Reviewerly/exHarmony huggingface dataset:
EBSe 교과서영어 프로그램 개선 방향 연구

This study aims to analyze the current use and efficacy of the EBSe English Textbook program to facilitate the continued development and improvement of the program. The survey respondents were students, parents, and teachers who have used the EBSe English Textbook program for teaching and learning English. This survey sought to gain feedback on three main categories: current usage, satisfaction and efficacy, and suggestions for improvements to the EBSe English Textbook program. A total of 1,947 responses to the survey were collected. The analysis of the survey data reveals that many students, parents, and teachers used the EBSe English Textbook program. In addition, most of users who have used the program were highly satisfied with the effectiveness of the EBSe English Textbook program. The efficacy of the program was shown to be positive in the following four major objectives: showing complementary effect on school English education, forming a regular habit of English learning, increasing interest in learning of English, and reducing the cost of private education. But EBSe program was still insufficient to solve the problem of private education expenses, and there were many requests for improvement and update. Respondents showed great interest in the EBSe English Textbook program and suggested several areas of improvement. Based on these findings, we suggest further improvement and development of the EBSe English Textbook program to facilitate an brighter future for the program.
Research Focusing on Assessment Literacy: A Systematic Literature Review

Assessment literacy relates to teacher's ability to know and clearly understand the purpose, measurement, evaluation and use of assessment to report the overall level of student achievement in a particular subject or time period, reflect and take continuous follow-up action to improve instructional, student’s capability and achievement in learning. The purpose of this paper is to use co-citation analysis to detect the evolution of prior research linked to assessment literacy by identify the major sources and the classes they create (i.e. clusters) and reviews the significance of the aspects commonly mentioned by the authors in studies. The Scopus search engine was used to find the papers that were reviewed. All collected data were examined using the VOSviewer software to provide bibliometric results. The review's primary focus is on assessment literacy research that is associated to discussion in educational activities. Finally, the data show that co-occurrence of keywords in documents and co-authorship by author indicate seven and six clusters, respectively. Six primary categories of co-authorship, as follows: (1) Changes to the education assessment system, as well as prospective teacher's trust in its implementation, (2) The requirement for assessment concepts, (3) Literacy and data interpretation from teachers, (4) Assessing literacy and global needs, (5) Factors affecting teacher assessment, and (6) Methods for enhancing teachers' assessment literacy in learning. This paper analysis aims to provide a more thorough knowledge of the evolution of research topics, scientific practice and trends in new and interesting fields of study.
Integrating cloud computing into the curriculum

In this paper we provide a strategy for integrating cloud-based computing in a university/college setting. We address front-end considerations, back-end considerations, and the practical aspects of...
The Effect of Activating Background Knowledge in Reading Comprehension at the Second Semester Students of University of HKBP Nommensen Pematangsiantar

The purpose of the study is to investigate the effect of activating background knowledge in students" ability in reading comprehension in narrative text.Reading comprehension is assumed as one of the most difficult skill since students are difficult to comprehend what the text is about.The problem occurred in this research was students were unable to comprehend the text, identify the main idea, and also about the vocabulary.Theories used to solve the problem were Burns (2012:12), Fisher and Frey (2009), Patel and Jain (2008) and Moreillon (2007).This researched used descriptive quantitative research.Data were the control and experimental class.After analyzing the data, the researcher found that the mean of pre-test in experimental group was 56.09and post-test in experimental class was 78.53.while the mean of pretest in control group was 54.76 and the mean of post-test in control group was 74.16.Standard deviation of pre-test in experimental group was 4.40 and standard deviation of post-test in control group was 4.38 and standard deviation of post-test in control group was 4.14.The comparison of the mean in the whole of experimental class and control class was the mean of experimental class was 17.86 and the mean of control class was 15.76.The comparison of the standard deviation in the whole of experimental and control group was, the standard deviation of experimental group was 94.54 and standard deviation of control group was 72.73.In order to know the effect of Activating Background Knowledge in reading comprehension, the mean and the standard deviation were calculated by using t-test formula and the result was 6.47 and t-table was 1.67.It means that 6.47 >1.67.So, there was a significantly effect of activating background knowledge in reading comprehension.
EXPLORING STUDENT'S PERCEPTION OF ONLINE LEARNING FOR PUBLIC SPEAKING COURSE ( A CASE STUDY AT KIND ENGLISH COURSE PARE KEDIRI ):

Public speaking is one of the skills that must be mastered by students. Speaking is a communication skill that is essential for intellectual development, career trajectory, and civic engagement. Public speaking is universally applicable to all types of majors and occupations, but with the current state of the pandemic Covid-19, students have difficulty learning to develop public speaking. Based on the problems above, students are looking for ways to learn public speaking skills by taking online courses in Pare Kediri. After taking online classes in Pare Kediri, students were asked to fill out a questionnaire on student perceptions about the results of online class learning and what difficulties they encountered during online learning. Students' perceptions can later be used as evaluation material for course institutions to be better in dealing with online classes during the pandemic Covid -19. This research uses qualitative methods. where data collection is obtained from observations, filling out questionnaires and interviews with students. Data collection was carried out to determine students' perceptions of online public speaking learning and the difficulties faced during online classes at Kind English Courses during the pandemic Covid19. The results of this study indicate that students' perceptions of online learning at Kind English Courses during the pandemic Covid-19 are very effective and help students in public speaking, students feel able to study at home and do not have to go to Kampung Inggris Pare Kediri. Students also stated that even though they attended online class students also felt their speaking abilities increased from before and they also felt more confident. Although online learning is said to be effective students also have difficulties in online classes, students do not interact with the tutors and other students, due to public speaking learning, many people need to train more trust in speaking, besides that students are sometimes constrained by signal problems that sometimes break up so that the material explained by the tutor cannot sound so clear.
Formation of students' ability to cognitive activity in the learning process

espanolLas profundas transformaciones que se han producido en el ambito de la formacion profesional de los estudiantes se han convertido en una respuesta a los cambios socioeconomicos del pais. Los procesos innovadores tienen como objetivo satisfacer las necesidades del Estado y la sociedad en el desarrollo de un nuevo tipo de especialista capaz de pensar creativamente fuera de la caja. La formacion de su potencial intelectual y competencia profesional se esta convirtiendo en una tarea primordial para las instituciones educativas profesionales. Los procesos cognitivos, que incluyen creatividad, inteligencia y atencion, actuan como base psicologica para la capacidad de los estudiantes de implementar soluciones innovadoras. El proposito del articulo es considerar la experiencia de la formacion de la capacidad de los estudiantes para la actividad cognitiva como una de las actividades punteras en el desarrollo de la competencia de los estudiantes. Los procesos cognitivos son responsables del desempeno de la funcion cognitiva. La actividad cognitiva tiene como objetivo encontrar por parte del alumno soluciones a las tareas. En el proceso de esta actividad mental, el estudiante llega a comprender la esencia del problema y su solucion. El estudio presenta la compleja dinamica de la actividad cognitiva, lo que propicia la aparicion de soluciones innovadoras no estandar. Los resultados del estudio muestran un aumento en el nivel de actividad cognitiva de los estudiantes luego de la implementacion de metodos, medios y tecnologias modernos en la formacion de los estudiantes. EnglishThe profound transformations that have taken place in the field of professional training of students have become a response to socio-economic changes in the country. Innovative processes are aimed at meeting the needs of the state and society in the development of a new type of specialist capable of creative thinking outside the box. The formation of their intellectual potential and professional competence is becoming a paramount task for professional educational institutions. Cognitive processes, which include creativity, intelligence and attention, act as a psychological basis for students' ability to implement innovative solutions. The purpose of the article is to consider the experience of the formation of students 'ability to cognitive activity as one of the leading activities in the development of students' competence. Cognitive processes are responsible for the performance of the cognitive function. Cognitive activity is aimed at finding the student solutions to the tasks. In the process of this mental activity, the student comes to an understanding of the essence of the problem and its solution. The study presents the complex dynamics of cognitive activity, prompting the emergence of non-standard innovative solutions. The results of the study show an increase in the level of cognitive activity of students after the implementation of modern methods, means and technologies in training students.
Minimal Session Types for the π-calculus

Session types enable the static verification of message-passing programs. A session type specifies a channel’s protocol as sequences of messages. Prior work established a minimality result: every process typable with standard session types can be compiled down to a process typable using minimal session types: session types without the sequencing construct. This result justifies session types in terms of themselves; it holds for a higher-order session π-calculus, where values are abstractions (functions from names to processes).
Digital Competence: Where do the Higher Education Teachers Stand?

Digitalization of higher education includes the use of digital tools and technologies for educational administration, teaching-learning process, evaluation, research, and extension activities.The 21st-century educational landscape is manifested by the key concept of digital competency of professionals in the knowledge area.Education and training, therefore, need to be at a premium, and the role of teachers being very important in imparting education and constructing learning experiences need to be continuously trained and updated.The nature of digital competency is exhilarating as well as requires specific efforts by teachers to adapt the latest technology-based skills.The idea behind the study was to find the answer to the question that where do the higher education teachers stand in this technological era?Thus, the study investigates the level of digital competence among higher education teachers and to find out their level in different dimensions of digital competence.Findings revealed that the higher education teachers under study have an intermediate level of digital competence only 8.44% of higher education teachers have an advanced level of digital competence.Higher education teachers have an intermediate level of digital competence in technological /operational/ instrumental dimension, information processing and management dimension, pedagogic/ knowledge construction dimension, and digital citizenship dimensions of DIGICOMP.The study concludes that higher education teachers may acquire the required knowledge, skills, and competence and elevate their level of digital competence to successfully compete in this technology-driven world.
Early Exiting-Enabled Siamese Tracking for Edge Intelligence Applications

Visual object trackers based on deep neural networks have attained state-of-the-art performance in recent years. Despite the outstanding accuracy gained by deep layers, however, they also demand high computational cost and energy consumption in order to operate in real-time, making them inadequate for edge and latency-sensitive applications. In this paper, we propose an edge computing-friendly Siamese-based visual object tracker. This work concentrates on increasing the tracking speed by reducing computations through integration of side exit branches into the network, as well as skipping the multi-scale search for some frames. By employing exit branches, the tracker is capable of obtaining the result of easy samples from early layers once the criteria are satisfied. The network is trained offline to optimize a joint function that is composed of the weighted loss functions of all exit branches. During inference, the score map is derived from the network and determines the new object location, whereas multi-scale testing can identify scale updates which is only applied under specific conditions. Our proposed tracker deploys an adaptive scale search over two scales that runs at 247.5 FPS on GPU and 37.1 FPS on CPU providing a 2.5x faster rate of processing speed compared to SiamFC, with an acceptable amount of accuracy loss, especially when compared to the significant speed gain and gains in computational efficiency.
HiVAD : A Voice Activity Detection Application Based on Deep Learning

ABSTRAK Dalam tulisan ini, deteksi aktivitas suara disajikan pada smartphone secara realtime dengan jaringan saraf konvolusional. Pengurangan waktu komputasi adalah masalah dari studi sebelumnya. Meskipun telah menggunakan pendekatan machine learning, masih banyak kekurangan dari penelitian sebelumnya. Citra sinyal suara dihasikan oleh spektrogram energi log-mel, kemudian citra sinyal suara diinputkan ke dalam deep learning CNN untuk mengklasifikasi suara manusia dan derau. HiVAD mengungguli persentase metode VAD lainnya yaitu G729B, Sohn, dan RF dari hasil tes yang ditunjukkan dengan akurasi rata-rata SHR sebesar 15,89%, 28,98%, 42,13% pada tingkat 0dB, 8,67%, 16,29%, 17,63% pada tingkat 5 dB, dan 1,35%, 7,72%, 5,14% pada tingkat 10 dB. Selain itu, mekanisme Multi-threading memungkinkan komputasi yang efisien untuk waktu secara realtime. Penelitian ini menunjukkan bahwa arsitektur CNN pada HiVAD secara signifikan meningkatkan akurasi deteksi aktivitas suara. Kata kunci: aplikasi VAD, voice detection, deep learning, CNN ABSTRACT In this paper, the detection of sound activity is presented on smartphones in realtime with convolutional neural networks. Reduced computing time is a problem from previous studies. Despite the use of machine learning approaches, there are still many shortcomings from previous research. A log-mel energy spectrogram narrates the sound signal image. Then the sound signal image is inputted into CNN's deep learning to classify the human voice and noise. HiVAD outperformed the percentage of other VAD methods, namely G729B, Sohn, and RF from the test results shown with an average SHR accuracy of 15.89%, 28.98%, 42.13% at 0dB, 8.67%, 16.29% ,17.63% at 5 dB, and 1.35%, 7.72%, 5.14% at 10 dB. In addition, the Multi-threading mechanism enables efficient computing for real-time. This study shows that CNN's architecture on HiVAD significantly improves the accuracy of sound activity detection. Keywords: VAD App, voice detection, deep learning, CNN
Efforts to Increase Interest in Reading Through The Literacy Movement for Elementary School Students

Reading is a process carried out to practice communication skills. All learning processes are based on the ability to read. Through reading various knowledge , which can lead to success, we can get. This article aims to describe the implementation of the reading literacy movement for elementary school students at SDN 15 Pudung. The results of the initial observations showed that the teachers at the school were still passive in carrying out the reading literacy movement. The teachers at the SDN have not actively paid attention to efforts to improve the reading literacy of students. Through various activities that are fun for students, researchers try to foster a love of reading for students through the application of the reading literacy movement. The activity was carried out 15 minutes before the lesson started. The results showed that through fun activities as an effort to implement the reading literacy movement, students became more enthusiastic and motivated to further increase their interest in reading.
The Exploration and Practice of a New Evaluation System of Undergraduate Classroom Teaching Quality in Universities

Classroom teaching is the main platform of colleges and universities to cultivate students, and the quality of classroom teaching determines the quality of the students training. With the continuous development and progress of society, the previous classroom teaching quality evaluation methods are no longer suitable for the development of contemporary higher education. Reforming the classroom teaching quality evaluation methods has become a top priority. This article focuses on the assessment and evaluation of classroom teaching quality, which is a key link in promoting the quality of talent training. Relying on nearly 40 years of classroom teaching quality assessment experience and related provincial education reform projects, combined with new theories, new ideas and new requirements of contemporary talent training, we have built a new evaluation system for teachers’ classroom teaching quality based on full evaluation, commending advanced, encouraging progress, and strengthening demonstration concepts to stimulate teachers’ endogenous motivation for diligent teaching, promote classroom teaching reform and innovation, and enhance the sense of students learning experience.
Fast full search equivalent block matching for multichannel images

Block matching is a fundamental tool to search blocks (patches) similar or identical to a given query in image processing. Generally, a full search (FS) algorithm is the most accurate but requires vast computation especially in multichannel images, where the data volume is increasing due to higher definition and more channels. In this paper, we present a fast FS-equivalent algorithm using orthonormal tree-structured Haar transform (OTSHT) for multichannel images. We demonstrate the superior performance of three-dimensional OTSHT comparing with state-of-the-art algorithms. This significant speedup can enable new applications of block matching in multichannel images.
Real-time tracking of surrounding objects in augmented and mixed reality applications

Today one of the most important problems in modern Augmented and Mixed reality applications is the analysis of surrounding objects in order to trace variability of the observed environment, the behavior of which is usually unpredictable. The solution to this problem can be widely applied in many mobile applications as a tool to interact with surrounding objects in the environment. Augmented and Mixed realities are both extremely promising directions for further research of interaction with the real environment. In this paper, we suggest a method of creation of geometric data based on a series of points in order to reconstruct the surface of real objects. This allows us to ensure the interaction with virtual objects. The proposed method comprises three steps: point detection, points clusterization into multiple groups of points, depending on their location, and the creation of geometric data such as lines and surfaces.
PENGEMBANGAN E-JOBSHEET UNTUK MENINGKATKAN KEMAMPUAN MEMBUAT JURNAL DAN LAPORAN PADA PRAKTIKUM PENGHANTAR PANAS

Vocational High School (SMK) is education at the secondary level that prepares students to enter the world of work armed with knowledge and expertise. Supporting aspects to improve knowledge and expertise on psychomotor and cognitive assessments, namely the need for learning media for journal making and practicum reports. This research is a development research from relevant previous studies, where the researcher developed a practicum e-jobsheet as a learning medium with heat-conducting material in the basic subject of Agricultural Product Processing. This development research aims to 1) determine the feasibility of the developed e-jobsheet media, 2) determine the ability of students in making journals and practical reports, 3) determine the abilities of students' skills when practicing using e-jobsheets. The method used is ADDIE consisting of five stages, namely analyze, design, development, implementation and evaluation plus media testing to determine the cognitive and psychomotor results of students. Feasibility assessment by media experts, material experts and linguists, the e-jobsheet media is suitable for use as a learning medium. The results of the assessment of students' abilities in making journals and practicum reports using the “very good” e-jobsheet. The results of students' skills skills when practicum using e-jobsheets are very goodKeywords: e-jobsheet, practicum journal, cognitive, instructional media, psychomotor
Creating Mobile Applications Using Django and Flutter

Making Mobile Applications is a rapidly growing field with thousands of them being created daily and the demand for them increasing continuously. Here we examine the feasibility and / or ease of making Mobile Applications while using Django and Flutter as the Technology Stack, discuss the reasons for choosing such a stack, the various design patterns used, and the various benefits and drawbacks for doing the same.
Research on Localization of Confucius Institutes-Based on Data Analysis

No investigation, no right to speak. Based on 300 questionnaires for Chinese deans and Chinese teachers from Confucius Institutes abroad, this paper pinpoints current shackles on localization development of Confucius Institutes from empirical angle by way of questionnaire analysis, one-way analysis of variance and data comparison. Meanwhile, it presents four countermeasures: set up multidimensional work network of Confucius Institutes, strengthen multilateral cooperation among Confucius Institutes in many dimensions, strive to meet needs of local social talents, and advance the integration of Chinese traditional culture and local culture.