Reviewerly/exHarmony huggingface dataset:
Preliminary Investigation of Tapping Force on Pressure-Sensitive Touchscreen for Expanding Input Vocabulary on Smartphone

We propose a method of expanding the input vocabulary of a smartphone by using tapping force on its pressure-sensitive touchscreen. In our method, the input mode is switched by users controlling multiple levels of tapping force. To design our method, we conducted a preliminary user study to investigate the maximum number of levels in which users can control their tapping force. We found the thresholds for distinguishing the tapping force that users exert. The results showed that the accuracy of the 3 and 4 levels of tapping force without feedback were 84.9% and 77.7%, respectively, and that the thresholds should be calibrated per user.
ONLINE LEARNING: STUDENT ACTIVITIES AND THEIR PRIVACY CONCERNS

Appears in: EDULEARN20 Proceedings Publication year: 2020Pages: 6977-6983ISBN: 978-84-09-17979-4ISSN: 2340-1117doi: 10.21125/edulearn.2020.1806Conference name: 12th International Conference on Education and New Learning TechnologiesDates: 6-7 July, 2020Location: Online Conference
SUMMARISING INITIAL RESULTS OF SHIFTING TO DISTANCE LEARNING URGED BY CORONAVIRUS PANDEMIC

1 Lomonosov Moscow State University (RUSSIAN FEDERATION)2 RUDN University (RUSSIAN FEDERATION)3 Penza State University (RUSSIAN FEDERATION)
AN OPEN SOURCE TRAINING MANAGEMENT SYSTEM TO SUPPORT THE PERSONAL PHYSICAL AND MENTAL TRAINING

Appears in: EDULEARN20 Proceedings Publication year: 2020Pages: 5558-5566ISBN: 978-84-09-17979-4ISSN: 2340-1117doi: 10.21125/edulearn.2020.1457Conference name: 12th International Conference on Education and New Learning TechnologiesDates: 6-7 July, 2020Location: Online Conference
The Design and Research of Ocean Observation Buoy Operation Status Monitoring System

At present, there is no unified monitoring system for ocean observation buoys in China. Some of the existing monitoring systems are only decentralized management and control of observation buoys, and their accuracy and management scope cannot meet the needs. This article describes the design and development process and technical details of the three main modules of the system's real-time monitoring, operation and maintenance management and intelligent decision-making. This system can obtain the real-time status of the entire network of buoys in time, so it can find faults in time, and eliminate and isolate the faults in time to reduce the losses caused by the buoy faults to the entire marine environmental protection system.
DISTINGUISHING CRITICAL SITUATIONS IN LANGUAGE LEARNING USING AVIATION GAMING SOFTWARE

Directly or indirectly students have been learning from each other since gaming was introduced in the 1960s. At the Technical University of Ostrava those interested in the field of aviation have been able to supplement their studies at school using a variety of gaming software available on-line. This paper examines how gaming software, focused on airport management, maintenance and controller-pilot scenarios, can be used in the language-learning classroom to improve students’ ability to communicate in English. It more specifically considers the role of ergonomics, decision-making and short-term memory studies, and how the mind focuses and filters out information when red flag words, denoting more serious situations, are used in aviation. In order to do this different scenarios are set up in which aircraft are placed in various conditions from where flying is completely safe to situations where there are different degrees of danger, and are indicated by such red flag words as heart attack or engine failure. It draws its conclusions using an air traffic control game for a group of ten to twenty-five students, who along with the teacher have monitored and recorded mistakes and observations made in using aviation phraseology during their lessons.
Double Variations for Bass Trombone and Percussion

Author(s): Allen, Jamie | Abstract: This music score was submitted for the Kaleidoscope 2020 Call for Scores, an open access collaboration with the UCLA Music Library.
DEVELOPMENT OF THE THEORETICAL MODEL OF CONTINUOUS METHODOLOGICAL TRAINING OF CHEMISTRY TEACHERS

1 Tver State Technical University (RUSSIAN FEDERATION)2 Secondary School No. 43 of Tver (RUSSIAN FEDERATION)
사관학교 입학전형요소와 학업성취도의 연관성 분석

The purpose of the entrance examination is to select promising and potential stu­dents who could understand each curriculum in the university. Therefore, each uni­versity focuses on researching and developing the entrance examination system for recruiting talented students. Likewise, the entrance examination of Korea military Academy is not only important, but also more significant in terms of selecting poten­tial officers for the future. Furthermore, the selection system adds to an interview and physical strength test in order to evaluate the volunteer’s character and aptitude.It is clear that the unique system closely correlates with prominent officer for the future. In this regard, this study analyzes the correlation between the academic ach­ievement of cadets and the entrance policy factors that could verify predictive reli­ability for admission factors such as former grade point average, high school’s aca­demic achievements, aptitude test battery for cadets, English test, interview and phys­ical strength test. Finally, it provides the significant implications in terms of useful tools for the entrance policy in Korea military Academy.
MOBILE APPLICATION TO TRACK STUDENT EXPERIMENTAL LEARNING AND TO IMPROVE THE STUDENTS’ ATTENTION

Appears in: EDULEARN20 Proceedings Publication year: 2020Pages: 4852-4856ISBN: 978-84-09-17979-4ISSN: 2340-1117doi: 10.21125/edulearn.2020.1276Conference name: 12th International Conference on Education and New Learning TechnologiesDates: 6-7 July, 2020Location: Online Conference
E-TUTORING AS AN OPPORTUNITY FOR TEACHERS’ FURTHER EDUCATION

Appears in: EDULEARN20 Proceedings Publication year: 2020Pages: 5333-5337ISBN: 978-84-09-17979-4ISSN: 2340-1117doi: 10.21125/edulearn.2020.1406Conference name: 12th International Conference on Education and New Learning TechnologiesDates: 6-7 July, 2020Location: Online Conference
A Brief Note on DocumentSummarization

Document Summarization is a very challenging task in text mining. Summarizing a large document in concise short sentences which is a subgroup of the initial text is called as extractive summarization. There are various applications of text summarization, but here the CNN News articles are summarized to its key sentences. In this project, Topic Modeling Algorithm the Latent Dirichlet Allocation is used to generate extractive text summarization. It is used in capturing important topics from the text and later using distribution weighting mechanism sentences are fetched from the text. The model performs well on the data andfetchesthesummaryforthenewsarticle. Thishelpsinsaving timetoreadlongtextsordocuments. Document summarization is a means of deriving significant and relevant data from the document and to make a piece of comprehensive and meaningful information. In this project, an extractive summarization of large documents is carried out using documentissegmentedinalistofsentencesandappliedto the Latent Dirichlet Allocation (LDA) algorithm to extract main topics. Then using the frequency of words of those topics in sentences, key sentences are extracted having highest distribution to summarize the text. The report is structured below in following sections. The Literature Review in Section II which discusses the work of various authors towards document summarization and LDA. The Section III specifies the actual methodology implemented using LDA model and includes data processing. Empirical results in text modeling and document summarization are discussed in the segment IV. Finally, Section V bestows the conclusion and the futurescope. Summarizing these information is of great importance and a need. Document Summarization has turned into a significant research in Natural Language Processing (NLP) and Big Data arenas. The extractive summarization using topic modeling LDA algorithm successfully generates a summary ofimportant sentences from the original document. It also provides good level of topic diversity. Later on, we might want to investigate progressively target works and improve the summary generation further and utilize diverse topic modeling techniques. Likewise, we mean to assess our way to deal with various dialects. There is a future scope of generating abstractive summaries which are more human like summaries and will require heavy machine learning tools for semantic language generation.
TOWARDS BLENDED LEARNING IMPLEMENTATION IN THE EDUCATIONAL PROCESS FOR THE STUDENTS OF NON-LINGUISTIC SPECIALITIES IN SOUTH URAL STATE UNIVERSITY

TOWARDS BLENDED LEARNING IMPLEMENTATION IN THE EDUCATIONAL PROCESS FOR THE STUDENTS OF NON-LINGUISTIC SPECIALITIES IN SOUTH URAL STATE UNIVERSITY
SYNTHESIS OF KNOWLEDGE TRACING MODELS USING NATURAL LANGUAGE PROCESSING ON LECTURE CONTENT

Modern teaching, both performed by autonomous education technologies and teachers during classroom events benefit from high-quality student models. Adjusting teaching considering the progress and needs of learners requires a meaningful model based on observations of learning activities in relation to knowledge about processed teaching content.Current student models, such as Knowledge Tracing Models (KTM) widely-used in Intelligent Tutoring Systems, divide teaching content into Learning Objectives also named Skills describing the main emphasis of teaching goals. They measure learning outcome and probability of teaching success by observing learner’s results during assessments. A main challenge of this approach is to identify relevant Learning Objectives from teaching material to find appropriate Skills to use in Knowledge Tracing Models.We describe our approach towards a tool chain, that automatically identifies relevant Learning Objectives from teaching material and transfer these to Skills usable in KTM. To lay out a foundation on how to identify Learning Objectives in lecture content, we introduce Generative Learning Theory based Business-Process-Models describing the generative process of preparing teaching materials. These generative processes models provide the fundamentals needed to use Natural Language Processing (NLP), more specifically to build Structural Topic Models (STM), to pull out relevant topics and relations between topics from teaching materials. We introduce a mathematical definition of information based on related data, which allows us to extend the results of these Topic Models and synthesize Topic-Maps. These Topic-Maps, based on connected Learning Objectives and significant teaching material, allow a transfer of STM inferred results into semantic KTM Skills related to appropriate teaching content.To support our approach, we demonstrate the Structural Topic Model inference of Learning Objectives on lecture material from our university. We synthesize a Topic-Map and infer semantic KTM Skills connected to relevant teaching content. We accompany the results of this demonstration with first results of our interviews of learners and teachers which manually identify Learning Objectives from their attended and prepared lecture documents.
SOFTWARE POSSIBILITIES OF CREATING MODELS FOR 3D PRINTING IN THE LEARNING PROCESS AT SECONDARY SCHOOLS

SOFTWARE POSSIBILITIES OF CREATING MODELS FOR 3D PRINTING IN THE LEARNING PROCESS AT SECONDARY SCHOOLS
CorelDRAW Graphics Suite 2019 Review

When you’re running a business, there are a lot of different documents, files, images, fonts, and more that you will need to create and manage. While ...
TROUBLESHOOTERS FOR OBJECT-ORIENTED PROGRAMMING HOMEWORK ASSIGNMENTS

Appears in: EDULEARN20 Proceedings Publication year: 2020Pages: 7895-7904ISBN: 978-84-09-17979-4ISSN: 2340-1117doi: 10.21125/edulearn.2020.1988Conference name: 12th International Conference on Education and New Learning TechnologiesDates: 6-7 July, 2020Location: Online Conference
CONTINUOUS ADAPTATION OF THE TEACHING AND EVALUATION PROCESS AT THE STUDENTS’ REQUEST

The main premise of this paper is that university education can no longer be separated from research. Moving from high school to academic level, any young man expresses more than the desire to accumulate knowledge, more precisely, he manifests the desire to assert himself as creator of products or concepts useful to the society in which he lives and useful to the world of tomorrow. In this context, the academic environment in Romania faces an exaggerated bureaucracy, which raises barriers to adapting the teaching and evaluation processes to the requirements of the main stakeholders: students and employers. Therefore, the present paper has started with the proposal of a theoretical model of overcoming the discrepancies between three levels that is noticeable in the preparation of future specialists: the level of the educational system, the level of preparation of the academics and the level of expectations of the trained young people. To support this original model, we have presented arguments from the results obtained on a pilot study conducted at the Faculty of Engineering in Sibiu, Romania, in the academic year 2018-2019, with the students of the final year of the Mechatronics specialization. It should be mentioned that about two thirds of the study participants had a special desire to be involved in research activities. Our improvement proposals have focused on two main directions: adapting the teaching and evaluation processes to the students' wishes and needs on the one hand, and creating a normative framework for these processes less restrictive in the Romanian universities, allowing them to adapt to each group of students, or even from student to student. Only then can student-centered learning be discussed.
Object Detection: A Comprehensive Review of the State-of-the-Art Methods

The process of localizing and classifying an object in a given sequence of images by computer vision systems is known as Object Detection. The work presented in the area of object detection is categorized into two broad categories. First category of work is based on traditional methods that deal with detection of an object in a single image having no or fewer deformations. The second category of work is based on evolutionary methods that deal with detection of multiple objects in a given image or a sequence of images having deformations. The evolutionary methods of object detection addresses many core issues like fast detection, multi-view, multi-resolution, object part relation and deformations due to moving object and background. In this work, authors have presented a survey of the state-of-the-art methods of object detection. The object detection methods surveyed in this paper are Histogram of Oriented Gradients based Features, family of Region Proposal based Convolutional Neural Networks, Spatial Pyramid Pooling Network, family of You Only Look Once and Single Shot Detector. This work discusses the methods, training and evaluation aspects of evolutionary object detection methods based on Convolutional Neural Networks and Deep Learning. At the end, open research issues of object detection area are discussed.
THE PORTFOLIO AS A NEW INDICATIVE TOOL FOR STUDENT TEACHERS’ EXTRACURRICULAR ACTIVITIES

Appears in: EDULEARN20 Proceedings Publication year: 2020Pages: 1091-1100ISBN: 978-84-09-17979-4ISSN: 2340-1117doi: 10.21125/edulearn.2020.0370Conference name: 12th International Conference on Education and New Learning TechnologiesDates: 6-7 July, 2020Location: Online Conference
MEMORY GRAPH OF INTERNAL FORCES. CREATING A NEW MOODLE QUESTION TYPE

This work presents how to create a new Moodle question type, and explain how Memory Graph of Internal Forces (MEM-GRIFOS) has been created. MEM-GRIFOS is an educational question of Moodle that is based on the typical memory games. These games consists of showing couples of images among which the players have to search and find the correlative pairs. MEM-GRIFOS questions could be useful to create complete questionnaires oriented to self-learning in university studies.First, a bibliographic study has been carried out, looking for an open programming code in order to rely on it. A complete description of an example showing how to create MEM-GRIFOS by means of a new Moodle question type is exposed, describing step by step the process. Then, the programming code has been completed and improved based on the previous codes. One of the aims of this work is how to prepare the questionnaires and select the appropriate images from a repertory of images according to the subject to which the questionnaires are intended. Moreover they have to be effectively classified for the programmed incorporation to the questions. Finally, when the programming code and the bank of the images are ready, the data have to be uploaded to the Moodle platform. The main aim of this work is to show the applicability of this novel Moodle question type among the self-learning tools in universities and to show how to customize this question type to a variety of different purposes.
PRODUCT SERVICE SYSTEM DESIGN TOUR: CO-CREATE A PILOT FIELD EDUCATION ACTIVITY IN DESIGN

Appears in: EDULEARN20 Proceedings Publication year: 2020Pages: 5762-5768ISBN: 978-84-09-17979-4ISSN: 2340-1117doi: 10.21125/edulearn.2020.1503Conference name: 12th International Conference on Education and New Learning TechnologiesDates: 6-7 July, 2020Location: Online Conference
HOW TO FORM ETHNOLINGUISTIC COMPETENCE AMONG FOREIGN STUDENTS OUTSIDE THE LANGUAGE ENVIRONMENT: AN ITALIAN EXPERIENCE

HOW TO FORM ETHNOLINGUISTIC COMPETENCE AMONG FOREIGN STUDENTS OUTSIDE THE LANGUAGE ENVIRONMENT: AN ITALIAN EXPERIENCE
TEACHING AND COACHING MILLENNIALS WITH APPS

Appears in: EDULEARN20 Proceedings Publication year: 2020Pages: 3710-3716ISBN: 978-84-09-17979-4ISSN: 2340-1117doi: 10.21125/edulearn.2020.1022Conference name: 12th International Conference on Education and New Learning TechnologiesDates: 6-7 July, 2020Location: Online Conference
Genetic Algorithms: A Heuristic Approach to Multi-Dimensional Problems

Evolutionary algorithms are not new and have been developed, both their concepts and framework, since around the 1950’s based on the idea that the evolutionary process could be used as a general-purpose optimization tool. The goal of this paper is to propose an alternative to classical optimization techniques that can handle systems of a very high dimension. With the rapid rise of computing power, as well as the augmentation of alternative sources of data, quantitative analysts are confronted by numerical challenges that didn’t exist a decade ago. In this paper, we show that a Genetic Algorithm (GAs) is a simple process based on the evolution paradigm that is well adapted to very large portfolios, increasing the execution speed; an optimization of a portfolio of more than 100’000 times series of 5’000 daily returns takes less than 5 minutes. Finally, we illustrate that, although GAs are a random process that generates a different solution every time it is run on the same data, it is remarkably stable.
LibGuides: Guide to Covid-19 Contact Tracing: News Articles

A guide to help users better understand what contact tracing is, what it does, and how to become a contact tracer.
ENGLISH LANGUAGE ACQUISATION OF STUDENTS WITH INTELLECTUAL DISABILITIES AT SPECIAL JUNIOR HIGH SCHOOL IN BENGKULU

Children with intellectual disabilities are often identified as having limitations in learning languages, however, the variation in the ability to learn English by the children is undeniable. The English language acquirement of the children can be influenced by various factors including educational opportunities which have been regulated in national law. In Indonesia, the national law about Education System No.20/2003 article 5 chapters 1, stated that every citizen has rights to obtain proper education. It means that all citizens have the rights to equal education without exception including children with disabilities, one of whom is children with intellectual disabilities. Intellectual disability is also called congenital cognitive developmental disorder (existing from birth) or cognitive problem that is suffered since childhood. Intellectual disability is also described as several conditions or diagnoses that are different from general characteristics that show disruption in the ability to learn and live in communities. Moreover, in Indonesia, most of children with intellectual disabilities are studying formal education in special schools. In the present time the curriculum in the special school prepares English unit of study that is designed and adapted to the level of abilities and the needs of their students. This research was conducted at a special school, SMPLB Dharma Wanita in Bengkulu Province. The finding showed that there were five levels of acquisition of semantic aspects of students with intellectual disabilities, namely very good, good, sufficient, low and very low. From the fifteen students with intellectual disabilities participants who were observed the average acquisition of their semantic aspects were Low. In addition, the researchers also found that so far the students had learned with learning techniques and textbooks that have been adjusted to the level of their intelligence.
DIGITIZED EDUCATIONAL PREVENTIVE PROGRAM FOR CHILDREN PROTECTION: DEVELOPMENT OF THE CONTENT AND THE ROLE OF AN EDUCATOR

DIGITIZED EDUCATIONAL PREVENTIVE PROGRAM FOR CHILDREN PROTECTION: DEVELOPMENT OF THE CONTENT AND THE ROLE OF AN EDUCATOR
To Become Digitally Competent: A Study of Educators' Participation in Professional Learning.

Digital competence has become a concept that gradually has been addressed in classroom practices as well as in policy documents. This is due to educational reforms regarding the digitisation of educational practices. How, then, can teachers make sense of these changes putting pressure on improved quality of their educational outcomes? The paper informs of a work-in-progress paper, which aims to shed light over how teachers in preschools and schools participated in professional learning to become digital competent. The overall research question addresses how teachers can be supported in their professional learning and digital technology integration through an action research approach, in particular inspired by Schon’s perspective on designing and learning, focusing on the initial design process. We investigated teachers’ tensions and sensemaking strategies regarding integration of digital technology in their educational practice through a model of participation, involvement, and responsibility (DIA model). Methodically, the paper is based on outcomes from two baseline questionnaires. The results unfold the importance of a context-conscious leadership as well as promoting team learning and collaboration between teams to create dynamics between the teachers.
15세기 문헌《월인석보》에서의 불교용어와 조선어한자어 류형 연구

As we know, Buddhism spread to Korea through China. To be specific, it spread to Goguryeo and Baekje first of all, and then spread to Silla in the mid-fifteenth century, which is defined as Three Kingdoms Period. Not only that, Goryeo Dynasty also take advantage of Buddhism and Confucianism to governance. For example, the King of Goryeo, who named Wang Geon left his last words that Buddhism should be the priority, for Buddha will protect the royal family and the country. By the time of the Joseon Dynasty, Confucianism became the main idea of govern. However, King Sejong adopted a policy of protecting Buddhism in late years. Especially, after Queen Soheon’s ascension, he began to believe in Buddhism and attach importance to compilation of Buddhist texts.This paper focused on the Buddhist vocabulary that spread to Korean lexical system by Sino-Korean words, which are included in ‘Seok-bo-sang-jeol’ and ‘Wol-in-cheon-gang-ji-gok’ (cf. prologue, and vol. 1, 2, 7, 9~15, 17~18, 21~22). This research will contribute to explore ancient scholars’ recognition of Buddhist vocabulary, and the Buddhist culture which spread to Joseon Dynasty by Sino-Korean words. Besides, it will also contribute to understand the status and spreading process of Buddhist vocabulary in Korean lexical system.