Reviewerly/exHarmony huggingface dataset:
Investigating Learners’ Beliefs in Learning English: A Case Study

ABSTRACTThe purpose of this study was to investigate the beliefs of English as a Foreign Language (EFL) learners in a mixed-ability class of a private university in Yogyakarta. Having 30 respondents who took an English class at the Language Training Centre of the university, this study mostly employed a quantitative research design, through which data were taken using the BALLI questionnaire consisting of 35 question items. To support the quantitative data, interview were conducted. The quantitative data were analyzed using a 5-point Likert-scale, while the qualitative data were verbally described. The results show that learners’ self-efficacy and expectation about learning English is low (3.20); learners’ perceived value and nature of learning spoken English is fair (3.76); learners’ beliefs about foreign language aptitude is low (3.11); learners’ beliefs in formal structural studies (3.11) is also low. Therefore, it is suggested that teachers evaluate their teaching approach and strategy in order to increase students’ motivation, confidence, and interest in learning English which can eventually promote learners’ success in learning English as a foreign language.ABSTRAKTujuan dari penelitian ini adalah untuk menyelidiki keyakinan bahasa Inggris sebagai Bahasa Asing (EFL) pada kelas dengan kemampuan campuran di universitas swasta di Yogyakarta. Dengan 30 responden yang mengambil kelas bahasa Inggris di Pusat Pelatihan Bahasa universitas tersebut, penelitian ini menggunakan metode kuantitatif, dimana data diambil menggunakan kuesioner BALLI yang terdiri dari 35 buah pertanyaan. Untuk mendukung data kuantitatif, wawancara dilakukan. Data kuantitatif dianalisis menggunakan skala Likert 5 poin, sedangkan data kualitatif dijelaskan secara verbal. Hasil penelitian menunjukkan bahwa: efikasi diri dan harapan mahasiswa dalam belajar bahasa Inggris rendah (3,20); nilai yang dirasakan mahasiswa dan sifat alamiah dalam belajar bahasa Inggris secara lisan adalah cukup (3,76); keyakinan mahasiswa tentang bakat dalam belajar bahasa asing rendah (3,11); dan keyakinan mahasiswa dalam studi struktural formal rendah (3,11). Oleh karena itu, disarankan agar dosen mengevaluasi pendekatan dan strategi pengajaran mereka untuk meningkatkan motivasi, keyakinan diri, dan minat mahasiswa dalam belajar bahasa Inggris yang pada akhirnya dapat mendukung keberhasilan mereka dalam belajar bahasa Inggris sebagai bahasa asing. How to Cite: Iswati,L. (2019). Investigating Learners’ Beliefs in Learning English: A Case Study. IJEE (Indonesian Journal of English Education), 6(2), 153-170. doi:10.15408/ijee.v6i2.14362
Pengaruh Media Pembelajaran Berbasis Animasi terhadap Minat Belajar Peserta Didik Kelas VII SMP Islam Alimuddin Kabupaten Probolinggo

This research aims to find out the effect of the use of animation based learning media on the learning interest of students in grade VII Alimuddin Islamic High School in Probolinggo regency. The use of animation based learning media is expected to help the learning process and improve student learning outcomes.This study used the research method namely quantitative research with correlation analysis. While the sample taking technique used Sampling where the sample used was grade VII Alimuddin Islamic High School non Probability Sampling, which amounted to 45 students. The research instrument in this research damaged the likert scale with Aangket inserts 10 questions with 4 questions. Data collection techniques use archivist based observation and angkets. Research obtained in this study indicates that this calculation t is uncountable -35.206 and t table calculation (-)1,68. So calculate (-35.206) &gt; t table 1.68 or significant 0,000 &lt; from 0,05 So there is the animated learning media influence over class learners interest in grade VII Alimuddin Islamic High School. Meaningless H0 : rejected and Ha : received. Which means that there,s an animated learning media influence over class learners interest in grade VII Alimuddin Islamic High School Probolinggo Regency.
MSGE: A Multi-step Gated Model for Knowledge Graph Completion

Knowledge graph embedding models aim to represent entities and relations in continuous low-dimensional vector space, benefiting many research areas such as knowledge graph completion and web searching. However, previous works do not consider controlling information flow, which makes them hard to obtain useful latent information and limits model performance. Specifically, as human beings, predictions are usually made in multiple steps with every step filtering out irrelevant information and targeting at helpful information. In this paper, we first integrate iterative mechanism into knowledge graph embedding and propose a multi-step gated model which utilizes relations as queries to extract useful information from coarse to fine in multiple steps. First gate mechanism is adopted to control information flow by the interaction between entity and relation with multiple steps. Then we repeat the gate cell for several times to refine the information incrementally. Our model achieves state-of-the-art performance on most benchmark datasets compared to strong baselines. Further analyses demonstrate the effectiveness of our model and its scalability on large knowledge graphs.
The science openness movement in Indonesia: An introduction for re-reading civil society in policy discourse

Today, civil society is identical to non-government organization (NGO) or Civil Society Organization. Institutional perspective causes the society to always be seen as an organizational entity: as a complete organization with its structure. Consequently, analysis on society will always be nuanced with relation to other institutions: coordination, subordination, opposition, or being attached to each other. This article proposes a new idea on civil society, which is suspected not always working within the institution framework, but instead with a more basic foundation that is ideational thrust. This situation is traceable through Vosviewer tools with Scopus data and Google Scholar database, by selecting one community as a representation. Activities that civil society does are, substantially, ideational discourse from inter-institution actors. Civil society movement is based on ideas, not on institutional administration coordination. This research analyzes Indonesia Open Science Epistemic Community, a community that actively promotes science openness and publication in fulfilling the academic and policy needs. This community transcends institutional division because it involves governmental actors by focusing on ideas. Therefore, this community’s existence could be the new alternative in reading civil society activity.Saat ini, masyarakat sipil sangat identik dengan Non-Government Organisation (NGO) atau Lembaga Swadaya Masyarakat (LSM). Pendekatan institusional menyebabkan masyarakat selalu dilihat secara organisatoris: sebagai sebuah organisasi lengkap dengan struktur. Sehingga amatan atasnya juga diwarnai dengan relasi dengan institusi lainnya: koordinatif, subordinatif, oposan atau juga melekat satu sama lain. Artikel ini hendak mengajukan gagasan baru terkait masyarakat sipil, yang ditengarai tidak melulu bekerja dengan kerangka institusi, melainkan yang lebih mendasar adalah dorongan ide. Hal yang terlacak melalui tools Vosviewer dengan data Scopus dan database Google Scholar, dengan mengambil satu komunitas sebagai representasi. Aktivitas yang dilaksanakan oleh masyarakat sipil sesungguhnya merupakan diskursus ide dari aktor lintas lembaga. Masyarakat sipil yang geraknya berbasis pada ide, bukan pada koordinasi administrasi institusional. Penelitian ini mengambil amatan pada Komunitas Epistemik Sains Terbuka Indonesia, yang aktif mempromosikan keterbukaan sains dan publikasi dalam kebutuhan akademik dan juga kebijakan. Komunitas ini melampaui sekat kelembagaan karena juga melibatkan aktor dari pemerintahan dengan fokus pada gagasan. Oleh karenanya, keberadaan komunitas ini bisa menjadi alternatif baru dalam membaca aktivitas masyarakat sipil.
Design of Energy Block Chain System Supporting Electric Vehicle Charge and Discharge Trading

As one of the underlying supporting technologies of Energy Internet, energy blockchain has attracted more and more attention. How to combine energy blockchain with specific application scenarios is a difficult problem in current research. Firstly, the technical feasibility of the application of energy blockchain in the field of energy trading is analyzed in detail. Then, taking the scenario of electric vehicle charging and discharging trading as the breakthrough point, considering the convenience and security of both sides of the transaction, a blockchain system framework supporting consensus algorithm and intelligent contract is proposed, which includes blockchain layer and intelligent contract. There are four layers of architecture: extension layer, application layer and presentation layer. Finally, from the perspective of system platform development, the technical connotation and application demonstration based on ethereum architecture are introduced. The system architecture and its application effect provide technical reference for promoting the integration of energy system and information technology and improving energy efficiency.
GPU Architecture for Wavelet-Based Video Coding Acceleration

The real time coding of high resolution JPEG2000 video requires specialized hardware architectures like Field-Programmable Gate Arrays (FPGAs). Commonly, implementations of JPEG2000 in other architectures such as Graphics Processing Units (GPUs) do not attain sufficient throughput because the algorithms employed in the standard are inherently sequential, which prevents the use of fine-grain parallelism needed to achieve the full GPU performance. This paper presents an architecture for an end-to-end wavelet-based video codec that uses the framework of JPEG2000 but introduces distinct modifications that enable the use of fine-grain parallelism for its acceleration in GPUs. The proposed codec partly employs our previous research on the parallelization of two stages of the JPEG2000 coding process. The proposed solution achieves real-time processing of 4K video in commodity GPUs, with much better power-efficiency ratios compared to server-grade Central Processing Unit (CPU) systems running the standard JPEG2000 codec.
Secure OMP Based Pattern Recognition that Supports Image Compression

In this paper, we propose a secure Orthogonal Matching Pursuit (OMP) based pattern recognition scheme that well supports image compression.The secure OMP is a sparse coding algorithm that chooses atoms sequentially and calculates sparse coefficients from encrypted images.The encryption is carried out by using a random unitary transform.The proposed scheme offers two prominent features.1) It is capable of pattern recognition that works in the encrypted image domain.Even if data leaks, privacy can be maintained because data remains encrypted.2) It realizes Encryption-then-Compression (EtC) systems, where image encryption is conducted prior to compression.The pattern recognition can be carried out using a few sparse coefficients.On the basis of the pattern recognition results, the scheme can compress selected images with high quality by estimating a sufficient number of sparse coefficients.We use the INRIA dataset to demonstrate its performance in detecting humans in images.The proposal is shown to realize human detection with encrypted images and efficiently compress the images selected in the image recognition stage.
Effect of marker location on user detection in omnidirectional images

Omnidirectional images have seen increasing usage in virtual tours to display remote destinations. These applications use markers or landmarks within the images to drive user interaction. Viewers must be able to efficiently locate and interact with markers for a positive user experience that retains immersion. However, the effect of marker positioning at different spatial locations on user performance remains unstudied. This work studies the positioning of visual markers within an omnidirectional image environment at three different elevation ranges. Our results show that markers positioned less than 32 ° from the equator were found significantly faster than markers between 32 ° and 64 °.
Analysis of Structural Dynamic Characteristics of Ieodo Ocean Research Station Using Vibration Measurement Data

To study the ocean and meteorological issues related to global climate change and global warming, Korea is operating several ocean research stations (ORS), including Ieodo ORS, Gageocho ORS, and Sochengcho ORS in remote ocean area. In 2003, the Ieodo ORS was first constructed and in operation, and a lot of scientific studies were carried out using the observation data at Ieodo ORS. After the Gageodo ORS was attacked by Typhoon Muifa and was severely damaged to its structural members, ORSs were equipped with vibration measurement systems to monitor their structural integrities. In the case of Ieodo ORS, the vibration measurement system was instrumented in 2016. In this study, the structural dynamic characteristics of the Ieodo ORS were investigated using the vibration measurement data, including acceleration and tilt. As a result, three natural frequencies of two bending modes and torsional mode were estimated as 1.315 Hz, 1.390 Hz, and 1.590 Hz, respectively, and these natural frequencies were compared with those estimated using measurement data in 2005 and 2006 by Kim et al. (2006). It was found that the natural frequencies were decreased as about 2-3.8% due to the combined effect of structural degradation and the increase of mass of equipment. Long-term measurement data were also analyzed to obtain the variation of dynamic characteristics according to the environmental effects such as temperature and excitation force. It was also found that the dynamic characteristics of Ieodo ORS are not affected by temperature and tidal level while they are significantly affected by the level of excitation force, i.e., the amplitude of vibration responses can be used to account for the effect of excitation force indirectly.
A Data Mining Approach for Parameter Optimization in Weather Prediction

More than two decades, there is a number of weather-related websites are available which approximately predict the weather and climate. By extracting essential data from the websites, a predictive data pattern can be produced to show the next day’s weather is with rain or not. By applying different types of web mining and analyzing techniques those extracted weather-related data can be visualized to a typical pattern for weather forecasting with the main deciding factors of weather. With the use of these approaches, reasonably precise forecasts can be made up to about four to five days in advance. For the weather prediction analysis, we need to discover deciding factors of the next day’s weather. Particularly, common weather dependent factors and the relationship of the prediction to the particular phenomenon. The solution proposed by this research can be used to analyze a large amount of weather data which are in different forms in each source. By using predictive mining task our solution allows us to make predictions for future instances according to the model what we have created. Evaluation measurements for the selected data mining technique such as accuracy percentage, TP &amp; FP Rate, Precision, F-Measure, ROC area, SSE, and loglikelihood for classification and clustering leads to create a high-quality model of prediction. Knowledge flow interface provides the data flow to show the processing and analyzing data with precise association rules. In order to evaluate the model, SSE values and time to build the model, are considered in an effective manner.
Management Information Systems and Cyber Security in Government, Public and Private Institutions Comparison of Developing and Developed Countries

Management Information Systems and Cyber Security in Government, Public and Private Institutions Comparison of Developing and Developed Countries
Her Name Was Lillias Horton Underwood

Abstract This article introduces the missionary work of Lillias Horton Underwood (1851–1921) at different stages of her life. The goal is to elaborate her mission and work regarding education objectively. This article is comprised of two major parts: a brief introduction to her life, delineated according to her marital status, and an examination of her major contributions in seeking gender justice for women in mission, developing women’s ministry through evangelization, and establishing institutions for higher education for young Koreans under Japanese colonialism. Methodologically, this article is first descriptive. It approaches the topic of Underwood’s life in the fashion of hagiographic biography. Second, it is analytical. It offers an evaluation of her work in its historical context. Overall, she should not be remembered as Mrs. Underwood, but as Lillias Horton Underwood, who played a multidimensional role in the establishment of early Korean Christianity and higher education.
Digital Education Environment in a Single Information and Education Space of the Region: Sverdlovsk Region Experience

Digitalization has become the largest technological revolution in the history of mankind, which has required significant changes and innovations in the management of socio-economic systems.In Russian pedagogical science digital transformation of education is considered as the process of modernization of the content, methods and organizational forms of teaching and educational work that takes place in a rapidly changing digital learning environment aimed at solution of socio-economic development tasks of the country in terms of the fourth industrial revolution and the development of the digital economy.As a result, the education system, along with the development of information infrastructure, is becoming a vector for the development of the digital economy in the Russian Federation.The model of digital education developed by the authors, aimed at creating a single information and educational space in the region, provides not only training and education, but also effective integration of the individual into a high-tech rapidly changing complex environment.The educational ecosystem, performing the function of a structural core, is an integrative socio-cultural environment, in the center of which there is not a teacher of a traditional school, but the pupil, surrounded by peers and adults who help him to fulfill a personal learning path.This model demonstrates the implementation of the goals set for the digital education environment by the digital economy to train high-tech personnel who possess digital competencies and are ready to receive education throughout their lives.The social order of society and households for a high level of professional and personal development in the conditions of digitalization of the economy is provided by the development of digital competencies set.The high level of digital literacy of teachers ensures that graduates are trained at a high technological level that meets the needs of a particular region, thereby ensuring expanded reproduction.
A Hybrid Dictionary Model for Ethical Analysis

With the adoption of social media and web services, people have become more likely to share opinions on the web about their daily activities. Thus, social networks end up being seen as an opportunity to bend the rules, making things inadmissible in society. This work aimed to design a dictionary template for sentiment analysis applied to unethical behaviors. It also analyses how prepared the machine is for human dialogue, and proposes a hybrid approach combining existing work for dictionary creation and standard conversation recognition in the Internet. Additionally, it also analyzes current policies to remove inappropriate content and proposes some steps to be considered to reduce spread of inappropriate content in the web.
Mixed Integer Programming Technique according to Traffic Light for Autonomous Collision Free Ground based on Traffic System

Abstract Human-computer interaction (HCI) is the study of how people design, implement, and use interactive computer systems and how computers affect individuals, organizations and society. This encompasses not only ease of use but also new interaction techniques for supporting user tasks, providing better access to information, and creating more powerful forms of communication. It involves input and output devices and the interaction techniques that use them; how information is presented and requested; how the computer’s actions are controlled and monitored; all forms of help, documentation, and training; the tools used to design, build, test, and evaluate user interfaces; and the processes that developers follow when creating Interfaces. This paper is an attempt to highlights the study of interaction between people (users) and computers.
METODE K-MEANS DALAM PEMETAAN PENYEBARAN PAMSIMAS

Program water supply and sanitation water the community (Pamsimas) is one of the government's mainstay programs in the provision of clean water and sanitation for rural and suburban communities through a community-based approach. With the effort to determine which villages are categorized as potential to receive financial assistance and no potential to receive APBN assistance for the installation of the project pamsimas. The aim is to establish a standard system for selecting Pamsimas villages to help government programs channel them to the right target. With the K-Means Clustering clustering method, this method is very suitable to be used in predicting and classifying which villages are categorized as potentials and does not have the potential to detect the state budget for the Pamsimas project installation. The data is taken interview and direct observation to the Pamsimas office which is the primary data and the criteria data in the form of village data and village connections are secondary data. The results obtained are the K-Means method can be applied clustering of Pamsimas Karanganyar village clustering which is useful to assist the selection of villages on target. By testing the functionality using a black box and testing the validity using the Rapidminer Software. In the mapping study, it was stated that 2 clusters were categorized as potential and not potential. For the results of a valid percentage of the Pamsimas application is 100%.Keywords: Mapping, Pamsimas, Clustering K-Means.
The Impact of Haptic and Visual Feedback on Teaching

Haptic feedback, an important aspect of learning in virtual reality, has been demonstrated in contexts such as surgical training. However, deploying haptic feedback in other educational practices remains understudied. Haptically-enabled science simulations enable students to experience abstract scientific concepts through concrete and observable lessons in which students can physically experience the concepts being taught through haptic feedback. The present study aims to investigate the effect of an educational simulation on the understanding of basic physics concepts related to buoyancy. Specifically, we hypothesize that a simulation with visual and haptic feedback will improve participant learning transfer.
[DC] The Impact of Social Interactions on an Embodied Individual’s Self-perception in Virtual Environments

In shared immersive virtual reality, users can interact with other participants and experience them as being present in the environment. Thereby different aspects of the respective interaction partners can have an impact on the perceived quality of the communication and possibly also the self-perception of an embodied user. This paper describes various factors the author aims to investigate during his doctoral studies. As the research area of embodied social interactions is broad, relevant factors and concrete research questions have been identified to investigate how social contact with one or multiple other persons may affect one’s self-perception, behavior and her or his relationship with the others while being embodied in a virtual environment.