Reviewerly/exHarmony huggingface dataset:
Social Media in Teacher Education: Organizational and Pedagogical Conditions of its Effectiveness

The role of social media in a pedagogical context is the focus of attention of many researchers. At the same time, the issues of highlighting the conditions for the effective use of social media in the pedagogical context and the analysis of attendant risks remain open. The purpose of this study is to identify the organizational and pedagogical conditions for the effective use of social media in pedagogical education. The identified organizational and pedagogical conditions are based on five key provisions. 1. Implementation of the principle of intermodality, according to which each student should be given the opportunity to engage in various forms of activity (educational and social). 2. The leading role of technology in organizing group work (including in the framework of project activities). 3. Individualization of the learning process. 4. Ensuring the continuity of the educational process. 5. Creation of special means of motivating students and providing feedback (special groups within the framework of social media). These conditions for the use of social media in pedagogical education are based on the principle of intermodality. These conditions allow us to individualize the learning environment, which expands the possibility of creative self-expression in learning activities. Students receive opportunities to implement personalized feedback (from peers and teachers), create their own groups and forums for sharing information and creating new personally significant knowledge, tools for interacting with specialists from different subject areas and professional sphere. In this case, an indirect effect is also achieved – an impact on those who are not directly involved in the educational process. Due to the interactive and open nature of social networks, students serve as models of social behavior for their peers, which contributes to an increase in the number of subjects of the educational space. Peers who are experiencing such an impact, find themselves in the conditions of informal education in fact.
Music Video Clip Impression Emphasis Method by Font Fusion Synchronized with Music

Video content that displays lyrics synchronized with the music in, for example, karaoke or music videos on the Internet is becoming popular. The font can change the impression the users get from the content; therefore, by changing the font according to the content, it is possible to improve the content and the overall experience. We aim to develop a new lyric expression method by blending the existing fonts and synchronizing them with the music. In this study, we propose a method that generates fonts that match music videos by mixing fonts according to the music characteristics. Also, we reveal through experiments whether displaying lyrics in a blended font can emphasize music video impressions compared to displaying them in the existing font.
Future of the news function of printed press under the competition of electronic communications: a prospective study in the period 2015-2025

The technological development has led to the emergence of modern means of communication, such as electronic newspapers, tablets and mobile phones. Since modern communication media has assumed growing responsibility in the reporting and dissemination of news and information, printed media has been negatively affected. This paper aims to investigate the future of the news function of printing press under the competition of electronic means in the period 2015-2025 by determining the factors affecting this function, the experts' perceptions and the possible future scenarios. By conducting interviews with experts and analyzing the contents of news items in printed and electronic newspapers, this article reveals that printed press cannot be dead because it is more effective in shaping the reader's agenda and still adheres to professional norms. Results add that online news content lacks the professional guidelines, especially the accuracy and the attribution as many of the quotes are inaccurate, or are attributed to the wrong person due to the uncontrolled freedom of posting and modifying information online.
Classification-Based Emoji Recommendation for User Social Networks

Emoji recommendation focuses on solving time-consuming problem of finding emoji in social media platforms. The existing research works about emoji recommendation mainly take emoji as classification labels to train the relationship between emojis and texts by machine learning methods. However, they do not consider the one-to-many relationship between texts and emojis, nor do they pay attention to users’ motivation to use emojis in real social media. At the same time, few studies make emoji recommendation based on Chinese corpus. This paper divides million-level Chinese micro-blog corpus into different context sets according to emojis, then propose a method to generate emoji-related features by analysis, finally a classification-based recommendation method is proposed by integrating these features. The experimental results show that the proposed method significantly improves the accuracy of emoji recommendation in social media platforms.
AN ERROR ANALYSIS ON USING PERSONAL PRONOUNS IN WRITING DESCRIPTIVE TEXT

The objective of this research was to know the most types of error and the most error of personal pronouns in descriptive text due to the eleventh-grade students in their descriptive paragraph writing. This research conducted qualitative research. This research was conducted at SMK Negeri 1 Cimahi in Academic Year 2018/2019. To get the data, the researchers gave an instruction for the students to make a descriptive text about person, conduct the students' writing result, read the students’ writing result, identified the type of students’ writing error from their text, classified the type of personal pronouns error from students’ writing, and identified the high students, middle students and lower students. The sample of this research is nine students of eleventh grade from PFPT A Class (Broadcast). The result showed that there are four types of errors, they are: omission, addition, misordering, and disordering. In students’ writing had been found many errors that focused on personal pronoun is 8 or 32% of omission error, 0 or 0% of addition error, 17 or 68% of mis-formation error, and 0 or 0% of disordering error. So, the highest percentage of types of error is a mis-formation error that is 17 or 68%. The most error of personal pronouns in descriptive text due by the students is when they used a subject pronoun. Keywords: Error Analysis, Personal Pronoun, Descriptive Text.
An Empirical Study on Improving Speaking Skills of Students in Vocational Colleges Under MALL Environments

The purpose of this research was to explore the impact of mobile technology on speaking skills of students in vocational colleges when mobile learning was implemented in English teaching and learning. Two classes participated in the experiment, one of which as EG used mobile technology, while the other as CG did not. Both classes improved speaking skills after the experiment, but EG significantly outperformed CG, especially in their pronunciation and fluency. Furthermore, most students held positive perceptions of mobile learning. These results suggest that mobile technology can greatly improve studentsâ€™ speaking skills as students are encouraged and motivated to practice English speaking more frequently, make interactive connection with people around in a MALL environment.
Enlivened Laboratories within STEM Education (EL-STEM)

Inspired by the emerging technologies of Augmented and Mixed Reality (AR/MR), the Enlivened Laboratories in Science, Technology, Engineering and Mathematics (EL-STEM) project aims to develop a new approach, integrating these technologies into school laboratories, for encouraging secondary school students’ STEM engagement. In particular, EL-STEM’s main objectives are to attract students who might not be interested in STEM-related studies/careers, enhance the interest of those who have already chosen these fields of studies/careers, and improve students’ performance in STEM-related courses. Moreover, EL-STEM provides teachers with high quality professional development opportunities to acquire knowledge and skills to effectively embed AR/MR in teaching and learning. This book chapter aims to provide an overview of the EL-STEM project and describe use cases of Augmented Reality in STEM education.
Ontology model for intake suggestion and preparation for malay confinement dietary recipes

&lt;a name="_Hlk14123028"&gt;&lt;/a&gt;&lt;span&gt;This paper presents the ontology model for Malay Confinement Dietary (MCD) recipes which include the intake suggestion and its preparation&lt;/span&gt;&lt;span&gt;. MCD plays a big role to ensure that mothers in confinement get the right nutrient in order to restore back their health. In the current research on MCD, the covered part is only on what are the foods allowed to be taken by mothers during confinement and the nutrients that it can boost in mothers’ body. However, it does not include what are the preparation methods of the food and what is the suggested intake time for that dish. These two aspects could give the certainty factor for mothers to get the sufficient nutrient during confinement. But those knowledges are known by the traditional Malay midwives. Hence, this tacit knowledge should be modeled into an ontology model as one of the knowledge preservation methods. Three new classes together with four new object properties were added to the current model and based on testing that has been done, the extended new model of ontology could retrieve the correct information as needed.&lt;/span&gt;
Text-to-Image GAN-Based Scene Retrieval and Re-Ranking Considering Word Importance

In this paper, we propose a novel scene retrieval and re-ranking method based on a text-to-image Generative Adversarial Network (GAN). The proposed method generates an image from an input query sentence based on the text-to-image GAN and then retrieves a scene that is the most similar to the generated image. By utilizing the image generated from the input query sentence as a query, we can control semantic information of the query image at the text level. Furthermore, we introduce a novel interactive re-ranking scheme to our retrieval method. Specifically, users can consider the importance of each word within the first input query sentence. Then the proposed method re-generates the query image that reflects the word importance provided by users. By updating the generated query image based on the word importance, it becomes feasible for users to revise retrieval results through this re-ranking process. In experiments, we showed that our retrieval method including the re-ranking scheme outperforms recently proposed retrieval methods.
Trajectory Planning and Simulation for Live-Working Robot

The traditional live-working method is very easy to cause people to die, and the use of live-working robots instead of manual work is an effective solution. A self-developed modular six-degree-of-freedom robot is adopted for live-working robot. Firstly, the expressions of inverse solutions are deduced by inverse transformation method, and the optimal solution is selected according to the weighted “shortest travel” criterion and the collision detection method based on cylinder envelope. Then, the straight-line trajectory planning of Cartesian space is carried out. Finally, the correctness of the trajectory planning algorithm is verified by MATLAB, which provides a theoretical basis for further dynamic research of live robot.
Is Your Library Ready for the Reality of Virtual Reality? What You Need to Know and Why It Belongs in Your Library

Virtual reality (VR) is no longer just gaming.It's increasingly being deployed across academic campuses and is becoming indispensable in fields ranging from the humanities to engineering to anthropology.A recent survey indicated that 100% of ARL campuses were using VR, with 40% of libraries actively supporting it.This paper discusses practical examples of how libraries are helping their institutions build out virtual reality utilizing 3D objects and explains why the library is the best place to do so.It provides a basic grounding in VR and related areas, showing what it is and why it's important to libraries.Specific attention is paid to VR deployments of AR/VR by the library across the campus.
Analisis kualitas website Dewan Perwakilan Mahasiswa Universitas Telkom menggunakan WebQual 4.0

Telkom University is a tertiary institution that has a variety of student organizations as a place to channel and develop the potential of students. Student Council of Telkom University Student Family or commonly abbreviated as DPM Kema Tel-U is one of the student organizations at Telkom University that has several functions such as supervision, legislation, aspirations, and budget. The involvement of Telkom University students is needed in carrying out these four functions, and one of the methods used is to carry out publication activities related to various activities that will be or are being held. However, Kema Tel-U DPM has not been able to maximize the website which is considered to be the main channel in information dissemination activities. To answer these problems, researchers will conduct a literature study to obtain various relevant theories, modify the WebQual 4.0 instrument that is tailored to the research needs, then conduct questionnaires to 120 students of Telkom University. The collected data will be analyzed using the suitability level method and importance-performance analysis using the SPSS version 25 application to answer the research problem. This study aims to determine the level of user satisfaction with the DPM Kema Tel-U website, as well as identify variables that need to be addressed to improve the quality of research objects by their priorities. The results obtained are the priority order for improving a website maintained by the Student Representative Council of Telkom University, and a new instrument derived from modified WebQual instruments 4.0. This research can be a reference to assess other websites that are similar to the DPM Kema Tel-U website.
Few-Shot and Zero-Shot Learning for Historical Text Normalization

Historical text normalization often relies on small training datasets.Recent work has shown that multi-task learning can lead to significant improvements by exploiting synergies with related datasets, but there has been no systematic study of different multitask learning architectures.This paper evaluates 63 multi-task learning configurations for sequence-to-sequence-based historical text normalization across ten datasets from eight languages, using autoencoding, grapheme-tophoneme mapping, and lemmatization as auxiliary tasks.We observe consistent, significant improvements across languages when training data for the target task is limited, but minimal or no improvements when training data is abundant.We also show that zero-shot learning outperforms the simple, but relatively strong, identity baseline.
A Study of the Errors in the Use of Capitalisation Among Junior Secondary School Pupils in Bo District

Writing constitutes one of the main skills that second language learners find difficulty in. One area they find difficult in the process of writing compositions is the correct use of capital letters.&#x0D; This study is an attempt to describe the common errors that pupils commit in the use of capitalisation in written texts. Since the use of capital letters constitutes an important area in the overall assessment of pupils’ written texts, this study provided necessary information to guide teachers of Language Arts in preparing pupils for writing tasks. The main objective therefore was to categorise and determine the extent to which errors are committed by Junior Secondary School pupils.&#x0D; In order to obtain data for this study, three Junior Secondary Schools were selected in the Bo Municipality. Fifty pupils were randomly selected from each of the three schools, comprising twenty-five from JSS 2 and twenty-five from JSS 3. This gave a total of one hundred and fifty pupils in all. The pupils were given a task to write a composition of at least one hundred and fifty words under normal examination conditions.&#x0D; The study revealed that pupils had generally not understood the rule involved in the use of capital letters. The areas where errors were more prominent involved proper nouns, beginning of a sentence, poor background knowledge of letter shapes, overgeneralisation and not capitalising the first word in the closing of a letter.
Penentuan Tingkat Kepuasan Pasien BPJS Terhadap Kualitas Pelayanan di Rumah Sakit dengan Menggunakan Algoritma C4.5

BPJS patient satisfaction is one of the most important things in assessing the level of service provided by the hospital to its patients. The purpose of this study was to determine the quality of service to the satisfaction of patients with BPJS Hospital Tk. IV 01.07.01 Pematangsiantar which is reviewed from the aspects of Reliability, Responsiveness, Assurance (Insurance), Emphaty (Empathy), Tangibles (Real Form) in patients with BPJS Hospital Tk. IV 01.07.01 Pematangsiantar. At the Tk Hospital. IV 01.07.01 Pematangsiantar the five aspects have not been measured with certainty, so the Tk Hospital. IV 01.07.01 Pematangsiantar find it difficult to determine which aspects should be improved. By using the C4.5 algorithm, the author tries to measure the five aspects so that a decision tree is formed. After manual calculation, then verification is done using RapidMiner software. Tests carried out with RapidMiner software by using the apply model %Performance.
Search and Interfaces for Search

The development of information technology over the last three decades has revolutionized everyday activities in a domain that can be referred to as personal information management. The personal information environment in which this management takes place consists of both digital and nondigital information artifacts, which a user employs systematically. Interfaces of digital information technology employ analogies for nondigital affordances and nondigital methods of handling information artefacts. Ethnographic studies of nondigital information management have established two poles toward which personal information management strategies tend to gravitate: systematization of documents kept in topically organized folders and keeping documents in chronologically organized piles. Interfaces of digital information technologies provide affordances for both types of strategies. Affordances that make possible dealing with digital information artifacts provide means for finding objects without caring about their location; this is an essentially new feature, unavailable in the nondigital world. Context-sensitive technologies on mobile platforms add opportunities for everyday search such as allowing for finding objects within the information layer of augmented reality and satisfying users’ need for services in addition to simply finding information. Everyday search practices have been most affected by technology that analyzes data on users’ behavior and displays certain degree of agency while providing personalized recommendations and offering objects that the user did not know about or did not look for. Text in Russian DOI: 10.25285/2078-1938-2019-11-1-152-165
Abilities of self-revelation by the students of creative directions of preparation: retrospective analysis

Abilities of self-revelation by the students of creative directions of preparation: retrospective analysisResults of empirical research of future representatives of creative specialities, namely the students of artonomic directions of preparation are presented in article.Such kind of professional work requires from the person special abilities, not characteristical for the most of the representatives of the population.Within forecasting of success of development by them of professional skills question about sensibleness and independence of made professional choice sharply stands.One of factors of such is a sharp representation of its own abilities and comprehension of the reasons of their detection.The problem of research was that there is no psychological tool for revealing of designated subject.Retrospective analysis that was used is subjective method, however it is represented possible for use, though to consequence it can be complemented also with method objective, for example, expert evaluation.Used approach, in aggregate with polling methods allowed to designate the mechanisms of abilities self-revelation by the students.The most often met mechanism is an external incentives of success in creative activity that promoted seeking to further self-realization in it and choosing the appropriate direction of preparation.Polling methods showed conformity of abilities of students to chosen directions of preparation.
The Relationship between Telegram Application as a History Learning Platform and Student Performance

The advances in technology and communication have brought changes in the teaching and learning and daily lives of students both at school and university. Learning in the 21st century has largely used interactive media as an intermediary and a form of channel in the transmission of information. One of the most popular applications in the teaching and learning process is the Telegram application. This app is one of the most popular interactive mediums for educators because of its suitability for sending messages, sharing lecture notes, and being accessible not only via smartphones but also computers without the need for a smartphone connection. The Telegram app also provides an effective means of interaction among students and teachers and helps to accelerate their learning process. This concept paper aims to discuss the application of telegram applications as a teaching and learning platform for History with student performance focused on secondary school students. Telegram applications have many advantages over other applications commonly used in education. One of the benefits is that you can save your shared data without being downloaded directly to your smartphone or computer and share documents in larger sizes up to 1.5GB. In conclusion, the use of the Telegram app helps students to better understand the learning outcomes and thus improve their learning performance
Research on Analytic Algorithm of Building Structure Appearance Based on Improved Learning Grammar

Semantic segmentation is one of the biggest and most important concerns of computer vision in order to synthesize novel designs and reconstruct buildings.Traditionally, a human expert was required to write grammars for specific building styles, which limited the scope of method applicability.The main purpose of this paper is to improve learning grammar used for building's façade segmentation.To deal with that, we propose a framework with two layers: in the first layer, we provide a reinforcement learning (RL) techniques to make the segmentation allowing the user to brush strokes on the input image through Gaussian Mixture Models (GMM).Still in this layer, the segmentation can be also make based on shape grammars.Note that for both segmentation, we get as output a ground-truth segmentation.The second layer consist to learn automatically an inferred grammar.Thanks to ground-truth segmentations generated in previous layer, in particular the one generated by RL techniques, we perform clustering techniques to make an improvement of the grammar learned.We evaluate our model on two different datasets and compare in the state-of-the-art our learned-grammar.It show that the proposed outperformed performance gain compared to other learned grammar methods in all the two dataset.