Reviewerly/exHarmony huggingface dataset:
Distance educational technologies in teaching mathematical disciplines to students of pedagogical universities

The global pandemic of 2020 and 2021 was a turning point for the higher education system. Higher educational institutions should be ready to switch to a distance learning format at any time. This article attempts to discuss the problems that arise in teaching mathematics to students of a pedagogical university when introducing distance educational technologies and recommendations for solving these problems. To that end, a survey was performed conducted at the Faculty of Physics and Mathematics of the Mordovian State Pedagogical University. The research process comprises theoretical methods (studying and analyzing scientific, methodological, and educational literature). As a result, the analysis of modern distance educational technologies for students ' communication with a teacher is presented and the problems of transition from traditional to distance learning are identified. Some recommendations on health care in the distance learning format of mathematical disciplines are highlighted.
Design of a Web-Based Letter Submission Application at the Faculty of Science and Technology, University of Muhammadiyah Sidoarjo

The purpose of this research is to design a website for the submission of a cover letter which is intended to facilitate the making of a cover letter for students of the Faculty of Science and Technology, University of Muhammadiyah Sidoarjo. The method used in building this system is the waterfall method which starts from designing a system to make it easier to build the system and then collects data using observations to the administration of the faculty of science and technology in the form of letters that are often requested by students. The results of this system show that the system is able to run well, students can print letters that have been validated by the faculty admin, and letter files can be stored neatly in the faculty database. From the explanation above, the researcher concludes that this system can help students and admins in processing the submission of cover letters.
AI Wall Building in Empire Earth II

Real-Time Strategy games are among the most popular genres of commercial PC games, and also have widely applicable analogs in the field of Serious Games such as military simulations, city planning, and other forms of simulation involving multi-agent coordination and an underlying economy. One of the core tasks in playing a traditional Real-Time Strategy game is building a base in an effective manner and defending it well. Creating an AI that can construct a successful wall was one of the more challenging areas of development on Empire Earth II, as building a wall requires analysis of the terrain and techniques from computational geometry. An effective wall can hold off enemy troops and keep battles away from the delicate economy inside the base.
Heuristic dialogue technique in the formation of inquiry activity skills of primary school pupils

To teach a younger pupil to ask questions, that is, to be able to ask questions correctly, means to help him develop faster mentally, improve thinking, speech, and communication.That is why the original heuristic dialogue technigue of teaching children to ask cognitive questions to themselves, the teacher, and their friends was applied.In this research based on the analysis of psychological and pedagogical works, educational dialogue is considered as an integral component of personally oriented heuristic learning, as dialogic co-creation, pedagogical interaction of teacher -pupil, pupil -teacher, pupil -pupil, in the process of which there is an informational exchange of meaningful positions of subjects, pupils' inquiry activity is initiated.Pedagogical humanism, tolerance, openness of the teacher, reliance on the positive qualities of the pupil, emphasizing his successes and achievements, rather than mistakes and shortcomings, became an important characteristic of the educational dialogue technique, trying to clarify the expressed position with the help of a series of questions, reasoning of other pupils.Educational technique was created on the basis of theoretical concepts of personally oriented heuristic learning as a system primarily aimed at the development of pupils' cognitive and creative abilities, at the self-realization of their creative potential.First of all, it reflects the essential parameters of heuristic ideas and procedural characteristics.At the same time, the proposed technique of dialogic interaction in teaching schoolchildren to produce their own cognitive questions makes significant additions and corrections to the system of heuristic learning.At the first stage, children were taught the ability to choose questions from a ready-made set of interrogative sentences, which were compiled by the teacher and given to each pupil.The questions mainly required reproductive and reproductive-reconstructive cognitive activity, but already at this stage elements of search-constructive actions were expected.The second stage provided for the organization of pupils' independent preparation of questions for various types of texts, and also required the formation of asking questions that should reflect the creative vision of the object.The third stage completed the main program of teaching primary school pupils the ability to ask questions and included the creation of business and artistic texts by pupils with the help of the teacher based on the prepared questions.The applied diagnostic tool displays the main quality indicators available for measurement and evaluation of questions and descriptive and explanatory texts created with their help.
Improving the Quality of Learning Content for Teachers of SMK Windusari Magelang

Background: The need to increase the mastery of Information and Computer Technology (ICT) in teaching and learning activities is essential and urgent, especially during the COVID-19 pandemic. The PowerPoint application is a popular application for creating learning content, but most teachers are only at the level of "powerpointers". SMK Negeri Windusari, as a vocational high school, requires an increase in the level of its educators, namely those who can increase learning outcomes, one of which is by developing multimedia content based on PowerPoint. This training was in collaboration with UNIMMA Informatics Engineering. It was attended by twenty-four teachers starting with a pre-test and ending with a post-test to measure the level of success. Contribution: Improving the quality of content to support learning outcomes. Method: The training on the use of ICT for learning begins with observation through a pre-test and ends with a presentation of the training results, and then measures progress using a post-test. Results: The results of the training showed that most of the participants showed improvement. Conclusion: This training is expected to be sustainable as a form of support for improving the quality of learning content
Artificial text detection in Russian language: a BERT-based Approach

This paper describes our solution for the RuATD (Russian Artificial Text Detection) competition held within the Dialog 2022 conference. Our approach is based on the idea of transfer learning, using pre-trained RuRoBERTa, RuBERT, RuGPT3, RuGPT2 models. The final solution included Byte-level Byte-Pair Encoding tokenization, and a fine-tuned model RuRoBERTa model. The system got Accuracy metric value of 0.65 and took first place in the multiclass classification task.
Development and Replication of Improved Recommendation Algorithm for Network Representation Learning

With the rapid development of various Internet services, it has become easier to obtain auxiliary information.The application of such auxiliary information to the recommendation algorithm will improve the recommendation performance, but it also brings new ideas to the modeling ability of the recommendation algorithm.Based on the DeepWalk algorithm, this paper proposes a network representation learning recommendation algorithm based on a random walk.The number of wandering sequences is determined according to the importance of the nodes, and the termination probability is set so that the lengths of the wandering sequences are not the same, which is closer to the real situation.At the same time, in the process of node representation learning, the attribute information of the node is merged, the weight of the attribute information of the node is adaptively adjusted, and the distance between the context node and the central node is considered to obtain more accurate recommendation results.Experimental results on 3 data sets show that the algorithm has good recommendation performance and effectively solves the cold start problem.
DIGITAL MEDIA INFORMATION LITERACY PROGRAM FOR TEACHER

The development of Information and Communication Technology (ICT) is very rapid. APJII 2020 data revealed that internet penetration in Indonesia reached 73.7% (196.7 million people) of the entire Indonesian population of 267 million people. This condition allows the dissemination of information so quickly and easily, whether it is positive and useful information or hoaxes. This also has an impact on the world of education. The sophistication of the internet is misunderstood as a learning method. As a result, plagiarism and googling exam answers have become a habit for students. Therefore, the community service team created an information literacy education program for the teacher community. This program aims to introduce the concept of information literacy, how to verify hoaxes, plagiarism and how to write articles for teaching materials. The methods used are webinars, FGDs, writing reflections, and guidance on writing articles for teaching materials. The results of the program evaluation showed an increase in the information literacy skills of the participants. Articles written on teaching materials for teachers are published as an ISBN book with the title "My Class Story".
Research and Re Practice of Oyster Shell Architectural Culture

As early as the northern and Southern Dynasties in China, it has been recorded that in villages near the seashore and rivers, oyster shells have high strength and hardness due to their unique structure, and have anti-theft, noise reduction and sound insulation effects. Therefore, they are often used in the wall construction of residence, also known as “oyster shell house”. However, due to the development of materials and technology in the field of architecture, this local building material gradually disappears in the field of modern architecture. At the same time, with the coastal cities expanding a large number of marine aquaculture for economic development, oysters, known as “milk of the sea”, have become the most important marine products in coastal cities. But as the main food material, oysters also make the waste of oyster shells become more and more serious. Facing the flooding of oyster shells, coastal cities spend a lot of human, material and financial resources every year to alleviate the environmental pollution caused by oyster shells. Therefore, how to deal with a large number of abandoned oyster shells has become a very serious problem in coastal cities. If oyster shell, a natural and renewable green material, can be widely used in product manufacturing as an industrial raw material, it will greatly alleviate the urban pollution caused by oyster shell.
Structural Relationships of Executive Functions with Academic Engagement in Female Students: Mediated Role of Perception of Educational Environment

Structural Relationships of Executive Functions with Academic Engagement in Female Students: Mediated Role of Perception of Educational Environment
Rethinking Cultural Probes in Community Research and Design as Ethnographic Practice

Abstract Understanding social practices as they co-evolve between researcher-community is fundamental in “design and social innovation” where local knowledge, resources, and agency meet to solve wicked problems (Rittel and Webber, Policy Sciences, 4, 155–169, 1973). In this chapter, we seek to explore the traces that researchers and community members leave behind as indexical forms of representation. Contemporary perspectives urge a critical examination of the interplay between design and broader structural and cultural issues (Björgvinsson et al., CoDesign, 8(2–3), 127–144, 2012). Design methods, however, are often chosen arbitrarily reflecting a “toolbox” mentality that potentially misses culturally embedded nuances (Dourish, Implications for design. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems (pp. 541–550), 2006). Cultural probes as part of this “toolbox” are often associated with ethnographic methods, yet were never intended to generate data, whereas ethnography goes beyond data gathering to analyze socio-cultural meaning and practices (Boehner et al., How HCI interprets the probes. In CHI Proceedings Designing for Specific Cultures, 2007). We present two case studies to discuss the use of cultural probes in participatory design as enablers of dialogue in open-ended conversations with communities. We draw on reflexive practices and Manzini’s concept of “diffuse design” and “expert design.” Working in communities can thus become a form of “public ethnography,” an effort to understand and analyze social practices from multiple knowledge perspectives as an ongoing process.
Contextualisation of Direct Instruction Method in Teaching Reading Comprehension Skills: The Literature Review

Direct Instruction is an approach where a teacher becomes the center of the teaching process. This teaching strategy is suitable to teach reading comprehension skills. In the process of using the Direct Instruction, a teacher needs to apply three basic concepts those are delivery, design, and documentation which means the teacher must prepare a creative lesson plan that can support students to adapt to a new concept during the ongoing process, the teacher must monitor students’ development using assessment. Some studies show that this method is effective by combining strategies or media and it can improve students’ skills. However, criticisms also hit this method. Some scholar proves from their study that this method is not always effective and is used only for students with low-level knowledge.&#x0D; Keywords: Direct Instruction, Reading Skills, Reading Comprehension
Direct Mapping and Turtle Ontology for Management of Indonesian Movies Knowledge

Web 2.0 or conventional web has developed into Web 3.0, known as semantic web. Semantic web technology requires ontology as the backbone in understanding a concept of knowledge. In the ontology computing process, the Resource Description Framework (RDF) is used as a framework to define web resources in triple form (subject-predicate-object) so that they can form metadata and describe the information contained on the web. The data used in this study is Indonesian movies data obtained from Kaggle in Comma Separated Values (.csv) format with a total of 242 lines of Indonesian movies data. The data processing is carried out by direct mapping using the help of DB2Triples to generate data from MySQL into RDF in turtle format (.ttl) file. The results shown that direct mapping can be used to map data from RDB to RDF semi-automatically. The data is mapped into the RDF according to the schema on the RDB without input from the user, so the results provided cannot be adjusted to the needs or desires of the user. Furthermore, the RDF generated in the turtle file format has formed classes and individuals automatically, but to be able to be used as a semantic web resource, RDF needs to be processed manually to form data properties and object properties, as well as assigning instance values.
Discovering Student's Preferences of Learning English Speaking Activity during PTM Terbatas at MAN 1 Gresik

Implementation of PTM Terbatas or limited face-to-face meetings affects English learning activities both online and offline. When it comes to learning, selection activity is crucial since it will connect to the learning outcomes. However, the primary objective of this study is to explore the student’s preferences for learning English Speaking skills during PTM Terbatas. This study applied Qualitative research. A series of questionnaires adapted from Huang Huang and Hu has been distributed to 36 students in 12th grade and an interview guideline for the English teacher of MAN 1 Gresik. The result of this study indicated that asking and answering questions with the teacher and playing online games are the most favorable activities. The conclusion is that students prefer asking and answering questions in offline activities while in online activities, they like playing online games more than other online activities.
A training analytics support framework for operational training design

The Training Analytics Support (TAS) framework encompasses a theory and associated analysis stages intended to facilitate training design. Through execution of these stages, the TAS framework will allow training developers to define portfolios tailored to the needs of each trainee, track trainee mastery status across careers, and dynamically adjust portfolios to target ongoing training to specific areas in need of remediation. This document summarizes the six stages of training analytics within the TAS framework and briefly describes the manual and automated methods used to instantiate each stage.
Analyzing Federated Learning Performance in Distributed Edge Scenarios

Federated Learning is a machine learning paradigm where many clients cooperatively train a single centralized model while keeping their data private and decentralized. This novel paradigm imposes many challenges, such as dealing with data that is not independent and identically distributed, spread among multiple clients that are not synchronized and may have limited computing power. These clients are often edge devices such as smartphones and sensors, which form a system that is heterogeneous, highly distributed by nature and difficult to manage. This work proposes an architecture for running federated learning experiments in a distributed edge-like environment. Based on this architecture, a set of experiments are conducted to analyze how the overall system performance is affected by different configuration parameters and varied number of connected clients.
Missing Data Imputation using K-Nearest Neighbour for Software Project Effort Prediction

The accurate of software development effort prediction plays an important role to estimate how much effort should be prepared during the works of a software project so that it can be completed on time and budget. Achieving good prediction accuracy is rely on the quality of data set. Unfortunately, missing data is one of big problem regards to the software effort data set, beside imbalance, noisy and irrelevant problem. Low quality of data set would decrease the performance of prediction model. This study aims to investigating the accuracy of software effort prediction with missing data set by using KNN missing data imputation and List Wise Deletion (LWD) techniques. It was continued by applying stepwise regression with backward elimination for feature selection and implementing two effort prediction methods of Multiple Linear Regression (MLR) and Analogy. The result shows that missing data imputation using KNN and listwise deletion with multiple linear regression approach outperforms the Analogy approach significantly (p&gt;0.05).
Perbandingan Metode Naïve Bayes dan Support Vector Machine Untuk Analisis Sentimen Terhadap Vaksin Astrazeneca di Twitter

The implementation of Covid-19 vaccination in Indonesia turned out to have various pro and contra opinions from the public. The discovery of disinformation and misinformation about vaccines spread through social media content affects a person's absorption of information so which leads to vaccine delays. When in fact, vaccination is one of the biggest and most effective contributions to preventing the Covid-19 pandemic. Astrazeneca is one of the vaccines provided by the Indonesian government. This vaccine used to be controversial amongst the public regarding its halalness and the safety of the vaccine because of the issue of the said vaccine containing swine trypsin. Nowadays Twitter has become a place for users to express their concerns and opinion regarding the Covid-19 vaccine. Data obtained from Twitter will be useful if it is analyzed, one of which is sentiment analysis. In this study, data collection was carried out using the snscrape library with a total of 3105 tweets obtained from the period May to June 31, 2021. The dataset that has been collected is then preprocessed to optimize the data. After passing the preprocessing stage, the data was labeled as tweet class using a lexicon-based dictionary which resulted in 1275 tweets with positive opinin labels and 1830 tweets labeled as negative opinion. The aim of this study is to examines the performance of Naïve Bayes and Support Vector Machine with adding the weighting method TF-IDF (Term Frequency – Inverse Document Frequency). The evaluation results show that the Support Vector Machine has a greater accuracy, precision, recall and f1-score of 87.27%, 90.41%, 77,34% and 83.37% compared to Naïve Bayes which has an accuracy, precision, recall and f1- of 76.81%, 72.40%, 70.70% and 71.52%.
Prediction of Groundwater Level Using Artificial Neural Networks Based on Efficient Input Variables Selection by Partial Mutual Information Algorithm

Prediction of Groundwater Level Using Artificial Neural Networks Based on Efficient Input Variables Selection by Partial Mutual Information Algorithm
The School Administration's View on the Organization of Project Activities: Difficulties and Prospects

The article presents the study of the problems of organizing project activities of primary school students. In the spring of 2022, 62 deputy headmasters of St. Petersburg schools responsible for project activities at the school were interviewed. In the course of the study, problems were classified and the need to create a model for managing the subjects of the educational process when organizing project activities at school was identified. As the results showed, the deputy directors consider social networks and the participation of parents/social partners as experts in joint open events as the most popular forms of interaction within the framework of project activities. Printed and reference materials, according to the respondents, are not popular. Perhaps, when planning the organization of project activities at school, it is worth considering the desired forms of interaction between the subjects-participants in project activities. The methods of empirical research were used: design (questionnaire for deputy school principals responsible for project activities), questionnaire (Google-form), generalization and systematization of the data obtained, quantitative and qualitative analysis. Thus, in the course of the study, the practices of organizing project activities in the schools of St. Petersburg were studied, and the main difficulties in its implementation and possible prospects for improving the quality of education were identified. The analysis of the data obtained showed the need to create a model for managing the subjects of the educational process when organizing project activities at school.