Reviewerly/exHarmony huggingface dataset:
Training teachers to teach PISA-like reading: A case in Indonesia

This paper presents partial results of the first year of a multi-year joint study, involving three universities in Indonesia, aiming to develop a program to train English and Indonesian teachers to teach PISA-like reading (24 teachers in junior and senior high schools in West Java, Indonesia). The study aimed to identify whether the program can help the teachers enhance their PISA-like reading ability, create PISA-like reading materials for reading practices, and teach them to their students. The program drew on principles of effective teacher professional development (Ajani, 2018; Borko, 2004; Borko et al., 2010; Darling-Hammond et al., 2017), PISA reading (OECD, 2009, 2016, 2017, 2019, 2021), text-based instruction (Macken-Horarik et al., 2017), Reading to Learn Program (Rose, 2020a,b), and online teaching (Ragan, 2015). The study uses a program evaluation with the data collected from four sources, including a phase of training, pre- and post-tests, collection of PISA-like reading materials, and questionnaires distributed before and after the training program. The focus of the first year was on enhancement of teachers’ understanding and skills in different PISA-related aspects. Enhancement of their teaching capacity has not been explored, except for that prior to the training program, and this has been reported in Rahmadina and Emilia (2022). The first-year results reveal that the training program could help enhance the teachers’ ability to read, to use appropriate texts, and to construct PISA-like reading tasks. This was confirmed by the teachers’ positive responses to the program, in accordance with previous research on effective teacher professional development (TPD). It is recommended that the training program be conducted in different contexts, involving more teachers to help students learn to read and succeed in PISA reading.
Community-aware Social Recommendation: A Unified SCSVD Framework (Extended Abstract)

Social recommendation aims at improving recommendation performance by incorporating social information. Most existing social recommender systems only utilize the one-hop interpersonal social information, neglecting the community structure emerged in social networks, which may contain additional conducive information. In this paper, we propose a unified Simultaneous Community detection and Singular Value Decomposition (SCSVD) framework for community-aware social recommendation. An efficient optimization algorithm is also derived to optimize SCSVD, with an analysis of convergence and computational complexity. Comprehensive experimental results on three real-world benchmark datasets demonstrate the effectiveness of SCSVD, over both traditional matrix factorization based recommendation models and advanced neural network based recommendation models.
Efficient Top-k Vulnerable Nodes Detection in Uncertain Graphs (Extended abstract)

Uncertain graphs have been widely used to model complex linked data in many applications, such as guaranteed-loan networks and power grids. In these networks, a node usually has a certain chance of default due to self-factors or the influence from upstream nodes. For regulatory authorities, it is critical to efficiently and accurately identify the vulnerable nodes, i.e., nodes with high default risk, such that people could pay more attention to these nodes for the purpose of risk management. In this paper, we propose and investigate the top-k vulnerable nodes detection problem in uncertain graphs. Due to the hardness of the problem, sampling-based methods are proposed with tight theoretical guarantee. We demonstrate the performance of proposed techniques on 3 real financial networks and 5 benchmark networks.
OHAR: Optimized Human Action Recognition Paradigm using Optimized Type 2 Neuro-Fuzzy Classifier

Human activity recognition (HAR) is made to identify actions and goals of persons one or more from the images which contain sequence of actions related on environments and actions.However, different issues and challenges are increased in the applications of human activity recognition for improving detection accuracy with different activities.Hence, Optimized Human Action Recognition Paradigm (OHAR) is developed.In the paper, optimized type 2 fuzzy classifier is designed to classify human actions from the image database.The input video is transformed into multiple region in the initial stage.The collected frames are sent to the preprocessing stage for removing noise from frames.After that, the key frame is selected from the image frames by using the Structural Similarity Index (SSIM).Once key frames are selected, the three feature extraction methods are utilized like Space-Time Interest (STI) points, grid shape feature, and coverage factor.Finally, the proposed classifier is proceeding to human activity recognition with selected features set.Here, an optimized type 2 neuro-fuzzy classifier is used for detecting human action.The proposed classifier is enhanced Rider optimization algorithm (ROA).The presentation of proposed method is evaluated based on statistical computations such as accuracy, sensitivity, specificity, recall, and F_Score.
IT dan Pendidikan Distance Education

The distance education model has made a significant contribution to the history of distance education in Indonesia, despite the quality of the results, it is still the basis of controversial debates in this country. The significance of the contribution can be seen from the perspective of the number of students who live in rural areas and those who have financial problems can experience adequate education through distance education. The method in this paper is a literature study which is library research. Literature research is a series of activities related to library data collection methods. Literature study is also a theoretical study, references and other scientific literature related to culture, values and norms related to the social situation under study. From a historical perspective, distance education is seen from three phases of development; the introductory phase, from the 1950s to 1983, the socialization phase from 1984 to 1993, and the innovation phase from 1994 to the present. Correspondence studies and Palapa satellites were categorized as instructional delivery systems in the introductory phase, radio communication systems in the socialization phase, and cassettes, slide tape programs, videos, television, Nusantara 21 electronic communication systems, and video conferencing technology used to deliver instructional messages in this phase. innovation. Although various models of distance education such as study correspondence, Palapa satellite, radio communication systems, audio cassettes, slide programs, tapes, videos, television, electronic communication systems, and video conferencing technology have been applied in many subject matter.Keywords. Distance Education; E-Learning; Instructional Technology
The Performance of Library Observers at the Sinjai Regency Library and Archives Service in Encouraging and Increasing Young Generation's Reading Interest

The library as it exists and is developing, has now been used as a center for information, a source of knowledge, research, recreation, preservation of the nation's cultural treasures, as well as acting in other services. The purpose of this study was to determine how the performance of library observers at the Sinjai Regency Library and Archives Service in encouraging and increasing interest in reading for the younger generation. This study uses a qualitative descriptive type of research to provide a clear description and overall description of the performance of the Library Observer in encouraging and increasing the reading interest of the younger generation. Data collection techniques used are observation, interviews and documentation. The informants in this study were the Head of the Office of the Library and Archives of Sinjai Regency, Library Observer Management, and Library Visitors. Data analysis techniques used are data collection, data reduction, data presentation, and drawing conclusions. The results of data analysis show that the performance of Library Observers at the Library and Archives Service of Sinjai Regency in encouraging and increasing reading interest of the younger generation is less effective, because its contribution is less than optimal in carrying out its duties and functions.
Recycling nonlocality in a quantum network

It has recently been discovered that the nonlocality of an entangled qubit pair can be recycled for several Bell experiments. Here, we go beyond standard Bell scenarios and investigate the recycling of nonlocal resources in a quantum network. We realise a photonic quantum 3-branch star network in which three sources of entangled pairs independently connect three outer parties with a central node. After measuring, each outer party respectively relays their system to an independent secondary measuring party. We experimentally demonstrate that the outer parties can perform unsharp measurements that are strong enough to violate a network Bell inequality with the central party, but weak enough to maintain sufficient entanglement in the network to allow the three secondary parties to do the same. Moreover, the violations are strong enough to exclude any model based on standard projective measurements on the EPR pairs emitted in the network. Our experiment brings together the research program of recycling quantum resources with that of Bell nonlocality in networks.
Monotone Learning

The amount of training-data is one of the key factors which determines the generalization capacity of learning algorithms. Intuitively, one expects the error rate to decrease as the amount of training-data increases. Perhaps surprisingly, natural attempts to formalize this intuition give rise to interesting and challenging mathematical questions. For example, in their classical book on pattern recognition, Devroye, Gyorfi, and Lugosi (1996) ask whether there exists a {monotone} Bayes-consistent algorithm. This question remained open for over 25 years, until recently Pestov (2021) resolved it for binary classification, using an intricate construction of a monotone Bayes-consistent algorithm. We derive a general result in multiclass classification, showing that every learning algorithm A can be transformed to a monotone one with similar performance. Further, the transformation is efficient and only uses a black-box oracle access to A. This demonstrates that one can provably avoid non-monotonic behaviour without compromising performance, thus answering questions asked by Devroye et al (1996), Viering, Mey, and Loog (2019), Viering and Loog (2021), and by Mhammedi (2021). Our transformation readily implies monotone learners in a variety of contexts: for example it extends Pestov's result to classification tasks with an arbitrary number of labels. This is in contrast with Pestov's work which is tailored to binary classification. In addition, we provide uniform bounds on the error of the monotone algorithm. This makes our transformation applicable in distribution-free settings. For example, in PAC learning it implies that every learnable class admits a monotone PAC learner. This resolves questions by Viering, Mey, and Loog (2019); Viering and Loog (2021); Mhammedi (2021).
THE BENEFITS OF VIRTUAL LEARNING ENVIRONMENT (VLE) IN TEACHING ESP

The article considers the peculiarities of using the latest technologies in teaching English for specific purposes (ESP), namely the virtual learning environment (VLE), which allows teachers to hold online meetings, get quick students' feedback, optimize the educational process, helps to develop students' creative skills, critical thinking, communication skills, problem-solving thinking, activate research work, analyze innovative professional-oriented approaches to the educational process, as well as the main ways to improve students' training.Virtual learning environment, as computer-mediated, involves the use of innovative teaching methods that are closely linked, used for quality and effective organization of educational process and are based on a combination of e-learning, m-learning, u-learning, f-learning, blended learning, modular learning environment Moodle, etc. VLE is educational environment that provides the interaction of all subjects of educational process, includes the use of various elements, namely universal virtual online boards for group discussions in visual format such as Jamboard, Padlet, Twiddla, Miro, Conceptboard, Groupboard, Mentimeter and many others that can be used to accommodate a variety of content, professionally oriented learning tasks, in the consolidation, generalization of papers, envisaging of new materials and summarizing.A special place in the virtual educational process is occupied by the dominance of interactive self-learning in the presence of constant feedback, creation of virtual groups, use of social networks, information and telecommunication technologies, innovative electronic game technologies, forums, such inquiry-based activities as web-quests (technology-quests), QR-quests, media quests, etc., which serves as an effective means of improving the quality of teaching English for specific purposes, provides modern approach to the formation of professional competence and deepens the professionally oriented knowledge.
Students’ perceptions of online reading behaviour at an institution of higher learning in South Africa: A pilot project

Technological advances and the internet have altered the way people engage with reading material. Students’ reading preferences are increasingly screen-based as most students prefer and are required to use online reading in higher education institutions. The research explored the perceived impact of online reading on students’ reading comprehension and academic performance. A non-experimental research design was utilised for this survey, typically including the quantitative domain and, to a lesser extent, the qualitative domain. Seventy-one students who were available and consented completed the survey and included 20 first year, 19 second year, 22 third year and ten fourth year students. The results from a pilot study conducted on first to final year students at a department from a Health Care Sciences University indicated mostly positive feedback regarding the perceived effect of online reading on reading comprehension and academic performance. Most students prefer online reading as it is easily accessible, visually interactive and provides unlimited access to information. The results showed correlations and contradictions to the findings presented in the literature. Conclusions, recommendations and implications are made based on the findings of the study. The findings indicate that students, especially first-year entering students, should be prepared for online reading and be made aware of online reading techniques to support them in attaining academic literacy. These reading techniques could improve the throughput rate and lower the dropout rate in higher institutions in South Africa.
VARIABILITY OF EDUCATIONAL DISCIPLINES OF SPECIALTY 022–DESIGN IN THE REALITIES OF THE MARTIAL

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FORMATION OF MEDIA COMPETENCE IN THE PROCESS OF DISTANCE EDUCATION: FACTORS OF INFLUENCE. QUALITY

The article considers the main factors that affect the quality of distance learning in the context of media competence formation. Incompetent use of information and media technologies, lack of modern software, computer equipment and media, as well as the media competence formation in tutors and students negatively affect the quality of distance learning. Our research allowed us to identify the main factors influencing the effectiveness of the media competence formation of the teachers and students in the distance education system. The factors we have identified directly affect the quality of distance learning. Such factors include: preparation of the discipline’s content, motivation and interest of all participants in the educational process, media competence of the tutor and students, material and technical equipment of both tutor and student, factors of the media environment of higher education, factors related with individual characteristics of all participants in the educational process. We also substantiate the significance and nature of the factor we have identified that significantly affects the effectiveness of distance learning in higher education institutions. In our study it has been found that for the effective use of the media environment of a higher education institution it is necessary to have: material and technical equipment, educational content, competent tutors, means of control, technologies for using cloud technologies. Therefore, we have considered the criteria of the process of evaluating educational content, the effective use of communicative means of participants in the educational process, the professionalism of the teachers.
Vision Zero in Germany

Abstract Vision Zero has a central role in traffic safety in Germany. Finally, it was even a relevant point in the coalition treaty from the Federal Governing Parties in the year 2018. It is a unifying theme for safety measures taken on the federal, state, and local levels and in private, nonprofit traffic safety organizations. In later years, cooperation between these different agents has been intensified. Evaluation and measurability are essential in the German approach to Vision Zero. One example of this is the statistical work performed every year to identify “zero cities,” i.e., cities that had zero road fatalities the previous year. A yearly award puts focus on cities that have a particularly long string of zero years, in relation to their size. This is performed on an international level, and cities around the world are incentivized by these recognitions. Munich is used as an example of a city that has recently stepped up its traffic safety work. The city has adopted Vision Zero and followed up this with intensified traffic safety work, including improved data collection, the identification of accident black spots, targeted measures to improve safety in these black spots, safety audits of new infrastructure plans, etc. Before the introduction of new traffic technologies which may have an impact on safety, in-depth technology assessment has to be performed. This is illustrated by an example in which sufficient prior technology assessment did not take place, namely the introduction of e-scooters in Germany. After their introduction, they have turned out to be significantly more dangerous than bicycles, as can be seen from the statistics of fatalities and severe injuries. Proposals are made for measures are needed to reverse this trend, including obligatory use of helmets. The dialogue with neighbor states is also essential. Here the Traffic Expert Society of Medical and Technical Biomechanics, gmttb (Germany, Austria, and Switzerland= D A CH), has initiated to discuss and bundle basic principles of the Vision Zero in three neighbor countries. To promote Vision Zero, gmttb also organizes interdisciplinary yearly conferences with experts from Austria (Vision Zero is a state philosophy) and Switzerland (here named Via Sicura) to bundle strength and adopt ideas together with Swedish and multinational experts. As well as a yearly gmttb Vision Zero Safety Award is granted to motivate people, organizations, and manufacturers to promote good ideas for better traffic safety.
A review of media health literacy in children and young people and its associated factors

Media and health literacy are important dimensions that shape health and social behaviors among children and young people.Understanding the factors associated with media health literacy (MHL) is imperative to effectively promote healthy behaviors.This study performed a review, with systematic search, to determine the influential factors associated with MHL among children and young people.The authors searched Scopus, Web of Science, PubMed and Thai Journal Online database for English and Thai language articles, from inception until December, 2020.Of 1,479 articles identified, 1,297 were screened by title and abstract, and 209 full-texts were screened for inclusion criteria of the review.Eight articles, which reported associated factors with MHL for a target population of persons under age 25 years, were included in the analysis.The results show that children and young peoples' MHL was associated with individual factors, e.g., gender, age, education, stress, communication skill, media use, and healthy lifestyle factors, whilst the associated environmental factors are parental attributes and key informants of health information.Factors associated with MHL identified in this study may assist policymakers in appropriately creating interventions for promoting children and youth's MHL and, thus, healthy behaviors and future risk reduction.
DETERMINATION OF THE INNOVATIVE TRAJECTORY OF A MODERN EDUCATIONAL INSTITUTION DEVELOPMENT: VALUABLE AND SENSE ORIENTATIONS

The article considers innovative activity and research and experimental work as the main factors in the innovative development of a modern educational institution. The need to understand the research and experimental work as an essential component of innovation, as a conscious effective tool for understanding the reform of the traditional school system in innovation is explained. The article examines the value and semantic orientations of teachers, and heads of educational institutions as certain guidelines in the situation of choosing the direction of innovative search by the teaching staff, determining the innovative trajectory of a particular educational institution. Is shown that the critical position of this definition is the awareness of value-semantic landmarks, which become the basis on the way from the emergence of the pedagogical idea (innovation), choosing the direction of innovative search and building an innovative trajectory of development in a particular educational institution to create a model of innovative development of such institution as a whole. The author argues that the separation and development of value-semantic orientations of teachers and, above all, heads of educational institutions in the context of innovation is the basis for creating optimal conditions for research and experimental work in modern educational institutions.
Estimating solar radiation using canny edge for meteorological data in radionuclide release analysis

The study of atmospheric dispersion requires meteorological data from the nuclear reactor site. Parameter data that is very important to solve the atmospheric dispersion equation is weather stability. Weather stability, among others, requires solar radiation data. One way to measure solar radiation is to use an actinograph equipment like in BMKG Mempawah. The actinograph measurement results are curve, the edge of the curve is calculated using a planimeter to get solar radiation value. In this study, a code was developed to calculate the curve edge detection with phyton. The data used is Mempawah BMKG Station for one month periodical hourly on March 2021. The stages of processing the image to get the solar radiation value are pre-processing, processing and post processing. In the pre processing stage, the canny edge detection method is used to get the edge of the curve, as the basis to get solar radiation value. The regression model between the results of the planimeter calculation and the code has a correlation coefficient of 88.6 % with R-square of 78.5 %, which means that the result of the code calculations can explain the results of planimeter measurements of 78.5 %. Based on the result shows that canny edge method can be used to simplify the calculation of solar radiation. Further research with other method needs to be done to get better results. The Solar radiation value obtained from calculations using planimeter or code, based on table 1 is in the range between 175 – 675. The solar radiation value in meteorological data is used to calculate atmospheric stability