Reviewerly/exHarmony huggingface dataset:
Fostering Students' Academic Writing Skills: Feedback Model for an AI-enabled Support Environment.

Due to recent advances in natural language processing (NLP), a new generation of digital learning support systems is emerging, which make it possible to analyse the writing quality of texts offering individual, linguistic feedback to writers through various kinds of automated text evaluation. These intelligent tutoring systems (ITS) have to be integrated into existing teaching practices alongside traditional feedback providers (e.g., tutor, peer students). Therefore, this paper explores how academic writing skills of students could be fostered by providing different types of feedback from a tutor, peer students and an ITS. It proposes a feedback model for academic writing in an AI-enabled learning support environment and illustrates the importance of the different feedback providers in an academic writing use case. Through this, the paper aims to contribute to a better understanding of the changing nature of how students' academic writing skills can be fostered in the age of artificial intelligence.
A Study on Effects of Regional Innovation Environment on Regional Development Outcome in 4th Industrial Revolution

It can be said that the 4th industrial revolution is essential for regional development as it has a profound impact on society, economy and business.This 4th industry can innovatively develop the region.Various start-up companies around the world are growing into global companies and there is a lot of interest in wanting to become leaders of these companies.Analysis of society as a whole using big data has been attempted from a different perspective and is becoming an issue.Services founded on the artificial intelligence and Internet of Things are being introduced worldwide.As this paradigm shift is rapidly increasing, the speed of change is rapidly increasing.In order to achieve regional development results, changes in the local innovation environment will have a profound impact.The purpose of this research is to investigate the association between regional growth creation and regional development performance on the regional innovation environment.For questionnaire analysis, SPSS 22.0, a statistical package, was used for basic statistical analysis.Hypothesis testing was performed using the structural equation package Smart PLS 2.0.Factors that determine the regional innovation environment are divided into startup discovery, big data connection, and IOT technology infrastructure creation.A summary of the study follows.First, the discovery of startups had a significant effect on the creation of regional growth.Second, big data linkage had a significant effect on regional growth creation.Third, the establishment of the IOT technology base had a significant effect on the creation of regional growth.Fourth, regional growth creation had a significant effect on regional development performance.
DQ-DPS Data Partition Strategy Based on Distributed Machine Learning

With the expansion of the data scale, machine learning develops from centralized to distributed. Generally, distributed machine learning uses parameter server architecture to train in synchronous mode. At this time, data samples are statically and symmetrically allocated to each computing node according to the batch size. Each worker trains synchronously and iterates until the model converges. However, due to the different number of resources at each compute node in a mixed-load scenario, the traditional data partition strategy is usually to statically configure batch size parameters or require manual setting of batch size parameters, which makes the computational efficiency of distributed machine learning model training operations inefficient, and the data adjustment for each node will have an impact on the accuracy of the model. To solve this problem, on the premise of ensuring the accuracy of the distributed machine learning model training task, this paper proposes an optimal configuration scheme for a batch size of distributed machine learning model training task data: a data partition strategy based on distributed machine learning (DQ-DPS). DQ-DPS solves the problem of low computational efficiency caused by static data partitioning, improves the computational efficiency of distributed machine learning tasks, and ensures the accuracy of distributed machine learning training model. Through a large number of experiments, we have proved the effectiveness of DQ-DPS. Compared with the traditional data partition strategy, DQ-DPS improves the computing efficiency of each training round by 38%.
README file for datasets associated with the project

README file describing the contents of associated data files, and instuctions on how to run scripts.
Developing The Concepts & Strategy of Smart Regional: How to Increase Tourism & Investors (Smart city 4.0)

Smart city 4.0 is a development of the three previously published articles, namely smart city 1.0,2.0 and 3.0. The smart city article that we created is a long process in research, so we have to make it gradually and make it into several parts. Smart city 1.0 and 2.0 we designed a big picture of a smart city and how the maturity level understood. Next, in smart city 3.0, our focus is on how smart education can be applied in collaboration between each educational institution so that a high-quality level of education achieved in the area. In smart city 4.0, we focus on designing a concept that focuses on developing tourists and how to get investors interested in investing. Factors such as culture, infrastructure/facilities, human resource development in the community, safety and comfort, profit sharing, development of tourist attractions, innovation in improving people's lives and many other factors are our main concern in this article. The methods used in smart city 4.0 are PDCA & USEPDASA, which are both appropriate methods for developing a special framework for tourists and investors. The stages in smart city 4.0 are mapping in terms of culture, human resources, facilities, information technology, security and comfort. These divided into two parts: on the side of increasing tourists and the side of increasing investors. The result of smart city 4.0 is a framework to be able to connect all activities in a smart city to generate profits for the area.
GAME INTERAKTIF PADA PEMBELAJARAN BAHASA BALI DI SMA NEGERI 3 AMLAPURA

The implementation of education during the current COVID-19 pandemic has its own challenges for teachers all over the world. The pandemic requires students to study at home, which has its own obstacles for teachers in teaching. Internet-based distance learning has become a trend to carry out online learning. To give students a passion for learning, teachers can provide interesting learning using interactive game-based learning media. Interactive game applications such as Quizziz, Kahoot and Wordwall are applications that provided free of charge and very easy to use. Learning Balinese language at SMA Negeri 3 Amlapura applies the application. As the result, the motivation of students to learn Balinese language has increased and the teachers who teach Balinese language also get a positive response from the students. Keywords: interactive games, learning Balinese language
PEER AND SELF-ASSESSMENT IN TEACHING WRITING OF DESCRIPTIVE TEXT: A CASE OF THE TENTH GRADE STUDENTS OF SMAN 1 RANDUBLATUNG IN THE ACADEMIC YEAR 2021/2022

This research was conducted because it was found that most of the students of SMA N 1 Randublatung had difficulty using the correct grammar, spelling form, and vocabulary. Therefore, peer and self-assessment are used in this study. The main objective of this research is to find out if there is a substantial difference in the mean score of experimental group I, which is taught by peer assessment, and experimental group II, which is taught by self-assessment in teaching writing of descriptive text. The researcher employed a quasi-experimental design with nonequivalent control or comparison group designs in this study. In this quasi-experimental design, there were two groups: the first was the experimental group I, which was assessed by peer assessment. The other one was experimental group II, which was assessed by self-assessment. The results of the post-test scores of both classes using the Mann Whitney test. Sig value or P Value is 0.906. Because of the P value ˃ 0.05, there was no significant difference between the two groups. The answer of the statistical hypothesis there was no significant difference between student learning outcomes applied by peer and self-assessment.
Students’ Motivation in Studying English at STKIP PGRI Lubuk Linggau

Motivation is one of the important factors affecting the success of students in learning.This study was aimed to find out the students' intrinsically or extrinsically motivated in studying English.Survey research was conducted and 48 English students were as the participants.In gathering the data, the researcher delivered the questionnaire.It consists of twenty one statements in which was developed by Vallerand et al. (1992), called Academic Motivation Scale (AMS).It is adapted to the condition and characteristic of Indonesian students.The result of the study indicated that the total mean score of intrinsic motivation is higher than extrinsic motivation 4.38 > 3.66.As the conclusion, the English students of STKIP PGRI Lubuk Linggau had higher intrinsic motivation than extrinsic motivation in learning English.
Micro-controllers, Sunlight, and Educators from Two Continents: The Genesis of Mutually Beneficial Techno-cultural Relations

To showcase the versatility of combining the use of a single-board computer with a microprocessor such as a Raspberry Pi device to access Open Educational Resources (OER) content provided by a Remote Area Community Hotspot for Education and Learning (RACHEL) server, LCDs, printers, and scanners, all of them powered by photovoltaic (PV) technology with energy stored in high energy density and safe LiFePO4 batteries, a group from various Academic Institutions in the United States embarked in the formation of a trans-national team composed of computer scientists, electrical engineers, experienced teachers, and academic administrators, to enable young Rwanda students to enjoy the same amount and quality of teaching of relevant information through versatile digital means as an equivalent group in the USA, but at a substantially reduced cost and sustainable in remote location.
Tratamento temático da informação: análise sobre abordagens e enfoques em artigos científicos da área de Ciência da Informação

This paper deals with subject representation in conceptual and theoretical terms in the context of knowledge organization. It aims to analyze the approaches and stances of the journal articles on the subject representation of information. It is a descriptive study of qualitative and quantitative nature. Its methodology can be also characterized as a bibliographic research, based on collection of bibliographic information from the Brazilian Information Science database (BRAPCI) and the statistical systematization of the results using figures and content analysis. The results show a distribution of papers over the last 10 years in which there is a predominance of approaches on subject representation over its characteristic instruments, processes and products, as well as the theoretical approach in the majority of papers published as scientific journal articles. We concluded that the topic has gradually been consolidated, as shown in many of the titles used for the journal articles.
Use of computer teaching systems in the learning process

Just a few decades ago, books were mostly used as educational media, while posters, various mechanical models, etc. were used as educational visual illustrations. Laboratory experiments for teaching chemistry, physics, biology, etc. were conducted in schools and colleges using real materials. Today the situation is drastically changed and all this has been forgotten. Modern computer teaching technologies are being rapidly introduced in the educational space replacing old tehcnology with hypertexts, e-books and textbooks, tutorials and many other forms and contents.
IB-MVS: An Iterative Algorithm for Deep Multi-View Stereo based on Binary Decisions

We present a novel deep-learning-based method for Multi-View Stereo. Ourmethod estimates high resolution and highly precise depth maps iteratively, bytraversing the continuous space of feasible depth values at each pixel in abinary decision fashion. The decision process leverages a deep-networkarchitecture: this computes a pixelwise binary mask that establishes whethereach pixel actual depth is in front or behind its current iteration individualdepth hypothesis. Moreover, in order to handle occluded regions, at eachiteration the results from different source images are fused using pixelwiseweights estimated by a second network. Thanks to the adopted binary decisionstrategy, which permits an efficient exploration of the depth space, our methodcan handle high resolution images without trading resolution and precision.This sets it apart from most alternative learning-based Multi-View Stereomethods, where the explicit discretization of the depth space requires theprocessing of large cost volumes. We compare our method with state-of-the-artMulti-View Stereo methods on the DTU, Tanks and Temples and the challengingETH3D benchmarks and show competitive results.
초등학교 교사들의 학습부진학생 지도 경험에 대한 인식탐색-코로나19 상황 비대면 수업을 중심으로-

The purpose of this study is to explore the capacity of that can help the academic achievement and emotions of underachiever students, which are increasing due to online classes of COVID-19, and to explore the direction in which school education should go for underachiever students. Seven elementary school were interviewed in this study and the results were analyzed using the NVivo12 program. As a result, 3 subjects, 13 upper categories, and 45 subcategories were derived. Each subject was categorized into the impact of online class, the difficulty of online class and management of underachieving students. The who participated in this study generally recognized the importance and necessity of education for underachievers, but the difficulties in managing students, lack of competence and guidance of parents, and class difficulties and problems in content production, excessive workload, widened learning gaps, changes in life and learning habits, non-cooperation, and not knowing how to teach various underachiever students were pointed out. However, were trying to improve their own problems, such as listening to related training and coaching after school. In addition, it showed that he was thinking and contemplating various areas such as government support necessary for students with poor learning, required qualities of external experts, coaching method and mind education necessary for teachers, and parental education. Based on the research results, suggestions for consideration for underachieving students are as follows. First, institutional support should be provided so that teachers, who can be said to be the subject of student guidance from the teachers perspective, can manage underachiever students well. Second, from the perspective of students, support from outside experts who can replace the vacant positions of parents who are difficult to manage their children due to busy work life to maintain a livelihood, compulsory parental education, and support for external facilities and programs.
Distribution Mismatch Correction for Improved Robustness in Deep Neural Networks

Deep neural networks rely heavily on normalization methods to improve their performance and learning behavior. Although normalization methods spurred the development of increasingly deep and efficient architectures, they also increase the vulnerability with respect to noise and input corruptions. In most applications, however, noise is ubiquitous and diverse; this can often lead to complete failure of machine learning systems as they fail to cope with mismatches between the input distribution during training- and test-time. The most common normalization method, batch normalization, reduces the distribution shift during training but is agnostic to changes in the input distribution during test time. This makes batch normalization prone to performance degradation whenever noise is present during test-time. Sample-based normalization methods can correct linear transformations of the activation distribution but cannot mitigate changes in the distribution shape; this makes the network vulnerable to distribution changes that cannot be reflected in the normalization parameters. We propose an unsupervised non-parametric distribution correction method that adapts the activation distribution of each layer. This reduces the mismatch between the training and test-time distribution by minimizing the 1-D Wasserstein distance. In our experiments, we empirically show that the proposed method effectively reduces the impact of intense image corruptions and thus improves the classification performance without the need for retraining or fine-tuning the model.
IDENTIFIKASI KESULITAN SISWA DALAM MENYELESAIKAN SOAL OPERASI HITUNG BILANGAN BULAT PADA SISWA SMP KRISTEN ENDE TAHUN PELAJARAN 2021/2022

The purpose of this study was to determine the difficulties of students and the factors experienced by students in solving addition and subtraction problems of integers in seventh grade students of Ende Christian Middle School. The type of research used is descriptive qualitative research with data collection techniques using diagnostic tests, interviews, and documentation. The subjects of the research were the eighteenth grade students of Ende Christian Middle School as many as 22 students who completed the diagnostic test questions, there were 5 students whose data was taken to conduct interviews. Data analysis was carried out through the stages of data collection, data reduction, data presentation, and drawing conclusions. From the data from interviews conducted, it shows that in solving problems students do not understand the concept of addition and subtraction of integers, and it is difficult to convert story questions into mathematical models and the factors that cause difficulties experienced by students in solving problems are the lack of willingness to learn from within students. themselves, students are often lazy to learn mathematics, do not want to listen to the teacher's explanation when the lesson is in progress, students do not concentrate fully during teaching and learning activities, students are afraid to ask the teacher when they do not understand the material being taught, students always assume that mathematics is very difficult, students are not careful when working on questions.
Sistem Informasi Akuntansi Berbasis Web (Studi Kasus Prima Diesel Jaya)

In the era of information and globalization, the business environment changing rapidly together with an intense levels of competition, especially in retail businesses. Prima Diesel Jaya is one of the store engaged in the retail business of goods, especially spare parts for cars. Problems encountered at the store such as lost sales data and time-consuming data input. Based on the problems encountered, the author wants to help Prima Diesel Jaya store owners by building an accounting information system based on store business processes, where the information system built can help recap data, manage data, and also help the store in making monthly reports efficiently, so as to prevent financial loss. To ensure the system has been running properly and correctly, a black box test and a comparison of the outputs of financial statements is performed. Based on the results of tests conducted, the black box testing shows that the system function is running well and on the financial statement test show that the system output result is in accordance with the manual calculations.
Indonesian Students Adaptation to Culture Shock: A Case Study of Erasmus Mundus Joint Master's Degree Students - European Union

Currently, the number of Indonesian students who receive scholarships to continue their studies in Europe is increasing day by day. They managed to get scholarships not only from the Indonesian government but also from the governments of European countries that are members of the European Union. One of the scholarship programs that are in great demand by Indonesian students is the Erasmus Mundus Program with its uniqueness, namely that each student must attend education in 3 countries in Europe. This study aims to answer questions about why culture shock is experienced by Indonesian students who are recipients of the Erasmus Mundus scholarship and how Indonesian students who receive the Erasmus Mundus scholarship overcome culture shock in order to be able to adapt to a new environment. This research is a qualitative research with a case study approach. Data was collected through semi-structured interviews and in a fluid atmosphere. In this study, as many as 5 Indonesian students received the European Union Erasmus Mundus scholarship to take a Postgraduate program in Europe. The results of this study prove that adaptation can be done through 5 factors, namely personal communication, host social communication, ethnic social communication, environment, and predisposition.
Rancang Bangun Sistem Informasi Penjualan Berbasis Android (studi Kasus: 212mart, Umban Sari Rumbai Pekanbaru)

212Mart is a mini market that sells various kinds of daily needs such as basic necessities, stationery and household supplies. 212Mart opens orders without having to come to the store. The problem faced in ordering is that the order is still using by telephone or the WhatsApp application so that errors often occur in ordering, customers also place orders for products that turn out to be out of stock at the store. From these problems, with the development of technological advances, it is expected to assist in the ordering process at 212Mart through smartphones, especially Android. For this reason, in this study the prototyping method was used and user acceptance testing was carried out to see whether this application was successfully made as expected. This application was made with the hope that it is easy to place an order and minimize errors in ordering products at 212MartKeywords: 212Mart, Android, prototyping, user acceptances testing