Reviewerly/exHarmony huggingface dataset:
Cyber Crime in India: Problem and Law related to Cyber Crime

Today’s generation of world is a cyber world; we cannot live without the use of internet not only the adult but also the children. There is no doubt and we cannot deny that internet is helping every living person. And on top of this it is a great help during the pandemic, because due to lockdown (covid-19) schools, colleges and other work place had to shut down all around the world. This has affected 1.2 billion children in 186 countries. Thanks to this digital platform, it turns out more helpful for children and workers. But as easy access and wide spread of online community becomes the criminal also fine its way to get through for new easy way of crime to commit and this is the prove and result of rising cybercrime. This article emphasizes the problem created by cybercrime towards individual or group in society and how to deal with this type of crime by studying a little detail about cyber law in India perspective. And about the definition of cyber crime there is no fixed definition for cybercrime. The Indian Law has not given any definition to the term ‘cybercrime’. In fact, the Indian Penal Code does not use the term ‘cybercrime’ at any point even after its amendment by the Information Technology (Amendment) Act 2008, the Indian Cyber law. But “Cyber Security” is defined under Section (2) (b) means protecting information, equipment, devices computer, computer resource, communication device and information stored therein from unauthorized access, use, disclosure, disruption, modification or destruction.
Learning ULMFiT and Self-Distillation with Calibration for Medical Dialogue System

A medical dialogue system is essential for healthcare service as providing primary clinical advice and diagnoses. It has been gradually adopted and practiced in medical organizations in the form of a conversational bot, largely due to the advancement of NLP. In recent years, the introduction of state-of-the-art deep learning models and transfer learning techniques like Universal Language Model Fine Tuning (ULMFiT) and Knowledge Distillation (KD) largely contributes to the performance of NLP tasks. However, some deep neural networks are poorly calibrated and wrongly estimate the uncertainty. Hence the model is not trustworthy, especially in sensitive medical decision-making systems and safety tasks. In this paper, we investigate the well-calibrated model for ULMFiT and self-distillation (SD) in a medical dialogue system. The calibrated ULMFiT (CULMFiT) is obtained by incorporating label smoothing (LS), a commonly used regularization technique to achieve a well-calibrated model. Moreover, we apply the technique to recalibrate the confidence score called temperature scaling (TS) with KD to observe its correlation with network calibration. To further understand the relation between SD and calibration, we use both fixed and optimal temperatures to fine-tune the whole model. All experiments are conducted on the consultation backpain dataset collected by experts then further validated using a large publicly medial dialogue corpus. We empirically show that our proposed methodologies outperform conventional methods in terms of accuracy and robustness.
The Influence on Teacher Professionalism of Educational Qualifications and Teaching Experience

The goal of this study is to identify and evaluate the influence of educational qualifications and teaching experience on the professionalism of public elementary school teachers in the district of Plakat Tinggi.This type of study is quantitatively descriptive.The sample in the study consisted of 85 respondents with data collection techniques in the form of a questionnaire (questionnaire).The findings showed that: 1) there is a significant impact of educational qualifications on the professionalism of teachers; 2) there is a significant effect of teaching experience on the professionalism of teachers; 3) there is a significant influence on the professionalism of teachers between educational qualifications and teaching experience.
THE IMPACT OF LEARNING GAMES ON THE APPROACH OF SECONDARY GRADE STUDENTS TOWARDS THE SUBJECT OF MATHEMATICS AND THE DEVELOPMENT OF THEIR COMPUTATIONAL THINKING

THE IMPACT OF LEARNING GAMES ON THE APPROACH OF SECONDARY GRADE STUDENTS TOWARDS THE SUBJECT OF MATHEMATICS AND THE DEVELOPMENT OF THEIR COMPUTATIONAL THINKING
Development of Information Visualization Methods for Use in Multimedia Applications

The aim of the article is development of a technique for visualizing information for use in multimedia applications. In this study, to visualize information, it is proposed first to compile a list of key terms of the subject area and create data tables. Based on the structuring of fragments of the subject area, a visual display of key terms in the form of pictograms, a visual display of key terms in the form of images, and a visual display of data tables are performed. The types of visual structures that should be used to visualize information for further use in multimedia applications are considered. The analysis of existing visual structures in desktop publishing systems and word processors is performed.To build a mechanism for visualizing information about the task as a presentation, a multimedia application is developed using Microsoft Visual Studio software, the C# programming language by using the Windows Forms application programming interface. An algorithm is proposed for separating pieces of information text that have key terms. Tabular data was visualized using the “parametric ruler” metaphorical visualization method, based on the metaphor of a slide rule.The use of the parametric ruler method on the example of data visualization for the font design of children's publications is proposed. Interaction of using the method is ensured due to the fact that the user will enter the size of the size that interests for it and will see the ratio of the values of other parameters. The practical result of the work is the creation of a multimedia application “Visualization of Publishing Standards” for the visualization of information for the font design of publications for children. The result of the software implementation is the finished multimedia applications, which, according to the standardization visualization technique in terms of prepress preparation of publications, is the final product of the third stage of the presentation of the visual form.
دور القیادة الاستراتیجیة فی الحد من المناخ التنظیمی السام (دراسة تطبیقیة علی الجامعات المصریة)

تتمثل المشکلة التي تسعي الباحثة لدراستها في الإجابة علي تساؤل عام يشير دور القيادة الإستراتيجية في الحد من المناخ التنظيمي وذلک بغرض التعرف علي مدي قدرة ممارسات القيادة الإستراتيجية علي تحسين والحد من المناخ التنظيمي السام بالجامعات المصرية محل الدراسة. وتوصلت الباحثة الي وجود اختلاف معنوي بصفة إجمالية بين إدراک العاملين بالجامعات المصرية لممارسات القيادة الإستراتيجية، و وجود إختلاف معنوي فيما يتعلق بمدي توافر أبعاد المناخ التنظيمي السام بين الجامعات المصرية وفق نوع الملکية، کما توصلت إلي وجود علاقة عکسية بين ممارسات القيادة الإستراتيجية  وبين أبعاد المناخ التنظيمي السام، وإمکانية الحد من المناخ التنظيمي السام إعتمادا علي ممارسات القيادة الإستراتيجية.وأوصت الباحثة بضرورة  تحسين ممارسات القيادة الإستراتيجية ورفع مستوي إدراک العاملين بها، مما يساعد في خفض مستوي توافر أبعاد المناخ التنظيمي السام بالجامعات المصرية، کما أشارت لضرورة الإهتمام بکل من استکشاف الکفاءات الأساسية والحفاظ علي مصدرها وتنميتها، تطوير رأس المال البشري، بناء وتنمية ثقافة تنظيمية فعالة، العمل في ضوء معايير من  القيم لتحرري الممارسات الأخلاقية لتأثيرهم الإيجابي علي الحد من المناخ التنظيمي السام بالجامعات المصرية.Abstract:The problem that researcher seeks to study is to answer a general question that refers to the role of strategic leadership in reducing Toxic Workplace Environment , with aim of identifying extent of ability of strategic leadership practices to improve and reduce Toxic Workplace Environment in Egyptian universities under study.The researcher concluded that there is an overall moral difference between awareness of Egyptian university employees of strategic leadership practices, and existence of a moral difference with regard to availability of dimensions of Toxic Workplace Environment between Egyptian universities according to type of ownership, and existence of an inverse relationship between strategic leadership practices and dimensions of organizational climate. The toxicity, and possibility of reducing Toxic Workplace Environment, depending on strategic leadership practices.The researcher recommended need to improve strategic leadership practices and raise level of awareness of its employees, which helps reduce level of availability of dimensions of Toxic Workplace Environment in Egyptian universities, and indicated need to pay attention to each of Exploration and Maintaining Core competencies, Developing Human Capital, Sustaning an Effective Corporate Culture and Emphasising Ethical Practices for their positive impact on reducing Toxic Workplace Environment in Egyptian universities.
Decoupling Exploration and Exploitation in Reinforcement Learning

Intrinsic rewards are commonly applied to improve exploration in reinforcement learning. However, these approaches suffer from instability caused by non-stationary reward shaping and strong dependency on hyperparameters. In this work, we propose Decoupled RL (DeRL) which trains separate policies for exploration and exploitation. DeRL can be applied with on-policy and off-policy RL algorithms. We evaluate DeRL algorithms in two sparse-reward environments with multiple types of intrinsic rewards. We show that DeRL is more robust to scaling and speed of decay of intrinsic rewards and converges to the same evaluation returns than intrinsically motivated baselines in fewer interactions.
종업원 기술수용태도와 기술 사용용이성이 스마트공장 기술 도입수준과 제조성과에 미치는 영향

The purpose of this study is to examine the effect of each of the two technology acceptance factors(employees’ attitude toward smart factory technology, and ease of smart factory technology use) on the introduction level of each of the three smart factory technologies (manufacturing big data technology, automation technology, and supply chain integration technology), and in turn, the effect of each of the three smart factory technologies on manufacturing performance. This study employed PLS statistics software package to empirically validate a structural equation model with survey data from 100 domestic small-and medium-sized manufacturing firms (SMMFs). The analysis results revealed the followings. First, it is founded that employees’ attitude toward smart factory technology influenced all of the three smart factory technology introduction levels in a positive manner. In particular, SMMFs of which employees had more favorable attitude toward smart factory technology tended to increase introduction levels of both automation technology and supply chain integration technology more than in the case of manufacturing big data technology. Second, ease of smart factory technology use also had a positive impact on each of the three smart factory technology introduction levels, respectively. A noteworthy finding is this : SMMFs which perceived smart factory technology as easier to use would like to elevate the introduction level of manufacturing big data technology more than in the cases of either automation technology or supply chain integration technology. Third, smart factory technologies such as automation technology and supply chain integration technology had affirmative impacts on manufacturing performance of SMMFs. These results shed some valuable insights on the introduction of smart factory technology : The success of smart factory heavily depends on organization-and people-related factors such as employees’ attitude toward smart factory technology and employees’ perceived ease of smart factory technology use.
FedLab: A Flexible Federated Learning Framework

Federated learning (FL) is a machine learning field in which researchers try to facilitate model learning process among multiparty without violating privacy protection regulations. Considerable effort has been invested in FL optimization and communication related researches. In this work, we introduce \texttt{FedLab}, a lightweight open-source framework for FL simulation. The design of \texttt{FedLab} focuses on FL algorithm effectiveness and communication efficiency. Also, \texttt{FedLab} is scalable in different deployment scenario. We hope \texttt{FedLab} could provide flexible API as well as reliable baseline implementations, and relieve the burden of implementing novel approaches for researchers in FL community.
Impact on Student Learning: The Contribution of a Professional Development Collaboration.

New Challenges to Education: Lessons from Around the WorldBCES Conference Books, 2021, Volume 19; Sofia: Bulgarian Comparative Education Society
The Power of Emojis: The Impact of a Leader’s Use of Positive Emoticons on Employee Creativity

Past literature on emoticons has offered limited insights on the effect of using emoticons in organizational settings, especially in the context of leader-employee relationships. The current research examines how a leader’s use of positive emoticons influences employees’ perception of being objectified, a phenomenon frequently experienced in workplaces, as well as their creative performance. We find that a leader’s use of positive emoticons decreases employees’ perception of being objectified, which in turn enhances their creativity. We further find that this impact of a leader’s use of positive emoticons on employees’ creativity is stronger when employees have a higher level of interpersonal orientation. Theoretical and practical implications of the findings are discussed.
THE ONLINE EDUCATION - COMMON ELEMENT OF CURRENT TRAINING ACTIVITIES

Appears in: EDULEARN21 Proceedings Publication year: 2021Pages: 10730-10735ISBN: 978-84-09-31267-2ISSN: 2340-1117doi: 10.21125/edulearn.2021.2235Conference name: 13th International Conference on Education and New Learning TechnologiesDates: 5-6 July, 2021Location: Online Conference
COOPERATIVE LEARNING: THE KEY TO SUCCESSFUL COMMUNICATION

The paper deals with the activation techniques making the process of learning more interactive and efficient. The methods applied to achieve the solution of the research problem are analysis of literature and experiments performed in classes of English with the students of the second year of studies at the Kazan Federal University. Cooperative learning can be realized in various ways and in this article some of them are reflected and analyzed. Working together at different cooperative learning projects, such as launching an advertisement in the Internet, shooting films, writing stories or articles, taking part in performances and many others, students utilize their language and communication skills. As a result, they cope with oral tasks at the exams and achieve their goals at job interviews more successfully.The authors conclude that cooperative learning included into the process of studying English at an upper-intermediate or an advanced level can teach student to communicate and achieve better results. When students are aware of the purpose and benefit of functioning in teams and groups, they are more willing to adapt their behaviors for successful completion of all activities done in class. The paper might be of interest for school teachers and University lecturers interested in varying methods in teaching English and setting more convenient atmosphere for student to communicate and interact.
A MODEL FOR ACTIVATING TEACHERS FOR RURAL AREAS OF UNDERDEVELOPED COUNTRIES – IMPROVING DISTANCE LEARNING SKILLS

A MODEL FOR ACTIVATING TEACHERS FOR RURAL AREAS OF UNDERDEVELOPED COUNTRIES – IMPROVING DISTANCE LEARNING SKILLS
FUZZY LOGIC MENENTUKAN GURU TERBAIK MENGGUNAKAN METODE SUGENO DI BATAM SMK PUTRA JAYA SCHOOL

Teachers are teaching staff who educate and provide knowledge to students. Teachers must be able to protect without favoritism. Without the role of a good teacher, students may be easily influenced by bad things, therefore teachers must have quality human resources in order to provide teaching to students. Based on this background, the authors conducted research to determine the best teacher using the Sugeno method in one of the private schools in Batam, namely SMK Putra Jaya School. Assessments carried out include Understanding School Policies, Mastery of Materials, Discipline, and Educating Attitudes. With fuzzy logic the value obtained has a membership value between 0 and 1. For data processing using MATLAB. The first step is the completion of the best teacher assessment using the Sugeno method, namely by determining the input variables and output variables which are firm sets, the second step is to change the input variables into fuzzy sets with a fuzzification process. From the results of manual calculations and data testing in Matlab, the best results with the test are 1. Thus, Sugeno's fuzzy logic can be used to determine the best teacher at SMK Putra Jaya School.
Molweni: A Challenge Multiparty Dialogues-based Machine Reading Comprehension Dataset with Discourse Structure

Research into the area of multiparty dialog has grown considerably over recent years. We present the Molweni dataset, a machine reading comprehension (MRC) dataset with discourse structure built over multiparty dialog. Molweni's source samples from the Ubuntu Chat Corpus, including 10,000 dialogs comprising 88,303 utterances. We annotate 30,066 questions on this corpus, including both answerable and unanswerable questions. Molweni also uniquely contributes discourse dependency annotations in a modified Segmented Discourse Representation Theory (SDRT; Asher et al., 2016) style for all of its multiparty dialogs, contributing large-scale (78,245 annotated discourse relations) data to bear on the task of multiparty dialog discourse parsing. Our experiments show that Molweni is a challenging dataset for current MRC models: BERT-wwm, a current, strong SQuAD 2.0 performer, achieves only 67.7% F1 on Molweni's questions, a 20+% significant drop as compared against its SQuAD 2.0 performance.
UTILIZING CLUSTERING ALGORITHMS AND DATA ANALYTICS ON STUDENT ASSESSMENT DATA IN SECONDARY EDUCATION

Researching student assessment data through the process of data mining is very intriguing. Applying data analytics and clustering algorithms to student assessment data allows one to further research and discover unknown patterns, trends and connections that would not otherwise be detected. Clustering data allows student assessment data to be grouped and allows key policy makers, administrators and school districts to make more informed, data-driven decisions within their schools. The methodology chosen within this research is divided into six steps based on the data science process: 1) Frame the problem, 2) Collect the raw data needed for your problem. 3) Process the data for analysis, 4) Explore the data, 5) Perform in-depth analysis and 6) Communicate results of the analysis. The student data clusters will be spilt into 5 groups to gain the performance characteristics of students: advanced, proficient, passing, basic and minimum. We will use 2000 student data and four variables from State Assessment courses in: English (English 2), History (U.S. History), Mathematics (Algebra 1), and Science (Biology 1) focusing on freshman, sophomore and junior level high school students in a public school district. We are employing various data analytics methods to assist in informing educators about the importance of using data in assessing student performances on the different metrics of measuring learning progressions and increase graduation rates in secondary education.
Motion Analysis of Visual Line in Eye-gaze-based Character Input Process Using an Onscreen Keyboard

近年, 重度肢体不自由者が支援機器を用いるときの入力法として, 視線入力が一般化してきている. 現在の視線入力のユーザインタフェースであるオンスクリーンキーボードは, パソコンに実装されている一般的な方法を踏襲しており, 必ずしも眼球運動の特性・視覚認知特性を考慮して設計されていない. そこで本研究では, 視線入力に適したインタフェース設計の基礎研究として, 現在一般的な視線入力法を用いた文字入力で生じる視線停留の ｢場所・時間｣ ｢入力キーからの相対位置｣ を明らかにすることを目的とした. キー形状は円形と正方形の2つとし, キー形状ごとにキーボードの使用性に関してアンケート調査した. 視線停留は, その継続時間によって ｢短時間停留｣ ｢長時間停留｣ ｢文字入力｣ の3つに分類し, 区分ごとに発生率および原点を入力キーとする分布を調べた. その結果, インタフェースの使用性は, キー形状によらず低かった. 視線停留は, 長時間停留と文字入力が ｢入力するキー｣ ｢その周辺キー｣ に集中し, 短時間停留がキーボード上の広範囲で発生した. 円形キーの場合, 長時間停留と文字入力はターゲットキー周辺の比較的狭い領域で発生する傾向がみられた.
THE ERA OF CRITICAL DIGITAL LITERACY

Appears in: EDULEARN21 Proceedings Publication year: 2021Pages: 4324-4329ISBN: 978-84-09-31267-2ISSN: 2340-1117doi: 10.21125/edulearn.2021.0911Conference name: 13th International Conference on Education and New Learning TechnologiesDates: 5-6 July, 2021Location: Online Conference
Analysis on Grammatical Error of Student’s Writing Descriptive Text

The research paper is entitled “Analysis on GraError of Student’s Writing Descriptive Text”. The aims of the research were to find out what kinds of grammatical error made by eight grade students of SMP Negeri 1 Pasirjambu in writing descriptive text and to analyze what causes of the grammatical error in writing descriptive text. The sample of the data was collected by giving writing test , which consisted of 31 students. Qualitative research was used by the researcher as the research method. From the total of 246 sentences of the samples, the research finding showed that misformation was the highest error that students made in writing descriptive text. The percentage of the errors was 104 (53%) from the total error 196. Whereas, the lowest percentage of the error was found in misordering with the percentage 19 (10%). On the other hand, there were some causes of the error made by students of the eight grade of Junior High School in writing descriptive text suc as the language interference, carelessness and translation. The highest cause of error on percentage 53% was found in first language interference. Meanwhile, the lowest cause of error was translation with the total percentage 10 %. It showed that the students still had difficulties in writing descriptive text. It was caused by the language interference, the second was Therefore, the teacher had to give the appropriate method for the students in teaching descriptive text and using appripiate media and interesting material to help them easy to understand the lesson. So that the error related to writing descriptive text could be minimized.&#x0D; Key words: Descriptive text, error, error analysis, grammar
Resolving Learning Time and Space Constraints While Engaging in English language Learning-Acquisition among Open Distance Learners (ODL) Using Web-mobile Platforms; Edmodo and Telegram

Distance learning refers to any form of remote education where learners and educators use different technologies as an alternative approach in teaching and learning process to be able to deliver and exchange information.The use of Web-Mobile Platforms (WMPs); Edmodo and Telegram in language learning-acquisition among the undergraduate ODLs (open distance learners) enabled learners and educators to stay connected.This study aims to generate insights and sharing through a questionnaire and in-depth interview questions procedure on Edmodo and Telegram to seek the emerging themes and identify learners' perceptions in terms of learning time and space constraints in both contexts.The WMPs were used as the platform to accommodate learners' language learning materials and online discussion forums thus functioned as the scaffolding to facilitate learners' language learning-acquisition process.The study employs purposively sampling involving eleven undergraduate ODLs from a Malaysian university.The findings are presented in a narrative manner to illustrate the emerging themes and the pedagogical implications pertaining to how the WMPs break barriers by providing learners access to learning resources beyond the classroom learning time and space constraints and opportunities to communicate with their peers suggesting practicality and convenient ways of engaging in language learningacquisition via the WMPs thus bridge physical space and time constraints between them.