Reviewerly/exHarmony huggingface dataset:
Applications of Extended Reality Technologies within Design Pedagogy: A Case Study in Architectural Science

The concept of virtualizing and augmenting realities through technology has evolved from fantasy to feasibility and has advanced how humans are able to visualize and interact with the digital world.Extended realities (XR) often interpret threedimensional space in both realistic and conceptual forms, leveraging the ability of macro and micro scaling of computerized images.The versatility of VR is used in a wide range of disciplines from creative industries to professional practices and as an interactive multi-sensory visualization medium, it can be effectively adopted as a learning tool, used to elevate the experience in the classroom.This paper examines the possibilities of the incorporation of virtual reality, augmented reality, and mixed reality into the post-secondary architectural academic setting through lecture-based education, design pedagogy, project feedback delivery, and enhancement of experiential learning.The paper provides a case study of implementation into models of pedagogy at Canada's largest architecture program, in order to enhance the learning experience both within in-person and online learning contexts.
Essential Characteristics of a Primary School Teacher as a Subject of Creative Pedagogical Activity

The article describes and analyzes three key aspects of the personality of a primary school teacher as a subject of creative pedagogical activity - Requirements for the personality of a modern primary school teacher, subjectivity of a primary school teacher in scientific discourse and activity components as a basis of professional subjectivity of a primary school teacher. The purpose of the article is to summarize the experience of Western and Eastern European scholars on the modern view of the components and activities of the subjectivity of the teacher of this profession in order to increase its didactic and educational effectiveness. It’s proved that the subjectivity of the primary school teacher is defined as a complex functional autonomy of the system, which is formed, developed, built and transformed by him in the process of life, acquisition of pedagogical education and experience of pedagogical activity. Such subject-oriented manifestations of the teacher's personality as activity (ability to conscious self-determination of creative pedagogical activity) are described; productivity (its complex ability, on the one hand, to transform the educational reality in the classroom into a humane educational environment and the student in the subject of creative learning, and on the other - to constant subjective, professional and professional self-development and self-improvement in teaching, improving the results of their activities and themselves as a subject of pedagogical activity.
Study of effectiveness of educational communication in the process of distance learning of agricultural engineers

At the beginning of 2020, due to the rapid and global spread of the Covid-19 pandemic, educational institutions were forced to immediately switch to a purely distance learning form, which has had an ambiguous effect on all the structural elements of the education system.In addition to high-quality fundamental training and mastering the theoretical foundations of engineering calculations, it is no less important for engineering graduates to acquire sustainable skills and abilities to carry out practical activities -experimenting, researching, testing, modeling, etc.Most of the above-mentioned skills in the conditions of regular, full-time education were obtained in the form of scientific circles, laboratory works, practical classes, training and production practices, and the like.With the pandemic and total distance learning, against the background of established communication channels like systems: Moodle; Zoom; Google Classroom service; G Suite for Education, Office 365 Education, communication tools became popular: Skype; Google Meet; Webex Meet; Teams, messengers Viber, WhatsApp, Telegram, etc.That is, for distance learning, a wide range of communication channels are available.However, due to technical reasons, not all of them are equally effective.The purpose of this research: to study the effectiveness of educational communications in the conditions of distance learning at the Mechanical and Technological Faculties.
An Empirical Evaluation of Smart Contract-Based Data Quality Assessment in Ethereum

The data carried by transaction payloads play a crucial role in smart contract-based blockchain systems. Therefore, blockchains should be equipped with mechanisms to control their data quality. In practice, however, such mechanisms are currently missing. While in our previous work we have proposed how data quality controls can be implemented as smart contracts, in this paper we focus specifically on the evaluation of their execution overhead (time and cost). Evaluating this overhead is crucial to understand in which situations the cost of controlling the data quality of transaction payloads can be sustained by a blockchain system. We have implemented in Ethereum two pseudo-real scenarios that cover all the types of data quality controls in blockchains that we defined in our previous work and evaluated for each of them the time and cost overhead. The results show that the overhead of control can be high particularly for controls involving oracles that fetch off-chain data and controls that require to correlate data from different transactions.
Multiple Intelligences of Students in SMAN 1 V Koto Kampung Dalam Padang Pariaman

Multiple Intelligences (MI) is a theory about intelligence that was triggered by Dr. Howard Gardner, a figure in education and psychology. Multiple Intelligences consist of linguistic intelligence, logic-mathematical intelligence, visual-spatial intelligence, gesture intelligence, musical intelligence, interpersonal intelligence, intrapersonal intelligence, naturalist intelligence. Everyone has MI at different levels. Therefore, each teacher should be able to understand the intelligence and abilities of each student well, this is because the conditions of students in the class are different and have different levels of intelligence. This is in accordance with the role of the teacher as a motivator, facilitator, and director. Many benefits can be obtained by knowing the level of MI of students, both for schools and for students themselves. some of the benefits of MI for students and schools, for students if the MI level is known it can increase their self-confidence and help students to choose majors. For schools the level of MI that students have can help teachers focus more on the learning process, helping to group students, can approach students according to the type of intelligence they have. In addition, by knowing the level of MI of students, teachers can develop optimally the potential that exists in students and can choose the right strategy in the learning process. From the results of observations at SMAN 1 V Koto Kampung Dalam Padang Pariaman it can be seen that there is no meaningful relationship between the MI overall and MI partially with the learning outcomes
Conversational Survey Chatbot: User Experience and Perception

The aim of the paper is to explore two directions, one is the use of conversational chatbots for the purpose of data collection, and the other is the analysis of user experience in the usage of chatbots when it comes to various customer services.Regarding survey chatbot, the paper discusses existing obstacles of static online surveys, and through the presented steps of chatbot design, demonstrated the ease of designing and distributing chatbot for research purposes.On the other hand, through the conducted research, which included 200 respondents from the Serbian market, research shows that chatbots are not so widely used (only 44% have used chatbot), and even 88% of respondents would use human rather than Chabot.However, through analysis of existing research that involved other markets, results have shown that most respondents feel more relaxed and have fun when using a chatbot.Still, the main obstacle, in general, is the lack of social capabilities of chatbots.
Robust Multi-Frame Super-Resolution Based on Adaptive Half-Quadratic Function and Local Structure Tensor Weighted BTV

It is difficult to improve image resolution in hardware due to the limitations of technology and too high costs, but most application fields need high resolution images, so super-resolution technology has been produced. This paper mainly uses information redundancy to realize multi-frame super-resolution. In recent years, many researchers have proposed a variety of multi-frame super-resolution methods, but it is very difficult to preserve the image edge and texture details and remove the influence of noise effectively in practical applications. In this paper, a minimum variance method is proposed to select the low resolution images with appropriate quality quickly for super-resolution. The half-quadratic function is used as the loss function to minimize the observation error between the estimated high resolution image and low-resolution images. The function parameter is determined adaptively according to observation errors of each low-resolution image. The combination of a local structure tensor and Bilateral Total Variation (BTV) as image prior knowledge preserves the details of the image and suppresses the noise simultaneously. The experimental results on synthetic data and real data show that our proposed method can better preserve the details of the image than the existing methods.
Design and Implementation of a Tertiary Institution Web-Based Student Complaint Management System

The objective of this work is to design and implementation a tertiary institution Web-based Student ComplaintManagement System.It is no gainsaying that many students face a lot of challenges in tertiary institution due to the fact that complaint registration is difficult.In the case where the complaint registration is not difficult, responses to complaints tend to be quite slow.However, we considered building a system that will allow students make complaints in a much easier manner, and also keep accurate track of complaints made.A computerized complaint management system gives students the ability to air concerns without fear of being punished or penalised.The research methodology adopted for this study is Waterfall Methodology.In the system design, the data flow was modelled to capture the procedures used in the system.The tools used for the development are PHP programming language, JavaScript, Hyper Text Mark-up Language (HTML), Cascading Style Sheet (CSS), and MySQL.The MySQL server application served as the Database Management System (DBMS), while Visual Studio Code application served as the Integrated Development Environment (IDE).The ultimate achievement of this research is a web-based student complaint management software that is very effective and efficient in meeting the project objectives and the same time, user friendly.
Participation Reports help Crossref members drive research further

This article aims to explain the key metadata elements listed in Participation Reports, why it’s important to check them regularly, and how Crossref members can improve their scores. Crossref members register a lot of metadata in Crossref. That metadata is machine-readable, standardized, and then shared across discovery services and author tools. This is important because richer metadata makes content more discoverable and useful to the scholarly community. It’s not always easy to know what metadata Crossref members register in Crossref. This is why Crossref created an easy-to-use tool called Participation Reports to show editors, and researchers the key metadata elements Crossref members register to make their content more useful. The key metadata elements include references and whether they are set to open, ORCID iDs, funding information, Crossmark metadata, licenses, full-text URLs for text-mining, and Similarity Check indexing, as well as abstracts. ROR IDs (Research Organization Registry Identifiers), that identify institutions will be added in the future. This data was always available through the Crossref ’s REST API (Representational State Transfer Application Programming Interface) but is now visualized in Participation Reports. To improve scores, editors should encourage authors to submit ORCIDs in their manuscripts and publishers should register as much metadata as possible to help drive research further.
Positioning of the Moving and Static Contacts of the Switch Machine Based on Double-Layer Mask R-CNN

With the continuous development of rail transit, the maintenance of the switch machine becomes more and more important, and the contact depth of the moving contact and static contact in the switch machine is a key part of it. At present, the manual measurement method is the main measure of contact depth, which has the problems of low efficiency and strong subjectivity. The measurement of contact depth based on machine vision includes two steps: moving and static contact positioning and distance conversion. The positioning result will have an important impact on distance measurement. Therefore, a positioning method for moving and static contact based on double-layer Mask R-CNN (DLM) is proposed in this paper: first, the moving contact is roughly positioned by Mask R-CNN to obtain the predicted target area; second, the subgraph of the target area is preprocessed; finally, the precise positioning is used to determine the precise position of the moving and static contact. The accuracy and robustness of the proposed DLM are verified by the internal image of the switch machine.
IMPACT OF SOCIAL NETWORK SITES IN THE LIFE OF UNIVERSITY STUDENTS: A CASE STUDY OF POKHARA UNIVERSITY, NEPAL

This work analyses the impact of social network sites on the life of a university student in terms of intensity of use, personal life satisfaction, social trust, social expression and physical health.Study is based on close end survey design and consists of one hundred and fifty-four (154) respondents of four constituent campuses of Pokhara University, Nepal.The study uses both descriptive and inferential statistical methods to analyze data, draw conclusions and forward recommendations of the study.Chi-square test is also performed on the identified variables under investigation to calculate association among them.The work summarizes both the positive as well as negative aspects of using social network sites on the life university students that helps to build an understanding of role of technology in their life.Further, this study can serve as a base in identifying the socio-psychological aspects of technology of human life.For universities of under developed countries like Nepal, this can be a vital study in understanding technology and its application in academia.
Perceptions of Learners toward Storytelling as Language Teaching Resource

Malaysian ESL learners often lose interest towards English language in classroom. They were no more attentive and interested in completing work related to English. Conventional method of teaching is always practiced by the teacher to deliver the lesson where after sometimes, it made the process of teaching and learning dull and boring. The aim of this study was to explore the perceptions of learners towards storytelling as language teaching resource. 108 urban pupils were randomly selected to be participated in the study. Survey research method and questionnaire were used to gather data on the learner’s perceptions. The findings from the questionnaire showed high positive feedbacks from the participants about the use of storytelling as language teaching resource. This concluded that storytelling can be used as one of the methods to teach English language in an ESL classroom.
Secure Text Hiding Method in Image Processing using Enhanced MSB Technique

The data hiding is known as a procedure which is used to achieve composite signals by embedding message signals into the host picture. Data hiding approach represents a class of processes which are implemented for embedding data into different formats. In this approach, secret message occurs along with the secret information. The steganography is defined as a process through which information produced from one source can be concealed into other sources. This thesis work presents a novel methodology for image steganography. The tested result demonstrated that the proposed technique shows its supremacy in terms of PSNR and MSE. The PSNR value of proposed approach is increased up to 15 percent in comparison with earlier approach. In comparison with earlier approach, the MSE value of proposed algorithm is decreased up to 10 percent.
A Boosted 3-D PCA Algorithm Based on Efficient Analysis Method

In this paper, we propose a boosted 3-D PCA algorithm based on an efficient analysis method. The proposed method involves three steps that improve image detection. In the first step, the proposed method designs a new analysis method to solve the performance problem caused by data imbalance. In the second step, a parallel cross-validation structure is used to enhance the new analysis method further. We also design a modified AdaBoost algorithm to improve the detector accuracy performance of the new analysis method. In order to verify the performance of this system, we experimented with a benchmark dataset. The results show that the new analysis method is more efficient than other image detection methods.
PENGEMBANGAN MEDIA PEMBELAJARAN INTERAKTIF MATERI FPB DI SEKOLAH DASAR

This study aims to develop a valid and practical interactive instructional media to teach the GCD in elementary schools. This study is the Research and Development, and the reseachers applied the Plomp model consisting of three phases: preliminary research phase, development phase, dan assessment phase.The developed instructional media was validated by 3 experts consisting of media experts and material experts. To test the practicality, the researchers distributed questionnaires to the teacher and students. The data in this study were collected through interviews, observations, and questionnaires. The collected data were then analyzed quantitatively and qualitatively. The developed instructional media was very valid with an average score of 83.96% and was very practical category with an average score of 87.86% from the students and 96.7% from the teachers. Therefore, the interactive instructional media to teach the GCD can be used by elementary students and teachers.
Analisis Metode K-Nearest Neighbors (K-NN) Dan Naive Bayes Dalam Memprediksi Kelulusan Mahasiswa

In this research the author aims to apply the K-NN and Naive Bayes algorithms for predicting student graduation rates at Sekolah Tinggi Pariwisata (STP) Mataram, The comparison of these two methods was carried out because based on several previous studies it was found that K-NN and Naive Bayes are well-known classification methods with a good level of accuracy. But which one has a better accuracy rate than the two algorithms, that's what researchers are trying to do. The output of this application is in the form of information on the prediction of student graduation, whether to graduate on time or not on time. The selection of STP as the research location was carried out because of the imbalance between the entry and exit of students who had completed their studies. Students who enter have a large number, but students who graduate on time according to the provisions are far very small, resulting in accumulation of the high number of students in each period of graduation, so it takes the initial predictions to quickly overcome these problems. Based on the results of designing, implementing, testing, and testing the Student Graduation Prediction Application program using the K-NN and Naive Bayes Methods with the Cross Validation method, the result is an accuracy for the K-NN method of 96.18% and for the Naive Bayes method an accuracy of 91.94% with using the RapideMiner accuracy test. So based on the results of the two tests between the K-NN and Naive Bayes methods which produce the highest accuracy, namely the K-NN method with an accuracy of 96.18%. So it can be concluded that the K-NN method is more feasible to use to predict student graduation
NEEDS ANALYSIS ON ENGLISH MACRO-SKILLS FOR THE TOURISM STUDENTS OF HIGHER EDUCATION

English as international language becomes the bridge between the guests and the host in tourism activities. As the consequence, Indonesia as the country that popular with its tourism potential should prepare its human resource to support the tourism activity for its betterment. One of them is preparing them with English Macro-skill. English macro-skills consist of 4 skills: Reading, Listening, Writing, and Speaking. This research is aiming at analyzing the needs of English Macro-skills for the Tourism Students of Higher Education. Empirical data in this research were collected through questionnaire. The questionnaire was spread trough 100 tourism students of Ambarrukmo Tourism Institute Yogyakarta whose experience in doing internship period. The result found that one skill is above important than the others, some found that all of them are important, or they should be taught integrated. As the findings show, based on the students’ internship experience and the students’ perspective, those 4 English macro-skills are important but they have different frequency of use in the work place. Reading is the most frequently use since they often deal with short functional text, such as announcements and notice. Then it was followed by listening, writing, and speaking.
Strategi Meningkatkan Keterampilan Berbicara Peserta Didik Kelas V Sekolah Dasar Melalui Peningkatan Kecerdasan Interpersonal dan Kepercayaan Diri

As an attempt to improve the quality of education in Indonesia, this study aims to analyze the correlation between interpersonal intelligence (X 1 ) and self-confidence (X 2 ) on the students speaking skills (Y) in grade V elementary school. This study occupied a quantitative approach with correlational techniques. The sample in this study amounted to 105 people. The sample was determined using the random cluster technique. The entire data collection process was carried out before the COVID-19 pandemic, from October to December 2019. From the analysis, it was found that there was a significant positive correlation between interpersonal intelligence and speaking skills with an effective contribution of 44%, and there was a significant positive correlation between self-confidence in speaking skills and an effective contribution of 55.4%. Simultaneously, both of them have a significant positive correlation towards the speaking skills of grade V students. Practically, from this research, teachers are expected to be able to make observations and to improve interpersonal intelligence and self-confidence of students as an effort to improve students' speaking skills.