Reviewerly/exHarmony huggingface dataset:
An Empirical Study on Improving the Learning Effect of Physics Experiment Course in High School by Simulation Experiment Software

Physics experiment course in senior high school plays a very important role in cultivating students' scientific thinking and scientific inquiry ability.However, in teaching practice, due to large experimental error, poor demonstration effect and lack of experimental conditions, it cannot achieve the expected teaching effect.This study integrates the simulation experiment software into the physics experiment classroom in senior high school, in order to optimize the experimental teaching quality and promote the development of students' inquiry ability.In this study, 45 students from class 5 and 47 students from class 6 of grade 1 in a high school in Beijing were selected as the experimental class and the control class respectively.The demonstration experiment of "synchronous satellite orbit transfer launch" and the exploration experiment of "uniform linear motion" were carried out with the help of simulation experimental software.The results showed the teaching based on simulation experimental software plays a positive role in teachers' experimental teaching, reducing experimental errors, improving self-efficacy and teaching performance.On the other hand, limited by the simulation experiment environment, the simulation experiment could reduce the trial and error opportunities of excellent students, and affect the development of students' innovation ability to a certain extent.
Generating Concurrent Programs From Sequential Data Structure Knowledge Using Answer Set Programming.

We tackle the problem of automatically designing concurrent data structure operations given a sequential data structure specification and knowledge about concurrent behavior. Designing concurrent code is a non-trivial task even in simplest of cases. Humans often design concurrent data structure operations by transforming sequential versions into their respective concurrent versions. This requires an understanding of the data structure, its sequential behavior, thread interactions during concurrent execution and shared memory synchronization primitives. We mechanize this design process using automated commonsense reasoning. We assume that the data structure description is provided as axioms alongside the sequential code of its algebraic operations. This information is used to automatically derive concurrent code for that data structure, such as dictionary operations for linked lists and binary search trees. Knowledge in our case is expressed using Answer Set Programming (ASP), and we employ deduction and abduction -- just as humans do -- in the reasoning involved. ASP allows for succinct modeling of first order theories of pointer data structures, run-time thread interactions and shared memory synchronization. Our reasoner can systematically make the same judgments as a human reasoner, while constructing provably safe concurrent code. We present several reasoning challenges involved in transforming the sequential data structure into its equivalent concurrent version. All the reasoning tasks are encoded in ASP and our reasoner can make sound judgments to transform sequential code into concurrent code. To the best of our knowledge, our work is the first one to use commonsense reasoning to automatically transform sequential programs into concurrent code. We also have developed a tool that we describe that relies on state-of-the-art ASP solvers and performs the reasoning tasks involved to generate concurrent code.
Penerapan Model Pembelajaran Kooperatif Tipe Think Pair Share Untuk Meningkatkan Hasil Belajar IPA Siswa: Indonesia

This study aims to improve students' science learning outcomes using the Think Pair Share Cooperative learning model. This research was conducted in two cycles and each cycle was conducted in two meetings. For this research to run well, the researcher arranged the stages in classroom action research, namely planning, action research, action observation, and reflection. The subjects in this study were teachers and students of Class V Elementary School 011 Desa Baru, totaling 40 people. Data collection techniques were carried out by observation, documentation, and test techniques. The results showed that the application of Think Pair Share Type Cooperative learning can improve student learning outcomes. These results can be seen from the first cycle of student success reaching 64.7% and in the second cycle increasing to 91.18% with the 'Very Good' category. This proves that the application of Think Pair Share Type Cooperative learning can improve students' science learning outcomes. The results of the study can be seen from the increase in learning outcomes in the first cycle which increased to 31 students who finished studying or 77.5% with an average grade of 68.25. The average value of the class is quite good and meets the success indicator, namely 65. In the second cycle, it increased sharply to 38 students who finished studying or 95% with the class average score of 84.25.
Assessing the impact of socio-technical congruence in software development: a systematic literature review

Software development is a critical task that depends on coordination among team members and organizational activities that bring team members together. The literature indicates various techniques that have been applied to control the coordination level among team members. Notable among these techniques is social-technical congruence (STC), which helps to measure the alignment between the social and technical capabilities of an organization and teams at various stages of software development. The dynamic nature and changes of coordination requirements make STC a potential research area in this regard. The main objective of this study is to perform a systematic literature review (SLR) that recognizes and structures existing studies that represent new evolutionary trends in the field of STC. A SLR is performed of 46 publications from 4 data sources, including journals, conferences and workshop proceedings, most of which were published between 2008 and 2019. To this end, a thorough analysis is carried out to elicit the studies based on 7 research questions in this SLR. The outcome of this SLR is a set of ample research studies representing various aspects, performance impacts, factors, and evolutionary trends in the field of STC. Furthermore, STC measurement techniques are classified in two distinct groups, matrix based and social network analysis-based measures. After a systematic exploration of these aspects, this study results in new insightful features and state of art of STC. This SLR concludes that some areas still require further investigation. For instance, (1) STC-related literature exists, but only one research work mainly focuses on the risk of overwhelming STC (i.e., excessive STC measurement may overburden the software development process); (2) STC measurement techniques facilitate the identification of congruence gaps, but no attention has been given towards the unweighted social network analysis based STC measurement models; (3) STC measurement techniques are generally applied in the development phase of the project lifecycle, but these measurements are rarely used in other software development phases, such as the requirement and testing phases or all phases; and (4) The development factors that effects on STC measurement are rarely focused by researchers in the context of various domains.
PERANCANGAN SISTEM INFORMASI DATA INDUSTRI BERBASIS BORLAND DELPHI 7

This research asmitted to find out the industries in Kebumen Regency, data system of Borland Delphi 7 best industry information was developed.Data collection method is done by way of liiterature study and observation conducted Industrial data processing conducted by employees of the Department of Industry and Trade and Market Management using Microsoft Excel by entering the data into the table with the name of the Village in each District with a lot of industrial number certainly not effective and require a long time.With the data systen of industry based superior data Borland Delphi 7 is able to facilitate employees in the process of data processing and reporting industry leading data to Head of Field effectively and efficiently.
Speaking to the eyes

This chapter provides an overview of the history of data visualization, an area that is central to scientific communication. As this chapter will show, data visualization has long been a powerful means for making sense of scientific, medical, and technological data, advancing arguments, and communicating information to others. After elaborating on the definition and roots of data visualization, this chapter will describe and illustrate significant moments in the evolution of data visualization. As these examples will show, data visualizations come in a variety of forms. They have not always been constructed specifically to advance finalized visual arguments but also as heuristics to analyze and interpret the specific issue at hand. Finally, this review will serve as a historical backdrop for contextualizing current trends and potential future directions in data visualization, including the effect of big data, technological advances, networked and interactive visualization, and humanistic approaches to data visualization.
An Effective and Efficient Framework for Fast Privacy-Preserving Keyword Search on Encrypted Outsourced Cloud Data

Cloud providers offer storage as a service to the data owners to store emails and files on the cloud server. However, sensitive data should be encrypted before storing on the cloud server to avoid privacy concerns. With the encryption of documents, it is not feasible for data owners to retrieve documents based on keyword search as they can do with plain text documents. Hence, it is desirable to perform a multi-keyword search on encrypted data. To achieve this goal, we present a fast privacy-preserving model for keyword search on encrypted outsourced data in this paper. Specifically, the model first performs a keyword search on encrypted data and checks its support for dynamic operations. Based on keyword search results, it then sorts all the relevant data documents using the number of keywords matched for a given query. To evaluate its performance of our model, we applied the standard metrics like precision and recall. The results show the effectiveness of our privacy-preserving keyword search on encrypted outsourced data.
DEVELOPMENT OF STUDENTS’ ALGORITHMIC THINKING AND DIGITAL LITERACY THROUGH MINECRAFT: EDUCATION EDITION

The following work describes Minecraft: Education edition: Education Edition learning platform and its application in the educational process. The main element is gaming that builds teamwork skills, develops students’ creativity and engages them in real-world problems solving. Teachers use Minecraft: Education edition: Education Edition to teach a range of subjects, from history and chemistry to computer science and math, breaking curriculum standards and involving students in extracurricular activities and coding clubs. According to various educational experts, Minecraft: Education edition: Education Edition is one of the best existing digital tools for learning through entertainment. Bulgarian schools are provided by The Ministry of Education and Science with free access to the platform, which makes it an attractive tool that helps students to develop their algorithmic thinking and digital literacy. The article describes the main features of the game and gives specific examples of successful use of Minecraft: Education edition: Education Edition in the lower secondary stage of primary education.
Developing library services in the university’s digital environment

The library services provided by Samara University Library in the digital environment are discussed. The functionality of «Library» module within the AIS «IWC: University Management» implemented on the platform «1C: Enterprise», and of crawlers in various messengers are demonstrated. Library services are integrated into the university’ account as a key instrument of digitalization in the University.
Laboratory for Digital Technologies Testing and Skills Development of Professionals And Students

In the context of electrical installation digitalization, a new laboratory concept is currently being developed to include both newest technologies of primary equipment and new tools for operation, maintenance, remote control, and data processing. These tools based on AR and VR are increasingly complex, can be used for training purposes and can retrieve data from SCADA systems, offering an easier access to technical data, reducing the time of non-power supply, reducing the time related to maintenance, reducing human error etc. In this paper was developed an AR solution that includes 3D models of the electrical installation, technical specifications, maintenance instructions, decision diagrams that through the application indicate exactly the steps to be followed for operators in the substation and indications of the work areas or from where operators can take action / fix faults / view positions of electrical equipment, etc.
IMPROVING READING COMPREHENSION THROUGH KWL( KNOW – WANT – LEARN) STRATEGY

The objective of this research is to find out if using KWL (Know-Want-Learn) strategy can improve students’ reading comprehension or not. The researcher used quasi- experimental research design. The samples were X IPA2 as the experimental group which consisted of 27 students and X IPA 1 as the control group which consisted of 27 students. The instrument used in collecting data was a pre-test and post-test. The mean score of the experimental class on pre-test is 50.12, while that of the control class is 48.14. The mean score of the experimental class on post-test is 82.51, while that of the control class is 75.46. By applying a one-tailed test at 0.05 level of significance with 52 degrees of freedom (df), the value of t-counted (2.4) is greater than t-table (1.675). It confirms that the research hypothesis is accepted. Based on the result, it is concludes that KWL (Know-Want-Learn) strategy is effective to improve students’ reading comprehension of X grade students of SMA Negeri 1 Tinombo Selatan.    Keywords: Reading, Reading Comprehension, KWL
The Effect of Interactive Video on Social Studies Learning Motivation for Fifth Grade at SDN Kaliwungu 2 Jombang

This“study aims to determine the effect of interactive video media on students learning motivation in social studies of fifth grade at SDN Kaliwungu 2 Jombang”which refers to the thematic book class V “theme 7 events in life, sub-theme 2 national events surrounding the proclamation of learning independence 1”. The problems in education were the learning implementation is less attractive. For that,“the teachers are required to be creative in improving the quality of learning such as using media in”learning. One of the interesting learning media is interactive video media. Research using interactive video media in social studies learning was carried out in the even semester of the 2020/2021 school year. The research used experimental research with pre-experimental method and one group pre-test post-test design. The population in this study were all fifth grade students at SDN Kaliwungu 2 Jombang which consisted of 20 students, 11 female students and 9 male students. The results of the study can be seen from the t test (paired t test) obtained t_count (4.0376) &gt; t_table (2.0930). From these results it can be concluded that there is "The Influence of the Use of Interactive Video Media on Social Studies Learning Motivation for Class V SDN Kaliwungu 2".
РАЗРАБОТКА ИНФОРМАЦИОННОГО МОБИЛЬНОГО ПРИЛОЖЕНИЯ ДЛЯ СТУДЕНТОВ УНИВЕРСИТЕТА

The article deals with the development and creation of a mobile application for students, which allows to solve many problems of student life: to find out what was asked at home on a particular subject, when there will be a curatorial hour or learn the latest news. Nowadays, more and more people prefer mobile and quick access to information. Every year the percentage of users of mobile versions of sites is growing. The same fully applies to the student audience. Modern students are technically and psychologically ready to use mobile technologies in the educational process, and, therefore, it is necessary to consider new opportunities for more effective use of the potential of mobile devices. In this work, the project of the software product was developed and implemented an information mobile application filled with data from the official website of ENU named after L. N. Gumilev.
Directions for Future Automated Analyses of L2 Written Texts

Previous research on automated analyses of written texts has focused on detecting lexical, collocational, and grammatical errors in written texts and on identifying linguistic features of written texts that are discriminative of proficiency levels or predictive of writing quality. This chapter starts with a brief description of the history of this line of research and the cumulative knowledge it has generated. It then proposes an agenda for future research on automated analyses of written texts. Three research questions are raised: 1) How can we improve the accuracy of natural language processing tools on texts produced by second language learners? 2) How can we automatically assess whether the linguistic features deployed in written texts are appropriate and effective for the rhetorical functions they are used to realize? 3) How can the capability to automatically identify form-function mappings and assess their appropriateness and effectiveness in written texts be utilized to inform and promote the teaching and learning of second language writing? Two empirical studies are suggested for each research question, each taking a different approach. The chapter concludes with a discussion of the critical importance of a functional turn in research on automated analyses of written texts.
Prediction of vocal roughness using measures of temporal envelope fluctuation obtained from an auditory model

Vocal roughness often is present in many voice disorders, but the assessment of roughness mainly depends on the subjective auditory-perceptual evaluation and lacks unique acoustic correlates. This study aimed to apply the concept of roughness in general sound quality perception to vocal roughness assessment and to characterize the relationship between vocal roughness and temporal envelope fluctuation measures obtained from a biologically inspired auditory processing model. Ten /ɑ/ recordings with a wide range of roughness were selected from an existing database. Ten listeners evaluated perceived roughness using a single-variable matching task. Temporal envelope fluctuations of the recordings were analyzed with an auditory processing model of amplitude modulation based on a modulation filterbank tuned to different modulation frequencies. Pitch strength and the smoothed cepstral peak prominence (CPPS) also were computed for comparison. Individual simple regression models yielded envelope standard deviation from a modulation filter with a low center frequency (64.3 Hz) as a statistically significant predictor of vocal roughness with a strong coefficient of determination (R2 = 0.81). Pitch strength and CPPS were not significant predictors of roughness. These results support the utility of envelope fluctuation measures from an auditory model as objective correlates of vocal roughness. [Work supported by NIH R01DC009029.]
More With Less: Exploring How to Use Deep Learning Effectively through Semi-supervised Learning for Automatic Bug Detection in Student Code

Automatically detecting bugs in student program code is critical to enable formative feedback to help students pinpoint errors and resolve them. Deep learning models especially code2vec and ASTNN have shown great success for large-scale code classification. It is not clear, however, whether they can be effectively used for bug detection when the amount of labeled data is limited. In this work, we investigated the effectiveness of code2vec and ASTNN against classic machine learning models by varying the amount of labeled data from 1% up to 100%. With a few exceptions, the two deep learning models outperform the classic models. More interestingly, our results showed that when the amount of labeled data is small, code2vec is more effective, while ASTNN is more effective with more training data; for both code2vec and ASTNN, the more labeled data, the better. To further improve their effectiveness, we investigated the potential of semi-supervised learning which can leverage a large amount of unlabeled data to improve their performance. Our results showed that semi-supervised learning is indeed beneficial especially for ASTNN.
Research on Improved Algorithm of Association Rules Mining Based on Hadoop

In this paper, the Apriori association rule mining algorithm and the existing parallel improved algorithm are analyzed and the Apriori algorithm is improved by using the idea of MapReduce distributed programming model. The improved algorithm not only makes up for the shortcomings of the existing algorithm, such as the number of scanning database, the number of iterations and the number of candidate set generation but also can achieve good parallelism on the Hadoop platform.
NATURAL AND MATHEMATICAL EDUCATION, ITS GENESIS AND CONTINUITY

The modern school again should be tasked not only to provide a certain amount of knowledge, but also to prepare students for their future practical activities. Previously, the Soviet and Bulgarian schools solved this problem by implementing the idea of polytechnic education. The transformation of the system of general and vocational education that followed the change of political regimes in the USSR and Bulgaria led to the loss of many positive achievements that had already been achieved earlier. A high level natural and mathematical education always was a distinctive feature of the Russian mass school. Most of the seemingly diverse intellectual challenges that students face in the learning process can be solved by developing conceptual thinking. It is possible to form the conceptual thinking through systematical studying of the natural sciences basics only. Consistency in the study of the surrounding world in a comprehensive school can be achieved through the synchronization of programs and inter-subject connections, and not through metasubject, which is a return to the programs of the GUS of the 20s. Students should learn not individual information, but the basics of the sciences in a certain system. This requires stable (approved for a number of years) programs and textbooks developed as a single system., There will be no right personality without a high-quality natural-mathematical education.