Reviewerly/exHarmony huggingface dataset:
실시간 온라인 한국어 수업 환경에서의 교수자 및 학습자 인식에 대한 사례 연구 -H대학교를 중심으로-

This study aims to investigate how instructors and learners understand the online and offline classes along the changing environment of language learning. This study seeks to draw implications on possible methods for Korean education by investigating instructor and learner satisfaction as well as (in)effective sectors in online classes. In order to achieve such goal, a survey has been conducted on exchange students and instructors involved in the Korean Language Learning Program offered at H University from April 13th of 2020 to June 5th of the same year. The result of the asynchronous online class satisfaction survey indicated that online classes are effective for learning vocabulary and grammar. On the other hand, student interaction including rapport formation and immediate Q&A were more active in offline classes compared to that of online classes. Also, the instructors and students had varying opinion on the sectors they enjoyed or found challenging in online classes, and the difference was the most significant in speaking and listening sectors. In order to enhance satisfaction in online Korean language classes, consistent effort must be made to conduct more studies on effective teaching and related cases. (Hansung University)
Teaching the concept of techno-utopia as a unity of utopian and distopic discourses

The cybertopias of the future combine two traditional mechanisms of utopian thinking: belief in the scientific progress and technologies capable of freeing life from restrictions restraining creative freedom (utopianism) and simultaneously criticizing a technological society with its dehumanizing potential (dystopism). In the context of virtual utopia, technology is becoming a way of transforming the individual and improving society, on the one hand, and a tool of human self-knowledge and a field of critical understanding of the negative consequences of global technologization, on the other hand. Technological change reconstructs the human community to such an extent that it gives rise to the concept of digital utopia - - due to the peculiarities of development and implementation of the Internet technologies in the everyday life of mankind. This article includes an attempt to teach cyberspace as a product of human creativity itself, which will allow studying the virtual reality more accurately and impartially: both the current present of the information society and its possible future.Keywords: Cyberspace, utopia, dystopia, digitopia , techno-romantic utopia, en-topia. RESUMENLas cybertopias del futuro combinan dos mecanismos tradicionales del pensamiento utopico: la fe en el progreso cientifico y las tecnologias capaces de liberar la vida de las restricciones que restringen la libertad creativa (utopia) y al mismo tiempo criticar a una sociedad tecnologica con su potencial deshumanizador (distopismo). En el contexto de la utopia virtual, la tecnologia se esta convirtiendo en una forma de transformar al individuo y mejorar la sociedad, por un lado, y en una herramienta de autoconocimiento humano y un campo de comprension critica de las consecuencias negativas de la tecnologizacion global, por otro. mano. El cambio tecnologico reconstruye la comunidad humana hasta tal punto que da lugar al concepto de utopia digital - - debido a las peculiaridades del desarrollo e implementacion de las tecnologias de Internet en la vida cotidiana de la humanidad. Este articulo incluye un intento de ensenar el ciberespacio como producto de la propia creatividad humana, lo que permitira estudiar la realidad virtual de forma mas precisa e imparcial: tanto el presente actual de la sociedad de la informacion como su posible futuro.Palabras clave: Ciberespacio, utopia, distopia, digitopia , utopia tecno-romantica, en-topia.
INVESTIGATING ENGLISH TEACHERS’ STRATEGIES IN INCREASING THEIR ENTHUSIASM WHEN TEACHING ENGLISH AT SMPIT UKHUWAH BANJARMASIN

The research is to find out the English teachers’ enthusiasm strategies and to analyze whether the teachers’ strategies being maximally, minimally, or do not impact on their enthusiasm when teaching. The subject of this research is three English teachers at SMPIT Ukhuwah Banjarmasin academic year 2018/2019. The object of this research is to analyze the strategies that used by English teachers in increasing their enthusiasm when teaching. In collecting the data , the researcher uses some techniques such as observation and interview. Data analysis technique in this research is divided into three phases: verification or drawing, editing, and conclusion. Then, all the data are analyzed descriptively and qualititatively. The result showed that the English teacher at SMPIT Ukhuwah have six practical strategies that commonly used by English teacher, those are preparing the additional English lesson material, designing the interesting and different activities, controlling the self emotional, giving achievement/reward, remotivating theirself when down/unexcited in teaching, and telling humor when teaching. It is also found that the English teacher have the varying level of enthusiasm measurement in every teachers and generally being maximally impact on their enthusiasm in teaching.
Robust sparse Bayesian infinite factor models

Most of previous works and applications of Bayesian factor model have assumed the normal likelihood regardless of its validity. We propose a Bayesian factor model for heavy-tailed high-dimensional data based on multivariate Student-t likelihood to obtain better covariance estimation. We use multiplicative gamma process shrinkage prior and factor number adaptation scheme proposed in Bhattacharya and Dunson [Biometrika 98(2):291–306, 2011]. Since a naive Gibbs sampler for the proposed model suffers from slow mixing, we propose a Markov Chain Monte Carlo algorithm where fast mixing of Hamiltonian Monte Carlo is exploited for some parameters in the proposed model. Simulation results illustrate the gain in performance of covariance estimation for heavy-tailed high-dimensional data. We also provide a theoretical result that the posterior of the proposed model is weakly consistent under reasonable conditions. We conclude the paper with the application of the proposed factor model on breast cancer metastasis prediction given DNA signature data of cancer cells.
Derin Öğrenme Modelleri ile Kimlik Avı E-posta Tespiti

Social engineering is the art of getting information (deception) from people with using technology or without using technology. The vast majority of the attacks facing today are human origin, and likewise, these attacks target computer users. Human being who is the weakest link in the security chain shows various weaknesses in the security process, due to human being’s variable behavior in different times. Phishing that is a kind of social engineering attack is technically created to capture consumers' financial or personal information. Phishing is the one of the biggest challenges for the e commerce world. Many companies and individuals lose billions of dollars because of phishing attacks. This global impact of phishing attacks will continue to increase therefore, more effective phishing detection techniques need to be developed to reduce threats. A detection method which is created by using deep learning models against phishing email attacks is proposed in this work. Various deep learning models were trained using the features obtained from the head and body parts of incoming e-mails in the proposed method. As a result of the tests, a 96.84% success rate was achieved with this detection method proposed against phishing attacks.
PENGARUH PEMBERIAN REWARD DAN PUNISHMENT TERHADAP MINAT BELAJAR SISWA KELAS IV SD NEGERI SE-GUGUS WR SUPRATMAN

Abstrak Penelitian ini bertujuan untuk mengetahui pengaruh: (1) pemberian reward dan punishment terhadap minat belajar; (2) pemberian reward terhadap minat belajar; dan (3) pemberian punishment terhadap minat belajar. Penelitian ini menggunakan pendekatan kuantitatif dengan metode ex-post facto. Populasi dalam penelitian ini adalah siswa kelas IV SD Negeri se-Gugus WR Supratman Kecamatan Kaligesing, Kabupaten Purworejo dengan total 116 siswa dengan sampel penelitian berjumlah 90 siswa yang ditentukan menggunakan teknik Simple Random Sampling dengan rumus Slovin. Teknik pengumpulan data menggunakan skala psikologi. Uji validitas instrumen menggunakan teknik expert judgement, sedangkan daya beda menggunakan korelasi product moment, dan reliabilitas menggunakan alpha cronbach. Uji prasyarat analisis menggunakan uji normalitas, uji linearitas dan uji multikolinearitas. Teknik analisis data adalah regresi ganda. Hasil penelitian menunjukkan bahwa (1) pemberian reward dan punishment berpengaruh terhadap minat belajar dengan sumbangan 44,2%; (2) pemberian reward berpengaruh terhadap minat belajar siswa dengan sumbangan 34,23%; (3) pemberian punishment bepengaruh terhadap minat belajar siswa dengan sumbangan 9,97%; dan (4) hasil persamaan garis regresi adalah Y = 29,974 + 0,528X1 + 0,226X2. Kata kunci: reward, punishment, minat belajar. Abstract This research aims at knowing: (1) the effect of reward and punishment towards learning interest, (2) the effect of reward towards learning interest, and (3) the effect of punishment towards learning interest. This research used quantitative research design with ex-post facto method. The population in this research were all of fourth grade student in WR Supratman Cluster Kaligesing Sub-district Purworejo Regency whose total number 116 students with the sample of this research were 90 students that taken used simple random sampling with slovin formula. The data collection technique used psychology scale. The instrument validity used expert judgment technique, while validity of item used product moment correlation, and reliability used cronbach alpha. The analysis techniques that had been used were the normality test, the linearity test, and multicollinearity test. The analysis of data used multiple regression analysis technique. The result of the research show that (1) reward and punishment had an effect on student learning interest with contribution of 44,2%; (2) reward had an effect on student learning interest with contribution of 34,23%; (3) punishment had an effect on student learning interest with contribution of 9,97%; and (4) the result of regression line equation was Y = 29,974 + 0,528X1 + 0,226X2. Keywords: reward, punishment, learning interest.
Automated Detection of Cyberbullying Against Women and Immigrants and Cross-domain Adaptability

Cyberbullying is a prevalent and growing social problem due to the surge of social media technology usage. Minorities, women, and adolescents are among the common victims of cyberbullying. Despite the advancement of NLP technologies, the automated cyberbullying detection remains challenging. This paper focuses on advancing the technology using state-of-the-art NLP techniques. We use a Twitter dataset from SemEval 2019 - Task 5(HatEval) on hate speech against women and immigrants. Our best performing ensemble model based on DistilBERT has achieved 0.73 and 0.74 of F1 score in the task of classifying hate speech (Task A) and aggressiveness and target (Task B) respectively. We adapt the ensemble model developed for Task A to classify offensive language in external datasets and achieved ~0.7 of F1 score using three benchmark datasets, enabling promising results for cross-domain adaptability. We conduct a qualitative analysis of misclassified tweets to provide insightful recommendations for future cyberbullying research.
GAMIFICATION AS A METHOD INCREASE MOTIVATION OF STUDENTS TO LEARN FRENCH

The article considers gamification as one of the possible ways to increase students' motivation to learn French by using online gaming resources. Special attention is paid to the gradual development of grammar and vocabulary.
The 100th Anniversary of the Gorky House of Scientists of RAS

The article briefly describes the establishment, functioning and activities in selected periods of the national history of the Gorky House of Scientists - the first House of Scientists in our country. Russian scientific and pedagogical community celebrated its centenary at the beginning of this year. The authors emphasize the social function of the House of Scientists activities. Their significance historically had been most pronounced during the hardest times for our country. The paper determines the role of the House of Scientists as a center for interprofessional communication and reproduction of researchers. In 1932 the House of Scientists was named after M. Gorky. In 1937 it was placed under the USSR Academy of Sciences. In the same period, scientific sections began to form, scientific conferences were held, and cultural and educational work intensified. The features of functioning of the House of Scientists in the pre-war period, during the Great Patriotic War and in the first arduous post-war years are highlighted. The authors focus on activities of the Gorky House of Scientists starting from the second half of the 1950s when its function as a center for interdisciplinary scientific communication became more and more pronounced. A fundamental step in this direction was the creation in 1956 of the cybernetics section at the House of Scientists, the leadership of which was initially assumed by the Nobel laureate L.V. Kantorovich (1912-1986). Then, for more than thirty years, the work of the section was led by Professor L.P. Kraizmer (1912-2002). Shortly before the section of cybernetics, in 1953-1954, the section of economics and statistics at the House of Scientists was created (currently - the section of socio-economic problems and statistics). Milestones for the section of socio-economic problems and statistics of the Gorky House of Scientists are outlined in the article by I.I. Eliseeva and A.L. Dmitriev, published in the journal “Voprosy statistiki” (2018, No. 8, pp. 52-65).
An Expected Value Prediction of Game Theory for Pre-copy over Cloud Computing

Virtual Machine (VM) in a cloud environment has become popular. An operating system (OS) can be installed on a VM platform which emulates a real machine in a cloud environment. In such a setup, the physical host can be taken offline for maintenance and the service continues. This approach relies on Pre-copy live migration technique. With this technique, one of the challenges is how to ensure that the existing memory pages can be securely migrated to the alternative host without wasting unnecessary migrations; having minimum migrations will reduce the total migration time. In this paper, the authors propose a method which uses the expected value of Game Theory over the Gilbert-Elliot (GE) model to predict memory migration. Furthermore, with this method, it is envisaged when the service of the original physical host is halted it can reduce the delay when VM migrates to an alternative host. By the simulations, it is observed that using the Game Theory model is faster than the method in the GE model to obtain the “CUT-OFF” point in varied memory states.
A Case Study of Connecting EFL Course Content with College Students’ Major Areas of Study in Mandatory EFL Classes

This study attempted to examine the possibility of drawing connections of prescribed EFL course content with the students’ major areas of study in a mandatory EFL classroom at a South Korean university and analysed how the students made associations. Data were collected through in-class presentation planning sheets, video-recorded presentations, surveys, and related documents. The 15-week in-class project seemed to help the students improve their English skills and provided them an opportunity to explore content in their major fields. Of particular note are the presentations of Chinese majoring groups that actively utilized their content course textbook written in Chinese but with an English translation and one Chemical Engineering group that did research about laughing gas, reinforcing the content knowledge in a language class and expanding field-relevant vocabulary and expressions respectively. It is meaningful that this study attempted to find a niche in a very limited EFL learning environment through a challenging activity to integrate the students’ major course content into EFL classes.
Analisis Kesalahan Berbahasa Bidang Sintaksis Pada Rubrik “Keluarga” Surat Kabar Kedaulatan Rakyat Edisi 16 Februari 2020

This study aims to determine the mistakes in the Indonesian language in the field of syntax in the Kedaulatan Rakyat newspaper. The date source of this research is the family rubric in the Kedaulatan Rakyat newspaper, February 16, 2020 edition. In this study, the methods and data collection techniques use the note note method. The references used in this study are the Big Indonesian Dictionary online (KBBI), the Indonesian Spelling General Guidelines Acronym (PUEBI) and the opinions of experts conveyed through research relevant to this research. From the results of the analysis there were 9 syntactic language errors in the Kedaulatan Rakyat newspaper rubric of this family. Including 6 redundant words, 2 inappropriate word choice, and 1 anaphora (inaccurate cross-references). Keywords: Error, Language, Field, Syntactic, Newspaper
Integrating augmented reality for learning: working with pre-service teachers

The purpose of this manuscript is to describe a scaffolded learning project for Pre-Service Teachers (PSTs) to develop and integrate Augmented Reality (AR) technology into their classroom instruction. The project was an assignment in a course, Applications of Educational Technologies, primarily for junior and senior undergraduate students in a state university in the Midwest. The ADDIE instructional design model - Analyse, Design, Develop, Implement and Evaluate - was used as a theoretical framework to guide the project. The paper takes a reflective approach to share instructor experience of working with PSTs through the project to develop an AR-integrated lesson. The paper introduces AR as a classroom learning tool and provides detailed descriptions regarding how the instructor worked with PSTs through this project. Finally, the paper concludes with instructor's reflections including lessons learned, suggestions for integrating AR assignments into PST training, and recommended strategies to enhance similar projects working with PSTs.
Long read: how blockchain can make electronic voting more secure

While a great deal of our lives have moved online, voting by and large still takes place using paper ballots. Amrita Dhillon, Grammateia Kotsialou, Peter McBurney and Luke Riley write that controversies over the expected surge of mail-in ballots in the US November elections due to the COVID-19 pandemic underscore the need to modernise the mechanics of voting.
PENGARUH EFIKASI DIRI TERHADAP KEMANDIRIAN BELAJAR SISWA

THE EFFECT OF SELF-EFFICACY ON STUDENT LEARNING INDEPENDENCEThis research is a quantitative research with a causal approach, the purpose of this research is to know the effect of self-efficacy towards the independence of student learning. The population of this research 215 students of fifth grade in Elementary Schools as a group two, Bojonggenteng sub District, Sukabumi Regency in 2020/2021 with the quantity of sampple a’s much 68 students. The results of this reasearch indiactes there in the effec of self-efficacy towards the indeendence of student learning with coefficientvalue of path as big as 0,63 and a regression equation Ŷ = 10.12+ (0.93X). that thing means that every enhancement one unit self-efficacy (X) will increase the independence of student learning (Y) as big as 0.93 units. The contribution of the self-efficacy variable in increase independence of student learning (r²) as big as 0.40 with determination coefficient cooficient as bis as 40% and the remain 60% can be affected by other factors. Based in research above, we can conclude that there is a positive influence of self-efficacy towards the independence of student learning. This thing means that one of the factors in increasing independence of student learning ability is by increasing self-efficacy
PERANCANGAN MUSEUM SEJARAH ISLAM NUSANTARA DENGAN PENERAPAN ARSITEKTUR NUSANTARA DI JAKARTA BARAT

Abstract                The Museum of Islamic History of the Archipelago is an answer to the problem of the differences between Islamic groups in the archipelago. So that the museum can provide information to the public about how Islam came to the archipelago peacefully without military support, both politics, solely preaching and also trading, then they marry local residents. Provide information to the public that our country is a unity between Indonesian and Islamic.Nusantara Architecture is an architectural art that focuses on the potential of culture, tradition, and climate conditions in the Indonesian archipelago. To support the concept of the Nusantara Islamic History Museum building, it will use the concept of Archipelago Architecture which will strengthen the characteristics of every diversity that exists in the archipelago and can provide education to visitors about the importance of knowing the cultural diversity of this country of Indonesia.
A Generative Approach for Detection-driven Underwater Image Enhancement.

In this paper, we introduce a generative model for image enhancement specifically for improving diver detection in the underwater domain. In particular, we present a model that integrates generative adversarial network (GAN)-based image enhancement with the diver detection task. Our proposed approach restructures the GAN objective function to include information from a pre-trained diver detector with the goal to generate images which would enhance the accuracy of the detector in adverse visual conditions. By incorporating the detector output into both the generator and discriminator networks, our model is able to focus on enhancing images beyond aesthetic qualities and specifically to improve robotic detection of scuba divers. We train our network on a large dataset of scuba divers, using a state-of-the-art diver detector, and demonstrate its utility on images collected from oceanic explorations of human-robot teams. Experimental evaluations demonstrate that our approach significantly improves diver detection performance over raw, unenhanced images, and even outperforms detection performance on the output of state-of-the-art underwater image enhancement algorithms. Finally, we demonstrate the inference performance of our network on embedded devices to highlight the feasibility of operating on board mobile robotic platforms.
A ANALYSIS OF STUDENTS PERCEPTION THE USE SOCIAL MEDIA TO IMPROVE STUDENTS' ENGLISH WRITING SKILL IN TENTH CLASS OF SMK PEMBANGUNAN AMPEL IN THE ACADEMIC YEAR 2020/2021

Muyasaroh, Siti. 2020. An Analysis of Students’ Perceptions the Use Social Media to Improve Students’ English Writing Skill in Tenth Class of SMK Pembangunan Ampel in the Academic Year 2020/2021. A graduating paper. English Education Department. Teacher Training and Education Faculty. State Institute for Islamic Studies of Salatiga. Counselor: Dr. Setia Rini, M.Pd.The purpose of this study was to determine perceptions about the use of social media to improve students' writing skills. And how social media can support students in improving students' writing skills.This research is a qualitative research. Data collection was carried out by means of a questionnaire. The participants were 10th grade students at the SMK Pembangunan Ampel. 17 students became respondents.The results of the study stated that students had a positive perception of the use of social media in improving writing skills. They think that social media is helpful, easy, fun and gives new nuances in learning, social also provides interesting and accessible features. Social media can also support their learning process. Social media also has obstacles such as difficulties in implementing learning and problem access. So that social media can be used to improve students' writing skills.Keywords: Sosial Media; Qualitative research