Reviewerly/exHarmony huggingface dataset:
EXPERIENTIAL EDUCATION AND LANGUAGE IMPROVEMENT THROUGH P2P INTERNATIONAL PROJECTS

In order to meet the needs of employers and to make students more employable Laurea University, Finland has developed an “experiential” educational model through project-based learning in English based around real business projects linking theory studied. The programme is a bachelors degree conducted with international exchange students from many different countries (including Turkey, Germany, Romania, Spain, China, Holland, Mexico, Japan, and Italy) within project teams. English is a second language to these students, but it is not known as to how and if their language develops during the programme. The study considers the “experiential” nature of both the programme and the language from a literature perspective then focusing particularly on the learning of English by the students without any formal teaching classes. The students participated within projects for one semester (via an exchange programme) during an academic period from August 2018 to May 2020. There is a quantitative empirical approach (using a written questionnaire) which was qualitative in nature (including open questions) which related to the assessment of the English language learning experience of 29 international exchange students. Their feedback via answers to written questions forms the basis of the study. Findings reveal that such an approach to language learning can be successful and was positive in the sense of flexibility, relevance and enjoyability as well as the easy access and help of technology. The students generally felt their language level had improved through informal discussions and by use of a language app connected to the project work. Also, some students felt that the “learning by doing” (through the projects) improved their language authenticity and application. However, some students felt their language learning would have further increased by the use of a “weekly relevant noun/adjective list” during the project meetings. The research overall shows that some language improvement can be achieved informally within an “experiential” educational model through project-based learning. Additionally, that can be within one semester and by students from different countries with different educational systems.&#x0D; &#x0D; &lt;p&gt; &lt;/p&gt;&lt;p&gt;&lt;strong&gt; Article visualizations:&lt;/strong&gt;&lt;/p&gt;&lt;p&gt;&lt;img src="/-counters-/edu_01/0770/a.php" alt="Hit counter" /&gt;&lt;/p&gt;
REMOTE TEACHING IN RUSSIA UNDER COVID-19 LOCKDOWN: PROS AND CONS

Appears in: INTED2021 Proceedings Publication year: 2021Pages: 1356-1368ISBN: 978-84-09-27666-0ISSN: 2340-1079doi: 10.21125/inted.2021.0314Conference name: 15th International Technology, Education and Development ConferenceDates: 8-9 March, 2021Location: Online Conference
Physics Learning Using Android Assisted Sm and Physics to Improve Problem-Solving Skill

The outcome of this study are: (1) Finding the characteristic of teaching aids in physics learning using Sm and physics based on local culture suba mish.(2) Creating an android app of the teaching aids of Sm and physics based on local culture.(3) The effectiveness of physics learning based on local culture using sm and physics with android to improve problem-solving skills.The research design used in this study is one group pretest-postest design and classified as the Research and Development (R&D) research method that consists of: Define, design, develop, and disseminate steps.This study was held at SMA Negeri 2 Merauke with an empirical test for 250 students, limited test for 32 X MIPA students, and field trials for 64 X MIPA 1 and X MIPA 2 students.The data used in this study are quantitative data obtain from pretest and postest of problem-solving skills and qualitative data obtain from questionnaire.The statistical analysis are using descriptive statistics, N-gain analysis, and MANOVA test with 5% significance level.The results of this study are: (1) SM and physics can load a topic, image and video of impulse and momentum in physics based on local culture soba mish.(2) Sm and Physics teaching aids based on local culture with android is proper to use according to expert, physics teacher and peer approval.(3) Sm and Physics teaching aids based on local culture with android is eefective to improve students problem solving skills due to (MANOVA) statistical test with result less than 0,05.There is a significant difference between students in experimental class and control class.
Relation between Parents' Practices and their Children's Screen Time Spent during the Corona Virus Pandemic

Corona virus (COVID-19) is associated with many risks which including the lockdown of schools, movie theaters, and screen time is increased by children with no physical activities at home. Aim of this study was to explore the relation between mothers 'practices and their children screen time spent during COVID-19 in Sohag City. Subjects: & Method: A cross-sectional study research design was used. A purposive sample of 370 mothers living in Sohag City, Egypt, from 15 June 2020 to 30 June 2020 was used to achieve the aim of the current study. Two tools were used to collect the data in the current study, tool (I): A self-administered questionnaire that consisted of two parts: part (1): Socio-demographic characteristics of parents of children, part (2): Socio-demographic characteristics of children, (II): the Parenting Practices Scale through Google form spreadsheet which presented in Facebook and Whats App groups. Results: it observed that mobile was the most type of screen used between children. and more than half of children were their screen time daily from 6-9 hours, majority of mothers reported that their children's screen time had increased during the COVID-19, and, more than half of mothers' mentioned that they apply rules for their children' screen time. A significant positive correlation was found between mothers' practices and their children's screen time. Conclusion: The majority of mothers' reported an increasing of screen time was spent by the children during the COVID-19. Recommendations: A well-planned health education programs about screen time spent should be introduced to the children at schools and their parents.
Theoretical Preparation of Future Practical Psychologists in the Conditions of Modern Higher Education for the Applied Analysis of Behavior in Primary School Educational Activity

Background and Aim of Study: At present, there is a great need to define and substantiate the scientific provisions of a holistic system of training the future specialist for the applied analysis of student’s behavior in primary school’s educational activities. In our view, there are not enough theoretical and practical materials to prepare a future psychologist in elementary school. The aim of the study: to substantiate the system of preparation of future practical psychologists for the applied analysis of behavior in primary school educational activity. Material and Methods: In the study, the following general scientific methods were used: analysis, synthesis, comparison, generalization. Results: Theoretical knowledge in the educational psychology and pedagogical disciplines not only influence the thinking of the future specialist to master a logically organized specific class of ideal objects of psychology, their properties, relationships and changes, but also enable the immanent unfolding of the content, as the starting point of the movement of thought in the practical point of motion. Conclusions: Requirements for the content of education of practical psychologists have been updated. Conceptual bases development of self-design of future practical psychologist’s professional activity, creation and substantiation of his personality and definition of basic characteristics of his activity, development of self-realization of personality of psychologist’s practice in professional activity will allow them to successfully carry out the process of preparation of specialist in applied analysis of problems of behavior of elementary school students.
Relationship between covert attention and eye movements during observation of natural scenes

The purpose of this study is to determine whether microsaccades and pupil diameter can be used to estimate human covert attention when subjects are observing natural scenes. In this experiment, natural images were presented, and eye movements and pupil responses were measured. The analysis focused on microsaccades and gaze time. As a result, the histogram at the angle of microsaccades showed that microsaccades may be attracted to the object of interest. In addition, the rank of the objects of interest was not proportional to the gaze time. This indicates that the factor determining the rank of the objects of interest did not depend on the gaze time.
MODEL OF BLENDING VIRTUAL AND TRADITIONAL CLASSROOMS IN SCHOOLS (FROM PRESCHOOL TO HIGH SCHOOL)

We live in times of rapid development of information technologies. In recent months, the unexpected COVID-19 crisis has indisputably demonstrated the importance of information and communication technologies (ICT) in education. However, not only can technologies enable the continuation of learning when students are not together in a physical classroom, but they can also benefit learning, participation, creativity and communication when used in the traditional classroom. This paper will focus on the definition of blended learning and will present some recent findings that reveal why blended learning can be beneficial in the traditional classroom. The implementation of a blended learning model combining elements from traditional and virtual classrooms will be described and discussed. The model is applicable in all stages of school education – from preschool all the way through high school. It combines face-to-face, in-person communication and collaboration in the traditional classroom with remote video-conference live communication and interactive content. Usually, during traditional classes, the students interact from their physical classroom environment with a remote guest teacher online through a virtual classroom. They use videoconferencing to interact directly with the virtual teacher. Thus, they can ask and answer questions, participate in quizzes, etc. Moreover, the virtual teacher uses online tools to visualize and demonstrate learning content, which supports the perception and assimilation of new information. The entire interaction is facilitated by the students‘ main teacher on-site and usually continues with offline practical tasks or educational games to enhance and consolidate new knowledge and skills.In the winter of 2018, 87 preschool- and schoolteachers from Europe and Asia were trained to apply this model in their classrooms. They were also involved as participants in similar interactions with a remote guest lecturer in the virtual classroom and a lecturer on-site. Afterwards, they completed a survey to share their opinions about the application, its benefits and the resources needed to implement the blended learning model. The results showed that the respondents find a great variety of options for application of the blended model in any subject area. They see its potential to support real-life learning, to increase student motivation and engagement, and to improve the students‘ communication skills not only in their native language but also in other languages. What respondents think they need most is equipment, connectivity and teacher training. The teachers acknowledge the importance of blended learning as they see school as one of the places where children should have opportunities to acquire skills on how to use technologies as well as how to avoid online risks.
TEACHING SPEAKING SKILLS BY USING AUDIOLINGUAL METHOD WITH ORAI APPLICATION APPLICATION

We are social creatures and are required to always communicate well,. Therefore, speaking is the most important skill among the other four skills. Especially global speaking skills in English. Speaking skills provide important benefits, not only for speakers but also for listeners, because the ability to combine words into meaningful sentences reflects thoughts, opinions and feelings. Meanwhile, the benefit for the listener is to use the speaker as motivation to continue learning speaking skills for better communication. There are 5 difficulties of speaking skills: 1. (‘not being brave to speak’, ‘not being confident to speak’, 2. (‘not used to talking in class’), 3. (‘being afraid to speaking’) , and 4. (‘difficult to express words or sentences’) which had one cause: being afraid of making errors. In presenting English, especially speaking skills, teachers must be creative in choosing materials, methods and technology that can attract students' attention. Teachers need to manipulate or use a variety of techniques to help the teaching and learning process. Descriptive qualitative research is the type of this research. This research is a descriptive qualitative research that focuses on the audiolingual method and Orai application to teach English speaking skills. It describes the method and technology used by the teacher to teach English speaking skills
A Fast Reduction and Denoising Method of Scattered Point Cloud Data Based on Spherical Model

Aiming at the problems of high complexity, long computing time and high hardware requirements of common point cloud reduction and denoising algorithms, a fast point cloud data reduction and denoising method based on ball model is designed. The method of building the sphere model and including the scattered point cloud model of 3D object in the sphere model is introduced. The coding and sorting of the vertebral body region in the sphere and the distribution strategy of each coordinate point is discussed. The different distribution of point clouds in each cone region and the algorithm of data reduction and denoising is studied. A method to transform the scattered point cloud model of 3D object from spherical coordinate to rectangular coordinate is presented. Experimental simulation and analysis show that the method proposed in this paper can simplify and denoise the scattered point cloud at the same time, and the algorithm is simple, with low requirements for the hardware system. This algorithm is more suitable for embedded system operation.
Data compression for DNN weighting coefficients using layer adaptive quantization

It is widely known that deep learning using a deep neural network (DNN) provides high performance in the fields of image recognition and image generation. On the other hand, DNN is composed of a huge number of filters, and the amount of information to express the filter coefficients becomes very large. In this paper, we propose a new method to reduce the amount of information for expressing DNN by adaptively using linear quantization and Lloyd-Max quantization for the weighting coefficients that compose DNN. As a result of the simulation experiments, it was found that the amount of information representing the DNN designed by CIFAR-10 and CIFAR100 can be reduced by up to 1/80 and 1/9, respectively, while maintaining the recognition accuracy.
Avaliação de Modelos de Redes Neurais Recorrentes para Anonimização de Textos em Português

Currently, there are several approaches to provide anonymity on the Internet. However, one can still identify anonymous users through their writing style. With the advances in neural network and natural language processing research, the success of a classiﬁer when accurately identify the author of a text is growing. On the other hand, new approaches that use recurrent neural networks for automatic generation of obfuscated texts have also arisen to ﬁght anonymity adversaries. In this work, we evaluate two approaches that use neural networks to generate obfuscated texts. In our experiments, we compared the efﬁciency of both techniques when removing the stylistic attributes of a text and preserving its original semantics. Our results show a trade-off between the obfuscation level and the text semantics.
Design of Variable Potential Field for Dynamic Obstacle Avoidance of Mobile Robots

This paper presents the design of a variable potential field for dynamic obstacle avoidance by mobile robots. In this scheme, the RPF (Repulsive Potential Field) for obstacle avoidance has a different magnitude in each direction based on the angle between a goal and an obstacle, unlike a conventional RPF in which the magnitude is the same in each direction. Conventional potential field designs for path planning use scaling parameters of the potential field as fixed values. Therefore, the local minimum problem occurs because of which the robot cannot reach its destination. This is because of the obstacle in the approach to the destination due to repulsive forces in all directions around the potential field. Similarly, studies on existing potential field designs for avoiding dynamic obstacles have used methods such as fixed obstacles by designing only the location of the dynamic obstacles in the current step. Therefore, a collision is inevitable when the dynamic obstacle moves faster than the robot. Thus, in this study, the scaling parameters of the RPF were designed using variable values depending on the locations of the obstacle and destination. In addition, a new field design was developed for obstacle avoidance considering the speeds of dynamic obstacles. The experimental results proved that a potential field could be effectively designed for avoiding dynamic obstacles and those near the destination.
Class and Instance Equivalences in the Web of Linked Data: Distribution and Graph Structure

The Web of Linked Open Data (LOD) is a decentralized effort in publishing datasets using a set of conventions to make them accesssible, notably thought RDF and SPARQL. Links across nodes in published datasets are thus critical in getting value for the LOD cloud as a collective effort. Connectivity among the datasets can occur through these links. Equivalence relationship is one of the fundamental links that connects different schemas or datasets, and is used to assert either class or instance equivalence. In this article, we report an empirical study on the equivalences found in over 59 million triples from datasets accessible via SPARQL endpoints in open source data portals. Metrics from graph analysis have been used to examine the relationships between repositories and determine their relative importance as well as their ability to facilitate knowledge discovery.
Detecting Hateful Content on Social Media: A Survey

Spreading hatred over social media is a growing menace. Whether in the form of discrimination, cyberbullying or trolls, malicious posts have pestered users throughout the globe. To overcome this nuisance, an automated hate text detector has almost become a necessity. Despite a few inherent limitations that hate speech detection has, there is work going on in this field,andthe scope for progress remains. Besides various techniques used in the state-of-the-art, this paper extends a precis over outcomes of the latest experiments in the field. The most recent and updated approaches used in the field along with the limitations, positives of each approach and latest techniques used in the field of hate speech detection are discussed in this paper. Keywords: Hate Speech, Natural Language Processing, Neural Networks, Supervised Learning, Social Media Cite this Article: AaniyaGouse, AfaqAlam Khan.Detecting Hateful Content on Social Media: A Survey. Journal of Artificial Intelligence Research & Advances. 2020; 7(3): 1–9p.
EVALUASI DAN PENGEMBANGAN KNOWLEDGE MANAGEMENT SYSTEM MENGGUNAKAN POST-STUDY SYSTEM USABILITY QUESTIONNAIRE (PSSUQ)

Human resources are the most important asset as the main determinant of the company's success. Therefore, efforts to improve the effectiveness and performance of employees in a company are one of the important factors in improving company performance. This paper discusses how to evaluate the Knowledge management system and its development based on the evaluation results. The purpose of this study is to provide suggestions and directions for the development of KMS at PT. King Photo Group. The results of the analysis show that the performance of KMS is still not good at the interface, so it is necessary to focus on the development in that section. The author uses the PSSUQ (Post-Study System Usability Questionnaire) to evaluate and 8 Golden Rules as a reference at the development stage
Evolutionary-genetic method for forecasting ore gold objects

The subject of the research is methods for predicting natural heterogeneities containing mineralized areas of the earth’s interior, accumulations of ore gold, which allow obtaining reliable knowledge about a mineral object, applying effective methods for its assessment, study and practical use. The topic of research is an evolutionary-genetic method for predicting ore gold objects, which was used to assess the prospects for gold content in Eastern Transbaikalia on a scale of 1: 500,000 at the beginning of this century. The purpose of the work is to present a new forecasting method, which boils down to identifying geological formations specialized for gold (geoblocks, strata, horizons, zones), and within them - areas of multiple gold concentration. The research methodology consists in identifying the main stages, geological processes leading to the concentration of gold in the process of long-term evolution of natural facies and formations, clarifying the sources of gold and gold-bearing objects in them. As a result of forecasting, it was found that at high initial gold contents in the initial substrate, one or two stages of its mobilization formation and redistribution are sufficient, at low gold contents, multiple redistribution and concentration are required. The likelihood of the industrial and larger-scale gold mineralization is directly correlated with the prospects of geological structures for the localization of endogenous mineralization, conditions that exclude the dispersion of matter in the final phase of ore formation, and the number of concentration stages. The method makes it possible to exclude from the perspective huge areas of the central parts of granite-gneiss domes and granite plutons and requires careful attention to mafic blocks that are not exposed according to geophysical data by erosion, as well as to xenoliths and remnants of potentially gold-bearing host rocks among granitoids
Personal archives of V. A. Gorodtsov and the experience of their scientific use (after materials of registration and inquiry of OPI SHM)

Since 1989, documents of the prominent Russian archaeologist Vasiliy A. Gorodtsov are available for scientific studies. Registration of various documents conducted at the Department of Written Sources of the State His- torical Museum (OPI SHM) allows the researchers to analyse and systemize the practice of the scientific usage of the museum’s documentary collection. In the present paper, summary data are presented on the academic belonging of the researchers who studied materials from these archives, the geography of the scientific centres which they represented and analysis of the subjects of the investigations carried out. This study has resulted in sketching the general situation of the historiographic use of documents from V. A. Gorodtsov’s archives and outlining of the presumable directions of the fur- ther examination of the scholar’s archives and, particularly, of the study of the system of the archaeologist’s professional communications and of his ‘creative laboratory’.