Reviewerly/exHarmony huggingface dataset:
CREPS AND THE STREBER-APP AN INTERACTIVE METHOD FOR COMPETENCE-ORIENTED ASSESSMENT AND ITS DIGITAL IMPLEMENTATION

"Competence orientation and individualization are paradigms that are becoming increasingly important in modern education. However, especially in courses with many participants the implementation of competence-oriented teaching and assessing quickly exceeds the limits of the lecturer’s time resources. Peer evaluation is generally suitable for giving students individual and comprehensive feedback, at least if the quality of the feedback is high enough. Unfortunately, sometimes it's hard to motivate students to give high-quality feedback. The CREPS (Create, Review, Enhance, Practice and Score) method was created by the authors in early 2020. It offers an organizational framework that can be used regardless of the size of the student group without significantly increasing the effort for the lecturers. The focus is placed on the skills of self-evaluation and peer assessment, which are both important for competence orientation. The basic idea includes an iterating process in which students generate and enhance test questions based on the given learning content that are assessed and evaluated by their colleagues for quality, correctness, and complexity level. In addition, the best questions are selected for further practicing. Students are rewarded with points for each step in this process; highly appreciated work (good questions and valued feedback) will result in higher scores. This method and the Streber-App, a mobile application supporting the method, were originally developed for a media technology related university course and since then have been used in six courses in 2020, 2021 and 2022. To evaluate the method CREPS and the supporting app as well as to find out the students' views on and experiences with both method and application, more than 500 students were invited to participate in a quantitative survey. This paper presents the method CREPS, its underlying didactic considerations, the implementation with the mobile app and the most interesting results from the survey. The participants reflected these concepts and their acceptance in the learning setting. The students’ feedback on the use of the method, the support by the lecturers and the concrete implementation using our app, allows us to draw conclusions about the functioning of the previous application and possible improvement for further use. The self-assessment of the students on their individual learning success gives an indication of the benefits of the method in the university environment."
EVALUATION OF CONTINUOUS STUDENT FEEDBACK ON A LARGE COMPUTER SCIENCE COURSE

"In this article, we present a computer science course with 460 participants, where special interest was directed towards student feedback and two-way communication. The 7-week course was organized as an online course with automatically assessed exercises. Each week, the students answered a short survey about their learning experience, course difficulty level, and time spent on course activities. They were also asked to answer three open questions about what they had learned, what remains unclear and how would they improve the content. Quantitative and qualitative feedback data were analyzed for all seven weeks. In addition, we analyzed the student performance by observing the final grades obtained from the course. Based on the results, it seems that there is a positive correlation between engagement and final grades. Moreover, dynamically modifying the course on the fly based on continuous feedback seems to be a beneficial mechanism. Surprisingly, the teaching staff did not find it too laborious either. Finally, we provide experiences and suggestions for other educators for utilizing continuous feedback effectively."
EXTENDING NATURAL SCIENCES LEARNING IN PRE-SERVICE TEACHER EDUCATION USING AUGMENTED REALITY-ENHANCED INQUIRY

"As the world transitions to hybrid ways of working it is increasingly important that education is not left behind. The COVID-19 pandemic further exacerbated the need for teaching and learning to transition from face-to-face contact mode to remote, blended or hybrid modes of teaching and learning. In this study, a group of 32 pre-service Natural Sciences (NS) teachers engaged with Jigspace; a composite augmented reality (AR) application following an inquiry-based approach to learn identified NS concepts. The main aim of the research was to establish the usability of AR in PSTs’ learning and the affordances of AR technology as part of a teaching and learning design that could improve achievement in content tests. In a quasi-experimental design, data was collected through pre- and post-intervention content tests followed by post- intervention focus group interviews with all participants. A paired sample t-test was employed to establish a significantly positive shift in content test achievement before and after AR-enhanced learning interventions. Findings from qualitative content analysis revealed that students were able to interact and learn more with AR learning models due to their semi-immersive attributes and the associated text mediation added to the application. Participants noted that just reading a textbook or written text was not usually enough for the formation of mental representations. Gesticular actions like rotation, zoom in and out, animation, spinning, pulling and dragging underpinned the main interactions with learning artefacts embedded in the AR applications. Some important 21st century skills, including collaboration, critical thinking and communication were enhanced as students spent time exploring concepts and addressing difficulties in chat groups and social media platforms. The research also contributes primarily to the role of mobile learning devices and AR in enhancing remote and blended learning of science concepts. Some implications of these findings for pre-service teacher education (PSTE) include: an urgency to transform NS teacher training to include technology-enhanced learning of science concepts: reforms in school policy to integrate mobile learning technologies like AR for the teaching and learning of science which will aid teachers to innovate when teaching science. Some recommendations for future research and practice are also covered herein."
A Sentiment Analysis Approach for the Cryptocurrency Market and Blockchain Technology Using Naïve Bayes, Support Vector Machine and Random Forest

Virtual currencies or cryptocurrencies are based on Blockchain technology, also known as distributed ledger technology.As of March 2022, there are already over 10k virtual coins, their number being continuously growing since 2013.This paper aims to extract the public sentiment expressed towards the cryptocurrency market and Blockchain technology, two topics widely debated in the last decade.Our research was based on the use of Twitter data, collected with the help of an API in the RStudio environment.To identify the sentiment associated with the 5,000 tweets collected, we used the Bing lexicon approach and three supervised learning algorithms.The three classifiers are the Naive Bayes classifier, a Support Vector Machine and Random Forest algorithm.The accuracy of these algorithms was analyzed through four metrics, finding that the Random Forest classifier proved to be the most accurate, while the SVM algorithm offers the weakest results in terms of classification.The sentiment analysis conducted with the help of the Bing lexicon indicated a predominantly positive sentiment of online users regarding the cryptocurrency market and Blockchain technology.The present paper is structured as follows.The first part highlights a brief introduction to the issue of text mining analysis, as well as the area of supervised learning.Subsequently, a revision of the specialized literature in the approached subject is highlighted, by referring to some pertinent studies in this direction.The methods used as well as the data involved in this study are described in the chapter dedicated to research methodology.The paper continues with the presentation of the main results of the research, as well as with the highlighting of the conclusions and of some future research directions.The study concludes with an exposition of bibliographic sources.
Analysis of the Influence of Social and Economic Factors on COVID-19 Cases with the Principal Component Analysis (PCA) Method

Coronavirus Disease 2019 (COVID-19) is a disease caused by the SARS-CoV-2 virus which infects the human respiratory. On March 11, 2019, World Health Organization (WHO) officially declared the COVID-19 outbreak as a global pandemic because in less than three months it had infected more than 120,000 people in 123 countries from Asia, Europe, United States, to South Africa. This rapid growth of cases is caused by many factors. Therefore, the author wants to examine social and economic factors in 29 countries regarding the COVID-19 case. In this study, the author uses 122 variables; consisting of 107 variables from social factors and 15 variables from economic factors. Because the number of variables used was quite large, the author reduced the data using the Principal Component Analysis (PCA). Then, 15 main components are formed from the results of the application of PCA carried out on 122 variables. It will then be used to form a regression equation for the COVID-19 case which consists of the average new cases of COVID-19 per day, the rate of infected population COVID-19, the percentage of deaths caused by COVID-19, and the percentile of the new cases of COVID-19 per day.
Research on the Cognitive Degree of Pre-service High School Mathematics Teachers for Data Analysis Literacy

Currently, data analysis literacy has attracted more and more attention from all walks of life. Many relevant problems about it have been studied except the cognitive degree of data analysis literacy of pre-service high school mathematics teachers. This study investigates 51 pre-service high school mathematics teachers' cognitive degree of data analysis literacy by using the method of open interview. After analyzing, it is found that: 1. The scope of cognition of the current pre-service high school mathematics teachers' data analysis literacy is not wide, and more than half of the content of data analysis literacy has not been realized by many pre-service teachers yet; 2. The cognition of many pre-service teachers is not deep and lacks continuity or gradualness; 3. The cognition of many pre-service teachers for many aspects of data analysis literacy is not very clear. Therefore, it is suggested that: 1. Experts and teachers responsible for training work should pay more attention to data analysis literacy and add relevant courses; 2. Pre-service high school mathematics teachers should understand the content of data analysis literacy comprehensively and deeply and clarify relevant statements.
Solar irradiation forecastby deep learning architectures

Global solar irradiation data is a crucial component to measure solar energy potential when we plan, size, and design solar photovoltaic fields. Often, due to the absence of measuring equipment at meteorological stations, data for the place of interest are not available. However, solar irradiation can be estimated by ordinary meteorological data such as humidity, and air temperature. Herein we propose two different deep learning methods, one based on a deep neural network regression and the other based on multivariate long short term memory unit networks, to estimate solar irradiation at given locations. Validation criteria include mean absolute error, mean squared error, and coefficient of determination (R2 value). According to the simulation results, multivariate long short term memory unit networks performs slightly better than deep neural network. Even though both have very close R2 values, multivariate long short term memory?s R2 values are more consistent. The same is true for mean squared error and mean absolute error.
IMPROVING STUDENTS’ SPEAKING SKILL BY USINGWORD WALLMEDIA AT THE SEVENTH GRADE STUDENTS OF SMP NEGERI 10 PEMATANGSIANTAR IN THE ACADEMIC 2019/2020

In speaking, media are helpful in improving students’ speaking skill. This research is about Improving Students’ Speaking Skill by Using Word Wall Media at the seventh grade students of SMP Negeri 10 Pematangsiantar in the academic year 2019/2020. The material which will be tested is about descriptive text. The students are lack of confidence in speaking English because they think their pronunciation is not good and it makes them difficult to produce meaningful sentences. In this research, the researcher try to apply the Word Wall Media as the media in teaching speaking. The main objectives of this research are to find out the speaking skill of the students after being taught using Word Wall Media. the samples of this research were 14 students of seventh grade. The data were form of quantitative data. The step of research procedure are conducting pre-test, treatment, post-test, and data analysis. The result of the students’ progress during the teaching learning process by using word wall media was good. The finding also proved that in pre-test students average score was 38.571 and post-test score was improved to 81.875 and standart deviation of pre-test score was 3.498 and standart deviation of post-test score was 4.857. It means that the teacher could use Word Wall Media as one of the media in improving students’ speaking skill
Pelatihan Penggunaan Platform Digital sebagai Media Pembelajaran Daring di Masa Pandemi Covid19 untuk Sekolah Dasar

Early in 2020, the world was shocked by a new type of influenza virus that was first identified in the city of Wuhan, Hubei province, China at the end of 2019. The international health organization, the World Health Organization (WHO), declared the urgency of health problems related to the SARS-Cov virus. 2 which later became known as COVID-19. Efforts to suppress the number of cases spread have been carried out in various ways, one of the efforts made by learning at all levels of schools to be transferred to the digital realm or known as online learning. Due to the lack of time allotted for preparation, a number of educators and students are deemed not ready to implement online type learning. . Therefore, various efforts are needed to help broaden the insight of educators and students for the smoothness of the online learning process such as training on the use of online learning digital platforms. The output of training in using this digital platform can be in the form of additional insights and experiences for training participants. Various types of platforms are introduced to teachers as trainees. However, from the survey results, the platform in the form of video conferencing was most in-demand with an interest percentage of 89.47%.
THE IMPROVING STUDENTS’ READING DESCRIPTIVE TEXT COMPREHENSION ABILITY THROUGH CONTEXT CLUES STRATEGY OF VII GRADE STUDENTS’ AT SMP NEGERI 1 SIDAMANIK

This experimental study aimed to find out the improving of Context Clues Strategy on Reading Descriptive Text Comprehension. This research was used one group pre-test and post-test design. The reason for conducted this research because students’ tend to used dictionary when they read English text in order to find the meaning of difficult word. However, they may not use dictionary or somes stuff then can help them to understand English text in joining examination. This condition makes students’ difficult to comprehend the English text because they faced different context. So, students should know about reading strategy to increase the reading comprehension without using dictionary or another instrument. One of the appropriate reading strategies to increase the students’ reading comprehension descriptive text ability is context clues. The sample of this research was the seven grade students’ especially class VII/D at SMP NEGERI 1 SIDAMANIK. The participants were 34 students. The step of research procedure are conducting pre-test, treatment, post-test and data analysis. The data analysis by using table categories. The data analysis showed there is significant improving of using Context Clues Strategy on reading descriptive text comprehension. The finding also proved that in the pre-test students mean score was only 39.11 and post-test score was improved to 71.11 and standard deviation of pre-test score was only 6.78 and post-test score was 12.08
THE USE OF INTERPERSONAL INTELLIGENCESTRATEGY TO IMPROVE STUDENTS’ WRITING ABILITY AT THE EIGHT GRADE STUDENT OF SMP SWASTA TAMAN ASUHAN PEMATANGSIANTAR IN ACADEMIC YEAR 2019/2020

This experimental study aimed to find out the improving of Context Clues Strategy on Reading Descriptive Text Comprehension. This research was used one group pre-test and post-test design. The reason for conducted this research because students’ tend to used dictionary when they read English text in order to find the meaning of difficult word. However, they may not use dictionary or somes stuff then can help them to understand English text in joining examination. This condition makes students’ difficult to comprehend the English text because they faced different context. So, students should know about reading strategy to increase the reading comprehension without using dictionary or another instrument. One of the appropriate reading strategies to increase the students’ reading comprehension descriptive text ability is context clues. The sample of this research was the seven grade students’ especially class VII/D at SMP NEGERI 1 SIDAMANIK. The participants were 34 students. The step of research procedure are conducting pre-test, treatment, post-test and data analysis. The data analysis by using table categories. The data analysis showed there is significant improving of using Context Clues Strategy on reading descriptive text comprehension. The finding also proved that in the pre-test students mean score was only 39.11 and post-test score was improved to 71.11 and standard deviation of pre-test score was only 6.78 and post-test score was 12.08
Revisiting Security Vulnerabilities in Commercial Password Managers

In this work we analyse five popular commercial password managers for security vulnerabilities. Our analysis is twofold. First, we compile a list of previously disclosed vulnerabilities through a comprehensive review of the academic and non-academic sources and test each password manager against all the previously disclosed vulnerabilities. We find a mixed picture of fixed and persisting vulnerabilities. Then we carry out systematic functionality tests on the considered password managers and find four new vulnerabilities. Notably, one of the new vulnerabilities we identified allows a malicious app to impersonate a legitimate app to two out of five widely-used password managers we tested and as a result steal the user's password for the targeted service. We implement a proof-of-concept attack to show the feasibility of this vulnerability in a real-life scenario. Finally, we report and reflect on our experience of responsible disclosure of the newly discovered vulnerabilities to the corresponding password manager vendors.
THE USE OF NEUROLOGICAL IMPRESS METHOD (NIM) TO IMPROVE STUDENTS’ READING ABILITY AT THE EIGHT GRADE OF SMP TAMAN ASUHAN PEMATANGSIANTAR

This research is focused in learning reading by using Neurological Impress Method (NIM) at SMP Swasta Taman Asuhan Pematangsiantar in the academic year 2019/2020. This study use pre-test, treatment, and post-test. By this research, it is hopes that it can be useful to improve reading ability with using Neurological Impress Method (NIM). The writer took 32 students in VIII-1 SMP Swasta Taman Asuhan Pematangsiantar as the sample of the research. The data were obtained by using pre-test and post-test, the pre-test was given of the students in VIII-1 before the treatment and the post-test was given after the treatment. To analyze the data and answer the problem, the writer used the theory from Arikunto Suharsimi. The data collection instrument is a multiple choice consisting of 10 items, and how to analyze it by following the correct answer based on the text and form each question the value 1. This research is focused on learning to read by using the Neurological Impress Method (NIM) at SMP Swasta Taman Asuhan Pematangsiantar in 2019/2020. This research uses pre-test, treatment, and post-test. With this research, it is expected to be useful to improve reading skills by using the Neurological Impress Method (NIM). The writer took 32 students in VIII-1 SMP Swasta Taman Asuhan as a research sample. Data were obtained using pre-test and post-test, pre-test was given to students in VIII-1 before treatment and post-test was given after treatment. To analyze data and answer problems, the authors use the theory of Arikunto Suharsimi. The data collection instrument was a multiple choice consisting of 10 items, and how to analyze it by following the correct answers based on the text and forming each question with a value of 1. From the results of the pre-test, an increase in students' abilities can be seen from the percentage of 71.87% and increased to 100% in the pot test, the mean score of the pre-test was 5.75 and increased to 8.75 in the post-test, standard deviation pre-test and post-test 1.75. From the results of data analysis the writer found that the facts using the Neurological Impress Method (NIM) students were better than before using the Neurological Impress Method (NIM), the results of the pre-test and post-test were significant influences in the use of the Neurological Impress Method (NIM) in the ability reading students in narrative text
THE USING OF RIDDLE TECHNIQUE TO INCREASE STUDENTS’ VOCABULARY MASTERY IN DESCRIBING PEOPLE AT SMA SWASTA KARTIKA 1-4 PEMATANGSIANTAR

The objective of the research is to analyze the effect of the using Riddle Technique to increase the students’ vocabulary mastery. This research is conducted in SMA Swasta Kartika 1-4 Pematangsiantar. The population of this research is class X at SMA Swasta Kartika Pematangsiantar. In which total class X are 6 classes as many as totally is 228 students. In this research, the researcher uses random sampling. the sample of this research is students of X IS-1at SMA Swasta Kartika 1-4 Pematangsiantar, as many as 38 students and this research was just conducted one class with two cycle. This research method use a quantitative method and was designed in a Classroom Action Research. The focus of this research is intended to answer the problem about teaching vocabulary by using riddle technique to the tenth IS-1 grade students of SMA Swasta Kartika Pematangsiantar is effective or not. In this part, the data is calculated to show the total of score of pre-test and post-test, to show the avarage score of pre-test and post-test, to show the standart deviation and to show the significant difference.From the data analysis above the total score of pre-test is 1911 and the total score of post-test I is 3169. The avarage of post-test I is 83,39. Then the researcher do the post-test II and the total score is 3437. The avarage of the post-test II is 90,45. The value of mean score different is 7,06. The value of t-test is 9,29, the standart deviation is 8 and the significant difference is 0,9.Based on the result of the data analysis, it was obtained that there is difference of post-test I and post-test II namely : the mean score different is 7,06, t-test is 9,29, the standart deviation is 8 and the significant difference is 0,9. It means that the use of riddles technique is effective for teaching vocabulary to the tenth grade IS-1 SMA Swasta Kartika Pematangsiantar. From the result of the research can be conclude that riddle technique can give effect to increase students’ vocabulary mastery in describing people