Reviewerly/exHarmony huggingface dataset:
Ontology-Controlled Automated Cumulative Scaffolding for Personalized Adaptive Learning

Scaffolding that provides transfer of responsibility is one of the central challenges in personalized adaptive learning (PAL) environments. We extend the well-known concept of the "inner loop" in PAL and fill the gaps between the inner loop (micro-adaptation) and outer loop (macro-adaptation). This extension leads us to a new method of cumulative instructional scaffolding based on explicit knowledge representation. This representation consists of domain ontologies and simulation models of tasks that automatically generate items, formative feedback, and additional pedagogical interventions throughout the scaffolding process.
Using Metacognitive Information and Objective Features to Predict Word Pair Learning Success

There is a variety of metacognitive information that can be used to model learning success, such as judgements of learning (JOLs) and feeling of difficulty (FOD). The latter is not widely used, and part of this study is to collect FODs through crowed annotation and demonstrate its potential as a predictor of learning success. While objective features related to task difficulty provide valuable information for the modeling task, we show evidence that FOD can provide similar insight. We examine and compare the use of objective and subjective features as predictors for learning success in second language word pair learning. The results indicate that metacognitive information is transferable across different groups of subjects. They also show that crowed annotation is a useful method for enriching datasets with FODs and potentially other metacognitive information.
Moving Objects Detection in Video by Various Background Modelling Algorithms and Score Fusion

The paper presents results from testing ten of the fastest background modelling algorithms applied for detecting moving objects in video. The algorithms are Fast Principal Component Pursuit (Fast PCP), Grassmann Average (GA), Grassmann Median (GM), Go Decomposition (GoDec), Greedy Semi-Soft Go Decomposition (GreGoDec), Low-Rank Matrix Completion by Riemannian Optimization (LRGeomCG), Robust Orthonormal Subspace Learning (ROSL), Non-Negative Matrix Factorization via Nesterovs Optimal Gradient Method (NeNMF), Deep Semi Non-negative Matrix Factorization (Deep-Semi-NMF) and Tucker Decomposition by Alternating Least Squares (Tucker-ALS). Two new algorithms employing score fusion from Fast PCP and ROSL, which yielded alone the highest Detection Rate, Precision and F-measure, are proposed. The first algorithm has higher Detection Rate from all the others and the second—the highest Precision. Both are considered applicable in various practical scenarios when seeking either higher reliability of object detection or higher precision of the covered area by each object.
Development and simulation of the quantum microarchitecture operation using an optimization algorithm for a quantum calculation process

The theory of quantum computing is being actively developed. Despite the fact that quantum computing device has some peculiarities, any task designed for a classical computer can be reproduced on a quantum system. The aim of the research is to develop a methodology for constructing models of quantum systems simulators using hardware simulators. The subject of this research is methods for constructing quantum computing devices and systems. In the course of the research, the system analysis methods and computer modeling, methods of object-oriented design were used. Modern high-level languages were used to solve the problems of constructing a modular quantum system with an open architecture. The work of a quantum microarchitecture using an algorithm for optimizing a quantum computational process has been developed and modeled. A universal methodology for modeling algorithms of a quantum nature using the hardware core and requirements for the mutual operation of software and hardware components for the efficient operation of a quantum system is derived.
Emotional Speech Synthesis with Emotion Embeddings

Several neural network architectures provide high-quality speech synthesis. Several neural network architectures provide high-quality speech synthesis. In this article, emotional speech synthesis with global style tokens is researched. A novel method of emotional speech synthesis with emotional text embeddings is described.
Applied mathematics and computer science educational program development in the context of the emerging digital economy

The article analyzes the digital part of the "Applied Mathematics and Computer Science" educational program competence model at different levels of education. The most popular competencies are identified and the digital economy competencies necessary for graduates of the educational program based on the analysis of the employers’ requirements are formulated, taking into account the level of education. The proposals for updating the educational process in applied mathematics and computer science are presented considering the current trends in the development of the digital economy.
Conceptual approach to assessing the development potential of a university

The article presents the rationale for determining the future state of the university based on the assessment of the development potential taking into account the involvement of the objects transforming potentials of the university external environment. As a result of the study, the systemic interactions of the market of educational services with the state and other markets were identified, and factors of the internal and external macro- and microenvironments that affect the efficiency of the university were also identified: dependence of the university on the parameters of the input and output values of the subjects of the external macro- and microenvironment is described; a diagram of the university’s usage of the market objects potentials of educational services and external environment subjects is developed: a conceptual approach to the self-government of the university based on the assessment of its development potential is created.
An overview of regulatory sources and practices of information security incidents management

Any organization should take into account the threats to information assets to ensure information environment security. It is impossible to identify an entire field of all possible threats for each specific business: appearance of new threats may be caused by changes in the internal or external working conditions of an organization as well as the development of new technologies and other changes. Using time-tested standards and best international practices is highly recommended for managing incidents.
Verification and Validation for a Project Information Model Based on a Blockchain

Agile project management based on minimum viable products has some benefits against the traditional waterfall method. Agile supports an early return of investment that supports circular reinvesting and makes the product more adaptable to variable social-economical environments. However, agile also presents some intrinsic issues due to its iterative approach. Project information requires an efficient record of the requirements, aims, governance not only for the investors, owners or users but also to keep evidence in future health and safety and other statutory compliance-related issues. In order to address the agile project management issues and address new safety regulations, this paper proposes a project information model (PIM) based on a distributed ledger technology (DLT) with a ranked procedure for the verification and validation (V&V) of data. Each V&V phase inserts a process of authenticity, data abstraction and analytics that adds value to the information founded on artificial intelligence (AI) and natural language processing (NLP). The underlying DLT consists of smart contracts embedded on a private Ethereum blockchain. This approach supports a decentralised approach in which every project stakeholder owns, manages and stores the data. The presented model is validated in a real scenario: University College London—Real Estate—Pearl Project.
Real-Time and Zero-Footprint Bag of Synthetic Syllables Algorithm for E-mail Spam Detection Using Subject Line and Short Text Fields

Contemporary e-mail services have high availability expectations from the customers and are resource-strained because of the high-volume throughput and spam attacks. Deep machine learning architectures, which are resource hungry and require offline processing due to the long processing times, are not accepted at the front-line filters. On the other hand, the bulk of the incoming spam is not sophisticated enough to bypass even the simplest algorithms. While the small fraction of the intelligent, highly mutable spam can be detected only by the deep architectures, the stress on them can be unloaded by the simple near real-time and near zero-footprint algorithms such as the bag of synthetic syllables algorithm applied to the short texts of the e-mail subject lines and other short text fields. The proposed algorithm creates a circa 200 sparse dimensional hash or vector for each e-mail subject line that can be compared for the cosine or Euclidean proximity distance to find similarities to the known spammy subjects. The algorithm does not require any persistent storage, dictionaries, additional hardware upgrades or software packages. The performance of the algorithm is presented on the one day of the real SMTP traffic.
Industrial Pumps Anomaly Detection and Semi-supervised Anomalies Labeling Through a Cascaded Clustering Approach

Automation technology has brought significant changes to agriculture, industry, commerce and other fields, among which the machine learning algorithms are the important applications of predictive maintenance of industrial equipment. In general, anomalous trends should be detected timely before failure occurs so that unscheduled downtime can be avoided. In addition, predictive maintenance can avoid unnecessary maintenance and make good use of component remaining life by setting appropriate maintenance periods for worn parts. In this paper, based on the real case in which data collected by the various sensors on coal mine pumping system, we propose a cascaded unsupervised clustering method that consists of DBSCAN and spectral clustering to identify uncommon abnormal data and classify the common abnormal data. As equipment continuously operating, the proposed cascaded clustering method can gradually utilize the obtained uncommon abnormal data to enlarge the common abnormal data. This process implemented through periodic manually labeling is regarded as a semi-supervised manner. The results show that DBSCAN has good discriminative power for uncommon abnormal data, and the spectral clustering can properly classify working condition of water pumps with 93% accuracy on test data.
Digitization and Society: Forms of Interaction and Expression

This article aims to reveal the digitalization as an integral part of the society. Every process, phenomenon, community and relationship is related to digitalization and information technology. This analysis presents different forms of symbiosis between society and digitalization. The objectives of the paper are to show specific dimensions of the advent of digitization and the various technologies in the Bulgarian society. The main research questions are related to the performance of high-tech level of Bulgarian online environment and focus on the main features of online learning, which are identified as new educational activities. Methodology of this article is based on results obtained from an online survey conducted in March 2021 with people of different ages, occupations and education. The survey questionnaire included topics that directly relate to the digitalization of society, the use of various digital devices and the Internet, participation in online education and attitudes toward it. The results obtained are indicators that digitalization of society is a real fact as well as that online learning has a place in the Bulgarian educational system. This article focuses on peoples' reactions, their assessments and views on ongoing online learning and its formatting. The whole article and the survey carried out are under the national project “Digital Media Literacy in the context of “Knowledge Society”: state and challenges”, № КП–06–H25/4, funded by National Science Fund—Bulgaria.
Meaningful Learning of Regular Basic Education Students in the Construction of Polyhedra from the Cube in a Graphical 3D Geometry Environment

This research paper revolves around the need to learn polyhedral constructions. Students often do not realize that polyhedra are present in almost everything around them: microorganisms, minerals, architectural constructions and virtual reality objects. Currently, there is an accelerated process in the acquisition of digital skills worldwide, which can motivate and strengthen the meaningful learning of mathematics. For this reason, it is important that the teacher manages technological resources for the teaching of mathematics and thus awaken the student’s interest in learning. We consider GeoGebra free software as an excellent tool to develop digital and spatial skills in the student for the understanding and construction of polyhedra from previous geometric concepts. The objective of the research work is to propose a work methodology for the construction of new polyhedra from the regular hexahedron using GeoGebra, allowing students to explore 3D spaces.
Semantic network analysis of the biotechnology domain in Iranian high school biology textbooks

Textbooks can have a fundamental and positive effect on both learning and teaching. As such, in order to understand how students structure concepts in their minds, it is necessary to analyze the structure in which those concepts presented in textbooks are described. This study examined a network of concepts used in the domain of biotechnology in the Iranian 12th grade biology textbook and investigated the alignment of science concepts used in its sub-domains. The findings of this study suggest that too many concepts, as well as unconnected ones, were used in biotechnology domain, which led to a complicated conceptual network. Therefore, this paper recommends that the number of biology concepts described in the later text books in the biotechnology domain at Iranian high schools should be reduced in order to facilitate a better formation of connections between concepts and their descriptions.
Methods and Applications of Clusterwise Linear Regression: A Survey and Comparison

Clusterwise linear regression (CLR) is a well-known technique for approximating a data using more than one linear function. It is based on the combination of clustering and multiple linear regression methods. This article provides a comprehensive survey and comparative assessments of CLR including model formulations, description of algorithms, and their performance on small to large-scale synthetic and real-world datasets. Some applications of the CLR algorithms and possible future research directions are also discussed.
Explainable Integration of Social Media Background in a Dynamic Neural Recommender

Recommender systems nowadays are commonly deployed in e-commerce platforms to help customers making purchase decisions. Dynamic recommender considers not only static user-item interaction data, but the temporal information at the time of recommendation. Previous researches have suggested to incorporate social media as the temporal information in dynamic neural recommenders after transforming them into embeddings. While such an approach can potentially improve recommendation performance, the effectiveness is difficult to explain. In this article, we propose an explainable method to integrate social media in a dynamic neural recommender. Our method applies association rule mining, which can generate human-understandable behavior patterns from social media and e-commerce platforms. With real-world social media and e-commerce data, we show that the integration can improve accuracy by up to 14% while using the same data. Moreover, we can explain the positive cases by examining relevant association rules.
Log in or out of online schooling: the case of Romania

This paper is about access to and participation in education under COVID-19 circumstances, in 2020, for the case of Romania. The study is based on a desk research and a qualitative research. The purpose of conducting the desk research was to better understand the circumstances under which educational activities have been performed in Romania during 2020. The qualitative research was conducted between November and December 2020, with the representatives of disadvantaged educational units from several development regions of Romania. The following research questions guided the study: (i) what are the key factors influencing access and participation in educational activities during the pandemic in Romania? (ii) which are the coping strategies (if any) developed in response to the pandemic constraints? The respondents of the qualitative research are school principals of ten pre-university disadvantaged educational units. The conducted thematic analysis identified six themes, with various subsequent themes in each field. They are grouped as follows: (1) high instability of the educational environment; (2) distance learning without an online component, incorporating a discussion on access to equipment and internet; local administrative capacity; increased educational risks and inequalities and implications for student's assessment; (3) distance learning for children with special educational needs and children with disabilities; (4) coping strategies used in distance learning; (5) parents' participation in distance learning and (6) perceived difficulties and support needed during distance learning. The paper provides implications and future research directions in the last section.
Distance Learning and Multimedia Teaching Education: E-Laboratory Activities during Covid-19 Pandemic

Abstract During the COVID-19 pandemic lockdown, Italian schools and Universities were closed. In this scenario, teachers, in order to continue their work, had to manage the didactics by themselves, carrying out Distance Learning, thanks to the technology support. Nevertheless, teachers had some methodological and technical difficulties. This situation required the replanning of some physics contents, trying to include laboratory activities, too. A teachers’ training was organized in order to support the teachers both for effective and meaningful use of ICT and to carry out some laboratory activities in Distance Learning mode. The training aimed to investigate leading technologies relevant to physics teaching, the competencies that a physics teacher has to acquire to use digital technologies, and the effective approaches to develop these competencies. The course was organized into four webinars, timing 10 hours. Teachers became confident with ICT for communication, sharing, and documentation. Moreover, teachers approached the IBSE methodology, as modified by adding a further E-laboratory phase to the 5E cycle, promoted by Bybee, by planning a learning chunk, including a laboratory activity in synchronous e-learning mode. 20 High School Physics teachers were involved in the training.
Jual Beli Kosmetik Bekas Dikalangan Mahasiswa

Muamalah is God's rule that regulates human relations with humans in meeting needs either by exchanging goods or something useful. In muamalah, buying and selling is the most important activity, such as buying and selling used cosmetics. Used cosmetics are traded by students at the Padangsidimpuan State Islamic Institute. Used cosmetics come from personal property and some items that are deposited for resale. Used cosmetics are offered with several details such as price and product conditions.The main problem in this study is how the practice of buying and selling used cosmetics among students of the Padangsidimpuan State Islamic Institute and how the fiqh muamalah review of the practice of buying and selling used cosmetics.This research uses the field research method (field research). Data collection techniques used in this study were observation, interviews and documentation. Data analysis was carried out using the text method which was sourced from the research subject, namely the sources of sellers and buyers of used cosmetics.The results showed that the practice of buying and selling used cosmetics among students of the Padangsidimpuan State Islamic Institute did not provide clear information about the product, used cosmetics were sold without product packaging boxes, and the unbalanced content of cosmetics with the prices of used cosmetics. The review of muamalah fiqh in the practice of selling used cosmetics carried out by students violates the basic principles of muamalah, namely the object being traded is not clear because it is speculative or vague, it is forbidden to be traded because used cosmetic products sold do not yet have BPOM notification and Halal label. This buying and selling should be done on the basis of attracting benefits and rejecting harm. In practice, buyers do not feel the benefits of buying used cosmetics because the contents of the cosmetics have been widely used before and the cleanliness and safety of the products are not guaranteed so that buyers get negative effects from using products such as acne, irritation, and reddened skin. For sellers, this activity is caused by the desire to sell used cosmetics to get money back and there are also those who are no longer suitable for using these cosmetic products.
Criteria for the effective use of educational technology

In recent decades, special attention is paid to the problems of theoretical justification, development and implementation in the educational process of modern technologies aimed at achieving high and sustainable results of pedagogical activity. Improvement of pedagogical technologies is the main goals and objectives of modern education. Quality improvement of education is impossible without determining the effectiveness of educational technology. Educational technology is a broad concept, it also includes pedagogical technologies, which include training, educational technologies and management technologies. Educational technologies are similar to teaching methods, as they are a way of organizing the pedagogical process and the interaction between its subjects and objects. However, there are differences between them. Educational development is a method of rational merit of the purpose of the pedagogical process with the implementation of appropriate ways. The concept of criterion is an important definition (cognition, application) of educational technology: it helps to determine whether a certain style of teaching is a technology, methodology or some other way of teaching described in the pedagogical literature. The criteria for determining the effectiveness of applying a certain educational technology in the pedagogical activity of a teacher will be different depending on what kind of technology the teacher uses in his work. To determine the effectiveness of the educational technology, it is necessary to determine how it meets the requirements for the educational process, to determine its belonging to the subject-oriented or person-oriented technology The criteria of effectiveness of the educational technology application will be the acquired competences, the emotional state of the participants of the educational process, the tasks formulated for further development, the presence of situations of success for each applicant of education, the desire to move forward. Key words: criteria, educational technology, educational process, methodology, innovation