of reading skills and better reading comprehension in students.
Exploring Collaborative Culture Sharing Dynamics in Immigrant Families through Digital Crafting and Storytelling

Families strengthen bonds by collectively constructing social identity through sharing stories, language, and culture. For immigrant families, language and culture barriers disrupt the mechanisms for maintaining intergenerational connection. Immigrant grandparents and grandchildren are particularly at risk of disconnect. In this paper, we investigate existing design guidelines using a tool (StoryTapestry) to explore the storytelling and crafting process of South-Asian immigrant grandparents and grandchildren. In this exploration, pairs used culturally-relevant images to create digital visual artifacts that tell their stories. Grandparent-grandchild pairs from 10 South-Asian immigrant families participated in this exploration of how the digital process fosters positive social connection, culture sharing, and co-construction. A thematic analysis revealed how collaborative digital crafting encourages the crossing of language and culture barriers, knowledge sharing, and creativity. We contribute an understanding of interaction dynamics and socio-technical implications of intergenerational and cross-cultural collaboration by demonstrating (1) that collaborative digital crafting can reverse traditional educator and learner roles to create culture sharing opportunities, (2) that grandparents play a central role in maintaining social interaction, (3) that structure can guide grandparent-grandchild pairs to a shared goal, and (4) that flexibility encourages engagement from children. We synthesize ideas from migration and collaboration research, and we discuss how the culture, language, and generational dynamics in our study extend what is known about each of these spaces. Together, our design implications offer insight into building digital tools that promote engagement, knowledge sharing, and collaboration between immigrant grandparents and grandchildren navigating social disconnect post-migration.
STEAM technology as a method of adaptation of foreign students of A.I. Herzen Russian State Pedagogical University in the study of art

The successful process of intercultural adaptation, including during education, depends on effective interpersonal communication, which increases the level of language proficiency, motivation, and promotes interaction of students with representatives of foreign cultural communities. This article is devoted to the study of the specifics of the educational technology STEAM (Science, Technology, Reading + WRiting Engineering, Arts, and Mathematics), which is a fairly new way of teaching university students. Special attention is paid to the problem of adaptation of foreign students to the new socio-cultural environment. The hypothesis is put forward that STEAM technology, through project activities, can help foreign students adapt to modern art courses in Russian universities. The article presents the results of the approbation of an adapted course on contemporary art for foreign students from China. The novelty of the research is connected with the identification of the problems that foreign students face when receiving art education at the A.I. Herzen State Pedagogical University, as well as the proposal of ways to overcome the identified difficulties. It is concluded that the use of STEAM training in the development of a course on the study of contemporary art allows foreign students from China to effectively adapt to the socio-cultural and educational environment of Russia. It is noted that STEAM technology contributes to the successful pedagogical activity of students who have received artistic training abroad.
Information Processes as Part of Communication

To gain insight about the information processes operating in a communication process.
Information Processes

To gain knowledgeknowledge about the way informationinformation is stored in memory.
Utilization of Flight Data Analysis for EBT(Evidence Based Training) Program

EBT has designed and implemented a training program that relies on evidence from events such as Flight Operation Quality Assurance (FOQA), accidents, and incidents specific to each airline. The goal is to enhance the overall skills of the flight crew. This involves assessing the capabilities of individual crew members and, based on the findings, providing additional training to address any shortcomings. To create a training program aligned with the objectives of EBT, this study focused on analyzing data from hard landing incidents in domestic airlines obtained through FOQA events. A practical EBT training program was then developed, specifically targeting adverse weather conditions. The program evaluates landing capabilities, and the results guide the supplementation of any deficiencies in the landing skills of each flight crew member, ultimately aiming to enhance their confidence.
Anomaly Detection of Small Time Series Data Based on Improved Generative Adversarial Networks

Small sample time series anomaly detection, as an important part of time series research, has attracted extensive attention and research in both academia and industry. The superior performance of deep learning for time series anomaly detection is largely due to the large number of training samples. However, the problem of difficult data collection leading to inaccurate modelling is common in practice. The solution to the problem of small-sample problem of anomaly detection on time series data, this paper proposes a small-sample time series data anomaly detection method ADGAN based on adversarial learning, which firstly uses the generative adversarial network as the basic framework with different network structures, in which the generative network integrates the TCN and the self-attention mechanism to achieve better data reconstruction results, and then the single-layer LSTM is used as the discriminative mechanism. The single-layer LSTM is used as the discriminative network, and the model can effectively detect anomalies in small-sample time series data through the improved GAN network structure. The experimental results on the NAB dataset show that this method has certain advantages in improving the detection accuracy and efficiency.