Reviewerly/exHarmony huggingface dataset:
Motivácia k čítaniu a čitateľské preferencie adolescentov

The aim of this study was to describe motives that lead adolescents to read, or which make them refuse to read. Furthermore, it aimed to find out potential differences in motivation and reading preferences due to age group. Totally 375 respondents participated in this study from which 130 (34,66%) were readers. Reading motivation was measured by the Motivations for Reading Questionnaire (Wigfield &amp; Guthrie, 1997). Motives that lead adolescents to read or which make them refuse to read were detected with open questions. Results show that there are no differences between younger and older adolescents in reading motivation. The most common reading motives in younger readers were: reaching new information from books, opinion, that reading is a funny and interesting activity and reading represents an opportunity to escape from the reality for while. In the group of older adolescents were most common motives reaching new information, the way how to relax and escape from the reality. Non-reading younger adolescents refuse to read because they are not interested in reading, they consider the book boring and they do not have the will to read. Older adolescents do not read because they consider reading as a boring activity and they do not have enough time for it. The most popular genres among younger readers are the adventurous genre, fantasy, and novels for girls. Older readers prefer the adventurous genre, fantasy, and detective novels.
UTILIZING PODCAST TO IMPROVE INFORMATICS MANAGEMENT STUDENTS’ LISTENING COMPREHENSION AND PARTICIPATION AT AMIK MITRA GAMA

Technology of podcasting becomes a popular teaching media in education nowadays. It gives the students opportunity to study anytime and anywhere. It is flexible, dynamics and powerful to improve students listening comprehension. It gives new challenge in the context of language learning especially listening that as first skill of language acquisition. This was a classroom action research study. It aims at identifying the listening improvement of third semester students of Informatics Management at AMIK Mitra Gama academic year 2019/2020 by using podcasts. The participants were 24 students(3 MMI class). Finding of this study showed that utilizing podcast can improve not only student’s listening comprehension achievement (66.96% in fisrt cycle to 68,29% in second cycle) but also student’s participation (46,67% in cycle 1 to 56,67% in cycle 2). In sum, podcasts can be an attractive media in teaching listening at AMIK Mitra Gama.
Research on the Application of Virtual Reality Technology in Primary School Science Class

In the context of "Internet + Education", virtual and augmented reality technologies are being integrated with science education in primary schools. Based on the analysis of the background of the times and the existing problems in primary school science education, this paper analyzes the integration application of Virtual Reality education software in primary school science teaching, and analyzes the specific lessons and the advantages of integration.
EVALUASI KETEPATAN PEMILIHAN MEDIA PEMBELAJARAN JARAK JAUH DI MASA PANDEMI COVID-19

Distance learning media is a learning component that is an integral part of the learning process during the Covid-19 pandemic. The use of distance learning media can help the process of delivering messages from teachers to students to be more effective. Selection of the right distance learning media requires the use of certain principles and criteria so that it is appropriate in choosing a distance learning media because each learning media should have different characteristics and usability specifications. This study aims to conduct a summative evaluation of the accuracy of selecting distance learning media during the Covid-19 pandemic. Distance learning media that will be summative evaluation are all subjects found by researchers in junior high schools throughout Banjarmasin City through the population method and the sample using purposive random sampling technique as many as 5 Banjarmasin City Junior High Schools. The data analysis technique in this summative evaluation is carried out in a descriptive-qualitative manner using a model of the principles and criteria used to evaluate the accuracy of the selection of distance learning media which consists of four components, namely: suitability with the material, suitability with student characteristics, suitability with learning styles. students, and the suitability of supporting facilities. The results showed that the mapping of the accuracy of the selection of distance learning media in the Banjarmasin City Junior High School has fulfilled the four criteria for the accuracy of selecting the right learning media with good categories.&#x0D; &#x0D; Keywords: Evaluation, Accuracy of Distance Learning Media Selection
Design of Next-generation Virtual Library for Free Movement in a 360-degree Perspective

In this research, we design a virtual library that allows users to have a 360-degree perspective and move freely. We will focus on the function of the library not only as ‘a public facility for lending books’ but also as ‘a place for encountering new knowledge by accident.’ In modern open-stack libraries, the function of ‘a place for encountering new knowledge by accident’ is realized through the act of ‘walking around’. However, regarding the online libraries and digital libraries, which have been rapidly developing in recent years, they offer scarce functionality of ‘encountering unknown knowledge by accident’ by ‘walking around in the library’, while increasing convenience through digitization.In light of this problem, this paper devises a virtual library equipped with the function that users can move freely in the library in a 360-degree view’. By providing the state of bookshelves and books which are on display by actual 360° videos rather than artifacts such as CG or animation, users can acquire necessary related information of books while having the realistic experience of being in the library. Past digital libraries are reproductions of libraries as building structures, and the libraries’ original function of encountering books and knowledge was low. On the contrary, as for the online libraries, users can only search for book information, and cannot obtain the sense of being in the library. This study proposes a new virtual library that combines past digital library and online library.
Interface Design Heuristic Evaluation Website Yayasan Kesehatan Telkom

The webpage portal is a means of information for companies to introduce company profiles, job vacancies, and their products to the public or its users. Heuristic evaluation (Nielsen 1990) is a method that researchers use to test the usability of a web page portal application. The Heuristic Evaluation Method uses ten Nielsen principles, namely Visibility of system status, match with the real world, user control and freedom, consistency and standard, error prevention, recognition than recall, flexibility and efficiency of use, aesthetic and minimalist design, help user recognize, diagnose, and recover from errors, and Help and documentation. The results of the analysis show that there are only 5 variables that have a significance of less than 0.05. Of the independent variables,
Multiple Tasks Integration: Tagging, Syntactic and Semantic Parsing as a Single Task

Departing from both sequential pipelines and monotask systems, we propose Multiple Tasks Integration (MTI), a multitask paradigm orthogonal to weight sharing.The essence of MTI is to process the input iteratively but concurrently at multiple levels of analysis, where each decision is based on all of the structures that are already inferred and free from usual ordering constraints.We illustrate MTI with a system that performs part-of-speech tagging, syntactic dependency parsing and semantic dependency parsing.We observe that both the use of reinforcement learning and the release from sequential constraints are beneficial to the quality of the syntactic and semantic parses.We also observe that our model adopts an easy-first strategy that consists, on average, of predicting shorter dependencies before longer ones, but that syntax is not always tackled before semantics.
Segmentation of image based on k-means and modified subtractive clustering

Image segmentation has widespread applications in medical science, for example, classification of different tissues, identification of tumors, estimation of tumor size, surgery planning, and atlas matching. Clustering is a widely implemented unsupervised technique used for image segmentation mainly because of its simplicity and fast computation. However, the quality and efficiency of clustering-based segmentation is highly depended on the initial value of the cluster centroid. In this paper, a new hybrid segmentation approach based on k-means clustering and modified subtractive clustering is proposed. K-means clustering is a very efficient and powerful algorithm but it requires initialization of cluster centroid. And, the consistency of the clustering outcomes of k-means algorithm depends on the initial selection of the cluster center. To overcome this drawback, a modified subtractive clustering algorithm based on distance relations between cluster centers and data points is proposed which finds a more accurate cluster centers compared to the conventional subtractive clustering. These cluster centroids obtained from the modified subtractive clustering are used in k-means algorithm for segmentation of the image. The proposed method is compared with other existing conventional segmentation methods by using several synthetic and real images and experimental finding validates the superiority of the proposed method.
Kelantan and Sarawak Malay Dialects: Parallel Dialect Text Collection and Alignment Using Hybrid Distance-Statistical-Based Phrase Alignment Algorithm

Parallel texts corpora are essential resources especially in translation and multilingual information retrieval. However, the publicly available parallel text corpora are limited to certain types and domains. Besides, Malay dialects are not standardized in term of writing. The existing alignment algorithms that is used to analayze the writing will require a large training data to obtain a good result. The paper describes our methodology in acquiring a parallel text corpus of Standard Malay and Malay dialects, particularly Kelantan Malay and Sarawak Malay. Second, we propose a hybrid of distance-based and statistical-based alignment algorithm to align words and phrases of the parallel text. The proposed approach has a better precision and recall than the state-of-the-art GIZA++. In the paper, the alignment obtained were also compared to find out the lexical similarities and differences between SM and the two dialects.
Desain Model Database Layanan Panti Werdha dengan Menerapkan Metode Database Life Cycle

A nursing home is a place where the elderly get care services to live out their parenthood. In the management of nursing homes, many activities are carried out such as nursing services for the elderly, family visit activities, receiving donor assistance, managing elderly contributions, and transferring the elderly. Most of the information about these activities is still referred to manually and some of it is processed using separate applications. The aim of this research is to design the database model needed by the nursing home. The database model design can later be used as a reference for software developers in building an integrated nursing home information system. The form of research carried out is in the form of case studies with data collection methods through interview techniques and documentation studies. Meanwhile, for the analysis and design of the database model itself, it uses Database Life Cycle (DBLC) method which focuses on conceptual database design, logical database design, and physical database design. The result of this design is a relational database consisting of 11 tables and 12 relations. This research is a development from previous research with the same type where the previous research produced 7 tables with 6 relations.&#x0D;
CONTENT MANAGEMENT SYSTEM FOR SCHOOL INFORMATION WEBSITE

The website is one of the digital information media used by schools to display their profiles so that they can be known by the public. Some SMP Negeri in Kota Samarinda do not yet have a website as a media or school information center. This could be due to difficulties in creating and on the website of each school. From these problems, in this study researchers innovated to create a Content Management System (CMS) for school websites, especially at SMP Negeri 29 Samarinda. Laravel PHP framework is used with the system development method is the Waterfall method.
Context-Aware Short-Term Interest First Model for Session-Based Recommendation

In the case that user profiles are not available, the recommendation based on anonymous session is particularly important, which aims to predict the items that the user may click at the next moment based on the user's access sequence over a while. In recent years, with the development of recurrent neural network, attention mechanism, and graph neural network, the performance of session-based recommendation has been greatly improved. However, the previous methods did not comprehensively consider the context dependencies and short-term interest first of the session. Therefore, we propose a context-aware short-term interest first model (CASIF).The aim of this paper is improve the accuracy of recommendations by combining context and short-term interest. In CASIF, we dynamically construct a graph structure for session sequences and capture rich context dependencies via graph neural network (GNN), latent feature vectors are captured as inputs of the next step. Then we build the shortterm interest first module, which can to capture the user's general interest from the session in the context of long-term memory, at the same time get the user's current interest from the item of the last click. In the end, the short-term and long-term interest are combined as the final interest and multiplied by the candidate vector to obtain the recommendation probability. Finally, a large number of experiments on two real-world datasets demonstrate the effectiveness of our proposed method.
Is Citizen Tracking Acceptable?

Along with the extensive use of information and communication technology (ICT) gains importance also the issue of privacy.The main questions are: a) how much invasions of privacy and b) from whom is still acceptable.In this paper, we discuss the approval of invasion of privacy from state institutions (government and police).The research took place in the Czech Republic in October 2020, out of 429 respondents 302 were first-year university students.Paper answers whether people agree with invasion of privacy by state institutions.Alternatively, which interventions they consider to be tolerable and where their disagreement is significant.Due to the COVID epidemic, the question of automatic monitoring of the spread of the epidemic was included.Privacy intrusion was divided into 4 categories -police information, security, gathering information for scientific and other beneficial purposes, information about citizens interfering with privacy or without a clear purpose.The answers are further differentiated according to age and gender.The perception of individual intrusions on privacy by different groups is compared.Main findings include an agreement to share data for scientific purposes and strong disagreement with the automatic evaluation of tweets in order to monitor the spread of epidemics.Research shows that people generally disagree with automated invasions of privacy.
AN INTELLIGENT TUTORING SYSTEM FOR LEARNING LISTENING TOEIC

Nowadays, English proficiency to be one of the main requirements when someone continuous study and applies for a job. One of them is TOEIC (Test of English for International Communication). In SMK AAG Penerbangan Adisutjipto Yogyakarta, TOEIC is used to measure the studentsâ€™ English proficiency. Various job vacancy advertisements require the applicants to achieve the standard TOEIC score. Therefore, preparation for taking English proficiency is needed to equip the students ready in facing the TOEIC test. Artificial intelligence (AI) technology can help to improve the studentsâ€™ English proficiency. The use of AI becomes higher due to the advantages such as flexibility, accurateness, and direct feedback. This program applied AI technology to develop listening skill in TOEIC of the students in SMK AAG Penerbangan Adisutjipto Yogyakarta. The result from this community service is the students know the skills and strategies to do the listening skill in TOEIC test. Â Â Â
A Technology Inclusion in English Teaching and Learning: A Case Study in High and Low Performing Madrasah Aliyahs in Indonesia

This case study focused on how schools utilize technology in the English teaching-learning process and how the school engagement of technology inclusion in the teaching and learning system.This research is significant since mobile technology is essential to support the classroom's teaching and learning process.The study explored low and high-performing M adrasah Aliyah in Bekasi, West Java.The study found that mobile technology is vital to support teachers and students in access to learning sources.However, the two schools provide different purposes for using mobile technology.Lowperforming M adrasah Aliyah indicated that mobile devices' use is essential since the school has not an inadequate handbook for learning.M eanwhile, high performing M adrasah Aliyah tended to use the technology to upgrade the learning sources.
Automatically Cataloging Scholarly Articles using Library of Congress Subject Headings

Institutes are required to catalog their articles with proper subject headings so that the users can easily retrieve relevant articles from the institutional repositories.However, due to the rate of proliferation of the number of articles in these repositories, it is becoming a challenge to manually catalog the newly added articles at the same pace.To address this challenge, we explore the feasibility of automatically annotating articles with Library of Congress Subject Headings (LCSH).We first use web scraping to extract keywords for a collection of articles from the Repository Analytics and Metrics Portal (RAMP).Then, we map these keywords to LCSH names for developing a goldstandard dataset.As a case study, using the subset of Biology-related LCSH concepts, we develop predictive models by formulating this task as a multi-label classification problem.Our experimental results demonstrate the viability of this approach for predicting LCSH for scholarly articles.
DIGITAL SKILLS FOR EDUCATORS AND PARENTS IN THE CONTEXT OF HIGH - QUALITY EDUCATION

The purpose of the research is to identify commonalities and possible differences in the assessment of educators’ and parents’ attitudes towards digital technologies, reasons for their usage, and identify motivation to improve their digital skills. The study is built on research activities and there are used both theoretical and empirical methods. Quantitative methods in the form of questionnaires are used during the study. The researcher is more important to identify precedents and learn about the character of educators’ and parents’ attitudes. Dinamic environment for teaching should be supported by positive attitude to tehnologies. The statistical programme used for the analyses and presentation of data in this research is the Statistical Package for the Social Sciences (SPSS). In conclusion: the results from this study will be used to support interesting directions for future research in the context of higt –quility education.
Online learning experience of the master of TESOL students during Covid-19 closures

This study investigates the online learning experience of the Master of TESOL students studying at Ho Chi Minh City Open University. The online survey was sent to students of both the local and join Master programs who took online courses during the university closures because of Covid-19. The findings showed that the students had positive experience with their online learning. They indicated that they were ready for studying online in the future though they had challenges such as improper attention in online study; poor internet connectivity, unfavorable conditions to study at home and lack of training for online study.
Practice-Oriented Approach in the System of Professional Training of Future Teachers to Social-Pedagogical Activity

The article highlights theoretical aspects of the socio-pedagogical direction of pedagogical practice of future primary school teachers.The tasks of pedagogical practice as a mandatory component of professional training of future specialists are outlined. The necessity of involvement employers in cooperation with higher education institutions to ensure a high level of continuous practical training, creating conditions for professional development and self-realization of future teachers are substantiated. Great emphasis is placed on the need for creative use of theoretical knowledge and practical skills working with students, modern teaching technologies, students’ educational and social development, as well as systematic professional self-improvement and self-development. It was proved that in the process of teacher training system pedagogical practice performs a number of important functions: educational, developmental, diagnostic and corrective, communicative, organizational (management), prognostic, preventive, etc. The approximate content of this student practice in general educational institutions is given taking into account such directions, as: work with deviant and gifted pupils, inclusive education, sociocultural animation, etc. The results of an empirical study on the readiness of graduates of pedagogical specialties for the practical use of social and educational technologies in school are presented. The difficulties most often faced by respondents in working with students were identified, including: work with different categories of parents, individual counseling of students, resolution of pedagogical conflicts, implementation of diagnostic activities and socio-pedagogical communication, etc. The author proved that combination of theoretical and practical teacher training, integration of teaching with research and experimental work would contribute to the practical orientation of the educational process at the university, active search and implementation of non-traditional forms and methods of teaching, in particular in socio-pedagogical aspects.&#x0D; The article partially uses the materials of the author's dissertation “Theoretical and methodological principles of professional training of future primary school teachers for socio-pedagogical activities” (2015) for the degree of Doctor of Pedagogical Sciences.
A Novel Machine-Learning Framework-based on LBP and GLCM Approaches for CBIR System

This paper presents a Multiple-features extraction and reduction-based approaches for Content-Based Image Retrieval (CBIR). Discrete Wavelet Transforms (DWT) on colored channels is used to decompose the image at multiple stages. The Gray Level Co-occurrence Matrix (GLCM) concept is used to extract statistical characteristics for texture image classification. The definition of shared knowledge is used to classify the most common features for all COREL dataset groups. These are also fed into a feature selector based on the particle swarm optimization which reduces the number of features that can be used during the classification stage. Three classifiers, called the Support Vector Machine (SVM), K-Nearest Neighbor (KNN) and Decision Tree (DT), are trained and tested, in which SVM give high classification accuracy and precise rates. In several of the COREL dataset types, experimental findings have demonstrated above 94 percent precision and 0.80 to 0.90 precision values.