Reviewerly/exHarmony huggingface dataset:
Innovation in the Context of the Modern Education Model

The phenomenon of innovation and its significance for the modern model of education are subjected to scientific reflection, the semantic transformation of the concept of “innovation” and its modern understanding are analysed. It is noted that “innovation” is closely related to such categories as “new”, “discovery”, “creativity”, and the process of innovation is a challenge to the needs of society. The article defines the content of innovation as a form of objectification of the new, which is assigned the status of a factor of social development, analyses the conditions for successful implementation of innovations and the formation of innovative thinking as a necessary component of modern education. The innovative orientation of thinking is analysed through the prism of social and pedagogical innovation processes and is considered as a property of a modern personality. It is innovative thinking that ensures the success of innovative activities, overcoming stereotypes, openness to learning new things and active use of new, non-standard ways of solving complex problems. As part of the learning process, innovative thinking is carried out at the cognitive and instrumental levels and enables the emergence of an innovative personality as a special quality of a person in the modern world
A Teacher in the Era of the Spread of Artificial Intelligence Applications – Challenges and Difficulties

The tasks of a modern teacher are definitely different from those they had to perform a decade ago. In the era of various changes taking place, constantly developing, but also accompanying digitization in every sphere of life, the role of the teacher takes on a new meaning – flexibility and openness to changes on their part become necessary. Therefore, teachers face new challenges, roles and skills to expand. The conducted considerations are aimed at showing the impact of digitization both on the daily work of the teacher, the performance of professional functions, as well as his relationship with students. The punchline becomes the need to use artificial intelligence tools, as well as the essence and necessity of media literacy of modern teachers, which is reflected in the entire didactic process carried out among students shaped by digitization and the world of media. Among the others, the aim of the work was to determine attitudes of the educators (on the rating scale) about the presented approach to the work.
Meningkatkan Kemampuan Membaca dengan Metode VATK (Visual, Audio, Taktil, Kinestetik) pada Anak Kesulitan Membaca di Sekolah Dasar

Early reading skills are basic skills that children need to have to understand various knowledge. In the learning process that plays an important role is the learning method, the application of the VAKT Method is one method that can be used to improve early reading skills in early grade elementary school students. This study aims to determine the effectiveness of the VAKT method on improving early reading skills in children with reading difficulties in elementary schools. The subjects of this study were 6 students in elementary school. This study used a quasi-experimental design. The sample of this study amounted to 6 people. The treatment given to the subject is the application of the VAKT method. Data analysis methods used with nonparametric techniques (Wilcoxon). The results showed that the application of the VAKT method can improve reading skills in children with reading difficulties in elementary schools, increase initial reading skills in students who have difficulty reading, obtained a Z value of -2.214. The significance value obtains a value of 0.027. judging from the significance value of 0.027&lt;0.05, it means that there is an increase in reading ability with the VATK method (Visual, Audio, Tactile, Kinesthetic) in children with reading difficulties in elementary school
Fostering Learner Autonomy in English as Foreign Language Classroom: Indonesian Context

The study explores current independent learning and how it has evolved in Indonesian English teaching practice. Considering students' versatility in choosing their method of study, autonomous learning may prove to be a promising technique in the practice of teaching English. Learners' motivational tendencies were influenced by a variety of factors, including extrinsic and intrinsic factors. A mixed method was employed in this study. A five-Likert scale questionnaire was distributed to obtain the perspectives of university students and English lecturers in Indonesia concerning the matter of learner autonomy. A group interview with English teachers elicited the perspective on learner autonomy. The result illustrated that most students believed that independent learning would help them become more autonomous, responsible, and aware of what they need to study English. Their motivation to learn English, whether internally or externally, was also increased by autonomous learning. English teachers in Indonesia were positive about fostering independent learners in the EFL classroom, and they believed autonomous learning benefited students making them more confident, active, critical, self-aware, and supportive of the teaching and learning process. Teachers were crucial in directing, monitoring, evaluating, and providing feedback. Several problems must be overcome from actual teaching practices, such as students’ and instructor readiness, variation in students’ knowledge backgrounds, cultural backgrounds, and various student personalities
Development Transformation: Strategy for Economic and Social Progress in Indonesia

Development transformation is often formulated through economic policies in many ways prove success. This can be illustrated, among others, in Singapore, Hong Kong, Australia and other developed countries. Economic policies in these countries are generally formulated conceptually, involving consideration of social and environmental aspects and supported by responsible political mechanisms so that every economic policy can be explained in a transparent, fair manner and accordance with planning principles. In the social aspect, not only are people's aspirations taken into consideration, but also the existence of social institutions (social capital) is also maintained and even their function is improved. Meanwhile, in terms of the environmental aspect, the aspect of the function of preserving natural capital is also given great attention for the benefit of humanity. Of all that, the most important thing is that decision-making is also carried out very cleanly from various lobbying behaviors that have nuances of deficiencies (moral hazard) that are fulfilled by certain interests (vested interests) from mere profits (rent-seeking). In this way, the results of development can be enjoyed by the entire community fairly across (transcending) boundaries of space (inter-region) and time (inter-generation), national development can also be interpreted as deliberate economic, social, and cultural transformation through policies and strategies toward the desired direction. Transformation in economic structure, for example, can be seen through an increase or rapid growth in production in the industrial and service sectors, so that their contribution to national income becomes greater. On the other hand, the contribution of the agricultural sector will become smaller and inversely proportional to the growth of industrialization and economic modernization. Social transformation can be seen through equal access to socio-economic resources, such as education, health, housing, clean water, recreational facilities, and participation in the political decision-making process.
Review of Sentiment Analysis Techniques in Social Networks

This article develops a review of the techniques used for sentiment analysis applied to messages on social networks. Sentiment analysis is a task from the field of Artificial Intelligence known as Natural Language Processing and seeks to detect the sentiment polarity expressed by a person in a short message or in a document. Currently there are three types of techniques from which the proposed sentiment analysis models are derived: Lexicons, traditional machine learning and deep learning – in addition to hybrid approaches that combine at least two of these techniques to improve classification performance. Sentiment analysis is a currently-valid task and its importance has grown along with the massification of social networks, which allow a massive generation of text that can be classified.
An Analysis on Research Trends of Distance Education

The term “Distance Education” (hereafter DE) is gaining popularity amid new global trends in cross-cultural studies of transnational education. The main objective of this article is to identify the academic research development and future research goals in the Distance Education domain using the Scopus database in the last decade (2012–2022). To this end, a bibliometric analysis was performed examining the distribution of publications, the most influential scientific publication venues, the most productive authors, and regions and concluding with an explanation of the keywords co-occurrence in line with the VOSviewer program. The outcomes revealed that the most frequently examined topics in the field of DE can be detected, which focused on distance learning, online teaching, online education, moocs, ICT, and constitute subgenres of the literature under consideration. All in all, the paper can help scholars understand and decipher current trends, keep up with DE research directions, and finally enable them to conduct their future research more effectively.
Involvement of Young People in Extracurricular Activities in General Education Secondary School – an Opportunity for their Balanced Development

The article addresses important issues related to the daily educational experiences of Polish secondary school students. In the first place it focuses on the general concepts conveyed by the title, such as balanced development, extracurricular activities, and volunteering. The theoretical and exploratory purpose as well as practical and implementation related goals have been formulated. The main research problem was defined as follows: What was secondary school students’ involvement in extracurricular activities in school, in the context of their opportunities for balanced development? The study applied a method of diagnostic assessment, a survey technique and a specially designed questionnaire. The survey was conducted in May and June 2022 among 286 secondary school students in the Podkarpackie Region. Majority of the respondents did not engage in extracurricular activities. The students who were involved in some kind of extracurricular activity most often perceived various gains for themselves. The most popular were volunteering projects organised by the school. The students reported that involvement in extracurricular activities most often allowed them to gain knowledge, develop skills and help other people. The gains perceived by the respondents can contribute to their balanced development.
Possibilities of Development of Informatics Thinking of Pupils and Students Using the Model of Subject-Didactic Competences of Teachers

The development and incorporation of the concept of the development of computational thinking into the curriculum of computing subjects is currently one of the major challenges facing the Czech school system. However, such a concept of teaching presupposes a targeted development of content-subject and didactic- pedagogical competencies of teachers necessary for the development of computational thinking in their pupils and students. Thus, the present paper deals with the possibility of defining a general model of subject-matter and didactic competences of teachers supporting the development of computational thinking in pupils and students.
The Common Requirement Modeling Language

CRML (the Common Requirement Modeling Language) is a new language for the formal expression of requirements. The ambition is to release the language as an open standard integrated into the open source modeling and simulation tool OpenModelica and interoperable with the open systems engineering standard SysMLv2. CRML allows to express requirements as multidisciplinary spatiotemporal constraints that can be verified against system design by co-simulating requirements models with behavioral models. Particular attention is paid to the following aspects. The requirements models must be easily legible and sharable between disciplines and stakeholders and must capture realistic constraints on the system, including time-dependent constraints with probabilistic criteria, in recognition of the fact that no constraint can be fulfilled at any time at any cost. The theoretical foundation of the language lies on 4-valued Boolean algebra, set theory and function theory. The coupling of the requirements models to the behavioral models is obtained through the specification of bindings, the automatic generation of Modelica code from the CRML model and use of the FMI and SSP standards. CRML and the proposed methodology is compatible with SysMLv2, forming a comprehensive work-flow and tool-chain encompassing requirement analysis, system design and V&amp;V. The final objective is to facilitate the demonstration of correctness of system behavior against assumptions and requirements by building a workflow around Model-Driven Engineering and Open Standards for automating the creation of verification simulators.
The Silicon Bough

Abstract Like magic wands, words can be spoken through computers to cause effects at a distance. Magic has been suppressed by the rational progress of science to explain the world. Yet in calling upon spiritual intelligences, and in commanding effects to be caused from a distance, computers calculate the programme of mechanical operations that can be relayed at light-speed across the globe. Beyond the ‘digital’ and the ‘postdigital’, the way of writing that has been named the ‘hyperdigital’ is a hyperbolic cybernetic grammar, which, in the sense of a ‘hyperbole’ ( ὑπερβολή ) or excess of signification, exceeds so as more radically to enter and accelerate through the free use of digital computation and communication. Hyperdigital magic is the art of calling upon the divine and heavenly powers that animate the higher or hyperbolic cybernetic grammar of computers to calculate in writing to cause effects at a distance through no known medium of cumulative action. This chapter will, in Section Two, critique James George Frazer’s narrative supersession of magic into science that has previously withheld magic from computers; in Section Three, recall the computational imaginary of Raymond Llull to recommend a post-Leibnizian Trinitarian Ontology of computers; in Section Four, assimilate the Principle of Sufficient Reason to the higher ground of divine and spiritual freedom; and, in Section Five, present a report on the condition of hyperdigital magic, in which the use of computers appears indistinguishable from magic.
Comparing the Semantic Segmentation of High-Resolution Images Using Deep Convolutional Networks: SegNet, HRNet, CSE-HRNet and RCA-FCN

Semantic segmentation is a branch of computer vision, used extensively in image search engines, automated driving, intelligent agriculture, disaster management, and other machine-human interactions. Semantic segmentation aims to predict a label for each pixel from a given label set, according to semantic information. Among the proposed methods and architectures, researchers have focused on deep learning algorithms due to their good feature learning results. Thus, many studies have explored the structure of deep neural networks, especially convolutional neural networks. Most of the modern semantic segmentation models are based on fully convolutional networks (FCN), which first replace the fully connected layers in common classification networks with convolutional layers, getting pixel-level prediction results. After that, a lot of methods are proposed to improve the basic FCN methods results. With the increasing complexity and variety of existing data structures, more powerful neural networks and the development of existing networks are needed. This study aims to segment a high-resolution (HR) image dataset into six separate classes. Here, an overview of some important deep learning architectures will be presented with a focus on methods producing remarkable scores in segmentation metrics such as accuracy and F1-score. Finally, their segmentation results will be discussed and we would see that the methods, which are superior in the overall accuracy and overall F1-score, are not necessarily the best in all classes. Therefore, the results of this paper lead to the point to choose the segmentation algorithm according to the application of segmentation and the importance degree of each class.
A Recommender System for Scientific Resources Based on Recurrent Neural Networks

Over the last few years, online training courses have had a significant increase in the number of participants. However, most web-based educational systems have drawbacks compared to traditional classrooms. On the one hand, the structure and nature of the courses directly affect the number of active participants; on the other hand, it becomes difficult for teachers to guide students in choosing the appropriate learning resource due to the abundance of online learning resources. Students also find it challenging to decide which educational resources to choose according to their condition. The resource recommender system can be used as a Guide tool for educational resource recommendations to students so that these suggestions are tailored to the preferences and needs of each student. In this paper, it was presented a resource recommender system with the help of Bi-LSTM networks. Utilizing this type of structure involves both long-term and short-term interests of the user and, due to the gradual learning property of the system, supports the learners' behavioral changes. It has more appropriate recommendations with a mean accuracy of 0.95 and a loss of 0.19 compared to a similar article.
VR in promotion of territory in the New Normal: empirical and research approaches in the times of crisis

In the New Normal, the most sought-after tools for territory promotion are digital and immersive, and closely intertwined with virtual reality technologies. This research centers on VR projects in Switzerland and Russia, two countries representing contrasting situations in the current tourist and promotion of territory landscape of 2023. The findings of the prior research on the incorporation of immersive VR technology in territory promotion in Switzerland with analogous research conducted in Russia are compared. By examining both theoretical and empirical data, including data analysis and semi-structured interviews with VR project managers in Switzerland and owners/managers in Russia, differences between Switzerland and Russia are identified. A spreading value-centered qualitative approach in Englishand French-language scientific discourse on VR-driven territory promotion is connected with cultural heritage and sustainable consumption and is novel for Russia. Conceptual frameworks in this scientific field are still in their early stages. In Switzerland, the VR projects are more complex and are used as a part of territory and corporate promotion, despite the not value-centered, but economic motivation. In Russia, VR is viewed as the next stage in the evolution of travel viewing and recreation, and it serves as an advertising tool to attract travelers to territory attractions. The ideas of VR-tours are connected with the past, and historical and cultural heritage. The best projects demonstrate the feasibility of combining on-site visits, VR, and sustainability awareness. VR-project in this case is the instrument of saving today’s territory images and brands, and involve audience in active sustainable consumption.
ASSISTANCE OF STUDENT LITERACY ACTIVITIES OF UIN K.H. ABDURRAHMAN WAHID FOR EXTRAORDINARY STUDENTS AT SLB PRI PEKALONGAN

The development of the times and technology has had an impact on the personality and self-esteem of today's youth, such as the loss of social sense and concern for others in society. Therefore, there is literacy assistance for FTIK UIN K.H Abdurrahman Wahid Pekalongan students which aims to foster student awareness in the community, especially education in Special Schools with students with special needs. This community service method includes four stages, namely activity introduction, creativity education, rewarding, and activity documentation. The results of community service show that this activity produces social learning and increases student creativity in creating learning that is appropriate to the situations and conditions of students with special needs. Student creativity created in learning models includes singing learning models, image visualization, origami loving, telling stories, coloring pictures, storytelling, and playing guessing games. Thus, students not only gain new experiences but also ideas and creativity to increase sensitivity in the social environment of society
Extreme Gradent Boosting Method Forecasting Rainfall in Lembang District, West Java Province

Lembang is a notable regional tourism destination that bears considerable significance within the urban area of Bandung. Lembang is widely recognized for its flourishing agricultural sector, which supports a significant community of farmers engaged in the cultivation of fruits, vegetables, and ornamental plants, in addition to its intrinsic scenic beauty. Therefore, the acquisition of precipitation data is of considerable significance for individuals live in the area to maintain their economic endeavors. This study employs daily historical data from the period of 2018 to 2021, wherein approximately 70% of the data is categorized as sparse. This discourse aims to examine the utilization of the Extreme Gradient Boosting (XGboost) technique for predicting rainfall in the Lembang region, specifically emphasizing its effectiveness in handling limited data. The findings indicate that the model, when trained and tested using a 7:3 data split ratio, achieved a mean absolute error (MAE) of 1.834 for training and 4.473 for testing. Additionally, the root mean square error (RMSE) was calculated to be 3.319 for training and 7.637 for testing. The optimal hyperparameters consist of a learning rate of 0.005, a max_depth value of 10, and the utilization of 300 decision trees as n_estimators. The model effectively captures the pattern of sparse time series data and non-rainy days data, as evidenced by its low error metrics. However, it slightly underestimates the rainfall rate on the days with intense precipitation
Spider Web Graphs

Recent results from Chih-Scull show that the ×-homotopy relation on finite graphs can be expressed via a sequence of “spider moves” which shift a single vertex at a time. In this paper we study a “spider web graph” which encodes exactly these spider moves between graph homomorphisms. We show how composition of graph homomorphisms relate to the spider web, study the components of spider webs for bipartite and tree graphs, andfinish by giving an explicit description of the spider web for homomorphisms from a bipartite graph to a star graph.