Reviewerly/exHarmony huggingface dataset:
Pengaruh Media Dakota dan Keaktifan terhadap Prestasi Siswa Materi FPB dan KPK

This research is motivated by the obstacles experienced by students in learning mathematics, this is of course influenced by the efforts of teachers as educators in achieving educational goals. But in reality, currently there are still many teachers who do not use learning media, especially in learning mathematics. This causes students to experience learning difficulties. The purpose of this study was to determine the effect of Dakota media on student achievement. One of the learning media that can be used by teachers, especially FPB and KPK material, is Dakota media. The method used in this research is a quantitative experiment. The population and sample were all fourth-grade students of SDN Pasanggrahan for the 2019/2020 school year. The sampling technique used was the saturated sampling technique, which means that all populations were used as samples. The instruments used were tests and questionnaires. The data collected in this study were mathematics learning achievement obtained through pre-test and post-test. The data were processed using the independent sample t-test. The results of this study indicate that student activity has increased. The results of testing the hypothesis obtained are 0.023 &lt;0.05, which indicates that student learning activeness can affect the role of Dakota learning media on student learning achievement.
Pembelajaran Discovery Berbasis TIK Terhadap Hasil Belajar Matematika Siswa Kelas V SD

The purpose  of this study are to determine the effect of the learning models on the learning achievement in Mathematics viewed from the learning independence of the students. The learning models compared were the discovery learning model based on ICT, discovery learning model, and the conventional learning model. The type of this study was a quasi-experimental study with a 3×3  factorial design. The study population was all grade V students of  State Elementary School 1 Landasan Ulin Timur Banjarbaru. The samples in this study amounted to 73 students with the details of 24 students for experiment 1 and 25 students for experiments 2 and 24 students for the control class. The data collected instrument used mathematics achievement tests and a questionnaire of student’s learning  independence. Based on the hypothesis, the results could be concluded as follows, the learning achievement of the students treated with discovery learning model based on ICT better than students treated by discovery learning model and conventional learning model. In addition, students’ learning achievement treated by discovery learning model better than students treated by conventional learning model.
Libraries open for browsing

Dalkeith, Danderhall, Newtongrange and Penicuik Libraries are now open to the public for bookable limited browsing.
Analysis Of Acceptance And Use Of Learning Management System Using The Utaut Model (Case Study: Stmik Logika)

Web technology is the result of a set or organized activities and procedures which are the development of renewable information system technology where the development of the application uses the Android system model. The development of the website system and its application creates an ease in providing information, especially in the material or teaching material at which the COVID-19 outbreak is currently happening. This learning system indirectly provides information to the public and students, especially in the form of knowledge and information related to knowledge in a particular field of science. STMIK Logika applies the learning system as a medium for online learning in addition to face to face directly. Learning system developed with the aim of improving the quality and effectiveness of learning that offers several facilities such as online assignments, online tests, lecture materials and so on. To find out the behavior in the use of e-learning, the UTAUT (Unified Theory of Acceptance and Use of Technology) model is used. The results of the study are in the form of Performance Expansion (PE), Business Expansion (EE), Social Influence (SI) and Facilitating (FC) variables that have a significant effect on User Acceptance Interest (BI). Overall, all of these predictor variables are able to explain the effect on user acceptance interest. the UTAUT (Unified Theory Of Acceptance And Use Of Technology) model is used. The results of the study are in the form of Performance Expansion (PE), Business Expansion (EE), Social Influence (SI) and Facilitating (FC) variables that have a significant effect on User Acceptance Interest (BI). Overall, all of these predictor variables are able to explain the effect on user acceptance interest. the UTAUT (Unified Theory Of Acceptance And Use Of Technology) model is used. The results of the study are in the form of Performance Expansion (PE), Business Expansion (EE), Social Influence (SI) and Facilitating (FC) variables that have a significant effect on User Acceptance Interest (BI). Overall, all of these predictor variables are able to explain the effect on user acceptance interest.
Exploring the Governance and Implementation of Sustainable Development Initiatives through Blockchain Technology

Societies at large still grapple to categorize digital space as a phenomenon. At the same time, scientists and developers are searching for innovative methods to better understand how the fundamental shifts caused by digital change will affect the future of humanity over the coming decades. Interdisciplinary governance research at the intersection of technological and environmental foresight is urgently needed to minimize the risks of technological change and explore how digitalization may support, hinder or re-shape sustainability transformations. In this article, we focus on the case of ‘blockchain’ or distributed-ledger technology (DLT) to investigate how recent digital technologies may support the implementation of sustainable development initiatives. Our investigation is centered on areas of public administration and governance which will most likely see an adoption of DLT over the next two decades, such as digital identity, social service provision, and innovative climate finance. To allow for a meaningful comparison of various use cases, we propose four guiding questions that can help researchers, decision-makers and practitioners to determine whether DLT might be an appropriate choice for the sustainability-related task at hand. Moreover, we illustrate how the initial design and subsequent implementation of DLTs may support more centralized or networked modes of governance.
Best Computer Screwdriver Set

One undisputed truth about screwdrivers is that one size and type cannot handle all the tasks and whether you like it or not, a different type of ...
Pemanfaatan Website Dalam Mengembangkan Kreatifitas Siswa Di Dunia Usaha

In this increasingly developing era, the internet is a medium used as a means of communication which has gradually eliminated communication media such as telephone or SMS (short message send). This is due to what has been proven that in everyday life at this time, humans are attached to a network. The development of the internet has also supported the use of computers in education. The internet can be accessed and used for various purposes, by anyone, anywhere, anytime. Various kinds of internet technology can be used, one of which is the World Wide Web (or hereinafter referred to as the which is capable of providing information in the form of text, images, sound or moving images. With this capability, the web has become very popular and its development is very rapid, but generally a web like this is still static and cannot manage data. To be able to manage data in the form of a database, it is necessary to develop a web-based information system. Based on the description above, it is important to introduce the concept of a website to students, with the hope that they can take advantage and broader insight on how to create and use a website for the purpose of disseminating information to businesses.
Nonlinear Matrix Factorization via Neighbor Embedding

Matrix factorization plays a fundamental role in collaborative filtering. There are two basic disciplines among collaborative filtering approaches: neighborhood-based methods and latent factor models. Based on the neighbor-entity spatial relationships, neighborhood-based methods capture the local structure of the user-item rating matrix. Latent factor models capture the global structure of the matrix. Neither neighborhood-based methods nor latent factor models can capture both of them. The recently developed capsule network can capture the part-whole spatial relationships in the images. The basic matrix factorization model and its extensions are among the most successful latent factor models. Motivated by the need for capturing both the local structure and the global structure of the matrix, and inspired by the recently developed capsule network, we propose a new matrix factorization model called capsule matrix factorization, which attempts to capture the two structure of the matrix by propagating the neighbor-entity spatial relationships in the rating matrix into the latent factor vectors. Experimental results on real datasets demonstrate that the capsule matrix factorization model improves the basic matrix model in terms of recommendation accuracy greatly.
Searching by Keyword

Our third feature will allow a user to search for a book by its name. This is useful when the book list becomes very long – it can be hard for a user to find what they are looking for when content is more than one screen or page.
한국어 ‘-(으)ㅁ’, ‘-기’ 명사절 내포문의 실현과 학문 목적 학습자의 사용 및 인식 연구

This study aimed to prepare basic educational data so that learners can fully understand the usage of sentences embedded with noun clauses “-(으)ㅁ” and “-기,” and to actively utilize them in academic texts. Accordingly, this study attempted to gain a comprehensive understanding of usage aspects and awareness levels by analyzing academic texts written by those whose mother tongue is Korean as well as academic learners, and by conducting a grammaticality judgement test among the learners. Based on the research on usage aspects and awareness levels of sentences embedded with noun clauses “-(으)ㅁ” and “-기,” this work suggests categorization of the combined predicates shown in native Korean speakers’ academic texts into types in the education on sentences embedded with noun clauses “-(으)ㅁ” and “-기.” In addition, it highlights the need to explain not only the syntactic restriction but also its function within academic texts in detail. Lastly, it posits that the learners would be better able to grasp the difference if the two nominalizer endings are presented in a comparative manner. This study clarified the usage patterns of native Korean speakers and academic learners by limiting the scope of the text corpora, which have been utilized previously to analyze sentences embedded with noun clauses, to academic texts written by people whose mother tongue is Korean. Furthermore, this study is meaningful as it suggests effective contents and methods for the education for academic learners by looking at the difficulties learners have faced in utilizing sentences embedded with noun clauses “-(으)ㅁ” and “-기,” based on their grammaticality judgement test results. (Chung-Ang University)
Pedagogical technology: A specific historical approach

In the present context of numerous reforms, modernization and upgrading, much attention is given to the content of education, while the technological bases of education, which has not been subjected to redesigning for decades, is virtually neglected. It resulted in the decline in the quality of education, which is illustrated by the data of international studies PISA, TIMSS, PIRLS, TALIS, etc. In regard to the above, this article examines the questions of organization of educational process, the core component of which are general forms of education that depending on the specific historical conditions dominate in its organizational structure.
The Impact of Reliable Leadership and Job crafting on Customer Orientation and Service Recovery Performance; Case Study of Sepah Bank of Khuzestan

The purpose of this study was to investigate the effect of reliable leadership and Job crafting on customer orientation and service recovery performance in Sepah Bank in Khuzestan province. The present research is practical in terms of purpose and is descriptive survey research in terms of research method. Research data using a standard integrated questionnaire to measure reliable leadership variable with 16 items of standard questionnaire of Walumbwa et al. (2008), to measure customer-oriented performance variable with 7 items of Dimitriadis standard questionnaire (2007) to measure performance variable Service retrieval with 5 items of the standard questionnaire of Babakos et al. (2003) and to measure the variable of Job crafting with 21 items of the standard questionnaire of Thames et al. (2012) were collected in the form of Likert scale. The statistical population of the study was 605 employees of Sepah Bank in Khuzestan province, which according to Cochran's formula, 235 people randomly formed the volume of the research sample. Cronbach's alpha of the numerical value of this coefficient for the standard questionnaire was generally 0.835. SPSS and AMOS statistical software were used for an inferential analysis of research data. The results showed that, given that the critical ratio is equal to 4.486, which is more than 1.96, reliable leadership has a positive effect on customer orientation; also, given that the critical ratio is 2.646, we conclude that reliable leadership has a positive effect on service recovery performance; given that the critical ratio is 6.158,
SSNCSE-NLP @ EVALITA2020: Textual and Contextual Stance Detection from Tweets Using Machine Learning Approach

Opinions expressed via online social media platforms can be used to analyse the stand taken by the public about any event or topic. Recognizing the stand taken is the stance detection, in this paper an automatic stance detection approach is proposed that uses both deep learning based feature extraction and hand crafted feature extraction. BERT is used as a feature extraction scheme along with stylistic, structural, contextual and community based features extracted from tweets to build a machine learning based model. This work has used multilayer perceptron to detect the stances as favour, against and neutral tweets. The dataset used is provided by SardiStance task with tweets in Italian about Sardines movement. Several variants of models were built with different feature combinations and are compared against the baseline model provided by the task organisers. The models with BERT and the same combined with other contextual features proven to be the best performing models that outperform the baseline model performance.
An Online Professional Learning Program for Supporting Vocational School Teachers’ Online Classroom via WhatsApp Group

This descriptive study reports an online professional learning program of vocational schoolteachers aiming to support the teachers' pedagogic practice in using WhatsApp groups for their online classrooms.Specifically, the study examined the teachers' learning experiences during the training and their lesson plans in deploying affordances of WhatsApp platform to help their students learn.This study involved 90 teachers in a public vocational school in West Java Province, Indonesia.The data were collected from the observation of a one-day training, WhatsApp classroom simulation on teaching reading, the teachers' responses on the training, and the teachers' lesson plans.The findings demonstrated the teachers' increased awareness about the importance of planning clear and specific instructions to their students in WhatsApp classrooms.The teachers' lesson plans indicated the incorporation of several features, such as voice notes and emojis, to ignite positive interactions between the teachers and their students.The limitation of the study is that there were no simulations with real students to portray the authentic WhatsApp interactions with students.Thus, based on the findings and the limitations, it is recommended to observe teachers in conducting their online classes with their students.
Ferramenta WhatsApp como diferencial competitivo na venda de alimentos em cidade interiorana

Social media consider society and the routine of many people, offering agility speed and wide dissemination in the sharing of information, in addition to facilitating communication. Virtual communication is a great ally in consumption and in increasing sales in companies that they know as virtual tools and aims to increace their profit. However, it’s necessary to have a broader view and beyond the screens of a smartphone, having the possibility of establishing a more human relationship with customers using this type of tool to communicate with the company, generating a relationship of trust and satisfaction that can generate costumer loyalty. Assuming that WhatsApp is a tool that isn’t only personal for personal use, this study aims to cunduct a critical analysis on the sale of products in the actitvities of the branc powered by the WhatsApp platform.
퍼지 베이지안 네트워크와 증거 이론을 이용한 FTA-FMEA 통합시스템에 의한 오류진단

Purpose This study presents a combined model of Fault Tree Analysis (FTA) and Failure Mode and Effects Analysis (FMEA) using evidence theory and Fuzzy Bayesian Network (FBN) under uncertain circumstances which are caused by the presence of incompleteness, randomness and ambiguity of failure modes.Methods In order to identify the critical failure modes according to the multi-level FTA-FMEA, the Trapezoidal Distribution-Type Basic Belief Assignment (TrDTBBA) is used to consider the viewpoints of experts and to resolve the conflicts of evidence The proposed FTA-FMEA-FBN model derives fuzzy posterior probabilities to implement fault diagnosis approach which is more suitable than fuzzy prior probabilities when conducting qualitative reasoning of vague probability.Results A novel method for identifying the critical failure modes according to the level of hierarchical Bill of Material (BOM) is based on the proposed FTA-FMEA-FBN integrated model that illustrates chassis system consisting of 6 components, 4 modules and 6 parts.Conclusion This suggested FTA-FMEA-FBN model is convenient for a risk evaluation in the following uncertain circumstances: 1) The information of failure modes are incomplete, 2) The numbers of failure modes comprised of three levels are too abundant, 3) The probabilities of failure modes have a lack of quantification data. The fusion strategy of those three risk techniques implements computational efficiency and provides a synergistic effect to accurately identify the critical failure modes under uncertain circumstances.
SISTEM INFORMASI PENJUALAN MOBIL BEKAS DI CV. ANUGRAH JAYA BERBASIS WEB MENGGUNAKAN FRAMEWORK LARAVEL

CV. Anugrah Jaya is a company engaged in the sale of used cars. This company was established in 2011 and still using conventional in the process of selling used car sales reports, this causes peroses used car sales takes a long time in the sales report, this is in because all the sales process is still done manually so it must do the check One by one to avoid mistakes or omissions in recording used car sales data. The company should require the presentation of information more quickly and accurately. In addition to promoting the car in the CV. Anugrah Jaya companies are still using Facebook and Whatsapp media. For that CV. Anugrah Jaya needs a web-based sales information system using laravel framework. This application is able to provide solutions to any problems arising from the system that has not been computerized that had been in use. The meaning of the application is made to facilitate in the promotion of the car because it is not using social media like facebook and whatsapp.
Research Guides: Open Education Week 2021: Monday - What is Open Ed?

Guide to events during Open Education Week 2021 - March 1 - 5. Links to webinars, resources, websites, and more!
Strategies to Improve Children’s Interest in Reading Activities

Through this study, we aimed to establish which are the main strategies that teachers use to increase pupils' interest in reading activities. It is unanimously accepted that frequent reading of texts has a beneficial effect on the harmonious development of each pupil. In order to create an inventory of examples of good practices provided by teachers for primary education, an online questionnaire was administered between June and October 2020. 219 teachers have completed the questionnaire and mentioned which strategies they use most frequently to make pupils appreciate the value of the books and to read more frequently. The study revealed several good practices that can be used by teachers or parents to motivate pupils to be more actively engaged in reading activities. These results are useful for primary school teachers who can use them to improve the strategies they use to determine pupils to read more frequently and with pleasure. Working with the books, frequent presentation of the content of some books, organizing reading clubs, visiting the school library, arranging a reading corner, and making portfolios about the content of favorite books are some of the strategies mentioned by teachers.
Teaching Global Warming with Millealab Virtual Reality

Virtual Reality (VR) is a new technology in education applied to the learning process. The development of VR technology in education meets several problems. This research develop a learning media based on virtual reality technology developed by Millealab. is a platform for developing VR media with more specific features to create a good visualization of reality to support the teaching and learning process. The development of VR media named GoWarm with Millealab has been made through researching, creating, validating, and trial. The validation process was assessed by six validators (Physics media lecturers, Physics teachers, and media experts) and got an average score of 87%. It means the media is good and very valid. The trial was limited and conducted online because of the COVID-19 pandemic. The result shows that the media is categorized as very good. Indeed, GoWarm with Millealab received positive feedback from the respondents (20 high school students). In brief, GoWarm with Millealab is successfully developed to gain attention to Global Warming issues. Further research in VR-based physics learning media needs to be done by improving content and evaluation.
영어권 및 중국어권 한국어 학습자의 유창성 습득 종단 초기 연구

This study investigated how both L2 learner groups with different mother tongues (Chinese, English) acquire the fluency factors of the target language (Korean) longitudinally. It was expected that the effect of L2 learners’ mother tongue was involved in the fluency judgement process. Thirtythree subjects with different L1 groups (English, Chinese) and with similar years of learning (1yr, 2yrs) participated in the experiments, along with seven native Korean speakers as a control group. The results show that the L1 background language and L2 learning duration exhibit dissimilar influence on the acquisition of the L2 fluency. More precisely, the L1 effect has been decreased in its effect on fluency judgement, while the learning duration has been increased in the later stage, in which they achieved around 40 to 50 percent of fluency ratings in two years. Also, both independent effects trigger an uneven influence on Korean native speakers’ judging the fluency; speech rate appears to be one of the most influential cues. (Konkuk University)