Reviewerly/exHarmony huggingface dataset:
Pengaruh model pembelajaran moody ditinjau dari motivasi belajar terhadap keterampilan menulis puisi pada peserta didik kelas V sekolah dasar

Abstrac t : This experimentation to get wind with three objectives, the first is to find out influence of the diference poetry writing skill between students that learned by Moody's lerning model and students that learned with Explicit Instruction learning model, the second is to find out influence of the differences in students who have high and low learning motivation towards poetry writing skills, the third is to find out the instraction betwen leaning model along with leaning motivation towards poetry writing skill. Population of study was all fifth grade of SD N in Bendosari region. There are 2 elementary schools as samples of research taken randomly using Cluster Random Sampling technique. The data collection technique of poetry writing skill was test techniques and learning motivation questionaire was non-test techniques in the form of questionaire. The data analysis technique used variance two-way analysis. The significance level used was 0.05. The results of the study showed that there are any effect of the differences in poetry writing skills betwen students who were taugh by Moody's learning model along with students were taugh using Explicit Instruction learning model , there are any effect of the differences in poetry writing skill between students who have high motivation and low motivation , and there is no interaction between learning model along with learning motivation towards poetry writing skill. Keyword : Moody , E xplicit Instruction , Learning Motivation, Poetry Writing Skill , Elementary school
SM-ILE: a framework for intrusion detection in an informal social environment based on users' traces

Social media is a novel technology, which uses internet and Web 2.0. It allows users to create and participate to several communities through different functionalities such as communication, collaboration, sharing, updating and interaction. The use of social media in learning field has been increased. Therefore, most educational institutions nowadays are using these technologies to enhance users' engagement. We propose in this paper an informal learning environment called SM-ILE (a trace-based framework for social media as an informal learning environment). This model aims at detecting intrusion learners to improve their learning by recommending to them good collaborators and relevant resources. Moreover, we analyse and qualitatively compare social media and informal learning related works. The proposed algorithm was applied to an informal social environment (http://sncl.ga). An experiment was conducted in a group of students in an Algerian university. The obtained results from this experiment were good and very efficient.
Renewable estimation and incremental inference in generalized linear models with streaming data sets

The paper presents an incremental updating algorithm to analyse streaming data sets using generalized linear models. The method proposed is formulated within a new framework of renewable estimation and incremental inference, in which the maximum likelihood estimator is renewed with current data and summary statistics of historical data. Our framework can be implemented within a popular distributed computing environment, known as Apache Spark, to scale up computation. Consisting of two data‐processing layers, the rho architecture enables us to accommodate inference‐related statistics and to facilitate sequential updating of the statistics used in both estimation and inference. We establish estimation consistency and asymptotic normality of the proposed renewable estimator, in which the Wald test is utilized for an incremental inference. Our methods are examined and illustrated by various numerical examples from both simulation experiments and a real world data analysis.
Network teaching target classification system based on cloud computing technology

Aiming at the problems of low security, low storage utilisation and low classification accuracy of the current network teaching target classification system, a classification system based on cloud computing technology is proposed. Considering the above design functions from the perspective of teachers and managers, the teacher's functions are resource management, sub-category management, information induction, and student management. The functions of managers are unit management, classification management, subject management, teacher management. Through the classification management method and resource management method, the classification of teaching resources is realised. The TEM based on cloud computing technology adjusts the resource classification result through clear and detailed resource data structure, and combines feature extraction, training algorithm and classification algorithm to complete the network teaching resources classification. The experimental results show that the security, storage utilisation and classification accuracy are high, which provides a guarantee for the development of the network teaching target classification system.
Using Dynamic Passwords for the Exchange and Sharing of Personal Health Records: A Reliable User Authentication Scheme

The personal health records (PHRs) is a patient-centered information exchange model that allows people to autonomously maintain and manage their own personal records, including access and share their lifelong health information. A method must be implemented to protect PHRs on unsecured network and to prevent unauthorized users from accessing and modifying the PHRs during data transmission with the servers. User authentication protocols should be able to ensure the safety of user communications and data transmission on unsecured networks. Password-based user authentication is the most widely used among the currently available authentication mechanisms because of its convenience and efficiency. A password mechanism offers advantages because of its simplicity and the dependence on human’s memories. On the other hand, it is easily cracked by brute force attacks such offline guessing attacks or spoofing attack and impersonation problems that may occur when the password is hacked. Therefore, this study aimed to investigate the usage of a dynamic password-based user authentication scheme on PHRs in which the characteristics of a dynamic password would prevent attackers from intercepting the correct password or guessing a user’s password. Additionally, the scheme developed in this study can also resist common attacks such as replay attacks, stolen-verifier attacks, server spoofing attacks, and impersonation attacks, among others.
EDUCATION AND TRAINING IN CYBER/INFORMATION SECURITY

Appears in: EDULEARN20 Proceedings Publication year: 2020Pages: 768-777ISBN: 978-84-09-17979-4ISSN: 2340-1117doi: 10.21125/edulearn.2020.0285Conference name: 12th International Conference on Education and New Learning TechnologiesDates: 6-7 July, 2020Location: Online Conference
10 Smart Ways to Earn or Build Backlinks to Your Website

When it comes to “backlinks”, these are sites that link to your site which are essential elements for most search engines in terms of ranking. So the ...
Practice of Liberal Arts Education at National Institute of Technology (KOSEN), Kumamoto College

This report describes the outline of the first-year experience of liberal arts education, “Introduction to Liberal Arts” introduced to National Institute of Technology Kumamoto College in 2019, and its verified effects. This course focuses on the combination of knowledge in various fields and the use of it outside classes. Therefore, the learning targets aim for the students to “experience goals” by experiencing the subject itself, as well as for them to “improve goals” in qualities, abilities and attitudes through learning. As a result of the verification conducted at the end of the course, it became apparent that the students had high satisfaction with the subject. Moreover, the students have become conscious of applying the acquired knowledge to other situations.
Determination of Heavy Metals Concentration in Nigeria Tar Sands

Abstract Nigeria's bitumen deposits are estimated at 37 billion barrels in reserve, covering 120 kilometers costal belts of the South-Western part of the country, with most of the reserves in Ondo state. With growing interests in the extraction of bitumen in Nigeria, it is important to note that development of tar sand contributes toxic metals to the environment. This research is focused on the determination of heavy metals concentration in Nigeria tar sands. Tar sand samples were collected from three different locations namely Aye Rail head, Loda Irele, and Agbabu in Ondo State. Heavy metal analysis was carried out to determine the concentrations of eight metals; Mn, Cd, Pb, Fe, Zn, Ni, Cr, and Cu using atomic absorption spectrophotometry techniques and energy dispersive x-ray Spectroscopy. Results obtained indicates that Fe had the highest concentration across the three samples with a concentration of 4.8 ppm, 6.075 ppm and 114.65 ppm in Aye Rail head, Loda Irele, and Agbabu samples respectively. Pb was not detected in Aye Rail Head sample, as Cd and Cr were not also detected in Loda Irele sample. For Aye Rail head sample, concentration of metals was low except for Fe, Ni, and Cr with values above the recommended standard set by WHO and NIS. Similarly, for Lori Irele sample, Pb, Fe and Ni showed higher concentrations. While the sample from Agbabu indicated a higher concentration of metals such as Mn, Cd, Pb, Fe, Ni and Cr, making it more toxic in terms of heavy metals. Amongst the heavy metals investigated, only Zn and Cu were below the recommended limits in the three samples. Results from this study provides information for exploration activities and environmental impact assessment of the region.
Clustering the Rainfall Stations in Thailand Using Self-Organizing Map

Abstract The purpose of this study is to classify the pattern of rainfall stations in Thailand over the period from the year 2000 to 2009 using Self-Organizing Map (SOM). The number of stations is collected based on the complete rainfall data during rainy season. The optimal cases of learning rate function and different two SOM array sizes are investigated. The Gaussian function is applied as the neighborhood function. The results show that linear function and the 2×2 SOM array size are most suitable for classifying the pattern of rainfall. The similar characteristic of daily rainfall in each station is clustered into four patterns. Thus, SOM can be classified the similar rainfall stations, efficiently.
EXPLORING INFORMATION AND COMMUNICATION TECHNOLOGY INTEGRATION IN LIFE SCIENCES TEACHING IN RURAL SCHOOLS IN SOUTH AFRICA

EXPLORING INFORMATION AND COMMUNICATION TECHNOLOGY INTEGRATION IN LIFE SCIENCES TEACHING IN RURAL SCHOOLS IN SOUTH AFRICA
NAVIGATIONAL CHARACTERISTICS OF DIGITAL TEXTS AS A FACTOR OF THE INFORMATION SEARCH EFFICIENCY

Appears in: EDULEARN20 Proceedings Publication year: 2020Pages: 8337-8341ISBN: 978-84-09-17979-4ISSN: 2340-1117doi: 10.21125/edulearn.2020.2057Conference name: 12th International Conference on Education and New Learning TechnologiesDates: 6-7 July, 2020Location: Online Conference
UIC delegation attends meeting from 10 – 11 February 2020 at ONCF headquarters in Rabat – UIC Communications

On 10 – 11 February a UIC delegation, represented by UIC Director General Mr Francois Davenne, and UIC Chief Financial Officer and UIC African Region Coordinator Thierry Bera, met Mr Mohamed Khlie,…
블록체인 기반 의료정보시스템 도입을 위한 의사결정모델

PurposeThe purpose of this paper is to observe the relative priorities of importances among the modified versions of Block chain system, being based on AHP decision support model which should be also proposed in this paper.Design/methodology/approachFour versions modified from the beginning of Block chain were divided into Public& Permissionless, Private&Permissionless, Public&Permissioned and Private&Permissioned types. Five criteria for evaluating the four versions whether the version were suitable for Medical information system were introduced from five factors of Technologies Accept Model, which were Security, Availability, Variety, Reliability and Economical efficiency. We designed Decision support model based on AHP which would select the best alternative version suitable for introducing the Block chain technology into the medical information systems. We established the objective of the AHP model into finding the best choice among the four modified versions. First low layer of the model contains the five factors which consisted of Security, Availability, Variety, Reliability and Economical efficiency. Second low layer of the model contains the four modified versions which consisted Public&Permissionless, Private&Permissionless, Public&Permissioned and Private& Permissioned types. The structural questionnaire based on the AHP decision support model was designed and used to survey experts of medical areas. The collected data by the question investigation was analyzed by AHP analysis technique.FindingsThe importance priority of Security was highest among five factors of Technologies Accept Mode in the first layer. The importance priority of Private&Permissioned type was highest among four modified versions of Block chain technologies in second low layer. The second importance priority was Private&Permissionless type. The strong point of Private&Permissioned type is to be able to protect personal information and have faster processing speeds. The advantage of Private& Permissionless type is to be also able to protect personal information as well as from forging and altering transaction data. We recognized that it should be necessary to develop new Block chain technologies that would enable to have faster processing speeds as well as from forging and altering transaction data.
Implementasi Program Inovasi 15 Menit Rindu Membaca Di Kabupaten Ciamis

In 2030-2040 Indonesia will face a demographic bonus so efforts to prepare for this mental revolution must be made to improve the quality of human resources. One way to do that is by increasing literacy culture among early childhood. This study aims to analyze the implementation of the 15-minute miss reading innovation program in Ciamis Regency and to find out the factors that hamper the implementation of the 15-minute miss reading innovation program. The method used is a descriptive analysis method with a qualitative approach. Where data collection through observation, interviews and documentation. The results of this study indicate that the 15-minute miss reading innovation program has the support of the local government with the issuance of the Regent's Decree as the basis for the running of this program, lack of coordination and human resources that have become a hindering factor for this program so that it has not run optimally, therefore the strategy undertaken is to carry out socialization about the importance of implementing an innovative 15-minute miss reading program for school children to create an independent, productive and quality young generation in facing the challenges of demographic bonus in Indonesia.
Time to Prepare for Voting by Mail

The general electionâ€™s timing is set by statute Nonetheless, it would be irresponsible to require people to vote in person in the midst of a pandemic Dramatic
Spatial Mapping of Heavy Metals Using Lichen Bioaccumulation Capacity to Assess Air Contamination in Morocco

Spatial mapping of the distribution of heavy metals was performed with the Inverse Distance Weighted technique (IDW) of ArcGis-10 information system (GIS).We propose an innovative study based on information system technology and lichen biomonitoring to assess air pollution. The results demonstrated that the contamination of heavy metals (HM) fluctuates with certain hotspots with a high concentration of Cr, Pd, Cu, Cr, and Fe.The spatial mapping showed that “SidiYayha El Gharb” is the most contaminated area not only due to lithogenic sources but also from industries and traffic. Spatial mapping shows that the environment is highly affected by industrial discharges, and remediation activities should be carried out urgently to prevent serious health problems and ecological disasters.
COMPARISON OF DIFFERENT CLASSIFIERS FOR SENTIMENT ANALYSIS ON SOCIAL MEDIA DATA

With the improvement of web technology and its evolution, for internet users there is a huge volume of data current inthe web and a lot of data is generated too. The Internet has become an electronic learning forum for expressing thoughtsand sharing views.This is where feature extractors and various machine learning classifiers are used. The extractors ofthe unigrams and features are unigrams, with definitive and negative keywords weighted. A system is designed thatseparates as a pair of components the function extractors and classificatory.This has become realistic that consumers areactually starting to look at product reviews that are available online before they purchase them. And for many companiesthe online assumption determines their product's success or failure. Sentiment Analysis therefore plays an significant rolein businesses.In order to advance their products and in turn their status and help in customer satisfaction, businesses alsowish to extract sentiment from the connected reviews. Semantics: The Algorithms classify the comprehensive feeling ofa tweet.It is possible to use a semantic position labeler which shows which noun is allied with the verb and therefore theclassification occurs.
The Importance Of Coaching In Improving Quality Of Teaching Process In A High Education

In the context of existing competition in the market of educational services every institution of higher education should strive for its products, i.e., Graduates, was competitive in the labor market, enjoyed stable demand and met the requirements and standards, and thus was high-quality. In turn, the university needs to achieve and constantly support its competitiveness in the educational services market. These principles of activity universities are priority in the current conditions. High quality education implies maximum compliance with that task, which must be solved in the course of graduate training. And the main task of the highest the school consists of training with a high level of professionalism as well as in meeting the needs of employers who are the main buyers of labor market forces. In the article, the author emphasized that because quality is not a static phenomenon, but a constantly evolving dynamic process, as long as the administration of the university and each participant of the educational process should be coordinated work to ensure the high quality of their work and their product. Author it is noted that increased attention should be paid by the administration of the university such an important management function as quality control of the educational process. At this emphasizes that the realization of this function is a multi-faceted, dynamic phenomenon, affecting various aspects of the activities of all participants in the educational process. The author devoted his research interest predominantly to two important aspects: Approaches to assessing the teacher 's level of professionalism through the eyes of the student and peer-to-peer evaluation of the quality of their work by teachers themselves.
CASE-STUDY AS AN ELEMENT OF PROBLEM-SITUATIONAL TRAINING FOR STUDENTS OF HUMANITARIAN, MANAGERIAL AND LEGAL AREAS OF EDUCATION

S. Fedyunina1, A. Fediunin2 1Povolzhsky Institute of Management named after P. A. Stolypin (RUSSIAN FEDERATION) 2Saratov State Law Academy (RUSSIAN FEDERATION)
A Study on the Implications through IT basic course Operating Case Analysis in Preliminary College

4차 산업혁명 시대의 급격한 변화는 융합이라는 키워드와 함께 정치, 경제, 사회, 문화, 교육 등 전 분야에서 소프트웨어가 주도하고 있다. 대학 교육에서도 융합과 소프트웨어를 통해 4차 산업혁명 시대를 대비하는 창의적인 미래형 인재를 육성하기 위한 출발점으로 예비대학을 활성화하려는 많은 노력을 하고 있다. 본 연구에서는 선행연구를 통해 예비대학 프로그램의 일환으로 컴퓨터 프로그래밍 기초 교과 프로그램을 설계하고 운영한 후, 193명의 예비대학생을 대상으로 하여 설문을 받았다. 설문 자료를 통해 기초 응답자 통계 분석, 객관식 설문 문항별 분석, 서술식 답변 분석을 시행하고 이를 통해 시사점을 살폈다. 그리고 향후 예비대학 프로그램의 목적에 맞는 프로그램 설계 시 고려할 점과 교양 교육과정과 연계하여 운영할 방법 등을 제시하여 봄으로써 예비대학 프로그램의 효과성을 높일 방안을 모색해보고자 했다.The rapid change in the era of the fourth industrial revolution, along with the keyword convergence, is being led by software in all areas, such as politics, economy, society, culture, and education. In college education, much effort is put to revitalize the preliminary college, which is a starting point for fostering creative future talents, in preparation for the era of the fourth industrial revolution through convergence and software. In this study, we designed and conducted a computer programming basic curriculum as part of the preparatory college program using prior studies, and then, 193 preliminary college students were surveyed. Using the survey data, basic respondent statistical analysis, multiple-choice question-by-item analysis, and narrative answer analysis are conducted, and the implications are examined. The results suggested the factors that need to be considered when designing a program suitable for the future college program and the need to develop a curriculum that can be applicable to the liberal arts curriculum as well. Also, I would like to find ways to improve the effectiveness of the preliminary college program.
STRATEGIES FOR TEACHING READING COMPREHENSION TOSTUDENTS WITH READING PROBLEMS

Reading comprehension is the key with which to unlock the world of knowledge especially in the present day information age. The paper examines reading comprehension strategies that students with reading problems need so as to succeed in school. The paper highlights instructional strategies for teaching comprehension at every level of education, and concludes with an advocacy not just to teach reading strategies, but to teach strategically in order to build content and support language development, thereby helping students with reading problems to become confident and successful readers
Perbandingan Algoritme C4.5 and Naive Bayes untuk Mengetahui Masa Studi

This research was to make comparisons between Algorithms C4.5 and Naive Bayes which is implemented on the data of graduation of Universitas Amikom Purwokerto students from 2011 to 2013 for Strata 1, Informatics Engineering study program for the renowned study. Attributes are NIM, gender, Achievement Index Semester 1 through 6 and graduation period. The test results with both algorithms use the Selection-Based Correlation feature feature (CFS) and testing methods using Confusion Matrix. Known Algorithm C4.5 has an accuracy of 72.679% with Precision value of 0.742, Remember 0.936 and F - Measure 0.828 whereas Naive Bayes obtained an accuracy of 73.6074% with a Precision value of 0.755, Remember 0.924 and F - Measure 0.831
BYOD (BRING YOUR OWN DEVICE) - STUDENT FACILITIES IN TEACHING AT PRIMARY SCHOOLS

Appears in: EDULEARN20 Proceedings Publication year: 2020Pages: 3308-3313ISBN: 978-84-09-17979-4ISSN: 2340-1117doi: 10.21125/edulearn.2020.0947Conference name: 12th International Conference on Education and New Learning TechnologiesDates: 6-7 July, 2020Location: Online Conference