Reviewerly/exHarmony huggingface dataset:
The complex of interactive didactic games as a means of developing geometric thinking of students of the 7th grade

The article deals with issues related to the development of geometric thinking when teaching geometry in general education organizations through the use of a set of didactic games.The relevance of this study is due to the difficulties of students studying geometry at the initial stage of the systematic course.Analyzing the conceptual approaches and trends in modern education the authors determine the importance of gamification as one of the ways of developing geometric thinking in the conditions of digital transformation based on a system-activity approach.The purpose of this study is to develop an author's approach to the development of geometric thinking of students through the use of a set of didactic games in teaching geometry in the 7th grade.To achieve the goal, the authors analyze the results of scientific research on this problem; identify the approaches to its solution.Based on the analysis of practical materials on the development of digital resources, the features of their content and possibilities of use for the development of geometric thinking are revealed.The authors draw the conclusions that the possibilities of using gamification elements for the formation and development of geometric thinking of students of general education organizations have not been fully disclosed, subject-oriented complexes covering all theoretical concepts of a systematic course of geometry and involving the practical application of their properties have not yet been developed.With the help of such methods as observation, analysis, modeling, experiment, the authors have developed a set of didactic games that provide interactive and differentiated learning of geometry.The complex is a digital resource intended for CITISE http://ma123.ruЦИТИСЭ №4 (34) 2022
Artificial Intelligence and Mixed Reality Technology for Interactive Display of Images in Smart Area

The adoption of immersive technologies has altered the traditional shopping experience. We report the results of a study that set out to see how people react to a 17 million artificial intelligence (AI) embedded mixed reality (MR) exhibit in a shopping and entertainment complex that brings together cutting-edge technology and traditional retail. Our research shows that MR enjoyment, spatial immersion, and consumers’ perceptions of unique experiences are all positively impacted by the quality of AI (i.e. voice synthesis and recognition using machine learning) connected with an augmented object. All of these things work together to pique consumers’ interest and elicit favorable reactions, including the desire to make a purchase and the want to tell others about the experience. In conclusion, this research demonstrates that there are new opportunities to increase customer engagement thanks to interactive AI and MR technology.
Multi-scale analysis and interpretation of multi-method geophysical data sets

Redundant wavelet transform is proposed to analyze multi-method databases. Multi-scale analyses are used to separate target features from noise and background. As a main result, we generate composite images optimized for complementary information.
Sudden Shift to English Online Learning: Nursing Students’ Anxiety Levels

COVID-19 pandemic has forced educational institutions in Indonesia to convert face-to-face learning into online learning. This sudden change certainly brings many challenges, one of which is related to students’ anxiety. This research aims to identify the anxiety level of nursing students at Pelita Harapan University while learning English virtually. Quantitative method was applied, with a Foreign Language Classroom Anxiety Scale (FLCAS) questionnaire as an instrument. Second year nursing students who had passed the English for Nurses course were the population of this study. To generate the sample, the researchers utilized convenience sampling technique, resulting in 182 respondents. The results showed that 69.8% of respondents felt moderately anxious during the English online class. In addition, test anxiety was the most common anxiety category experienced by nursing students. It made students afraid of failing to get good grades, being overwhelmed in understanding the material, nervous when they must speak English, and panicking when they do not comprehend the oral feedback given by the teacher in synchronous class. The results of this study are expected to provide insight to educators to develop strategies to reduce students' anxiety levels.&#x0D; Keywords: Anxiety, English, Nursing, Pandemic
Exploration on the Reform of University Physical Education under the Vision of Lifetime Physical Education

Lifetime physical education refers to a person receiving lifelong physical education and physical exercise.The concept of physical education is not only a course of a school, but should be integrated into the students' life concept.With the development of teaching concepts and social progress, the importance of physical education in school education is also reflected, but the concept of lifelong physical education has not been recognized by teachers, students and parents.At present, lifelong physical education, as the ultimate goal of China's current physical education, has positive value in students' health and overall literacy, and this university physical education needs to be studied in in-depth.Therefore, this paper will discuss the practical problems and related strategies of university physical education reform under the perspective of lifelong physical education.
Data collection and outcome measurement in student counseling services in Irish higher education institutions: Counselors’ views on challenges and facilitators.

With increasing concerns around student mental health, student counseling services (SCSs) in higher education are being challenged to show evidence of their contribution to the personal and academic development of students through evidence-based approaches including systematic data collection and standardized outcome measurement. This study aims to document data collection and measurement processes in SCSs in higher education institutions (HEIs) in Ireland and to explore the opinions of staff in SCSs on the feasibility and functionality of a standardized national database for SCSs to enhance robust data collection and measurement across the sector. Twenty-three interviews were conducted and thematically analyzed with staff in SCSs in 22 HEIs (85% of publicly funded HEIs). Findings revealed that the process of data collection in SCSs is mainly focused on individual counseling with variations among SCSs in collecting clients' demography, presenting issues, and clinical and educational outcomes. Lack of human and financial resources, no access to an electronic data management system, negative opinions about standardized outcome measures, and concerns over data protection and misuse of data were impeding factors for systematic data collection in SCSs. There is strong support among SCSs for the establishment of a national database which is facilitated by secured funding from the Higher Education Authority, a strong sense of community and trust among student counselors, and a history of data collection through the Psychological Counsellors in Higher Education Ireland association. Findings offer insights into challenges and facilitators for robust data collection and measurement at a national level. (PsycInfo Database Record (c) 2023 APA, all rights reserved).
Consensus algorithms for Opt-in/Opt-out and proximity marketing context

Data security is today regarded as one of the most difficult duties that IT professionals must fight for. And today, consumers are more concerned about their data, and they begin to wonder why the rules that attempted to protect their data, particularly in the proximity marketing arena, have failed. Users’ information is shared without their awareness among market participants. Many systems have emerged through regulation to safeguard users and the market, the most well-known of which is Opt-in/Opt-out, which asks users for permission to use and share personal information with a third party. In addition, they have the opportunity to revoke their permission at any moment. In practice, however, this approach is ineffectual because opting out does not prohibit corporations from exploiting the data. In this work, we propose a novel invention that combines Opt-in/Opt-out with consensus algorithms in a decentralized way to provide a more secure environment for the user, giving the user the primary control to grant the company access to his data or a real withdrawal consent at any time.
Introduction of Optimization Algorithm for Adaptive Gradient

Machine Learning is facing rapid development due to the almost unlimited amount of data available, and it is widely applied in diverse areas. Optimization is one of the core components in the machine learning which attracted more researcher's attention to it. In recent years there has been a great deal of work on improving optimisation methods in machine learning. In this paper we will introduce the Adaptive Gradient(Adapg), a new extension in the adaptive learning family Optimization algorithm.
An Efficient Technique for Global Facial Recognition using Python and OpenCV in 2D Images

The present work is an investigation that deals with the use of efficient techniques for global facial recognition using Python and OpenCV carried out in the Information Systems career of the Faculty of Engineering and Applied Sciences of the Technical University of Cotopaxi. We work with a database of 2D faces corresponding to the students of the Information Systems career that served for the analysis and comparison of the three techniques used (Fisherfaces, EigenFaces, LBPH). The objective of our work is to determine an efficient technique that contributes to the area of global facial recognition, contributing significantly to the field of university security, taking into consideration the saving of resources for future implementations. Finishing this work with the respective analysis and interpretation of the research results, it has been determined that of the three techniques studied, LBPH has the best results both in training time and in face recognition efficiency, reaching near 100% in our tests.
Digital Currency and Banking-Sector Stability

Digital currencies provide a potential form of liquidity competing with bank deposits. We introduce digital currency into a macro model with a financial sector in which financial frictions generate endogenous systemic risk and instability. In the model, digital currency is fully integrated into the financial system and depresses bank deposit spreads, particularly during crises, which limits banksâ€™ ability to recapitalize following losses. The probability of the banking sector being in crisis states can grow significantly with the introduction of digital currency. While banking-sector stability suffers, household welfare can improve significantly. Financial frictions may limit the potential benefits of digital currencies.
Exploiting Prototypical Explanations for Undersampling Imbalanced Datasets

Among the reported solutions to the class imbalance issue, the undersampling approaches, which remove instances of insignificant samples from the majority class, are quite prevalent. However, the undersampling approaches may discard significant patterns in the datasets. A prototype, which is always an actual sample from the data, represents a group of samples in the dataset. Our hypothesis is that prototypes can fill the missing significant patterns that are discarded by undersampling methods and help to improve model performance. To confirm our intuition, we articulate prototypes to undersampling methods in the machine learning pipeline. We show that there is a statistically significant difference between the AUPR and AUROC results of undersampling methods and our approach.
ICDARTS: Improving the Stability of Cyclic DARTS

Cyclic DARTS (CDARTS) is a Differentiable Architecture Search (DARTS)-based approach to neural architecture search (NAS) that uses a cyclic feedback mechanism to train search and evaluation networks concurrently. This training protocol aims to optimize the search process and evaluate the deep evaluation network comprised of discretized candidate operations. However, this approach introduces a loss function for the evaluation network dependent on the search network. The dissimilarity between the evaluation network’s loss function used during the search and retraining phases results in a search network that is a sub-optimal proxy for the final evaluation network accessed during retraining. We present a revised approach that removes the dependency of the evaluation network weights upon those of the search network. In addition, we introduce a modified process for relaxing the search network’s zero operations that allows these operations to be retained in the final evaluation networks.
An exploratory analysis of a dynamic ensemble structure using an automatic decision process

The use of dynamic selection techniques in classifier ensembles, for attributes or member selection, has appeared in several studies in the literature as a mechanism to increase accuracy of classifier ensembles. In order to present an efficient classification structure, in this paper, we propose an automatic decision process to select the best classification structure for a testing instance. In order to do this, the decision process is capable of defining if a testing instance should be classified by a dynamic classifier ensemble (result of the integrated dynamic technique) or by a single classifier. The empirical analysis presents a substantial decrease in the processing time without deteriorating the performance of the classifier ensembles of the proposed technique.
Implications and current status on the operation of joint curriculum for the high school credit system between the Office of Education and local universities

The purpose of this study was to analyze the current state of operation of the high school credit system joint curriculum between the Office of Education and local universities, and based on the results, draw implications for revitalizing the organization and operation of the cooperative curriculum at local universities. To this end, literature analysis and interviews were conducted, and the following implications were drawn. First, it is necessary for the president of a university to show interest in the operation of the cooperative high school credit system curriculum with local universities and to show leadership that can induce the participation of university members. Second, it is necessary to set up a department in charge of the high school credit system joint curriculum within the university and to allocate professional manpower. Third, the department in charge of the high school credit system joint curriculum within the university and professional manpower should also be in charge of quality management within the university, such as building a manpower pool within the university, training instructors participating in the high school credit system, and managing the satisfaction of students participating in the high school credit system. Fourth, university professors participating in high school teacher training organized by the Office of Education should use field-oriented, practical training methods.
Changes in Perceptions of the Teaching and Learning Culture of a General High School after the School Autonomy Policy

Along with the implementation of the government's school autonomy policy, we wanted to investigate to what extent teacher led lectures and test-solving classes would be changed into learner centered or student activity-oriented class in a general high school(Sky high school), using qualitative research method. In the Sky high school, the principal waited for teachers to change their teaching methods, rather than demanding changes and supported teachers who tried to change teaching method. There were teacher learning communities and teacher training led by a head teacher in the Sky high school. The student activity-oriented class as an “emergent culture,” were conducted by individual teachers. Students who were in higher grade and higher achieved were less likely to be positive to activity-oriented classes since such classes were seen as less effective in preparation for college entrance. School autonomy in the Sky high school has led not to force or not to interfere, not to say hateful things each other, and not to stand out. Not to stand out has been kept by the effect of the uniform egalitarian teacher culture as residual culture and to avoid anxiety of status and identity of teachers who have conducted teacher led lectures and test-solving classes.
A Comparative Study between ‘Green-smart Future School’ in Korea and ‘Future Ready School’ in the U.S : Focusing on Policy Goals and Policy Means

This study aimed to compare ‘Green-smart Future School’ in Korea and ‘Future Ready School(FRS)’ in the United States, and to derive implications for the successful implementation of Korea's future education policy. The subject of the analysis focused on ‘policy goals’ and ‘policy means’. First, Korea’s policy goals have a lesser clarity than the United States due to fragmented goals and high symbolism. Second, compared to the unified policy goals of FRS, Korean policy goals lack consistency due to less logical connectivity among sub-goals and mutual contradiction. Third, the policy enforcement agencies of Green-smart Future School were subdivided, compared to the FRS’ unified manner entrusted to non-profit organizations. Fourth, the Korean compliance securing means was confirmed by normative persuasion and coercion, and the U.S compliance securing means was confirmed by normative persuasion and support. Based on this, four suggestions were derived as follows: First, even considering the positive aspects of symbolic ambiguity of policy goals, it is necessary to present clearer policy goals for the correct directionality of policy execution. Second, the setting of a single policy goal makes it difficult to exercise flexibility in the field, but a consistent logical goal system is required for successful policy execution. Third, it is necessary to establish a policy execution system corresponding to a new paradigm of future education. Finally, to induce compliance with future education policy stakeholders, active support through two-way communication must be accompanied.
A Relationship among Self-direction, Teaching Presence, Social Presence and Perceived Academic Achievement of Teachers in Distance Training Program

The purpose of the study is to explore the effect of self-direction on academic achievement in distance training program mediated by teaching presence and social presence and examine the structural relationship between those factors. To achieve the research purpose, path structure of the research model were analyzed through confirmatory factor analysis of the structural equation model with 379 samples collected from the teachers who had participated in the program. As a result, this study found that first, the self-direction of the learners in distance education showed a positive effect to academic achievement. Second, their self-direction showed a positive effect to academic achievement by partially being mediated by the teaching presence and social presence. This study is meaningful in terms of broadening the understanding of factors affecting academic achievement in a distance education environment and the relationship by investigating the structural relationship between self-direction, teaching &amp; social presence, and academic achievement for learners. Significant implications are followed to support and design teaching and learning practices in distance education.
Pre-Service English Language Teachers’ Use of Reading Comprehension Strategies

Reading is an essential skill that every student needs to acquire since most of the information needed for academic development is presented in written textual materials. Readers need to make use of a variety of reading strategies to assist them with decoding and comprehending texts of various formats – print, visual, electronic screens or digital and at different levels of difficulty. This study identified the reading strategies used by pre-service English language teachers. Data was collected from one hundred and eighty-six (186) undergraduates enrolled in English language education programme in two universities in Delta and Edo states in Nigeria. The data was analyzed using both descriptive and inferential statistics, namely, mean standard deviation and independent sample t-test. The results indicated that the students reported a high use of reading strategies. The findings of this study also revealed that there was no significant gender difference in pre-service English language teachers’ use of reading strategies as both male and female students reported high use of reading strategies. Students in the third year of the programme (300 level) reported higher use of reading strategies than those in the fourth year of the programme (400 level). The findings however, revealed no significant difference in reading comprehension scores between moderate and high reading strategy users.
A Corpus/Variationist Approach to Ambiguity in Nigerian News Headlines

The language of news headlines requires that the specific meaning being constructed is without ambiguity, and thus be clearly identifiable by the readers. But ambiguity and meaning-making are so related that the former is, to a varying degree, almost always present in news headlines, given a number of linguistic and non-linguistic factors influencing the writer, reader, and the language at hand (Hirst, 1987, Akinlotan 2018d, Eckert 2018). This study shows (1) the extent to which ambiguity is present in online Nigerian newspaper headlines; (2) the linguistic nature of the ambiguity, and (3) how a total of 14 linguistic predictors clearly show where we might find ambiguous headlines, the nature of the ambiguity, and the different scenarios characterising (1) and (2). A total of 14 predictors is investigated on the basis of over a thousand news headlines extracted from a Nigerian national newspaper, The Punch, showing that ambiguity has a likely incidence of 22%. Of the ambiguous proportion, 47% is lexically-motivated while 53% is structurally motivated. A logistic regression shows a combination of factors including animacy and structural complexity as important predictors showing the nature and where/when we might find (non) ambiguous news headlines.
Functions

We can break our C++ code into smaller chunks called functions. A function has a return type, a name, a list of parameters in a declaration, and an additional function body in a definition. A simple function definition is
Use of Tinkercad as part of programming in elementary school computer science classes

The possibility of teaching programming in the form of blocks represents a great benefit and is becoming very widespread nowadays. Whether we are talking about children's programming languages, Lego MINDSTORMS or even Arduino programming. It is in connection with Arduino, especially for beginners who do not have sufficient knowledge, that it is appropriate to learn programming not directly on real hardware, but e.g. using the appropriate application. This will reduce the risk of damaging the Arduino by unwanted or inadequate intervention. Such an application is Autodesk Tinkercad. In our post, we will point out the possibility of facilitating learning the meaning of the ASCII table, using a practical example.