Reviewerly/exHarmony huggingface dataset:
Research on Interaction Strategies of Skill MOOC Based on the ANOVA analysis

The ANOVA analysis is an analytical method used in comparative experiments to determine whether the relationship between independent variables and dependent variables is significant. The ANOVA analysis has the characteristics of stability and sensitivity, which can accurately and quickly calculate the significance of the influence of different independent variables on dependent variables. In this paper, the ANOVA analysis is applied to analyze the impact of two interactive forms of MOOCs on user satisfaction. This paper uses “Python Programming” MOOC as a specific case, and concludes that the interactive method of three-stage practical teaching is superior to the traditional method. Finally, the interactive strategy of skills MOOCs is derived based on the experiment and analysis results.
Peer Review: Syntax for language teachers: Revisiting the nature of language

Teaching language is not only a matter of delivering languagematerials to the learners (e.g., using various methods or media), but it is also about what is thought and what is understood by the teachers that might contribute indirectly in designing and delivering the materials. Those aspects are the manifestations of teachers’ knowledge about language. Teachers who have sufficient understanding on language will be able to conduct better practice of language teaching since they understand what they are teaching. It is then intriguing to discuss the roles of syntax for language teachers: what can teachers benefit from it? This paper aims at revisiting the importance of syntax for language teachers by looking at the nature of language and thenature of syntax. This paper reviews the available relevant literature. The result of discussion emphasizes the potentiality of syntax to equip teachers with adequate knowledge on language, language structure and how to cope with changes in language. Moreover, reading syntax research can enrich teachers’ knowledge. This knowledge can be of beneficial for teachers, for instance in designing the language contentof teaching materials. These are not surprising since language teachers are teaching language; therefore, they should also consider language characteristics of the language they are teaching.Keywords: syntax, linguistics, language teachers
Edutainment Centers as an Educational Phenomenon. The Case of KidZania

Ger Graus OBE, Global Director of Education, KidZania; Visiting Professor, Institute of Education, National Research University Higher School of Economics. E-mail: ger.graus@kidzania.comSergey Kosaretsky, Candidate of Sciences in Psychology, Director of the Center for Socio-Economic Development of Schools, Institute of Education, National Research University Higher School of Economics. E-mail: skosaretski@hse.ru (corresponding author)Anzhelika Kudryavtseva, Master of Evidence-Based Educational Policy (Institute of Education, National Research University Higher School of Economics). E-mail: likatrofimova@gmail.comKaterina Polivanova, Doctor of Sciences in Psychology, Professor, Academic Supervisor, Center for Modern Childhood Studies, Institute of Education, National Research University Higher School of Economics. E-mail: kpolivanova@hse.ruElizaveta Sivak, Director of the Center for Modern Childhood Studies, Institute of Education, National Research University Higher School of Economics. E-mail: esivak@hse.ruIvan Ivanov, Analyst, Center for Socio-Economic Development of Schools, Institute of Education, National Research University Higher School of Economics. E-mail: iyivanov@hse.ruAddress: 20 Myasnitskaya Str., 101000 Moscow, Russian Federation.Edutainment centers, i. e. centers that both educate and entertain, have sprung up across the globe since the 1970s. At the end of the 20th century, a new type of such centers emerged: theme parks for children, KidZania being the first of its kind and the most global one. Through the example of KidZania, this study examines the characteristics of theme parks that have made them popular among children and their parents as well as the role of such parks in today’s urban learning ecosystems. The paper also explores how the relationship between entertainment and education and the one between the commercial and educational components of edutainment centers affect the current state and development prospects of the sector.
Amaze Co. Company : Portable Toaster Knife / Khairul Najwaa Kamarazman ... [et al.]

Amaze Co. Company is a new company that produce a new technology for the existing product. The first produce that be produce by Amaze Co. Company is Portable Knife Toaster. The Portable Knife Toaster is used to cut the bread and toast the bread right after that at a suitable temperature. The main problem that faced by the entrepreneurs out there is the bread take time to toast. Therefore, the product is suitable to those that served toast bread in their menu and to housewife that need to toast bread at home. As a solution, this product will help make the toast bread easier as it also can be used to melt the butter on the bread. Besides that, this product also very light and washable. It comes in small size that make it easier to those who want to take it to travel.
Challenges of Collective Inertia and Scarcity to Technological and Vocational Education Universities

The massification of higher education institutions in Taiwan, typically in universities of science and technology, creates competition for resources and currently threatens foreclosures in Taiwan’s higher education system. To answer this challenge amid global competition among universities, the Ministry of Education (MOE) implemented the World-Class Research University Project, creating the initiative for higher education institutions to quickly gain world-class status with the reasonable belief that strong global visibility would attract much needed international resources to supplement local ones. However, the race for global reputation has created highly stressful environments for faculty members to publish research papers in highly regarded international journals. In highlighting fundamental paradoxes of the system and the rationale behind them, this paper attempts to stimulate a much-needed reflection that might pave the way for rational and empirical efforts to transform higher education in Taiwan. This paper also reveals that the emphasis on speed-up achievement has overwhelmed the original academic missions of higher education and placed academics in a scarcity mindset with quantity drowning essence. The primary mechanism for keeping the current system is the collective inertia that limits academics from breaking out of the mould of habitual approaches. This paper discusses all sorts of findings, reported events, theoretical ideas, and inherent contradictions in relation to Taiwan universities in an attempt to frame the essential background on the problems in terms of scarcity mindset and inertial thinking. Finally, the paper provides some suggested solutions. The reflection in this paper may inspire faculty members in higher technological and vocational education programs to lead school administration and industry development with practical and updated knowledge. It is crucial to revitalising faculty members’ educational enthusiasm through building professional autonomy and self-efficacy.
Research on Hybrid Teaching Mode Based on Personalized Learning Resource Recommendation

The traditional classroom teaching mode has the shortcomings of relatively single form and unable to carry out differentiated teaching for individual students. Under the background of education informatization 2.0 action plan, “Internet+ education” has been developing rapidly. “Online” plus “offline” hybrid teaching mode also emerged. In view of this background, this paper designs a hybrid teaching mode which can carry out personalized learning resource recommendation. Taking the teaching of algorithm design and analysis as an example, this paper constructs a student-centered, innovative and personalized learning mode. Through the data mining and analysis of students’ individual learning behavior, the personalized learning approach is innovated. The teaching practice shows that this method can effectively enhance the teaching effect.
A Survey on Video Compression using Deep Neural Networks

The rise in video content shared over the internet demands the need for state-of-the-art video compression. A quality compression can help enable the efficient transmission of video data over limited bandwidth. Particularly during the COVID-19 pandemic, we saw that the increasing internet traffic used for video conferencing, gaming, and online learning forced Netflix, YouTube, and other streaming providers to limit their video quality in Europe and other countries as well. Standard video compression algorithms represent them as a sequence of reference frames following residual frames, and these methods lack versatility. The advent and recent advances in deep learning can solve such issues. This paper summarizes some of the Deep Video Codec (DVC) frameworks and their characteristics.
MITIGATING GROUP DISCUSSIONS IN DESIGN ACTIVITIES FOR JAPANESE HIGH STUDENTS DURING COVID-19 PANDEMIC

The purpose of this study is to clarify the factors that affect effective group discussions when using online whiteboard during face-to-face design activities for high school students in the classroom during the pandemic.Using a case study approach, the research was conducted at Fukusho High School in Fukuoka, Japan.Through the questionnaire survey, face-to-face discussions when combined with the use of online whiteboard, offers real-time verbal and non-verbal feedback that enabled effective group discussions during the design process.In addition, students' competencies in using digital devices may not influence the effectiveness of communications during group discussions and their motivations in using online whiteboard.The current findings may provide a useful hypothesis for further study to verify the correlations between students' competencies, effectiveness in communications when using online whiteboard during face-to-face discussions, and students' motivations in using online whiteboard.
Nuevos escenarios educativos en matemática discreta trabajando con JFLAP

Information and communication technologies (ICT) allow greater interactivity between teachers and students, and promote the emergence of new scenarios for learning. Humanity communicates with natural languages; and with machines through artificial languages. Theoretical Computing is based on a mathematical base derived from Algebra. It is one of the objectives of the subject of Discrete Mathematics that students can formalize notions related to mathematics and computing, emphasizing the study of formal languages ​​and automata. This proposal compares the construction of the deterministic finite automaton that responds to a certain language, made by hand and with Jflap software; that in appearance they are different, but with theoretical interventions it was possible to conclude that they were equivalent.
Research Guides: Getting Started with HoloLens 2: Resources

A basic introduction to using the HoloLens2 and some of the educational resources available, designed for the faculty and staff of TCC's Trinity River Campus. Links to various HoloLens 2 Resources and Applications
The Role of Trust in Modern Food Production Through Blockchain and Related Technologies

The purpose of this chapter is to determine the effect of blockchain technology on the level of consumers' trust in the food production process. Apart from that, the authors formulate a hypothesis that blockchain technology increases consumers' trust in individual food chain elements. In order to measure consumers' trust in the food production process, a model of consumers' confidence has been developed based on their trust in farmers and food sector processors and in wholesalers and retailers using blockchain technology. The data has been collected using a questionnaire. The survey was conducted among 256 respondents in Poland. Completed analysis has shown that blockchain technology increases consumers' trust in the food production process. Interestingly, employment (including employment in the new technology sector) shows no impact on the relations between blockchain and the fairness of food production.
Performance evaluation of machine learning algorithms for detecting Hindi sarcasm

Sentiments, the common way people express their feelings, have been greatly influenced with the advent of Sarcasm. Being sarcastic is considered trendy and thus people use it extensively in their day-to-day language. Sentiment Analysis, also known as Opinion Mining, has encountered Sarcasm as a challenge since a long time. Sarcasm, which finds few human brains susceptible to its presence and effects, has posed to be the toughest of all problems. One of the issues with Sarcasm Detection is the numerous ways it can be expressed with. Since there has not been a perfect answer to all the Sarcasm issues, this paper attempts to analyse and evaluate the popular Machine learning techniques on mixed sarcasm types.
EDUCATIONAL COMIC AS A MEDIA EDUCATION TOOL FOR STUDENTS’ PERCEPTION OF NEW KNOWLEDGE

This article discusses the problem of perception of educational information. The authors proceeded from the hypothesis that modern students living in the digital age prefer visual information over text documents. The team of authors carefully analyzed the ideas of modern Russian and foreign scientists who are exploring the problem of the effectiveness of the visual transmission of educational material, as well as the problem of the Z-generation’s need for non-verbal communication means, such as: diagrams, mind maps, comics. The article examined the question of the interest of modern adolescents in small laconic texts in which emotions are highlighted with smiles. In addition, the article discusses the high potential of educational comics as a visual material for lessons and extracurricular activities in academic subjects. Modern digital generation naturally embraces comic strips that represent a real life event. Analyzing the research of colleagues, the authors adhere to a stable methodological paradigm, emphasizing the inextricable link between visual and textual perception and assimilation of information using educational comics as innovative teaching aids that maximally implement the principle of visibility in the educational process. Comics as a method of conveying information are accessible and easy to understand and perceive, associated with real actions. The authors of the article considered the problem of the formation of media literacy, which has been recognized for a long time and is included in the educational programs of schoolchildren in most countries, in contrast to Russian education. The team of authors has developed a methodology for applying media technology through educational comics in teaching, which contributes to acquaintance with the IT world and the formation of digital intelligence in students, which allows them to form skills in using the digital resources of the educational space. The article provides examples of comics on biology with the involvement of intersubject connections.
An Exploratory Factor Analysis of AI Enabled SE Attacking Risk in Higher Learning Institute

Any kind of business organization or individual organization one word is very common that is information. Depending on the information and its communication medium ensure the effective of business. Whereas it is very much essential to understanding Artificial Intelligence (AI) Enabled Social Engineering (SE) attacks and its security risk management approach. Under such circumstance, information is exchanged from one country to another country for various purposes. In that case, artificial intelligence enabled social engineering attack must be considered in any kind of organization. Any kind of business venture is disturbed by this kind of attacks which will be failure the business operation, whilst enabling them to concentrate on their core business activities. Social engineering is one kind of criminal activities in the information security. It has proven to be very successful way for a criminal to get inside an organization. Once social engineering got password from an employee, then snooping around the sensitive data. However social engineering are the types of attacks inherent risk and any kind of organization should be aware of its potential risks. So, it could be identify and resolved quickly. The objective of this article, therefore, conducting an Exploratory Factor Analysis (EFA) in artificial intelligence enabled social engineering attacks on various organizations. Which consequently provide knowledge of the most relevant information security risk factor. For this article distributed 300 questionnaires in education sector for the study and 110 were returned. That means the response rate is 36%. In that case, the finding of the article shows that threat and vulnerability factors in artificial intelligence enabled social engineering attacks. So, for any organization these two factors are the most for information security risk.
LibGuides: Risk Management: Ask Us!

This guide is for the subject Risk Management. It contains resources available in the NCU Library.
Transformación digital en el sector educativo: retos y tendencias

Today, universities face changes associated with the transformation of their processes not only at the corporate or institutional level; but also at a technological level, which must be internally adapted to be at the forefront and to be able to meet the labor demands that the market requires. This is important because from there the introduction to another form of teaching methods is given and also because trained personnel are delivered to society who have skills and abilities to promote the business and economic development of a region or country, giving rise to the give education the visibility and importance that as such it should be seen. Right now, society is going through various advances in technological research and development by leaps and bounds that affect many sectors of the economy. Among these developments, they have given rise to issues such as digitization (a topic that should not be overlooked by education) which has been one of the main changes of humanity and day by day its impact is reflected in industries such as banking and finance, manufacturing, among others. Taking into account technological development and its revolution, its role in the economy and the necessary skills that must be given, it was proposed in this study to analyze the challenges and trends of digital transformation in the education sector, through structured information sources such as the Scopus database, data mining managers such as VOSviewer and WordArt. Thanks to this, results were obtained using these tools that allowed to find 6 trends associated with the object of the research: innovation, 4D printing, Blockchain, Big Data, MOOC and Social networks; being Blockchain and Big Data the most representative for the digital transformation in education due to the relevance given in the classified industry 4.0.
Solving school Olympiad problems as a means of quality profession-oriented training of future Physics teachers

The relevance of the study is explained by the need to increase the level of teaching Physics, to identify and develop creative abilities of both schoolchildren and students, future teachers of Physics. The preparation for Olympiads and their holding helps to raise interest in Physics. The analysis of scientific sources shows that, despite the interest of scientists in the problem of organising and improving the preparation of students for the Physics Olympiads, this problem needs further study. In particular, the pedagogical conditions for preparing students for the Physics Olympiads have not been identified; effective methods, forms and means of teaching, possibilities of information and communication technologies aimed at training students for the Physics Olympiads have not been sufficiently studied, which is especially relevant in distance training. The purpose of the study is to identify and implement pedagogical conditions for training students majoring in Secondary Education (Physics) at Ushynsky University, to develop skills in solving school Olympiad problems. In accordance with the set goal, pedagogical conditions for preparing future Physics teachers to solve school Olympiad problems have been identified and introduced into the educational process, namely: creation of interactive interaction between teachers and students in the process of solving Olympiad problems; use of modern Internet technologies, distance learning methods in the educational environment as an important factor in intensifying independent work in the process of profession-oriented training in solving school Olympiad problems. According to students, the introduction of certain pedagogical conditions contributed to increasing the level of profession-oriented training aimed at future teachers of Physics, the development of these skills: the ability to interest students in Physics; create an atmosphere of emotional enthusiasm in teaching Physics; teach basic algorithms and approaches to solving non-standard problems; to teach non-standard thinking and initiative not only in solving physical problems, but also in solving life situations; to increase the level of knowledge of English in a professional direction.
LibGuides: Discover the Universe: Quantum Mechanics

Explore the Universe through multiple media resources. This guide is designed to showcase various science communicators that explain the very complex fields of quantum mechanics, astrophysics, special relativity and so much more!
Lossy Image Compression Using Hybrid Deep Learning Autoencoder Based On k-mean Clustering

Image compression plays an important role in reducing the size and storage of data while increasing the speed of its transmission through the Internet significantly. Image compression is an important research topic for several decades and recently, with the great successes achieved by deep learning in many areas of image processing, especially image compression, and its use is increasing Gradually in the field of image compression. The deep learning neural network has also achieved great success in the field of processing and compressing various images of different sizes. In this paper, we present a structure for image compression based on the use of a Convolutional AutoEncoder (CAE) for deep learning, inspired by the diversity of human eyes' observation of the different colors and features of images. We propose a multi-layer hybrid system for deep learning using the unsupervised CAE architecture and using the color clustering of the K-mean algorithm to compress images and determine their size and color intensity. The system is implemented using Kodak and Challenge on Learned Image Compression (CLIC) dataset for deep learning. Experimental results show that our proposed method is superior to the traditional compression methods of the autoencoder, and the proposed work has better performance in terms of performance speed and quality measures  Peak Signal To Noise Ratio (PSNR) and Structural  Similarity Index (SSIM) where the results achieved better performance and high efficiency With high compression bit rates and low Mean Squared Error (MSE) rate the results recorded the highest compression ratios that ranged between (0.7117 to 0.8707) for the Kodak dataset and (0.7191 to 0.9930) for CLIC dataset. The system achieved high accuracy and quality in comparison to the error coefficient, which was recorded (0.0126 to reach 0.0003) below, and this system is considered the most quality and accurate compared to the methods of deep learning compared to the deep learning methods of the autoencoder