Reviewerly/exHarmony huggingface dataset:
Online Education at a Modern University: Tools for Interactive Learning

The article substantiates the utility of digital tools and services in interactive learning in the context of distance education.It analyses the capabilities of technical equipment enabling interactive learning (interactive response and assessment systems, interactive panels, testing and voting systems, touch tables, interactive sandbox and interactive floor) and discusses the didactic side of digital tools and services application in learning (online demonstration, simulation, experiment; webinars; visualization tools; testing tools; mind maps and knowledge maps; timelines, word clouds; virtual digital boards, etc.).Finally, the article presents the findings from faculty and student surveys exploring advantages and downsides of the use of digital tools and services for interactive learning.
Proposal of Artificial Intelligence Educational Model Using Active Learning in a Virtual Learning Environment

Artificial Intelligence (AI) is currently one of the fastest-growing areas, but pedagogical research on the design of curriculum and teaching methods for AI education is relatively rare.The article aims to identify techniques and content used in university AI teaching and its pros and cons.Subsequently, it identifies suitable forms of AI teaching for MOOCs, based on the experience and the possibilities of integration into the most modern educational environments.As a result, the article proposes an educational model based on a combination of active learning and a virtual learning environment that supports the distribution of educational content to the broadest possible groups of people interested in AI.At the same time, it describes the requirements and process of integrating the Jupyter notebook microenvironment into an independent web application, which is an essential prerequisite for connecting MOOC and computing server infrastructure.
SELFIE as a Tool for Measuring the Digital Competence of Participants in the Educational Process

There are different approaches to the assessment of the level of digital competence of the population and, in particular, participants of the educational process.Digital competence is considered one of the key competences of every citizen of a modern digital society, which is why the task of developing it to a measurable level is relevant for all educational institutions.The article investigates the results of the pilot implementation of the SELFIE tool developed by the EU in secondary education in Ukraine.The indicators of key areas of SELFIE, the level of confidence in the use of technology by respondents, as well as the positive and negative experiences of survey participants in the implementation of digitalisation in the educational process are studied.Proposals for the future development of the project SELFIE in educational institutions of Ukraine are described.The research uses such methods as analysis of scientific works to interpret key concepts, systematization of information on the use of digital technologies in education, directions of digitalisation of education, explanation of the current state of digital transformation of education and analysis of the results of the SELFIE pilot project survey of participants in Ukraine.The conclusions describe the possibility of increasing the efficiency of measuring digital competence using SELFIE.
Current Challenges to the Digitalization of Higher Education in Ukraine

The article examines the peculiarities of digitalization of the educational process of higher education institutions of Ukraine and reveals the impact of the COVID-19 pandemic.It was found that modern world challenges have become a turning point for rapid innovations in the field of education.In particular, the COVID-19 pandemic created a unique opportunity for the unprepared introduction of digital technologies into the educational process, and with the beginning of the war in Ukraine, the digital format of education became almost the only opportunity to obtain higher education.It is noted that in the conditions of digitization of the educational process, distance education has become more and more widespread, the specialty of which is the provision of educational services through the use of modern information and communication technologies in education.The authors emphasize the advantages of distance learning in higher education institutions of Ukraine, the main ones being: temporal, geographical, psychological, ergonomic ones and others.It is highlighted that the problematic aspects in the process of organizing distance learning are related to: the need for high internal motivation of the student; the problem of quality control of education and academic dishonesty; technical flaws; the problem of student identification; lack of live dialogue with the teacher; lack of digital competences, etc.Based on the analysis of secondary data, the dynamics of processes related to the use of digital distance learning technologies in the conditions of nationwide quarantine are outlined; also analysed are the factors that negatively affect the quality of implementation of digital learning technologies in higher education institutions.It was emphasized that owing to digitalization, the educational process becomes more personalized, mobile, accessible and flexible.The authors analysed the opinions of students, professors and educational management in order to see the chronological development of e-learning all over Ukraine and in a particular city of Ukraine in the period 2020-2022.The general opinion in the dynamics is that the quality of e-learning is improving, however the local trends are that students need to improve self-management skills, they demand more practically-oriented tasks in digital mode which can potentially develop better digital competence to navigate through elaborate e-learning environments and feel more confident in learning as it is.
A Machine Learning Technique for Abstraction of Modules in Legacy System and Assigning them on Multicore Machines Using and Controlling p-threads

Hardware and Software technology has undergone a sea-of-change in recent past. Hardware technology has moved from single-core to multi-core machine, thus capable of executing multi-task at the same time. But traditional software’s (Legacy system) are still in use today in business world. It is not easy to replace them with new software system as they carry loads of knowledge, business value with them. Also, to build new software system by taking the requirements afresh involves lot of resources in terms of skilled human resources, time and financial resources. At last the customer may not have confidence in this new software. Instead of building a new software, an attempt is made to develop a semi-automated methodology by learning about the program itself (machine learning about the program) to abstract the independent modules present in the same abstraction level (implementation level) and recode the legacy program (single threaded program) into multi-threaded parallel program. A case study program is considered and execution time is noted and analyzed for both the original program and reengineered program on a multi-core machine.
Study of Deep Learning-based models for Single Image Super-Resolution

The super-resolution of images has seen remarkable progress, especially with the use of deep learning models.This technique allows having a better-quality image from one or more low-resolution versions.Super-resolution, therefore, aims at enriching a lowresolution image with additional pixel density and high-frequency detail.This paper presents a comprehensive empirical study based on a systematic review of deep learningbased models for single image super-resolution (SISR), exploring the set of techniques offered by deep learning technology and used for SISR.In this paper, we present a global and complete state of the art on deep learning model based on reference metrics (mainly Peak Signal to Noise Ratio -PSNR-and Structural SIMilarity -SSIM-) in the field of computer visualization and image reconstruction.This study was done on several deep learning designs with 90 different models tested on 7 reference datasets in the computer vision domain.Thus, our goal is to present a benchmark to demonstrate the performance and limitations of these models as well as to guide future research in the field of super image resolution to develop efficient algorithms.Moreover, our study covers different neural network architectures (Generative Adversarial Networks -GAN-
Improving Student Academic Performance Through Web Base Learning

&lt;p class="abstrak"&gt;The development of digital technology has triggered changes in the way people learn in various educational institutions, both formal and informal. The development of digital technology has encouraged students to improve their academic performance or learning achievements. Several problems, however, can arise, from the gap in the ability of students to master digital technology, the ability to provide technological infrastructure, the competence of top-level management and the ability of the IT department to determine the success of digitalization. One learning model that can be utilized in physical distancing policy is Web-Based Learning (WBL). WBL is a learning model that can be used without limitation of time, space, and learning resources. WBL was developed by using the Research and Development (RnD) with a 4D (Define, Design, Develop, Disseminate) approach. To develop WBL products, we used the unified modeling language (UML), flowcharts, and context diagrams. The product was tested which included product validity testing, practicality testing, and product effectiveness testing. The testing results showed that the product was valid, practical, and effective to be used as a guide for developing and implementing WBL in order to improve students' academic performance.&lt;/p&gt;
Realization and Control of a Mobile Robot based on a Dynamic Model with the Implementation of Artificial Intelligence

In this paper, a mobile robot (tricycle robot) and its kinematic and dynamic model are presented. Moreover, its simulation and model control are derived. For a mobile robot to be autonomous, it must perform command tasks and perceive the environment. In this context, navigation plays an important role in the interaction of the robot with its environment. It consists in the determination of possible trajectories by the robot to follow a predefined trajectory. To accomplish this task, our approach relies on the dynamic motion of the robot to generate admissible trajectories. The reference trajectory is first constructed based on a predefined trajectory. To eliminate the navigation problem, an optimization problem with constraints, it is necessary to reduce the difference between the predicted trajectory of the robot and the desired trajectory. Moreover, it is possible to control the behaviour of the robot by using a trajectory parameterized with the dynamic model and its control. Finally, the display of experimental results up to the implementation of the object detection.
Integrating Short Conversation and English Conversation Applications to Improve Students’ Speaking Skills

&lt;p class="05IsiAbstrak"&gt;&lt;span lang="EN-US"&gt;This study aims to explain the implementation of using short conversation and English conversation applications and also to describe student participation using this learning model. It employed a qualitative method. Classroom action research was used as the design for both cycles of the study. Planning, carrying out, monitoring, and debriefing were the four stages that make up each cycle. Participants in the study were 39 third-semester students from the Arabic education department at an Islamic university in Central Java, Indonesia, during the academic year 2022/2023. Data collection techniques used observation, pre-test and post-test. The results of this study show that there is an improvement in every cycle of students’ speaking competence using this learning model. They also are active, self-confidence and enthusiastic in joining this speaking class. It is recommended this strategy to overcome students’ difficulties in speaking English. &lt;/span&gt;&lt;/p&gt;
Implementation of Problem-Based Learning Model in Improving Speaking Skills for Part-Time Students at A Higher Education Institution in Semarang

&lt;p&gt;&lt;span lang="EN-US"&gt;The ability to communicate verbally is considered to be one of the important factors for basic language skills. This competency plays a significant role in oral communication. The purpose of this study was to determine whether or not the use of a model called Problem-Based Learning (PBL) might help students enhance their speaking ability. PBL is one of the learning models that can be used in language classes because the focus of the learning model is involving students in the learning process. The PBL model encourages meaningful interactions for the working students who study in part-time class as the special program. Since the students must be trained to practice speaking English. Therefore, speaking competence can be achieved through the activities. Observation and a questionnaire were the two techniques that were used to collect the data. The results showed that the PBL model used by the lecturer in the teaching and learning process that focuses on the discussion to get the alternative solution deeply can make students understand every detail in practicing speaking with real-life issues that require real-life solutions. Thus, this study implied that PBL as a learning model for English subjects was appropriate to make students fluent to communicate in English&lt;/span&gt;&lt;/p&gt;
Design and Build a Tour &amp; Travel Applicationweb-Based Use Waterfall Method

Design and Build a Web-Based Tour &amp; Travel Application is an application system that helps make it easier for users to process in booking Tour &amp; Travel tickets. This Web-Based Tour &amp; Travel Application System can be accessed by anyone, anywhere, and anytime as long as there is an internet network. Web-Based Tour &amp; Travel Application System is an application built to improve services or services and promotional media for regional tours, making it easier for customers to book tour packages via the internet. This Web-Based Tour &amp; Travel application was created using PHP and MySQL programming languages, and the method used to develop this system is the waterfall method, namely analysis, program design, code and test. With this, Design and Build a Tour &amp; Travel Application can help introduce something or promote the development of a good tourist attraction so that many people are interested in coming to the attraction in the hope that it can help boost other sectors, such as: tourist visits, creative economy, opening up job opportunities, reducing unemployment.
Persuasion Mechanisms in Bilqis Story in Surat An-Naml

Linguistic Argumentation Theory offers new conceptions of meaning. It is one of the novel semantic theories that seek to uncover the logic of language: the internal rules of discourse governing the order of words and their gradual sequence. Relying on this theory, the present paper highlights the argumentative aspects and their persuasive mechanisms in the feminist argumentation found in Bilqis’s speech. It sheds light on the objectives of this argumentation, the contexts in which it occurs, and what distinguishes it from other types of argumentation. The paper paid attention to the argumentative discourse used by Bilqis and attempted to deconstruct the argumentative structures it is made up of. It highlighted some of her personal qualities, namely reason and good governance. It observed a shift in discourse levels. While Bilqis was the one directing the discourse, especially in the first section when she was the Queen, she seemed to be the weakest link in the second section; her speech was characterized by gentleness and leniency.
Strengthening of the reading and writing processes through frame animation

Building knowledge involves teaching methods accompanied by strategies, for education these components are necessary and complement each other, one of these methods are the literacy processes that are combined with different types of practices to develop properly; the purpose of this research was to strengthen these literacy processes through animation by photogram, for this a qualitative approach was developed under an action research design, where collecting information was mediated by observation, tests and didactic sequence.
Mind the Knowledge Gap: A Survey of Knowledge-enhanced Dialogue Systems

Many dialogue systems (DSs) lack characteristics humans have, such as emotion perception, factuality, and informativeness. Enhancing DSs with knowledge alleviates this problem, but, as many ways of doing so exist, keeping track of all proposed methods is difficult. Here, we present the first survey of knowledge-enhanced DSs. We define three categories of systems - internal, external, and hybrid - based on the knowledge they use. We survey the motivation for enhancing DSs with knowledge, used datasets, and methods for knowledge search, knowledge encoding, and knowledge incorporation. Finally, we propose how to improve existing systems based on theories from linguistics and cognitive science.
USING MACHINE LEARNING AND NLP TECHNIQUES FOR EFFICIENT SPAM EMAIL DETECTION

Email spam has become a prevalent issue in recent times, with the growing number of internet users, spam emails are also on the rise. Many individuals use them for illegal and unethical activities such as phishing and fraud. Spammers send dangerous links through spam emails, which can harm our systems and gain access to personal information. It has become easier for criminals to create fake profiles and email accounts. They often impersonate real individuals in their spam emails, making them difficult to identify. This project aims to identify and detect fraudulent spam messages. The paper will explore the use of machine learning techniques, algorithms, and apply them to data sets. The goal is to select the best methods for maximum precision and accuracy in email spam detection.
Secure and Efficient Anonymous Group Data Sharing by SBIBD Technique in Cloud Environment

In recent decades, group data sharing in cloud systems has been a prominent issue. With the rise in popularity of cloud computing, achieving safe and efficient data exchange in cloud settings is a pressing issue that must be addressed. Furthermore, achieving both anonymity and traceability in the cloud for data exchange is a difficulty. This work focuses on providing anonymous data exchange and storage in the cloud for the same group with good security and efficiency. A unique traceable group data sharing strategy is developed to allow anonymous multiple users in public clouds by leveraging the key agreement and the group signature. On the one hand, group members can communicate anonymously with regard to the group signature, and on the other hand, group members can track the anonymous members, chat within the group, store and share for secure instant access and updates.
Pendampingan Penyusunan Perangkat Pembelajaran Daring dan Luring Bagi Mahasiswa Fakultas Tarbiyah dan Ilmu Keguruan Universitas Islam Negeri Imam Bonjol Padang

This service activity aims to equip primary teacher education students who will carry out practical field experience in schools and madrasas on how to compose and develop online and offline learning tools. The ability to develop learning tools is a very important thing that must be mastered by prospective teachers. This mentoring activity method is carried out online using the zoom application with 80 participants. The approach used is the lecture method, meaning that the material is explained first and then followed by a question and answer session. The result of this mentoring activity is that there are still student teacher candidates who will carry out practical field experience who have not been able to develop and develop learning tools, especially developing the latest single sheet lesson plan. Based on the results of these mentoring activities, it can be concluded that: there are still some practical field experience students who do not know the latest policies regarding the use of one-sheet lesson plans in schools and are still unable to prepare lesson plans properly and correctly according to the standard of the learning process. From these conclusions, the authors recommend: to prospective practical field experience students to improve literacy before going to school and to Lecturers who are in charge of Learning Planning courses in conducting comprehensive evaluations
Reading as a Productive Skill and Visual Response as a Reading Strategy

The paper discusses the visual response to text as a reading strategy employed to determine which parts or main ideas of the text the reader focuses on while reading. It starts with an assumption that every reading is a unique experience to which readers bring their previous experiences, cultural and social backgrounds, as well as general or specific knowledge. Therefore, the aim of the paper is to provide a better insight into active reading (Carillo 2017) and present results of a case study that, through visual responses to reading, also addresses text processing in a multimodal setting. The methodological framework comprises a visual response task that requires that the readers draw or sketch a visual interpretation of the text. In this way, sketching in response to reading is used as a complementary component and a visualization tool in the reading process (Wilhelm 1995; Fernandes 2018). Based on the results of the research, it is proposed that visual response to reading can be used to enhance multimodal creativity, and vocabulary acquisition and fully immerse readers in the reading process.
Redesain Ruang Ibadah Masjid Agung Pati Berdasarkan Performa Kenyamanan Termal, Visual, Dan Akustik

Architecture is a place to move comfortably. The mosque is the four worshippers of muslims who should have an optimal level of comfort. This study aims to examine the comfort performance of the prayer room of the Great Mosque of Pati based on applicable theories and standards, then design based on the results of a comfort study to get a prayer room design that meets the comfort criteria for its users. The research was conducted by dividing the prayer room into 16 points. At each point, 3 measurements are carried out, namely thermal, lighting, and noise measurements both in the morning, afternoon, afternoon, and evening. From the measurement results, it is known that the average temperature in the worship room is 27.4 °C, meaning that the temperature is hotter than the standard of comfort (&lt;27 °C). The average exposure is 103.5 lux, meaning the lighting is darker than required (200 lux). The average noise is 61.7 dB, meaning that the situation inside the worship room is noisier than the maximum noise level allowed for the worship space (55 dB).